找到 2857 篇相关文章
OpenAI’s new Astra model will use “recurrent depth,” a technique that allows the model to operate outside of the sequential thinking that characterizes most reasoning models.
GitHub热门项目 | autonomous red teaming platform; multi-agent offensive-security meta-harness | Stars: 5,934 | 257 stars this week | 语言: TypeScript
The US government wrote a letter in support of OpenAI’s argument that training AI on others' intellectual property is fair use.
A startup called Mostik has a wild new approach to combining the capabilities of AI models.
"The United States has a strong interest in continuing to develop a robust and competitive artificial intelligence industry that sets the standard for the practice and procedure of AI use globally," the brief reads.
OpenAI is on the cusp of releasing its most powerful AI model yet, Astra, following weeks of delays to shore up safety protocols after its agents attacked real targets during testing. As details about the model trickle out, researchers are warning it "may be the single worst development for AI security/safety to date." Shortly after […]
The Trump administration has intervened in The New York Times' copyright lawsuit against OpenAI, making an argument in favor of the AI lab. The landmark lawsuit, filed in December 2023, alleging that OpenAI unlawfully trained its AI systems on articles from The New York Times and seeks to recoup "billions of dollars" in damages from […]
Warum Bill Gates’ Konzept „Human Reserved“ theoretisch sinnvoll ist – aber in der Praxis scheitern könnte Künstliche Intelligenz und Robotik verändern die Arbeitswelt grundlegend. Bill Gates warnt davor, dass zahlreiche Tätigkeiten in Bereichen wie Recht, Kundenservice, Gesundheitswesen, Softwareentwicklung und Industrie innerhalb des nächsten Jahrzehnts automatisiert werden könnten. Sein vorgeschlagener Gegenentwurf ist das, was er „Human Reserved“ nennt: Bestimmte Aufgaben sollen weiterhin in der Verantwortung von Menschen bleiben, selbst wenn Maschinen technisch in der Lage wären, sie auszuführen. Die Idee ist überzeugend – und zugleich grundlegend problematisch. Die zentrale Herausforderung liegt in der Lücke zwischen menschliche Kontrolle zu verlangen und tatsächlich die Voraussetzungen für eine sinnvolle menschliche Kontrolle zu schaffen. Unternehmen setzen KI vor allem ein, um Arbeit schneller, günstiger und skalierbarer zu machen. Eine echte menschliche Überprüfung erfordert dagegen Zeit, Fachwissen und Geld. Wenn diese Ressourcen nicht bewusst in den Prozess eingebaut werden, kann der Mensch auf kaum mehr als den letzten Klick zur Freigabe reduziert werden. Die betreffende Person bleibt rechtlich oder organisatorisch verantwortlich, versteht die Empfehlung aber möglicherweise nicht mehr gut genug, um sie infrage zu stellen. An diesem Punkt ist der Mensch nicht mehr die letzte Instanz. Er wird zum „Meatproxy“ : einem menschlichen Stellvertreter, der einer Entscheidung formale Legitimität verleiht, obwohl diese Entscheidung faktisch bereits von einer Maschine getroffen wurde. Damit stellt sich die wichtigere Frage: Hat ein Mensch tatsächlich noch die Kontrolle – oder steht ein Mensch lediglich am Ende des Workflows? Der entscheidende Test ist nicht, ob ein Mensch irgendwo im Prozess beteiligt ist. Entscheidend ist, ob diese Person noch über das Wissen, die Zeit, die Befugnis und die praktische Möglichkeit verfügt, eine andere Entscheidung zu treffen. Was mein
OpenAI and its CEO Sam Altman are facing 30 new lawsuits that accuse them of providing "substantial assistance and encouragement" to the suspect in Canada's Tumbler Ridge school shooting, as reported earlier by TechCrunch. The new wave of lawsuits was filed in a California federal court on Wednesday by the students, teachers, and the principal […]
GitHub热门项目 | High-performance In-browser LLM Inference Engine | Stars: 18,711 | 64 stars today | 语言: TypeScript
GitHub热门项目 | Replace port numbers with stable, named local URLs. For humans and agents. | Stars: 11,517 | 69 stars today | 语言: TypeScript
GitHub热门项目 | [EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero | Stars: 36,617 | 55 stars today | 语言: Python
GitHub热门项目 | GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community | Stars: 10,149 | 96 stars today | 语言: Python
GitHub热门项目 | Practice English, one strike, one step forward; 练习英语，一次敲击，一点进步； | Stars: 9,207 | 68 stars today | 语言: Vue
GitHub热门项目 | Source control for agents. Use multiple coding agents, track their changes and query them in one place | Stars: 2,657 | 895 stars today | 语言: Rust
GitHub热门项目 | A股自动选股系统 — 多种技术形态自动扫描，收盘后自动运行并推送飞书 | Stars: 5,919 | 195 stars today | 语言: Python
GitHub热门项目 | A modern formatting library | Stars: 23,819 | 3 stars today | 语言: C++
One of our agents ran a test suite. The suite takes four minutes. The MCP client's idle timeout is sixty seconds. You can see where this is going. At second sixty the client cancelled the call. The process kept running — nobody told it to stop — while the model, holding a cancellation where its test results should be, did the reasonable thing and ran the suite again. Two test suites, same directory, racing each other over the same build artifacts. The second one failed with a locking error, the model reported the tests as broken, and the tests were fine. In another session the same model, burned before, developed a workaround: run the build, then call sleep 240 , then look. A tool call that does nothing, held open for four minutes, so that a different tool call might have something to show. The model had reinvented polling, badly, because we hadn't given it anything better. I build octofs , an open-source MCP filesystem server, and this incident set the agenda for eleven releases in two weeks (0.10.1 through 0.14.1). The principle behind them is one I keep coming back to: an MCP server's real interface is every string it hands back to the model. These releases apply it to the slowest string of all — the one the model waits for. The shell is now event-driven. Commands start in the foreground, move to the background on their own if they outlast ten seconds, and the client gets a notification when they finish. Nothing blocks, nothing gets killed, nothing runs twice. First fix: prove the call is alive The sixty-second cancellation had a shallow cause and a deep one. The shallow one: a shell call is silent by nature. A build that's compiling says nothing on the wire for minutes, and to an MCP client silence is indistinguishable from a hung server. So 0.10.2 added liveness heartbeats — while a command runs in the foreground, octofs emits a progress notification every ten seconds, well below any sane idle timeout, so a single missed beat can't cancel the call. That stopped
OpenAI recently published an engineering account of GPT-Live. It described how they designed the system to maintain continuous voice interaction while separating latency-sensitive media processing from broader application work. The live path contains the media pipