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llm-in-text/reports/searxng/searxng-expanded-final-20260609-133910.json
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“ydy0615” 17d211bf93 feat: add web search block functionality and integrate with existing plugins 
- Introduced a new web search block plugin to handle web search queries and results.
- Updated copilot, doc block, and pro block plugins to include web search context in AI completions.
- Implemented utility functions for parsing and building web search markdown.
- Enhanced API to support web search requests and responses.
- Added configuration for web search URL and timeout settings.
- Updated size limit checks to account for web search content.
2026-06-09 19:18:14 +08:00

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"title": "OpenAI 开发者 - OpenAI 教程",
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"title": "SoftBank, OpenAI unveil Japan AI joint venture",
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"content": "SoftBank Group CEO Masayoshi Son on Monday said he has agreed with OpenAI CEO Sam Altman to set up a joint venture in Japan to offer artificial intelligence services to corporate customers.",
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"title": "Group of ex-OpenAI employees back Musk's lawsuit to halt OpenAI restructure",
"url": "https://www.reuters.com/technology/artificial-intelligence/group-ex-openai-employees-back-musks-lawsuit-halt-openai-restructure-2025-04-12/",
"content": "Corporate leaders want to give investors control, drawing a host of concerns.",
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"title": "OpenAI wins $200 million US defense contract",
"url": "https://www.reuters.com/world/us/openai-wins-200-million-us-defense-contract-2025-06-16/",
"content": "ChatGPT maker OpenAI was awarded a $200 million contract to provide the U.S. Defense Department with artificial intelligence tools, the Pentagon said in a statement on Monday.",
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"title": "VIEW OpenAI joins Anthropic in IPO push",
"url": "https://www.reuters.com/legal/transactional/view-openai-joins-anthropic-ipo-push-2026-06-08/",
"content": "OpenAI said on Monday it confidentially filed for a U.S. initial public offering recently, joining rival Anthropic in a push toward the stock market as investors seek exposure to the artificial intelligence ​boom.",
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"title": "Meta poaches three OpenAI researchers, WSJ reports",
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"content": "Meta CEO Mark Zuckerberg has hired three OpenAI researchers to join his \"superintelligence\" team, the Wall Street Journal reported on Wednesday, days after OpenAI CEO Sam Altman accused the Facebook owner of trying to poach its employees.",
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"title": "OpenAI rolls out age prediction on ChatGPT",
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"content": "OpenAI on Tuesday said it is rolling out age prediction on ChatGPT globally, to determine whether an account is likely owned by a minor, as the artificial intelligence startup prepares to allow adult content on the popular chatbot.",
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"title": "OpenAI countersues Elon Musk, claims harassment",
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"content": "Last year, Musk accused OpenAI of straying from its founding mission - to develop AI for the good of humanity, not corporate profit.",
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"title": "Files to Go Public as A.I. Companies Rush to Wall St.",
"url": "https://www.nytimes.com/2026/06/08/technology/openai-ipo.html?partner=naver",
"content": "OpenAI, which started the artificial intelligence boom with its ChatGPT chatbot, filed confidentially on Monday for an initial public... “But it’s a complicated set of trade-offs, and this gives us the option to go public sooner if that ends up being best.” An OpenAI...",
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"title": "'We Expect It to Leak, So We're Just Announcing It': OpenAI Files Confidentially for IPO",
"url": "https://gizmodo.com/we-expect-it-to-leak-so-were-just-announcing-it-openai-files-confidentially-for-ipo-2000762237",
"content": "OpenAI is officially going public. The AI giant announced on Monday that it filed for an IPO with the U.S. Securities and Exchange Commission.",
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"title": "엠클라우드브리지, ERP 통합 AI 업무 플랫폼 'Ai 365' 발표",
"url": "https://www.etnews.com/20260609000264",
"content": "(Azure OpenAI Service), 마이크로소프트 패브릭(Microsoft Fabric)과 연동한 'Ai 365'로 기업 AI 업무 플랫폼 제공을 본격화한다고 밝혔다. 이는 기존... Fabric 데이터 ·Azure OpenAI AI 에이전트를 연동해 엔터프라이즈 AI 오케스트레이션 구현 Ai 365는 마이크로소프트 패브릭(Microsoft Fabric) 기반...",
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"title": "OpenAI files confidential SEC paperwork for IPO, opening the door to a Wall Street debut",
"url": "https://apnews.com/article/openai-ipo-chatgpt-c7583994426b1b097120786d6a0b8308",
"content": "OpenAI has filed preliminary paperwork to potentially become a publicly traded company. The company announced Monday it has submitted confidential documents to the U.S.",
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{
"title": "\"AI 호황 수익, 국민에게 나눈다\"…·백악관 1년 넘게 논의",
"url": "http://www.joseilbo.com/news/news_read.php?uid=569619&class=42",
"content": "7일(현지시간) 파이낸셜타임스(FT) 보도에 따르면, OpenAI를 비롯한 AI 기업이 자발적으로 일정 지분을 출연해 '국부펀드형' 공공 기금을 만들고, 그... OpenAI 주도의 국부펀드형 구상 업계 관계자들에 따르면 가장 유력한 시나리오는 AI 기업들이 자발적으로 소량의 지분을 출연하는 방식이다. OpenAI가 이를...",
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{
"title": "OpenAI files for IPO",
"url": "https://www.msn.com/en-us/money/companies/openai-files-for-ipo/ar-AA2585Mw",
"content": "OpenAI has confidentially filed for an initial public offering, setting it up for what may be the most highly anticipated market debut in recent history and a massive payday for early investors.",
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"title": "Files Confidential IPO Draft as AI Giants Race Toward Public Marke...",
"url": "https://www.econotimes.com/OpenAI-Files-Confidential-IPO-Draft-as-AI-Giants-Race-Toward-Public-Markets-1743813",
"content": "OpenAI has confidentially submitted a draft S-1 registration statement to the U.S. Securities and Exchange Commission (SEC), taking a... Despite the filing, OpenAI emphasized that no final timeline has been established for its stock market debut. Management stated that...",
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"title": "OpenAI says it filed confidential IPO as it positions itself for AI arms race",
"url": "https://www.msn.com/en-us/technology/artificial-intelligence/openai-says-it-filed-confidential-ipo-as-it-positions-itself-for-ai-arms-race/ar-AA258X6O",
"content": "Going public will allow OpenAI, valued at $852 billion, to inject more cash into its business as the AI race quickens.",
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"title": "[비욘드 미토스③] 접근권 확보는 시작…먼저 미토스 활용한 기업이 보...",
"url": "https://www.ddaily.co.kr/page/view/2026060409252595830",
"content": "다만 이 스캔은 미토스 단독이 아니라 클로드 Opus 4.7, 오픈AI(OpenAI)의 GPT-5.5-Cyber를 함께 사용한 결과다. 팔로알토 측은 모델마다 찾는 취약점이 달라... 팔로알토는 미토스 단독이 아니라 클로드 Opus 4.7, 오픈AI(OpenAI)의 GPT-5.5-Cyber를 함께 사용한 결과라는 점을 분명히 했다. 팔로알토 측은 모델마다 찾는...",
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{
"title": "Read Sam Altman's plan for OpenAI as it enters its 'third phase'",
"url": "https://www.businessinsider.com/sam-altman-openai-third-phase-plan-2026-6",
"content": "OpenAI's Sam Altman outlines AI's third phase, focusing on abundance, safety, and global collaboration as the company plans an IPO.",
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"title": "오픈AI, 비공개 IPO 전격 신청…월가에 ‘초대형 AI 데뷔’ 예고",
"url": "https://www.g-enews.com/view.php?ud=202606090632244798e250e8e188_1",
"content": "챗GPT 개발사 오픈AI(OpenAI)가 미국 증권거래위원회(SEC)에 비공개로 기업공개(IPO) 신청서를 제출하며 월가 상장을 위한 본격적인 페달을 밟았다. 경쟁사인 앤트로픽(Anthropic)이 IPO를 신청한 지 일주일 만이자, 일론 머스크의 스페이스X 상장을 앞두고 나온 전격적인 행보다. 8일(현지시각) 미국 경제방송...",
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"title": "OpenAI Just Confidentially Filed Its S-1, Taking the First Official Step Toward a Massive IPO",
"url": "https://www.inc.com/amaya-nichole/open-ai-just-confidentially-filed-its-s-1-first-official-step-toward-ipo/91357961",
"content": "Today, OpenAI announced it had confidentially submitted a Form S-1 to the SEC, the first official sign that the company is moving toward a public listing. \"We have not decided on timing yet; it may be a while because there are things we want to do that are likely easier as a private company,",
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"title": "Trump Eyes a Piece of A.I.",
"url": "https://www.nytimes.com/2026/06/08/business/dealbook/trump-ai-stakes.html?partner=naver",
"content": "The comments came after a report by the publication NOTUS, citing unnamed sources, that Sam Altman of OpenAI had recently discussed such... And OpenAI called for civilian agencies to lead the government reviews of A.I. models. (Altman made the rounds in Washington last week....",
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"title": "OpenAI Files to Go Public as A.I. Companies Rush to Wall St.",
"url": "https://www.nytimes.com/2026/06/08/technology/openai-ipo.html",
"content": "The company hopes to raise billions in a highly anticipated public offering that could unlock a new generation of tech industry wealth.",
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{
"title": "They Spent Years on a Math Problem. Then They Were Scooped by A.I.",
"url": "https://www.nytimes.com/2026/06/08/science/ai-scoop-young-mathematicians.html?partner=naver",
"content": "In late May, OpenAI announced that one of its models had disproved an 80-year-old theorem that was long assumed true by mathematicians; Google DeepMind followed up with solutions to nine more. Then, just days after OpenAI published its result, a team of mathematicians used...",
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"title": "OpenAI plans to go public, intensifying investment race with Anthropic",
"url": "https://www.msn.com/en-us/news/technology/openai-plans-to-go-public-intensifying-investment-race-with-anthropic/ar-AA258HZx",
"content": "The company behind ChatGPT filed its plans one week after Anthropic did the same.",
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"title": "\"검색에서 대화로\" 무신사, 챗GPT 전용 앱 출시",
"url": "https://www.newsis.com/view/NISX20260609_0003661389",
"content": "무신사는 오픈AI(OpenAI)의 대화형 AI 플랫폼 서비스인 '챗GPT'에 무신사 앱을 선보인다고 9일 밝혔다. 무신사는 지난 3월 카카오와 손잡고 카카오톡 내에서 AI가 스타일을 추천해 주는 '챗지피티 포 카카오' 서비스를 선보인 바 있다. 이번 서비스 출시로 오픈AI 자체 글로벌 플랫폼으로 서비스 접점을 넓히게...",
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"title": "OpenAI hardware leader resigns after deal with Pentagon",
"url": "https://www.reuters.com/business/openai-robotics-head-resigns-after-deal-with-pentagon-2026-03-07/",
"content": "Caitlin Kalinowski cited concerns about surveillance of Americans without judicial oversight and \"lethal autonomy without human authorization.\"",
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"title": "Oracle denies report on OpenAI data center delays",
"url": "https://www.reuters.com/technology/oracle-pushes-back-several-data-centers-openai-2028-2027-bloomberg-news-reports-2025-12-12/",
"content": "Oracle denied on Friday a media report that it was delaying OpenAI-related data centers, following investor worries over its debt-fueled AI infrastructure buildout.",
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"title": "OpenAI backs startup aiming to block AI-enabled bioweapons",
"url": "https://www.reuters.com/technology/openai-backs-startup-aiming-block-ai-enabled-bioweapons-2025-11-13/",
"content": "ChatGPT maker OpenAI on Thursday said it will invest in a startup focused on blocking bad actors from creating biological weapons powered by artificial intelligence.",
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"title": "OpenAI appeals data preservation order in NYT copyright case",
"url": "https://www.reuters.com/business/media-telecom/openai-appeal-new-york-times-suit-demand-asking-not-delete-any-user-chats-2025-06-06/",
"content": "OpenAI is appealing an order in a copyright case brought by the New York Times that requires it to preserve ChatGPT output data indefinitely, arguing that the order conflicts with privacy commitments it has made with users.",
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"title": "OpenAI launches new AI tool to facilitate research tasks",
"url": "https://www.reuters.com/technology/openai-launches-new-ai-tool-facilitate-research-tasks-2025-02-03/",
"content": "Generative artificial intelligence heavyweight OpenAI launched a new AI tool on Sunday called \"deep research\", which it said conducts multi-step research on the internet for complex tasks.",
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"title": "Musk's xAI accuses rival OpenAI of stealing trade secrets",
"url": "https://www.reuters.com/sustainability/boards-policy-regulation/musks-xai-accuses-rival-openai-stealing-trade-secrets-2025-09-25/",
"content": "Elon Musk's artificial intelligence startup xAI has sued rival OpenAI in California federal court for allegedly stealing its trade secrets to gain an unfair advantage in the race to develop AI technology.",
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"title": "Oracle, CoreWeave lead AI selloff on OpenAI growth concerns",
"url": "https://www.reuters.com/business/media-telecom/oracle-coreweave-shares-drop-after-report-flags-openai-growth-worries-2026-04-28/",
"content": "Shares of artificial intelligence-related firms ​dropped on Tuesday after the Wall Street Journal reported that OpenAI had missed its goals for new users and revenue in ‌recent months, raising concerns over the ChatGPT creator's growth prospects.",
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"title": "OpenAI names members to its nonprofit commission",
"url": "https://www.reuters.com/technology/openai-names-members-its-nonprofit-commission-2025-04-15/",
"content": "ChatGPT maker OpenAI named members to its newly formed nonprofit commission on Tuesday, which will guide the company's philanthropic efforts.",
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"title": "OpenAI plans desktop 'superapp' to streamline user experience",
"url": "https://www.reuters.com/technology/openai-plans-desktop-superapp-simplify-user-experience-wsj-reports-2026-03-19/",
"content": "OpenAI on Thursday confirmed a Wall ​Street Journal report that it plans ‌to fold its ChatGPT app, coding platform Codex and browser into a single desktop \"superapp\" to simplify user ​experience.",
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"title": "OpenAI confidentially files for IPO, prepping Wall Street for mega AI debut",
"url": "https://www.cnbc.com/2026/06/08/openai-confidentially-files-for-ipo-prepping-wall-street-for-ai-debut.html",
"content": "OpenAI's confidential filing lands days before SpaceX is set to go public and a week after Anthropic announced its confidential disclosure with the SEC.",
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{
"title": "Have a Thorny Medical Question? Your Doctor May Be Using A.I. for That.",
"url": "https://www.nytimes.com/2026/06/08/business/ai-medicine-doctors.html?partner=naver",
"content": "And last month, OpenAI introduced ChatGPT for Clinicians. OpenEvidence became a front-runner in part because it exclusively used medical... like OpenAI and Google, which are trained on data across the open internet. OpenEvidence, founded in 2022, took a more focused...",
"engine": "naver news",
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"title": "OpenAI files paperwork for initial public offering",
"url": "https://www.msn.com/en-us/money/general/openai-files-paperwork-for-initial-public-offering/ar-AA2588PR",
"content": "OpenAI confidentially filed for an initial public offering Monday, becoming the third in a well-known trio of tech companies to do so recently.",
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"title": "OpenAI signals potential stock market debut while weighing private-company advantages",
"url": "https://www.msn.com/en-us/money/topstocks/openai-signals-potential-stock-market-debut-while-weighing-private-company-advantages/ar-AA258vmu",
"content": "OpenAI submitted a confidential S-1 filing with the SEC, signaling the AI company is preparing for a potential initial public offering in the future.",
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"title": "ChatGPT maker OpenAI files for IPO looking to capitalize on investor appetite for AI boom",
"url": "https://www.aol.com/news/chatgpt-maker-openai-files-ipo-220259251.html",
"content": "OpenAI has been scrambling to polish up its finances and pave a clear path to becoming profitable ahead of its planned IPO.",
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"title": "OpenAI Expands ChatGPT Lockdown Mode to Millions of Eligible Users",
"url": "https://www.techrepublic.com/article/news-openai-expands-chatgpt-lockdown-mode-millions-users/",
"content": "OpenAI is expanding ChatGPT Lockdown Mode to more users, limiting web-connected tools to reduce the risks of prompt injection and data leakage.",
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"title": "ChatGPT-maker OpenAI files to go public",
"url": "https://www.washingtonpost.com/technology/2026/06/08/openai-files-list-stock-market-expected-trillion-dollar-debut/",
"content": "The artificial intelligence company is expected to be the third trillion-dollar stock market debut this year, after Elon Musk's SpaceX and AI rival Anthropic.",
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"title": "Behind SoftBank's Multi-Billion Dollar Bet On OpenAI",
"url": "https://www.forbes.com/sites/anuraghunathan/2026/06/08/behind-softbanks-multi-billion-dollar-bet-on-openai/",
"content": "After a four year gap, billionaire Masayoshi Son reclaims the title of Japan's richest person as his SoftBank Group's shares more than tripled, boosting his net worth to a record $80 billion.",
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"title": "The Trump administration might take an equity stake in OpenAI",
"url": "https://www.msn.com/en-us/money/general/the-trump-administration-might-take-an-equity-stake-in-openai/ar-AA24ZMiX",
"content": "President Donald Trump said he's discussing deals \"where the American people can benefit from the success of AI.\"",
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"title": "OpenAI seeks to increase global AI use in everyday life",
"url": "https://www.reuters.com/business/davos/openai-seeks-increase-global-ai-use-everyday-life-2026-01-21/",
"content": "OpenAI is expanding its efforts to convince global governments to build more data centers and encourage greater usage of artificial intelligence in areas such as education, health and disaster preparedness.",
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"title": "SoftBank secures $40 billion loan to boost OpenAI investments",
"url": "https://www.reuters.com/business/media-telecom/softbank-secures-40-billion-loan-fund-further-openai-investment-2026-03-27/",
"content": "SoftBank Group said on Friday it has secured a $40 ​billion bridge loan to bolster investments in ChatGPT-maker OpenAI and for general corporate ‌purposes, marking another significant step in its artificial intelligence strategy.",
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"title": "OpenAI and the White House have competing visions for regulating artificial intelligence",
"url": "https://mashable.com/tech/openai-clashes-with-washington-over-ai-regulation",
"content": "In a recently released policy paper entitled \"Democratic Governance of Frontier AI: A blueprint for a federal framework,\" OpenAI put forward its vision of AI regulation, built around five core priorities: promoting transparency,",
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"title": "OpenAI Readies 'Superapp' Pivot Ahead of Planned IPO, FT Reports",
"url": "https://www.bloomberg.com/news/articles/2026-06-07/openai-plans-superapp-pivot-ahead-of-planned-ipo-ft-reports",
"content": "OpenAI is readying a major platform overhaul ahead of its highly anticipated IPO later this year to better compete with rivals such as Anthropic, the Financial Times reported.",
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"title": "WALL STREET'S NEXT AI BET? OpenAI Files for IPO as AI Race Enters New Phase",
"url": "https://www.moneycontrol.com/news/videos/business/ipo/wall-street-s-next-ai-bet-openai-files-for-ipo-as-ai-race-enters-new-phase-13944540.html",
"content": "OpenAI has confidentially filed for a U.S. IPO, marking a major milestone in the AI boom. The ChatGPT maker could target a valuation of up to $1 trillion, joining Anthropic and SpaceX in a wave of blockbuster listings that could reshape global markets.",
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"title": "~rmrf/chi",
"url": "https://sr.ht/projects/~rmrf/chi/",
"content": "A Reminders app that combines ChatGPT, weather and a simple interface perfect for power users into one, singular app. It is a GUI app built in Python. Note: you will need to provide both an OpenAI API key AND a weatherapi.com API key.",
"engine": "sourcehut",
"category": "it"
},
{
"title": "openai-api",
"url": "https://www.npmjs.com/package/openai-api",
"content": "A tiny client module for the openAI API",
"engine": "npm",
"category": "it"
},
{
"title": "343516704/openai",
"url": "https://hub.docker.com/r/343516704/openai",
"content": "openai application",
"engine": "docker hub",
"category": "it"
},
{
"title": "Claude-OpenAI",
"url": "https://gitlab.com/admin2977/Claude-OpenAI",
"content": "Claude OpenAI Agent Ai",
"engine": "gitlab",
"category": "it"
},
{
"title": "~yunzl/termux_using_openai",
"url": "https://sr.ht/projects/~yunzl/termux_using_openai/",
"content": "基于喵喵一键脚本修改，增加one-api部署",
"engine": "sourcehut",
"category": "it"
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{
"title": "openai-nodejs",
"url": "https://www.npmjs.com/package/openai-nodejs",
"content": "A non-official OpenAI API wrapper for node.",
"engine": "npm",
"category": "it"
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"title": "openai",
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"title": "openai",
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{
"title": "openai",
"url": "https://pkg.go.dev/github.com/tmc/langchaingo/llms/openai",
"content": "Package openai provides an interface to OpenAI's language models.",
"engine": "pkg.go.dev",
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},
{
"title": "NousResearch/hermes-agent",
"url": "https://github.com/NousResearch/hermes-agent",
"content": "Python / The agent that grows with you",
"engine": "github",
"category": "it"
},
{
"title": "Significant-Gravitas/AutoGPT",
"url": "https://github.com/Significant-Gravitas/AutoGPT",
"content": "Python / AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.",
"engine": "github",
"category": "it"
},
{
"title": "f/prompts.chat",
"url": "https://github.com/f/prompts.chat",
"content": "HTML / f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.",
"engine": "github",
"category": "it"
},
{
"title": "How to use Azure OpenAI as a pseudo DB",
"url": "https://superuser.com/q/1824019",
"content": "[azure] Tolure // is answered // score: -1",
"engine": "superuser",
"category": "it"
},
{
"title": "Azure OpenAI in Microsoft Foundry Models REST API reference - Microsoft Foundry",
"url": "https://learn.microsoft.com/en-us/azure/foundry/openai/reference",
"content": "Azure OpenAI in Microsoft Foundry Models REST API reference Summarize this article for me In this article This article provides details on the inference REST API endpoints for Azure OpenAI. API specs Managing and interacting with Azure OpenAI models and resources is divided across three primary API surfaces: Control plane Data plane - authoring.",
"engine": "microsoft learn",
"category": "it"
},
{
"title": "Google “We have no moat, and neither does OpenAI”",
"url": "https://news.ycombinator.com/item?id=35813322",
"content": "https://www.semianalysis.com/p/google-we-have-no-moat-and-neither",
"engine": "hackernews",
"category": "it"
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{
"title": "OpenSSL",
"url": "https://developer.mozilla.org/en-US/docs/Glossary/OpenSSL",
"content": "OpenSSL is an open-source implementation of TLS and SSL.",
"engine": "mdn",
"category": "it"
},
{
"title": "Problem on installing whisper on ubuntu 22.04",
"url": "https://askubuntu.com/q/1552708",
"content": "[22.04, python] Rakotondratsimba Mirado manjak // score: 1",
"engine": "askubuntu",
"category": "it"
},
{
"title": "Invalid client secrets file, and 'utf-8' codec can't decode byte 0xca in position 82: invalid continuation byte",
"url": "https://stackoverflow.com/q/76204613",
"content": "[python] Mustafa Al-Qayssei // score: 0",
"engine": "stackoverflow",
"category": "it"
},
{
"title": "How to chain two VPNs? (basically tunneling through another tunnel)",
"url": "https://superuser.com/q/1772589",
"content": "[windows-10, networking, wireless-networking, vpn, proxy] Soroush Borhan // score: 2",
"engine": "superuser",
"category": "it"
},
{
"title": "Data, privacy, and security for Foundry Models sold by Azure in Microsoft Foundry - Microsoft Foundry",
"url": "https://learn.microsoft.com/en-us/azure/foundry/responsible-ai/openai/data-privacy",
"content": "A 'model sold by Azure' is an AI model designated and deployed as such in Foundry, and includes Azure O... Foundry is an Azure service; Microsoft hosts the Models sold by Azure in Microsoft's Azure environment and Models sold by Azure do NOT interact with any services operated by providers of Models sold by Azure, for example, OpenAI (e.g..",
"engine": "microsoft learn",
"category": "it"
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"title": "Open models by OpenAI",
"url": "https://news.ycombinator.com/item?id=44800746",
"content": "https://openai.com/open-models/",
"engine": "hackernews",
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{
"title": "lzj233/openai",
"url": "https://hub.docker.com/r/lzj233/openai",
"content": "openai",
"engine": "docker hub",
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{
"title": "custom-connector-openai-example",
"url": "https://gitlab.com/TaQuangKhoi/custom-connector-openai-example",
"content": "",
"engine": "gitlab",
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{
"title": "openai-sdk",
"url": "https://www.npmjs.com/package/openai-sdk",
"content": "http://openai.weixin.qq.com,AI,智能对话",
"engine": "npm",
"category": "it"
},
{
"title": "rajeshgatty/openai",
"url": "https://hub.docker.com/r/rajeshgatty/openai",
"content": "Openai",
"engine": "docker hub",
"category": "it"
},
{
"title": "chatgpt-specimen-toolbox",
"url": "https://gitlab.com/infectsick/chatgpt-specimen-toolbox",
"content": "ChatGPT Session ↔ 9 种主流认证格式 N×N 双向互转（auth.json / Cockpit / CPA / Sub2API / 9router / AxonHub / Codex-Manager / Codex Auth / Raw）· 11 种来源自动识别 · Plus 多区域 / Team 工作区订阅长链一站生成（v2.4.0 Stripe init 三步法长链引擎，拿 pay.openai.com 可靠长链）· 油猴 UserScript + Chrome/Edge/Firefox MV3 扩展双发布 · 全程本地处理零上报 · Specimen 设计语言",
"engine": "gitlab",
"category": "it"
},
{
"title": "openai-api-node",
"url": "https://www.npmjs.com/package/openai-api-node",
"content": "A NodeJS client for the OpenAI API",
"engine": "npm",
"category": "it"
},
{
"title": "tejasukhavasi/openai",
"url": "https://hub.docker.com/r/tejasukhavasi/openai",
"content": "Custom images to run openai tools",
"engine": "docker hub",
"category": "it"
},
{
"title": "Mr-GPT-deletion_scheduled-82968240",
"url": "https://gitlab.com/mr_mik/Mr-GPT-deletion_scheduled-82968240",
"content": "A discord implementation of openai's gpt model",
"engine": "gitlab",
"category": "it"
},
{
"title": "Window: open() method",
"url": "https://developer.mozilla.org/en-US/docs/Web/API/Window/open",
"content": "The open() method of the Window interface loads a specified resource into a new or existing browsing context (that is, a tab, a window, or an iframe) under a specified name.",
"engine": "mdn",
"category": "it"
},
{
"title": "Cannot get cuda toolkit or nvidia drivers on my dual booted ubunutu 22.04 machine",
"url": "https://askubuntu.com/q/1523965",
"content": "[drivers, dual-boot, nvidia, 22.04, cuda] Thundrgod N1 // score: 0",
"engine": "askubuntu",
"category": "it"
},
{
"title": "How do teams monitor breaking changes across third-party SaaS APIs?",
"url": "https://stackoverflow.com/q/79950962",
"content": "[monitoring, saas] Siarhei K // score: 0",
"engine": "stackoverflow",
"category": "it"
},
{
"title": "How to Dynamically Create and Populate Word Document Templates with Form Data?",
"url": "https://superuser.com/q/1817556",
"content": "[microsoft-word, javascript, forms, document-automation] Lucifer // score: 1",
"engine": "superuser",
"category": "it"
},
{
"title": "Microsoft Agent Framework Agent Types - Microsoft Foundry",
"url": "https://learn.microsoft.com/en-us/agent-framework/agents/",
"content": "...osoft.Agents.AI.Foundry https://ai-foundry-.services.ai.azure.com/api/projects/ai-project- Azure OpenAI 1 Azure OpenAI SDK 2 Azure.AI.OpenAI https://.openai.azure.com/ Azure OpenAI 1 OpenAI SDK OpenAI https://.openai.azure.com/openai/v1/ OpenAI OpenAI SDK OpenAI No url required Microsoft Foundry Anthropic Anthropic Foundry SDK Anthropic.Foundry.",
"engine": "microsoft learn",
"category": "it"
},
{
"title": "We have reached an agreement in principle for Sam to return to OpenAI as CEO",
"url": "https://news.ycombinator.com/item?id=38375239",
"content": "https://twitter.com/openai/status/1727206187077370115",
"engine": "hackernews",
"category": "it"
},
{
"title": "Open source etiquette",
"url": "https://developer.mozilla.org/en-US/docs/MDN/Community/Open_source_etiquette",
"content": "If you've not worked on an open source project (OSP) before, it is a good idea to read this article before starting to contribute to MDN Web Docs and other open source projects. There are a few behaviors to adopt that will help you and the other project contributors feel valued and safe, and stay productive. This article won't teach you everything about contributing to open source; the aim is to cover foundational topics for taking part in open source communities.",
"engine": "mdn",
"category": "it"
},
{
"title": "Bash: programmatically output text to cursor?",
"url": "https://askubuntu.com/q/1520426",
"content": "[bash, xclip] Gridzbi Spudvetch // is answered // score: 1",
"engine": "askubuntu",
"category": "it"
},
{
"title": "API key pasted to n8n",
"url": "https://stackoverflow.com/q/79941132",
"content": "[n8n] Eric Lin // score: 0",
"engine": "stackoverflow",
"category": "it"
}
]
},
{
"label": "science",
"params": {
"q": "OpenAI",
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"categories": "science"
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"status_code": 200,
"elapsed_ms": 4961.8,
"result_count": 58,
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"results": [
{
"title": "Learning Dexterous In-Hand Manipulation",
"url": "http://arxiv.org/abs/1808.00177v5",
"content": "We use reinforcement learning (RL) to learn dexterous in-hand manipulation policies which can perform vision-based object reorientation on a physical Shadow Dexterous Hand. The training is performed in a simulated environment in which we randomize many of the physical properties of the system like friction coefficients and an object's appearance. Our policies transfer to the physical robot despite being trained entirely in simulation. Our method does not rely on any human demonstrations, but many behaviors found in human manipulation emerge naturally, including finger gaiting, multi-finger coordination, and the controlled use of gravity. Our results were obtained using the same distributed RL system that was used to train OpenAI Five. We also include a video of our results: https://youtu.be/jwSbzNHGflM",
"engine": "arxiv",
"category": "science"
},
{
"title": "OpenAI Gym",
"url": "http://arxiv.org/abs/1606.01540",
"content": "OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection of benchmark problems that expose a common interface, and a website where people can share their results and compare the performance of algorithms. This whitepaper discusses the components of OpenAI Gym and the design decisions that went into the software.",
"engine": "openalex",
"category": "science"
},
{
"title": "Diagnosis, care pathways, and Complementary and Alternative Medicine (CAM) use among digestive cancer patients in Benin: a qualitative study.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42260244",
"content": "In Benin, patients with digestive cancers face multiple challenges, including diagnostic delays and limited access to care. In this context, the use of complementary and alternative medicine (CAM) is common. This study aimed to describe the diagnostic and care pathways of patients with digestive cancers in Benin, and their experiences with both complementary and alternative medicine (CAM) and conventional treatments.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Getting Started with Azure OpenAI (Introduction to Azure AI and OpenAI)",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8_1",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "OpenAI o1 System Card",
"url": "http://arxiv.org/abs/2412.16720v2",
"content": "The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought. These advanced reasoning capabilities provide new avenues for improving the safety and robustness of our models. In particular, our models can reason about our safety policies in context when responding to potentially unsafe prompts, through deliberative alignment. This leads to state-of-the-art performance on certain benchmarks for risks such as generating illicit advice, choosing stereotyped responses, and succumbing to known jailbreaks. Training models to incorporate a chain of thought before answering has the potential to unlock substantial benefits, while also increasing potential risks that stem from heightened intelligence. Our results underscore the need for building robust alignment methods, extensively stress-testing their efficacy, and maintaining meticulous risk management protocols. This report outlines the safety work carried out for the OpenAI o1 and OpenAI o1-mini models, including safety evaluations, external red teaming, and Preparedness Framework evaluations.",
"engine": "arxiv",
"category": "science"
},
{
"title": "OpenAI Gym",
"url": "https://www.arxiv.org/pdf/1606.01540",
"content": "OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection of benchmark problems that expose a common interface, and a website where people can share their results and compare the performance of algorithms. This whitepaper discusses the components of OpenAI Gym and the design decisions that went into the software.",
"engine": "openalex",
"category": "science"
},
{
"title": "Risk and liability in the deployment of AI systems for surgery: a SAGES white paper.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42260175",
"content": "Artificial intelligence (AI) is increasingly utilized in surgical care for decision support, operative planning, intraoperative guidance, and autonomous functions. While these systems can enhance efficiency and clinical performance, they also introduce risks related to technology, human factors, legal issues, and ethics. Current regulatory and legal frameworks are not fully equipped to address the challenges of AI-assisted surgery.",
"engine": "pubmed",
"category": "science"
},
{
"title": "gym: Provides Access to the OpenAI Gym API",
"url": "https://CRAN.R-project.org/package=gym",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "OpenAI Codex CLI",
"url": "https://hub.researchgraph.org/openai-codex-cli/",
"content": "<jats:p>Introduction AI is changing the way we code by making it faster, easier, and more intuitive. One tool that puts this shift into action is the &lt;strong&gt; OpenAI Codex CLI &lt;/strong&gt; , a command-line interface powered by the same model driving GitHub Copilot. It acts like a coding assistant directly in your terminal.</jats:p>",
"engine": "crossref",
"category": "science"
},
{
"title": "A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education",
"url": "http://arxiv.org/abs/2410.21287v1",
"content": "As artificial intelligence (AI) continues to advance, it demonstrates capabilities comparable to human intelligence, with significant potential to transform education and workforce development. This study evaluates OpenAI o1-preview's ability to perform higher-order cognitive tasks across 14 dimensions, including critical thinking, systems thinking, computational thinking, design thinking, metacognition, data literacy, creative thinking, abstract reasoning, quantitative reasoning, logical reasoning, analogical reasoning, and scientific reasoning. We used validated instruments like the Ennis-Weir Critical Thinking Essay Test and the Biological Systems Thinking Test to compare the o1-preview's performance with human performance systematically. Our findings reveal that o1-preview outperforms humans in most categories, achieving 150% better results in systems thinking, computational thinking, data literacy, creative thinking, scientific reasoning, and abstract reasoning. However, compared to humans, it underperforms by around 25% in logical reasoning, critical thinking, and quantitative reasoning. In analogical reasoning, both o1-preview and humans achieved perfect scores. Despite these strengths, the o1-preview shows limitations in abstract reasoning, where human psychology students outperform it, highlighting the continued importance of human oversight in tasks requiring high-level abstraction. These results have significant educational implications, suggesting a shift toward developing human skills that complement AI, such as creativity, abstract reasoning, and critical thinking. This study emphasizes the transformative potential of AI in education and calls for a recalibration of educational goals, teaching methods, and curricula to align with an AI-driven world.",
"engine": "arxiv",
"category": "science"
},
{
"title": "The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming",
"url": "https://doi.org/10.1145/3511861.3511863",
"content": "Recent advances in artificial intelligence have been driven by an exponential growth in digitised data. Natural language processing, in particular, has been transformed by machine learning models such as OpenAI’s GPT-3 which generates human-like text so realistic that its developers have warned of the dangers of its misuse. In recent months OpenAI released Codex, a new deep learning model trained on Python code from more than 50 million GitHub repositories. Provided with a natural language description of a programming problem as input, Codex generates solution code as output. It can also explain (in English) input code, translate code between programming languages, and more. In this work, we explore how Codex performs on typical introductory programming problems. We report its performance on real questions taken from introductory programming exams and compare it to results from students who took these same exams under normal conditions, demonstrating that Codex outscores most students. We then explore how Codex handles subtle variations in problem wording using several published variants of the well-known “Rainfall Problem” along with one unpublished variant we have used in our teaching. We find the model passes many test cases for all variants. We also explore how much variation there is in the Codex generated solutions, observing that an identical input prompt frequently leads to very different solutions in terms of algorithmic approach and code length. Finally, we discuss the implications that such technology will have for computing education as it continues to evolve, including both challenges and opportunities.",
"engine": "openalex",
"category": "science"
},
{
"title": "Hybrid carbon matrices enable the suppression of polysulfide shuttle effect in Li-S batteries.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42260086",
"content": "Lithium-sulfur (Li-S) batteries offer high theoretical energy density but face critical challenges due to sulfur's poor conductivity and the polysulfide shuttle effect. Here we report a novel cathode design utilizing a hybrid carbon matrix derived from buckwheat biomass and single-walled carbon nanotubes (SWCNT) to overcome these issues. The buckwheat-derived hard carbon (HC), obtained at 1000 °C, provides hierarchical porosity to anchor polysulfides and buffer sulfur expansion, while SWCNT (optimized at 6%) creates a conductive network. As a result, S@SP/HC/SWCNT cathode delivers an initial discharge capacity of ~ 1250 mAh g",
"engine": "pubmed",
"category": "science"
},
{
"title": "Getting Started with Azure OpenAI (Azure .NET SDK for Azure OpenAI and AI Services)",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8_3",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "Dota 2 with Large Scale Deep Reinforcement Learning",
"url": "http://arxiv.org/abs/1912.06680v1",
"content": "On April 13th, 2019, OpenAI Five became the first AI system to defeat the world champions at an esports game. The game of Dota 2 presents novel challenges for AI systems such as long time horizons, imperfect information, and complex, continuous state-action spaces, all challenges which will become increasingly central to more capable AI systems. OpenAI Five leveraged existing reinforcement learning techniques, scaled to learn from batches of approximately 2 million frames every 2 seconds. We developed a distributed training system and tools for continual training which allowed us to train OpenAI Five for 10 months. By defeating the Dota 2 world champion (Team OG), OpenAI Five demonstrates that self-play reinforcement learning can achieve superhuman performance on a difficult task.",
"engine": "arxiv",
"category": "science"
},
{
"title": "OpenAI ChatGPT Generated Literature Review: Digital Twin in Healthcare",
"url": "https://doi.org/10.2139/ssrn.4308687",
"content": "",
"engine": "openalex",
"category": "science"
},
{
"title": "Efficacy and Safety Profile of a Triple Single-Pill Combination of Valsartan/Amlodipine/Chlorthalidone in Patients with Uncontrolled Hypertension.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42259717",
"content": "This randomized, double-blind, multicenter Phase III study evaluated the efficacy and safety profile of a single-pill triple combination of valsartan/amlodipine/chlorthalidone (KDF1901, Valdipine Plus) compared with a dual combination of valsartan/amlodipine (KDF1901-R) in patients with essential hypertension.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Getting Started with Azure OpenAI",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "OpenAI Codex App",
"url": "https://blog.stephenturner.us/p/openai-codex-app-qqman",
"content": "<jats:p>Vibe-updating my old qqman R package to ggplot2 with plan+execute.</jats:p>",
"engine": "crossref",
"category": "science"
},
{
"title": "Competitive Programming with Large Reasoning Models",
"url": "http://arxiv.org/abs/2502.06807v2",
"content": "We show that reinforcement learning applied to large language models (LLMs) significantly boosts performance on complex coding and reasoning tasks. Additionally, we compare two general-purpose reasoning models - OpenAI o1 and an early checkpoint of o3 - with a domain-specific system, o1-ioi, which uses hand-engineered inference strategies designed for competing in the 2024 International Olympiad in Informatics (IOI). We competed live at IOI 2024 with o1-ioi and, using hand-crafted test-time strategies, placed in the 49th percentile. Under relaxed competition constraints, o1-ioi achieved a gold medal. However, when evaluating later models such as o3, we find that o3 achieves gold without hand-crafted domain-specific strategies or relaxed constraints. Our findings show that although specialized pipelines such as o1-ioi yield solid improvements, the scaled-up, general-purpose o3 model surpasses those results without relying on hand-crafted inference heuristics. Notably, o3 achieves a gold medal at the 2024 IOI and obtains a Codeforces rating on par with elite human competitors. Overall, these results indicate that scaling general-purpose reinforcement learning, rather than relying on domain-specific techniques, offers a robust path toward state-of-the-art AI in reasoning domains, such as competitive programming.",
"engine": "arxiv",
"category": "science"
},
{
"title": "ns-3 meets OpenAI Gym",
"url": "https://doi.org/10.1145/3345768.3355908",
"content": "Recently, we have seen a boom of attempts to improve the operation of networking protocols using machine learning techniques. The proposed reinforcement learning (RL) based control solutions very often overtake traditionally designed ones in terms of performance and efficiency. However, in order to reach such a superb level, an RL control agent requires a lot of interactions with an environment to learn the best policies. Similarly, the recent advancements in image recognition area were enabled by the rise of large labeled datasets (e.g. ImageNet). This paper presents the ns3-gym - the first framework for RL research in networking. It is based on OpenAI Gym, a toolkit for RL research and ns-3 network simulator. Specifically, it allows representing an ns-3 simulation as an environment in Gym framework and exposing state and control knobs of entities from the simulation for the agent's learning purposes. Our framework is generic and can be used in various networking problems. Here, we present an illustrative example from the cognitive radio area, where a wireless node learns the channel access pattern of a periodic interferer in order to avoid collisions with it. The toolkit is provided to the community as open-source under a GPL license.",
"engine": "openalex",
"category": "science"
},
{
"title": "Lung Complications after Allogeneic Hematopoietic Cell Transplant and Outcomes: Implications Beyond Bronchiolitis Obliterans Syndrome.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42259420",
"content": "Lung chronic graft-versus-host disease (cGVHD) after allogeneic hematopoietic cell transplantation (HCT) comprises heterogeneous pulmonary phenotypes known as lung complications after transplantation (LCAT). While bronchiolitis obliterans syndrome (BOS) is well recognized and is associated with poor survival, restrictive phenotypes-including HCT-associated organizing pneumonia (HCT-OP) and truncal sclerosis (TS)- remain poorly defined. Prior studies often grouped restrictive phenotypes, potentially obscuring phenotype-specific risk profiles and introducing survival bias by not taking into account the variable timing of LCAT onset. Direct comparison between specific LCAT phenotypes and patients with cGVHD without lung involvement is limited, leaving uncertainty regarding the relative prognostic impact of individual LCAT phenotypes.",
"engine": "pubmed",
"category": "science"
},
{
"title": "openaiRtools: R Client for the 'OpenAI' API",
"url": "https://CRAN.R-project.org/package=openaiRtools",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "OpenAI Gym",
"url": "http://arxiv.org/abs/1606.01540v1",
"content": "OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection of benchmark problems that expose a common interface, and a website where people can share their results and compare the performance of algorithms. This whitepaper discusses the components of OpenAI Gym and the design decisions that went into the software.",
"engine": "arxiv",
"category": "science"
},
{
"title": "Artificial intelligence (AI) technology in OpenAI ChatGPT application: A review of ChatGPT in writing English essay",
"url": "https://doi.org/10.15294/elt.v12i1.64069",
"content": "ChatGPT is a product of AI that is currently being widely discussed on Twitter. This research reviews how ChatGPT writes English essays. This research is descriptive qualitative. The analysis shows that we can access ChatGPT on openai.com or chat.openai.com on the browser. If we do not have an account, we register via email, Google, or Microsoft account. After login, enter a question or statement in the conversation column provided. Send it and ChatGPT will respond and the answer appear quickly. The researcher tries ChatGPT “Can you help me in doing my English assignment?\", and the ChatBot replies \"Of course! I'd be happy to help you with your English assignment. What do you need help with? Do you have a specific question or task that you're working on, or is there a broader topic that you'd like help with? It would be helpful to have some more information so that I can better understand how I can assist you\". Based on several tries, ChatGPT can answer all questions on various topics such as English essays including a descriptive text about Solo and My Family, recount text about personal experience and unforgettable moments, resolution in 2023, and future career. ChatGPT considers the event orders and writing order, including using main, explanatory sentences, and a conclusion. It uses two voices both active and passive voice. Besides, it considers tenses use related to the given topic essay. However, from examples of English essays produced by ChatGPT, it certainly requires further research to find out that the essay results are grammatically accurate.",
"engine": "openalex",
"category": "science"
},
{
"title": "Simulated Reasoning and Self-Verification for Psychiatric Diagnosis in Generalist Large Language Models: Comparative Evaluation.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42258613",
"content": "Large language models (LLMs) and, more recently, large reasoning models (LRMs) have rapidly garnered significant interest for application in psychiatry and behavioral health. However, recent studies have identified significant shortcomings and potential risks in the performance of LLM-based systems, complicating their application to psychiatric diagnosis. Two promising approaches to addressing these challenges and improving the efficacy of these models are simulated reasoning (SR) and self-verification (SV), in which additional \"reasoning tokens\" are used to guide model output, either during or after inference.",
"engine": "pubmed",
"category": "science"
},
{
"title": "An Empirical Study of OpenAI API Discussions on Stack Overflow",
"url": "http://arxiv.org/abs/2505.04084v1",
"content": "The rapid advancement of large language models (LLMs), represented by OpenAI's GPT series, has significantly impacted various domains such as natural language processing, software development, education, healthcare, finance, and scientific research. However, OpenAI APIs introduce unique challenges that differ from traditional APIs, such as the complexities of prompt engineering, token-based cost management, non-deterministic outputs, and operation as black boxes. To the best of our knowledge, the challenges developers encounter when using OpenAI APIs have not been explored in previous empirical studies. To fill this gap, we conduct the first comprehensive empirical study by analyzing 2,874 OpenAI API-related discussions from the popular Q&A forum Stack Overflow. We first examine the popularity and difficulty of these posts. After manually categorizing them into nine OpenAI API-related categories, we identify specific challenges associated with each category through topic modeling analysis. Based on our empirical findings, we finally propose actionable implications for developers, LLM vendors, and researchers.",
"engine": "arxiv",
"category": "science"
},
{
"title": "Extending the OpenAI Gym for robotics: a toolkit for reinforcement learning using ROS and Gazebo",
"url": "http://arxiv.org/abs/1608.05742",
"content": "This paper presents an extension of the OpenAI Gym for robotics using the Robot Operating System (ROS) and the Gazebo simulator. The content discusses the software architecture proposed and the results obtained by using two Reinforcement Learning techniques: Q-Learning and Sarsa. Ultimately, the output of this work presents a benchmarking system for robotics that allows different techniques and algorithms to be compared using the same virtual conditions.",
"engine": "openalex",
"category": "science"
},
{
"title": "Large Language Model Chatbot Conversations vs Public Health Materials and Parental HPV Vaccination Intentions: A Randomized Clinical Trial.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42258213",
"content": "Health care systems are increasingly considering large language model (LLM)-based chatbots for vaccine communication, but evidence that they improve durable, behaviorally relevant outcomes beyond existing health materials is limited.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Getting Started with Azure OpenAI (Introduction to Assistants)",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8_5",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "ORRB -- OpenAI Remote Rendering Backend",
"url": "http://arxiv.org/abs/1906.11633v1",
"content": "We present the OpenAI Remote Rendering Backend (ORRB), a system that allows fast and customizable rendering of robotics environments. It is based on the Unity3d game engine and interfaces with the MuJoCo physics simulation library. ORRB was designed with visual domain randomization in mind. It is optimized for cloud deployment and high throughput operation. We are releasing it to the public under a liberal MIT license: https://github.com/openai/orrb .",
"engine": "arxiv",
"category": "science"
},
{
"title": "A Study on the Utilization of OpenAI ChatGPT as a Second Language Learning Tool",
"url": "https://doi.org/10.33851/jmis.2023.10.1.79",
"content": "In November 2022, ChatGPT was introduced and caused a sensation, gathering 100 million users only within two months. ChatGPT’s capability of generating high-quality sentences demonstrated potential to be applied in a wide range of fields. In this paper, we explore the utilization of ChatGPT as a second language learning tool and scrutinize its suitability. Specifically, we analyzed technical aspects of ChatGPT including its principles, history, and features. We then assessed its ability from two different perspectives: designing course contents and teaching these contents based on Task-Based Language Teaching (TBLT) method. Firstly, we built up a Korean ESL learner persona who is an intermediate level and directed ChatGPT to construct a course for business English writing. Second, we asked ChatGPT to teach business English writing by TBLT method. Although there were areas for improvement, the results were promising, indicating that ChatGPT was able to execute given prompts to act as a language learning tool. By highlighting opportunities and concerns of ChatGPT in the language learning context, this paper implied its potential to create enhanced learning experience by facilitating a supportive learning environment. Further research is expected to investigate its effectiveness in diverse contexts and purposes.",
"engine": "openalex",
"category": "science"
},
{
"title": "Divergent modes of episodic organization underlie whether emotional learning enhances memory across event boundaries.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42258125",
"content": "Episodic memory organizes continuous experience into discrete events, often limiting integration across temporal gaps. Emotionally salient experiences, such as learning about threats, may nevertheless enhance memory for motivationally relevant information across nominal event boundaries. Yet evidence for such cross-boundary modulation is mixed, suggesting that emotional learning may not exert a uniform effect on episodic memory across individuals. Here, we examined whether this heterogeneity reflects a mixture of divergent tendencies in how individuals structure their experience in memory - by temporal boundaries or by emotional relevance. Young adults (N = 285) incidentally encoded neutral images from two categories (animals, tools) across three temporally separated phases: pre-conditioning, conditioning, and post-conditioning. During conditioning, one category was partially reinforced with mild electric shocks to establish a category-level threat association. Memory was tested 24 h later using a surprise old-new recognition task. Although no reliable cross-phase enhancement was evident at the group level, data-driven individual-level analyses revealed two distinct patterns of episodic memory modulation. One pattern showed declining memory across phases, with emotional effects confined to shock-predictive items encoded during conditioning. The other showed memory structured around the emotional learning episode, with category-selective prioritization extending into the post-conditioning phase. These findings suggest that enhanced memory for subsequent threat-relevant information emerges specifically in individuals for whom the emotional learning episode, rather than nominal temporal structure, becomes the primary anchor of memory organization.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Getting Started with Azure OpenAI (.NET SDK and AI Studio)",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8_4",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "MDP environments for the OpenAI Gym",
"url": "http://arxiv.org/abs/1709.09069v1",
"content": "The OpenAI Gym provides researchers and enthusiasts with simple to use environments for reinforcement learning. Even the simplest environment have a level of complexity that can obfuscate the inner workings of RL approaches and make debugging difficult. This whitepaper describes a Python framework that makes it very easy to create simple Markov-Decision-Process environments programmatically by specifying state transitions and rewards of deterministic and non-deterministic MDPs in a domain-specific language in Python. It then presents results and visualizations created with this MDP framework.",
"engine": "arxiv",
"category": "science"
},
{
"title": "Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports",
"url": "https://doi.org/10.1016/j.clinimag.2023.06.008",
"content": "",
"engine": "openalex",
"category": "science"
},
{
"title": "Drug-associated cytokine release syndrome: a FAERS pharmacovigilance study with complementary transcriptomic analysis.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42257985",
"content": "Cytokine release syndrome (CRS) is a potentially severe systemic inflammatory toxicity associated with immunotherapies such as CAR-T cells, monoclonal antibodies, and immune checkpoint inhibitors. However, its real-world reporting landscape across different drug classes remains incompletely characterized. We conducted a pharmacovigilance study using the FDA Adverse Event Reporting System (FAERS) from 2004 to 2024, focusing on reports coded as CRS. Disproportionality analyses were used to identify drugs associated with disproportionate CRS reporting, and temporal patterns were assessed using time-to-onset analyses and Weibull modeling. Logistic regression was used to explore factors associated with reported fatal outcomes among CRS cases. To provide complementary mechanistic context, exploratory transcriptomic and immune infiltration analyses were performed using the GEO dataset GSE255323. A total of 12,941 CRS reports were linked to 58 drugs, with CAR-T therapies and bispecific antibodies representing the most frequently reported triggers. Female-predominant reporting patterns were more commonly observed with conventional treatments, whereas male-predominant reporting patterns were more often observed with newer immunotherapies. CRS was typically reported within 3 days of drug administration, with a modest but statistically significant earlier onset in women. Factors associated with reported fatal outcomes included male sex, hematologic malignancies, and exposure to specific agents such as tisagenlecleucel. Complementary exploratory transcriptomic analyses suggested immune dysregulation involving myeloid and T-cell-related pathways, and immune deconvolution analyses indicated a pro-inflammatory effector-dominant profile in CRS samples. This study characterizes the real-world reporting landscape of drug-associated CRS and highlights sex-specific reporting patterns, early-onset clinical trajectories, and factors associated with reported fatal outcomes in FAERS. Complementary exploratory transcriptomic analyses suggest potential involvement of myeloid and T-cell dysregulation in CRS, providing additional context for future mechanistic and clinical studies.",
"engine": "pubmed",
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},
{
"title": "Generative AI for Web Development (Alternative Models to OpenAI)",
"url": "https://link.springer.com/10.1007/979-8-8688-0885-2_7",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "Voices from the Frontier: A Comprehensive Analysis of the OpenAI Developer Forum",
"url": "http://arxiv.org/abs/2408.01687v1",
"content": "OpenAI's advanced large language models (LLMs) have revolutionized natural language processing and enabled developers to create innovative applications. As adoption grows, understanding the experiences and challenges of developers working with these technologies is crucial. This paper presents a comprehensive analysis of the OpenAI Developer Forum, focusing on (1) popularity trends and user engagement patterns, and (2) a taxonomy of challenges and concerns faced by developers. We first employ a quantitative analysis of the metadata from 29,576 forum topics, investigating temporal trends in topic creation, the popularity of topics across different categories, and user contributions at various trust levels. We then qualitatively analyze content from 9,301 recently active topics on developer concerns. From a sample of 886 topics, we construct a taxonomy of concerns in the OpenAI Developer Forum. Our findings uncover critical concerns raised by developers in creating AI-powered applications and offer targeted recommendations to address them. This work not only advances AI-assisted software engineering but also empowers developer communities to shape the responsible evolution and integration of AI technology in society.",
"engine": "arxiv",
"category": "science"
},
{
"title": "ns3-gym: Extending OpenAI Gym for Networking Research",
"url": "http://arxiv.org/abs/1810.03943",
"content": "OpenAI Gym is a toolkit for reinforcement learning (RL) research. It includes a large number of well-known problems that expose a common interface allowing to directly compare the performance results of different RL algorithms. Since many years, the ns-3 network simulation tool is the de-facto standard for academic and industry research into networking protocols and communications technology. Numerous scientific papers were written reporting results obtained using ns-3, and hundreds of models and modules were written and contributed to the ns-3 code base. Today as a major trend in network research we see the use of machine learning tools like RL. What is missing is the integration of a RL framework like OpenAI Gym into the network simulator ns-3. This paper presents the ns3-gym framework. First, we discuss design decisions that went into the software. Second, two illustrative examples implemented using ns3-gym are presented. Our software package is provided to the community as open source under a GPL license and hence can be easily extended.",
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"title": "Protective effects of dexpanthenol against diatrizoate-induced contrast nephropathy via the SIRT1-p53-Bcl-2/Bax pathway in rats.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42257981",
"content": "Contrast agents are widely used in medical imaging to improve tissue differentiation, but they can cause serious inflammatory responses, including contrast-induced nephropathy (CIN). Dexpanthenol (DEX) is known for its antioxidant, anti-inflammatory, and anti-apoptotic properties. This study aimed to investigate the potential protective effects of dexpanthenol in a rat model of diatrizoate-induced CIN. In this study, 32 Wistar albino rats were randomly divided into four groups: control, Urografin (URO; 10 mL/kg, intraperitoneal [i.p.]), URO + DEX (500 mg/kg, i.p. for 3 days), and DEX alone. Renal function markers (serum urea and creatinine), total oxidant status (TOS), total antioxidant status (TAS), and oxidative stress index (OSI) were measured. Histopathological evaluation and immunohistochemical analysis of tumor necrosis factor-alpha (TNF-α) and caspase-3 (Cas-3) were performed. Additionally, SIRT1, Bcl-2, Bax, and p53 mRNA expression levels were assessed. URO administration increased TOS and OSI values and caused significant renal histopathological damage. TNF-α and Cas-3 immunoreactivity, along with Bax and p53 gene expression, were significantly elevated, while Bcl-2 and SIRT1 expression was suppressed. DEX treatment provided partial improvement in these changes, contributed to the preservation of renal architecture, and was associated with improvements in biochemical and molecular parameters approaching those of the control levels. In conclusion, DEX may exert nephroprotective effects against CIN by reducing oxidative stress, inhibiting pro-inflammatory and apoptotic pathways, and increasing anti-apoptotic gene expression. These findings provide a preclinical basis supporting the idea that dexpanthenol is a promising candidate for further translational and clinical studies in contrast-induced renal injury.",
"engine": "pubmed",
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},
{
"title": "stt.api: 'OpenAI' Compatible Speech-to-Text API Client",
"url": "https://CRAN.R-project.org/package=stt.api",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "AI-based computer vision as an adjunct tool for CVS documentation in laparoscopic cholecystectomy.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42257949",
"content": "Despite widespread endorsement for Critical View of Safety (CVS) to prevent bile duct injury during laparoscopic cholecystectomy (LC), attainment remains low. Quality assurance is limited by inaccurate operative reports and absent visual documentation. This study evaluated a surgical artificial intelligence (AI) platform as an adjunct for CVS documentation, comparing its performance to narrative operative reports using expert video review as the reference-standard.",
"engine": "pubmed",
"category": "science"
},
{
"title": "A Case Study on the Financing of OpenAI",
"url": "https://www.hanspub.org/journal/paperinformation?paperid=137422",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "Early respiratory decline around diagnosis and short-term post-landmark outcomes in amyotrophic lateral sclerosis: a 6-month landmark cohort study.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42257902",
"content": "In amyotrophic lateral sclerosis (ALS), respiratory decisions rely on serial trends rather than a single value. We evaluated whether early respiratory decline around diagnosis provides prognostic information in a real-world landmark framework.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Applied Reinforcement Learning with Python (Custom OpenAI Reinforcement Learning Environments)",
"url": "http://link.springer.com/10.1007/978-1-4842-5127-0_5",
"content": "",
"engine": "crossref",
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{
"title": "Integrative frameworks for plastic biodegradation in insect-microbiome systems: mechanistic insights, emerging multi-omics and enzyme engineering perspectives.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42257753",
"content": "Plastic pollution remains a major global environmental challenge due to the persistence and recalcitrance of synthetic polymers, particularly polyolefins such as polyethylene and polypropylene. Conventional management strategies, including landfilling, incineration, and chemical recycling, are energy-intensive and often fail to achieve complete degradation. Biological approaches offer a promising alternative, yet microbial systems alone are frequently limited by low degradation efficiency, incomplete mineralization, and challenges in scalability. In this context, insect-microbiome systems have emerged as integrated biological platforms in which host physiology and gut microbial communities interact to facilitate polymer transformation. This review synthesizes current knowledge on plastic degradation in insect larvae, with a focus on mechanistic insights into host-microbe interactions. Evidence suggests a multi-step process involving mechanical fragmentation, oxidative modification of polymer chains, microbial depolymerization, and metabolic processing of intermediates. However, the relative contributions of host-derived enzymes and gut microbiota, as well as the extent of true biodegradation versus partial transformation, remain incompletely resolved. Advances in multi-omics approaches have provided important insights into these systems by linking physicochemical changes in polymers to underlying molecular and metabolic processes. At the same time, these data are largely correlative, and direct experimental validation of specific enzymatic roles remains limited. Building on these insights, emerging enzyme engineering and synthetic biology strategies aim to replicate the coordinated, multi-step processes observed in insect systems for improved degradation efficiency. This review highlights insect-microbiome systems as valuable models for understanding complex biodegradation mechanisms and guiding the development of integrated, enzyme-based strategies for sustainable plastic waste management.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Getting Started with Azure OpenAI (GPT-4o, DALL-E, and Whisper)",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8_6",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "Using GPT-4 to annotate the severity of all phenotypic abnormalities within the human phenotype ontology.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42255286",
"content": "The Human Phenotype Ontology (HPO) provides a unified framework cataloguing over 17,500 phenotypic abnormalities across more than 8,600 rare diseases, defining hierarchical relationships between them. For example, classifying missing arms and missing legs as both abnormalities of the limb. This structure enables phenome-wide analyses, including the prioritisation of phenotypes as candidates for gene therapy. However, the HPO currently lacks sufficient metadata describing the clinical severity of these phenotypes. Manual expert curation at this scale would be prohibitively labour-intensive, creating a need for automated approaches to systematically annotate phenotypic severity.",
"engine": "pubmed",
"category": "science"
},
{
"title": "openai: R Wrapper for OpenAI API",
"url": "https://CRAN.R-project.org/package=openai",
"content": "",
"engine": "crossref",
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},
{
"title": "Use of Large Language Models to Enhance Failure Mode and Effects Analysis: A Case Study.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42254724",
"content": "Failure Mode and Effects Analysis (FMEA) is widely used in radiation oncology to proactively identify and mitigate risks, but it is time-consuming and depends heavily on expert experience. This study evaluated whether large language models (LLMs) can supplement traditional expert-driven FMEA by identifying novel failure modes within the Radiation Planning Assistant (RPA) workflow.",
"engine": "pubmed",
"category": "science"
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]
}
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"title": "OpenAI 官网入口地址：如何轻松找到",
"url": "https://apifox.com/apiskills/openai-official-portal/",
"content": "OpenAI OpenAI是一个强大的开放人工智能研究平台，其提供了一系列深度学习和自然语言处理的工具和技术。 使用OpenAI可以获得以下优点： 更准确的预测或推荐：OpenAI 的模型可以训练和预测特定 …",
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"title": "OpenAI_百度百科",
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"content": "OpenAI是2015年12月11日由萨姆·奥尔特曼、埃隆·马斯克、彼得·蒂尔等科技领袖创立的一家研究和部署人工智能的公司，总部位于美国旧金山，公司核心宗旨在于“实现安全的通用人工智能 (AGI)”，现任 …",
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"title": "OpenAI ChatGPT 国内使用方式，附完全使用指南【2025年 ...",
"url": "https://www.chatgpt-chinese.com/blog/guides/chatgpt/openai-chinese-guide.html",
"content": "Nov 11, 2025 · OpenAI ChatGPT 国内使用方式，附完全使用指南【2025年持续更新】 最新更新：2025年11月11日 本文为您提供最全面的 OpenAI ChatGPT 国内使用指南。我们将详细介绍 …",
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{
"title": "OpenAI 开发者 - OpenAI 教程",
"url": "https://developers.openai.ac.cn/",
"content": "Apr 16, 2026 · 面向开发者的 OpenAI 旨在帮助您使用 OpenAI 构建产品、为 OpenAI 构建生态以及基于 OpenAI 进行开发的文档与资源。",
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"title": "OpenAI - GitHub",
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"content": "Go 21 4 1 2 Updated 6 hours ago openai-dotnet Public The official .NET library for the OpenAI API",
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"title": "入门 | OpenAI 官方帮助文档中文版",
"url": "https://openai.xiniushu.com/category/%E5%85%A5%E9%97%A8",
"content": "Jul 20, 2023 · OpenAI 已经训练了非常擅长理解和生成文本的领先的语言模型。 我们的 API 提供对这些模型的访问，可用于处理几乎任何涉及”语言处理“的任务。 调用库（Libraries） Python 库 模 …",
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"title": "个人怎么才能使用OpenAI? - 知乎",
"url": "https://www.zhihu.com/question/572946129",
"content": "如果你是想用OpenAI的话，那就会相对麻烦一些，需要你注册OpenAI的账户，和申请一个虚拟卡进行一个充值。 而如果使用ChatGPT的话，比较方便，直接进入官网即可。 下面简单的讲一下，OpenAPI …",
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{
"title": "Congratulations! - OpenOpenAI",
"url": "https://www.open-openai.com/app",
"content": "May 29, 2026 · OpenOpenAI offers AI-powered solutions and tools for diverse applications, enhancing productivity and innovation.",
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"title": "OpenAI教程-CSDN博客",
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"content": "Aug 5, 2023 ... 1 Answer 1 ... One cannot configure an Azure OpenAI resource so that one cannot spend more than some given amount of money on it, aside from ...",
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"content": "Nov 21, 2023 ... 1 Answer 1 ... Non-compete clauses are not enforceable in California unless it in conjunction with the purchase of a business. This has been true ...",
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"content": "Sep 27, 2017 ... Edit: OpenAI does not offer anything to store experience out of the box, as I noted in my comment you could pretty easily whip up some code that ...",
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"content": "Jan 15, 2024 ... 1 Answer 1 ... requires external service authentication, billing and internet connectivity. ... TextSummarize used to condense textual information.",
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"content": "Mar 20, 2023 ... What has replaced OpenAI Retro Gym? OpenAI Retro Gym hasn't been updated in years, despite being high profile enough to garner 3k stars. It ...",
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"title": "Behind SoftBank's Multi-Billion Dollar Bet On OpenAI",
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"content": "Corporate leaders want to give investors control, drawing a host of concerns.",
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"title": "OpenAI wins $200 million US defense contract",
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"title": "Meta poaches three OpenAI researchers, WSJ reports",
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"content": "OpenAI on Tuesday said it is rolling out age prediction on ChatGPT globally, to determine whether an account is likely owned by a minor, as the artificial intelligence startup prepares to allow adult content on the popular chatbot.",
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"content": "Last year, Musk accused OpenAI of straying from its founding mission - to develop AI for the good of humanity, not corporate profit.",
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"content": "Caitlin Kalinowski cited concerns about surveillance of Americans without judicial oversight and \"lethal autonomy without human authorization.\"",
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"title": "OpenAI backs startup aiming to block AI-enabled bioweapons",
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"content": "ChatGPT maker OpenAI on Thursday said it will invest in a startup focused on blocking bad actors from creating biological weapons powered by artificial intelligence.",
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"content": "Generative artificial intelligence heavyweight OpenAI launched a new AI tool on Sunday called \"deep research\", which it said conducts multi-step research on the internet for complex tasks.",
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"content": "Elon Musk's artificial intelligence startup xAI has sued rival OpenAI in California federal court for allegedly stealing its trade secrets to gain an unfair advantage in the race to develop AI technology.",
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"content": "Shares of artificial intelligence-related firms ​dropped on Tuesday after the Wall Street Journal reported that OpenAI had missed its goals for new users and revenue in ‌recent months, raising concerns over the ChatGPT creator's growth prospects.",
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"content": "ChatGPT maker OpenAI named members to its newly formed nonprofit commission on Tuesday, which will guide the company's philanthropic efforts.",
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"content": "OpenAI, which started the artificial intelligence boom with its ChatGPT chatbot, filed confidentially on Monday for an initial public... “But it’s a complicated set of trade-offs, and this gives us the option to go public sooner if that ends up being best.” An OpenAI...",
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"content": "7일(현지시간) 파이낸셜타임스(FT) 보도에 따르면, OpenAI를 비롯한 AI 기업이 자발적으로 일정 지분을 출연해 '국부펀드형' 공공 기금을 만들고, 그... OpenAI 주도의 국부펀드형 구상 업계 관계자들에 따르면 가장 유력한 시나리오는 AI 기업들이 자발적으로 소량의 지분을 출연하는 방식이다. OpenAI가 이를...",
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"content": "무신사는 오픈AI(OpenAI)의 대화형 AI 플랫폼 서비스인 '챗GPT'에 무신사 앱을 선보인다고 9일 밝혔다. 무신사는 지난 3월 카카오와 손잡고 카카오톡 내에서 AI가 스타일을 추천해 주는 '챗지피티 포 카카오' 서비스를 선보인 바 있다. 이번 서비스 출시로 오픈AI 자체 글로벌 플랫폼으로 서비스 접점을 넓히게...",
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"title": "Have a Thorny Medical Question? Your Doctor May Be Using A.I. for That.",
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"content": "And last month, OpenAI introduced ChatGPT for Clinicians. OpenEvidence became a front-runner in part because it exclusively used medical... like OpenAI and Google, which are trained on data across the open internet. OpenEvidence, founded in 2022, took a more focused...",
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"title": "dair-ai/Prompt-Engineering-Guide",
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"title": "xtekky/gpt4free",
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"title": "unslothai/unsloth",
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"content": "Python / Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.",
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"title": "FlowiseAI/Flowise",
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"title": "BerriAI/litellm",
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"title": "asgeirtj/system_prompts_leaks",
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"content": "We show that reinforcement learning applied to large language models (LLMs) significantly boosts performance on complex coding and reasoning tasks. Additionally, we compare two general-purpose reasoning models - OpenAI o1 and an early checkpoint of o3 - with a domain-specific system, o1-ioi, which uses hand-engineered inference strategies designed for competing in the 2024 International Olympiad in Informatics (IOI). We competed live at IOI 2024 with o1-ioi and, using hand-crafted test-time strategies, placed in the 49th percentile. Under relaxed competition constraints, o1-ioi achieved a gold medal. However, when evaluating later models such as o3, we find that o3 achieves gold without hand-crafted domain-specific strategies or relaxed constraints. Our findings show that although specialized pipelines such as o1-ioi yield solid improvements, the scaled-up, general-purpose o3 model surpasses those results without relying on hand-crafted inference heuristics. Notably, o3 achieves a gold medal at the 2024 IOI and obtains a Codeforces rating on par with elite human competitors. Overall, these results indicate that scaling general-purpose reinforcement learning, rather than relying on domain-specific techniques, offers a robust path toward state-of-the-art AI in reasoning domains, such as competitive programming.",
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"content": "The OpenAI Gym provides researchers and enthusiasts with simple to use environments for reinforcement learning. Even the simplest environment have a level of complexity that can obfuscate the inner workings of RL approaches and make debugging difficult. This whitepaper describes a Python framework that makes it very easy to create simple Markov-Decision-Process environments programmatically by specifying state transitions and rewards of deterministic and non-deterministic MDPs in a domain-specific language in Python. It then presents results and visualizations created with this MDP framework.",
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"content": "OpenAI's advanced large language models (LLMs) have revolutionized natural language processing and enabled developers to create innovative applications. As adoption grows, understanding the experiences and challenges of developers working with these technologies is crucial. This paper presents a comprehensive analysis of the OpenAI Developer Forum, focusing on (1) popularity trends and user engagement patterns, and (2) a taxonomy of challenges and concerns faced by developers. We first employ a quantitative analysis of the metadata from 29,576 forum topics, investigating temporal trends in topic creation, the popularity of topics across different categories, and user contributions at various trust levels. We then qualitatively analyze content from 9,301 recently active topics on developer concerns. From a sample of 886 topics, we construct a taxonomy of concerns in the OpenAI Developer Forum. Our findings uncover critical concerns raised by developers in creating AI-powered applications and offer targeted recommendations to address them. This work not only advances AI-assisted software engineering but also empowers developer communities to shape the responsible evolution and integration of AI technology in society.",
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"content": "Recent advances in artificial intelligence have been driven by an exponential growth in digitised data. Natural language processing, in particular, has been transformed by machine learning models such as OpenAI’s GPT-3 which generates human-like text so realistic that its developers have warned of the dangers of its misuse. In recent months OpenAI released Codex, a new deep learning model trained on Python code from more than 50 million GitHub repositories. Provided with a natural language description of a programming problem as input, Codex generates solution code as output. It can also explain (in English) input code, translate code between programming languages, and more. In this work, we explore how Codex performs on typical introductory programming problems. We report its performance on real questions taken from introductory programming exams and compare it to results from students who took these same exams under normal conditions, demonstrating that Codex outscores most students. We then explore how Codex handles subtle variations in problem wording using several published variants of the well-known “Rainfall Problem” along with one unpublished variant we have used in our teaching. We find the model passes many test cases for all variants. We also explore how much variation there is in the Codex generated solutions, observing that an identical input prompt frequently leads to very different solutions in terms of algorithmic approach and code length. Finally, we discuss the implications that such technology will have for computing education as it continues to evolve, including both challenges and opportunities.",
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"title": "ns-3 meets OpenAI Gym",
"url": "https://doi.org/10.1145/3345768.3355908",
"content": "Recently, we have seen a boom of attempts to improve the operation of networking protocols using machine learning techniques. The proposed reinforcement learning (RL) based control solutions very often overtake traditionally designed ones in terms of performance and efficiency. However, in order to reach such a superb level, an RL control agent requires a lot of interactions with an environment to learn the best policies. Similarly, the recent advancements in image recognition area were enabled by the rise of large labeled datasets (e.g. ImageNet). This paper presents the ns3-gym - the first framework for RL research in networking. It is based on OpenAI Gym, a toolkit for RL research and ns-3 network simulator. Specifically, it allows representing an ns-3 simulation as an environment in Gym framework and exposing state and control knobs of entities from the simulation for the agent's learning purposes. Our framework is generic and can be used in various networking problems. Here, we present an illustrative example from the cognitive radio area, where a wireless node learns the channel access pattern of a periodic interferer in order to avoid collisions with it. The toolkit is provided to the community as open-source under a GPL license.",
"engine": "openalex",
"category": "science"
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{
"title": "Artificial intelligence (AI) technology in OpenAI ChatGPT application: A review of ChatGPT in writing English essay",
"url": "https://doi.org/10.15294/elt.v12i1.64069",
"content": "ChatGPT is a product of AI that is currently being widely discussed on Twitter. This research reviews how ChatGPT writes English essays. This research is descriptive qualitative. The analysis shows that we can access ChatGPT on openai.com or chat.openai.com on the browser. If we do not have an account, we register via email, Google, or Microsoft account. After login, enter a question or statement in the conversation column provided. Send it and ChatGPT will respond and the answer appear quickly. The researcher tries ChatGPT “Can you help me in doing my English assignment?\", and the ChatBot replies \"Of course! I'd be happy to help you with your English assignment. What do you need help with? Do you have a specific question or task that you're working on, or is there a broader topic that you'd like help with? It would be helpful to have some more information so that I can better understand how I can assist you\". Based on several tries, ChatGPT can answer all questions on various topics such as English essays including a descriptive text about Solo and My Family, recount text about personal experience and unforgettable moments, resolution in 2023, and future career. ChatGPT considers the event orders and writing order, including using main, explanatory sentences, and a conclusion. It uses two voices both active and passive voice. Besides, it considers tenses use related to the given topic essay. However, from examples of English essays produced by ChatGPT, it certainly requires further research to find out that the essay results are grammatically accurate.",
"engine": "openalex",
"category": "science"
},
{
"title": "Extending the OpenAI Gym for robotics: a toolkit for reinforcement learning using ROS and Gazebo",
"url": "http://arxiv.org/abs/1608.05742",
"content": "This paper presents an extension of the OpenAI Gym for robotics using the Robot Operating System (ROS) and the Gazebo simulator. The content discusses the software architecture proposed and the results obtained by using two Reinforcement Learning techniques: Q-Learning and Sarsa. Ultimately, the output of this work presents a benchmarking system for robotics that allows different techniques and algorithms to be compared using the same virtual conditions.",
"engine": "openalex",
"category": "science"
},
{
"title": "A Study on the Utilization of OpenAI ChatGPT as a Second Language Learning Tool",
"url": "https://doi.org/10.33851/jmis.2023.10.1.79",
"content": "In November 2022, ChatGPT was introduced and caused a sensation, gathering 100 million users only within two months. ChatGPT’s capability of generating high-quality sentences demonstrated potential to be applied in a wide range of fields. In this paper, we explore the utilization of ChatGPT as a second language learning tool and scrutinize its suitability. Specifically, we analyzed technical aspects of ChatGPT including its principles, history, and features. We then assessed its ability from two different perspectives: designing course contents and teaching these contents based on Task-Based Language Teaching (TBLT) method. Firstly, we built up a Korean ESL learner persona who is an intermediate level and directed ChatGPT to construct a course for business English writing. Second, we asked ChatGPT to teach business English writing by TBLT method. Although there were areas for improvement, the results were promising, indicating that ChatGPT was able to execute given prompts to act as a language learning tool. By highlighting opportunities and concerns of ChatGPT in the language learning context, this paper implied its potential to create enhanced learning experience by facilitating a supportive learning environment. Further research is expected to investigate its effectiveness in diverse contexts and purposes.",
"engine": "openalex",
"category": "science"
},
{
"title": "Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports",
"url": "https://doi.org/10.1016/j.clinimag.2023.06.008",
"content": "",
"engine": "openalex",
"category": "science"
},
{
"title": "ns3-gym: Extending OpenAI Gym for Networking Research",
"url": "http://arxiv.org/abs/1810.03943",
"content": "OpenAI Gym is a toolkit for reinforcement learning (RL) research. It includes a large number of well-known problems that expose a common interface allowing to directly compare the performance results of different RL algorithms. Since many years, the ns-3 network simulation tool is the de-facto standard for academic and industry research into networking protocols and communications technology. Numerous scientific papers were written reporting results obtained using ns-3, and hundreds of models and modules were written and contributed to the ns-3 code base. Today as a major trend in network research we see the use of machine learning tools like RL. What is missing is the integration of a RL framework like OpenAI Gym into the network simulator ns-3. This paper presents the ns3-gym framework. First, we discuss design decisions that went into the software. Second, two illustrative examples implemented using ns3-gym are presented. Our software package is provided to the community as open source under a GPL license and hence can be easily extended.",
"engine": "openalex",
"category": "science"
}
]
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{
"title": "Getting Started with Azure OpenAI (Introduction to Azure AI and OpenAI)",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8_1",
"content": "",
"engine": "crossref",
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{
"title": "gym: Provides Access to the OpenAI Gym API",
"url": "https://CRAN.R-project.org/package=gym",
"content": "",
"engine": "crossref",
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{
"title": "OpenAI Codex CLI",
"url": "https://hub.researchgraph.org/openai-codex-cli/",
"content": "<jats:p>Introduction AI is changing the way we code by making it faster, easier, and more intuitive. One tool that puts this shift into action is the &lt;strong&gt; OpenAI Codex CLI &lt;/strong&gt; , a command-line interface powered by the same model driving GitHub Copilot. It acts like a coding assistant directly in your terminal.</jats:p>",
"engine": "crossref",
"category": "science"
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{
"title": "Getting Started with Azure OpenAI (Azure .NET SDK for Azure OpenAI and AI Services)",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8_3",
"content": "",
"engine": "crossref",
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{
"title": "Getting Started with Azure OpenAI",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "OpenAI Codex App",
"url": "https://blog.stephenturner.us/p/openai-codex-app-qqman",
"content": "<jats:p>Vibe-updating my old qqman R package to ggplot2 with plan+execute.</jats:p>",
"engine": "crossref",
"category": "science"
},
{
"title": "openaiRtools: R Client for the 'OpenAI' API",
"url": "https://CRAN.R-project.org/package=openaiRtools",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "Getting Started with Azure OpenAI (Introduction to Assistants)",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8_5",
"content": "",
"engine": "crossref",
"category": "science"
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{
"title": "Getting Started with Azure OpenAI (.NET SDK and AI Studio)",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8_4",
"content": "",
"engine": "crossref",
"category": "science"
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{
"title": "Generative AI for Web Development (Alternative Models to OpenAI)",
"url": "https://link.springer.com/10.1007/979-8-8688-0885-2_7",
"content": "",
"engine": "crossref",
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{
"title": "stt.api: 'OpenAI' Compatible Speech-to-Text API Client",
"url": "https://CRAN.R-project.org/package=stt.api",
"content": "",
"engine": "crossref",
"category": "science"
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{
"title": "A Case Study on the Financing of OpenAI",
"url": "https://www.hanspub.org/journal/paperinformation?paperid=137422",
"content": "",
"engine": "crossref",
"category": "science"
},
{
"title": "Getting Started with Azure OpenAI (GPT-4o, DALL-E, and Whisper)",
"url": "https://link.springer.com/10.1007/979-8-8688-0599-8_6",
"content": "",
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{
"title": "Applied Reinforcement Learning with Python (Custom OpenAI Reinforcement Learning Environments)",
"url": "http://link.springer.com/10.1007/978-1-4842-5127-0_5",
"content": "",
"engine": "crossref",
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{
"title": "openai: R Wrapper for OpenAI API",
"url": "https://CRAN.R-project.org/package=openai",
"content": "",
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{
"title": "Generative AI for Web Development (Overview of the OpenAI APIs)",
"url": "https://link.springer.com/10.1007/979-8-8688-0885-2_6",
"content": "",
"engine": "crossref",
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{
"title": "openaistream: Streaming Capabilities for 'OpenAI API' Interactions",
"url": "https://CRAN.R-project.org/package=openaistream",
"content": "",
"engine": "crossref",
"category": "science"
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{
"title": "oaii: 'OpenAI' API R Interface",
"url": "https://CRAN.R-project.org/package=oaii",
"content": "",
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{
"title": "Diagnosis, care pathways, and Complementary and Alternative Medicine (CAM) use among digestive cancer patients in Benin: a qualitative study.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42260244",
"content": "In Benin, patients with digestive cancers face multiple challenges, including diagnostic delays and limited access to care. In this context, the use of complementary and alternative medicine (CAM) is common. This study aimed to describe the diagnostic and care pathways of patients with digestive cancers in Benin, and their experiences with both complementary and alternative medicine (CAM) and conventional treatments.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Risk and liability in the deployment of AI systems for surgery: a SAGES white paper.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42260175",
"content": "Artificial intelligence (AI) is increasingly utilized in surgical care for decision support, operative planning, intraoperative guidance, and autonomous functions. While these systems can enhance efficiency and clinical performance, they also introduce risks related to technology, human factors, legal issues, and ethics. Current regulatory and legal frameworks are not fully equipped to address the challenges of AI-assisted surgery.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Hybrid carbon matrices enable the suppression of polysulfide shuttle effect in Li-S batteries.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42260086",
"content": "Lithium-sulfur (Li-S) batteries offer high theoretical energy density but face critical challenges due to sulfur's poor conductivity and the polysulfide shuttle effect. Here we report a novel cathode design utilizing a hybrid carbon matrix derived from buckwheat biomass and single-walled carbon nanotubes (SWCNT) to overcome these issues. The buckwheat-derived hard carbon (HC), obtained at 1000 °C, provides hierarchical porosity to anchor polysulfides and buffer sulfur expansion, while SWCNT (optimized at 6%) creates a conductive network. As a result, S@SP/HC/SWCNT cathode delivers an initial discharge capacity of ~ 1250 mAh g",
"engine": "pubmed",
"category": "science"
},
{
"title": "Efficacy and Safety Profile of a Triple Single-Pill Combination of Valsartan/Amlodipine/Chlorthalidone in Patients with Uncontrolled Hypertension.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42259717",
"content": "This randomized, double-blind, multicenter Phase III study evaluated the efficacy and safety profile of a single-pill triple combination of valsartan/amlodipine/chlorthalidone (KDF1901, Valdipine Plus) compared with a dual combination of valsartan/amlodipine (KDF1901-R) in patients with essential hypertension.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Lung Complications after Allogeneic Hematopoietic Cell Transplant and Outcomes: Implications Beyond Bronchiolitis Obliterans Syndrome.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42259420",
"content": "Lung chronic graft-versus-host disease (cGVHD) after allogeneic hematopoietic cell transplantation (HCT) comprises heterogeneous pulmonary phenotypes known as lung complications after transplantation (LCAT). While bronchiolitis obliterans syndrome (BOS) is well recognized and is associated with poor survival, restrictive phenotypes-including HCT-associated organizing pneumonia (HCT-OP) and truncal sclerosis (TS)- remain poorly defined. Prior studies often grouped restrictive phenotypes, potentially obscuring phenotype-specific risk profiles and introducing survival bias by not taking into account the variable timing of LCAT onset. Direct comparison between specific LCAT phenotypes and patients with cGVHD without lung involvement is limited, leaving uncertainty regarding the relative prognostic impact of individual LCAT phenotypes.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Simulated Reasoning and Self-Verification for Psychiatric Diagnosis in Generalist Large Language Models: Comparative Evaluation.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42258613",
"content": "Large language models (LLMs) and, more recently, large reasoning models (LRMs) have rapidly garnered significant interest for application in psychiatry and behavioral health. However, recent studies have identified significant shortcomings and potential risks in the performance of LLM-based systems, complicating their application to psychiatric diagnosis. Two promising approaches to addressing these challenges and improving the efficacy of these models are simulated reasoning (SR) and self-verification (SV), in which additional \"reasoning tokens\" are used to guide model output, either during or after inference.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Large Language Model Chatbot Conversations vs Public Health Materials and Parental HPV Vaccination Intentions: A Randomized Clinical Trial.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42258213",
"content": "Health care systems are increasingly considering large language model (LLM)-based chatbots for vaccine communication, but evidence that they improve durable, behaviorally relevant outcomes beyond existing health materials is limited.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Divergent modes of episodic organization underlie whether emotional learning enhances memory across event boundaries.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42258125",
"content": "Episodic memory organizes continuous experience into discrete events, often limiting integration across temporal gaps. Emotionally salient experiences, such as learning about threats, may nevertheless enhance memory for motivationally relevant information across nominal event boundaries. Yet evidence for such cross-boundary modulation is mixed, suggesting that emotional learning may not exert a uniform effect on episodic memory across individuals. Here, we examined whether this heterogeneity reflects a mixture of divergent tendencies in how individuals structure their experience in memory - by temporal boundaries or by emotional relevance. Young adults (N = 285) incidentally encoded neutral images from two categories (animals, tools) across three temporally separated phases: pre-conditioning, conditioning, and post-conditioning. During conditioning, one category was partially reinforced with mild electric shocks to establish a category-level threat association. Memory was tested 24 h later using a surprise old-new recognition task. Although no reliable cross-phase enhancement was evident at the group level, data-driven individual-level analyses revealed two distinct patterns of episodic memory modulation. One pattern showed declining memory across phases, with emotional effects confined to shock-predictive items encoded during conditioning. The other showed memory structured around the emotional learning episode, with category-selective prioritization extending into the post-conditioning phase. These findings suggest that enhanced memory for subsequent threat-relevant information emerges specifically in individuals for whom the emotional learning episode, rather than nominal temporal structure, becomes the primary anchor of memory organization.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Drug-associated cytokine release syndrome: a FAERS pharmacovigilance study with complementary transcriptomic analysis.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42257985",
"content": "Cytokine release syndrome (CRS) is a potentially severe systemic inflammatory toxicity associated with immunotherapies such as CAR-T cells, monoclonal antibodies, and immune checkpoint inhibitors. However, its real-world reporting landscape across different drug classes remains incompletely characterized. We conducted a pharmacovigilance study using the FDA Adverse Event Reporting System (FAERS) from 2004 to 2024, focusing on reports coded as CRS. Disproportionality analyses were used to identify drugs associated with disproportionate CRS reporting, and temporal patterns were assessed using time-to-onset analyses and Weibull modeling. Logistic regression was used to explore factors associated with reported fatal outcomes among CRS cases. To provide complementary mechanistic context, exploratory transcriptomic and immune infiltration analyses were performed using the GEO dataset GSE255323. A total of 12,941 CRS reports were linked to 58 drugs, with CAR-T therapies and bispecific antibodies representing the most frequently reported triggers. Female-predominant reporting patterns were more commonly observed with conventional treatments, whereas male-predominant reporting patterns were more often observed with newer immunotherapies. CRS was typically reported within 3 days of drug administration, with a modest but statistically significant earlier onset in women. Factors associated with reported fatal outcomes included male sex, hematologic malignancies, and exposure to specific agents such as tisagenlecleucel. Complementary exploratory transcriptomic analyses suggested immune dysregulation involving myeloid and T-cell-related pathways, and immune deconvolution analyses indicated a pro-inflammatory effector-dominant profile in CRS samples. This study characterizes the real-world reporting landscape of drug-associated CRS and highlights sex-specific reporting patterns, early-onset clinical trajectories, and factors associated with reported fatal outcomes in FAERS. Complementary exploratory transcriptomic analyses suggest potential involvement of myeloid and T-cell dysregulation in CRS, providing additional context for future mechanistic and clinical studies.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Protective effects of dexpanthenol against diatrizoate-induced contrast nephropathy via the SIRT1-p53-Bcl-2/Bax pathway in rats.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42257981",
"content": "Contrast agents are widely used in medical imaging to improve tissue differentiation, but they can cause serious inflammatory responses, including contrast-induced nephropathy (CIN). Dexpanthenol (DEX) is known for its antioxidant, anti-inflammatory, and anti-apoptotic properties. This study aimed to investigate the potential protective effects of dexpanthenol in a rat model of diatrizoate-induced CIN. In this study, 32 Wistar albino rats were randomly divided into four groups: control, Urografin (URO; 10 mL/kg, intraperitoneal [i.p.]), URO + DEX (500 mg/kg, i.p. for 3 days), and DEX alone. Renal function markers (serum urea and creatinine), total oxidant status (TOS), total antioxidant status (TAS), and oxidative stress index (OSI) were measured. Histopathological evaluation and immunohistochemical analysis of tumor necrosis factor-alpha (TNF-α) and caspase-3 (Cas-3) were performed. Additionally, SIRT1, Bcl-2, Bax, and p53 mRNA expression levels were assessed. URO administration increased TOS and OSI values and caused significant renal histopathological damage. TNF-α and Cas-3 immunoreactivity, along with Bax and p53 gene expression, were significantly elevated, while Bcl-2 and SIRT1 expression was suppressed. DEX treatment provided partial improvement in these changes, contributed to the preservation of renal architecture, and was associated with improvements in biochemical and molecular parameters approaching those of the control levels. In conclusion, DEX may exert nephroprotective effects against CIN by reducing oxidative stress, inhibiting pro-inflammatory and apoptotic pathways, and increasing anti-apoptotic gene expression. These findings provide a preclinical basis supporting the idea that dexpanthenol is a promising candidate for further translational and clinical studies in contrast-induced renal injury.",
"engine": "pubmed",
"category": "science"
},
{
"title": "AI-based computer vision as an adjunct tool for CVS documentation in laparoscopic cholecystectomy.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42257949",
"content": "Despite widespread endorsement for Critical View of Safety (CVS) to prevent bile duct injury during laparoscopic cholecystectomy (LC), attainment remains low. Quality assurance is limited by inaccurate operative reports and absent visual documentation. This study evaluated a surgical artificial intelligence (AI) platform as an adjunct for CVS documentation, comparing its performance to narrative operative reports using expert video review as the reference-standard.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Early respiratory decline around diagnosis and short-term post-landmark outcomes in amyotrophic lateral sclerosis: a 6-month landmark cohort study.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42257902",
"content": "In amyotrophic lateral sclerosis (ALS), respiratory decisions rely on serial trends rather than a single value. We evaluated whether early respiratory decline around diagnosis provides prognostic information in a real-world landmark framework.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Integrative frameworks for plastic biodegradation in insect-microbiome systems: mechanistic insights, emerging multi-omics and enzyme engineering perspectives.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42257753",
"content": "Plastic pollution remains a major global environmental challenge due to the persistence and recalcitrance of synthetic polymers, particularly polyolefins such as polyethylene and polypropylene. Conventional management strategies, including landfilling, incineration, and chemical recycling, are energy-intensive and often fail to achieve complete degradation. Biological approaches offer a promising alternative, yet microbial systems alone are frequently limited by low degradation efficiency, incomplete mineralization, and challenges in scalability. In this context, insect-microbiome systems have emerged as integrated biological platforms in which host physiology and gut microbial communities interact to facilitate polymer transformation. This review synthesizes current knowledge on plastic degradation in insect larvae, with a focus on mechanistic insights into host-microbe interactions. Evidence suggests a multi-step process involving mechanical fragmentation, oxidative modification of polymer chains, microbial depolymerization, and metabolic processing of intermediates. However, the relative contributions of host-derived enzymes and gut microbiota, as well as the extent of true biodegradation versus partial transformation, remain incompletely resolved. Advances in multi-omics approaches have provided important insights into these systems by linking physicochemical changes in polymers to underlying molecular and metabolic processes. At the same time, these data are largely correlative, and direct experimental validation of specific enzymatic roles remains limited. Building on these insights, emerging enzyme engineering and synthetic biology strategies aim to replicate the coordinated, multi-step processes observed in insect systems for improved degradation efficiency. This review highlights insect-microbiome systems as valuable models for understanding complex biodegradation mechanisms and guiding the development of integrated, enzyme-based strategies for sustainable plastic waste management.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Using GPT-4 to annotate the severity of all phenotypic abnormalities within the human phenotype ontology.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42255286",
"content": "The Human Phenotype Ontology (HPO) provides a unified framework cataloguing over 17,500 phenotypic abnormalities across more than 8,600 rare diseases, defining hierarchical relationships between them. For example, classifying missing arms and missing legs as both abnormalities of the limb. This structure enables phenome-wide analyses, including the prioritisation of phenotypes as candidates for gene therapy. However, the HPO currently lacks sufficient metadata describing the clinical severity of these phenotypes. Manual expert curation at this scale would be prohibitively labour-intensive, creating a need for automated approaches to systematically annotate phenotypic severity.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Use of Large Language Models to Enhance Failure Mode and Effects Analysis: A Case Study.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42254724",
"content": "Failure Mode and Effects Analysis (FMEA) is widely used in radiation oncology to proactively identify and mitigate risks, but it is time-consuming and depends heavily on expert experience. This study evaluated whether large language models (LLMs) can supplement traditional expert-driven FMEA by identifying novel failure modes within the Radiation Planning Assistant (RPA) workflow.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Orthodontics beyond evidence? Commercialization, marketing-driven consumer demand, and the misconception of technological advancement as therapeutic innovation.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42251487",
"content": "",
"engine": "pubmed",
"category": "science"
},
{
"title": "Home-based eye tracking for early autism screening: a scoping review of approaches, evidence, and implementation challenges.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42251334",
"content": "Early identification of autism spectrum disorder (ASD) is essential for improving developmental outcomes but remains challenging due to diagnostic delays, subjectivity, and resource limitations. Eye-tracking offers objective indices of social attention and could improve access to early screening when deployed on consumer devices at home. This scoping review synthesizes evidence on home-deployable eye-tracking as digital biomarkers for early ASD screening, associated machine learning methods, and feasibility of real-world implementation.",
"engine": "pubmed",
"category": "science"
},
{
"title": "ENRICHED trial of preservative-free lubricants in dry eye disease.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42251079",
"content": "We evaluated the effectiveness, adherence, and safety of preservative-free (PF) lubricants in adults with dry eye disease (DED) under real-world clinical conditions. The ENRICHED-PF trial (NCT06162442) was a single-arm, prospective interventional study conducted in Cali, Colombia. A total of 120 adults with mild-to-moderate DED initiated PF propylene glycol 0.3% / polyethylene glycol 0.4% drops for six months. Longitudinal analyses were performed using linear mixed-effects models, with multiple imputation applied under a Missing at Random assumption to handle missing data. At baseline, the median Ocular Surface Disease Index (OSDI) score was 31.2 [19.2-47.4]. Longitudinal model-based estimates showed an OSDI estimated marginal mean (EMM) of 33.9 at baseline, 23.1 at 3 months, and 16.8 at 6 months in the mITT population, corresponding to an estimated change of - 17.1 points at month six (p < 0.001), with 65.4% of the modified intention-to-treat (mITT) population and 58% of the per-protocol (PP) population achieving a clinically meaningful response (≥ 10-point improvement). Tear break-up time increased and corneal staining scores decreased (both p < 0.001), while Schirmer I values remained stable. Additionally, NEI VFQ-25 composite scores improved by 8.9±3.1 points (p<0.001). These findings suggest clinically meaningful improvements in symptoms, tear film stability, and ocular surface integrity over time, which were associated with treatment using PF lubricants. However, given the single-arm design, the absence of a comparator group, and loss to follow-up during the study period, the magnitude of these effects should be interpreted with caution and confirmed in controlled comparative studies.Clinical Trial Registration: ClinicalTrials.gov Identifier: NCT06162442.",
"engine": "pubmed",
"category": "science"
},
{
"title": "Acetabular cup orientation differs across surgical approaches in primary total hip arthroplasty: a retrospective analysis.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42250144",
"content": "Accurate acetabular cup positioning is crucial in primary total hip arthroplasty (THA), as malposition is associated with instability and early failure. We hypothesized that acetabular cup orientation may differ according to the surgical approach used. The aim of this study was to assess whether acetabular anteversion and inclination vary according to surgical approach and whether these differences affect the proportion of acetabular cups positioned outside reference orientation zones.",
"engine": "pubmed",
"category": "science"
},
{
"title": "CRISPR/Cas‑based epigenome editing for osteogenic lineage commitment.",
"url": "https://www.ncbi.nlm.nih.gov/pubmed/42247138",
"content": "Bone regeneration remains constrained by incomplete osteogenic commitment of mesenchymal stem cells (MSCs), underscoring the need for precise lineage control. CRISPR/Cas-based epigenome editing provides programmable access to chromatin regulators without altering the DNA sequence, and catalytically inactive Cas9 (dCas9) fused to transcriptional activators, repressors, or chromatin modifiers enables locus-specific modulation of key osteogenic networks, including RUNX2, OSX, and BMP2, while suppressing inhibitory loci such as PPARG, SOST, and DKK1. Multiplex strategies further allow the concurrent activation of osteogenic genes and repression of adipogenic or Wnt antagonists, reshaping lineage allocation in vitro and in vivo. Delivery innovations-from AAV vectors and lipid nanoparticles to biomaterial scaffolds and extracellular vesicles-support local and systemic applications with increasing precision, while whole-genome chromatin profiling and high-fidelity Cas variants reduce off-target risk, and CRISPRoff/on platforms provide reversible and heritable control of transcriptional states. Proof-of-concept studies in small animals demonstrate bone repair in preclinical models, with emerging large-animal data highlighting translational potential. Remaining challenges include payload size, immunogenicity, durability of epigenetic states, GMP-grade manufacturing, and regulatory classification. Looking ahead, advances such as AI-guided gRNA libraries, mechano-responsive scaffolds, and long-term tracking of epigenetic memory may yield durable \"smart\" osteo-epigenetic therapies. Collectively, CRISPR/dCas9-based epigenome editing is progressing from mechanistic exploration toward clinically viable strategies for skeletal regeneration.",
"engine": "pubmed",
"category": "science"
}
]
}
]
}
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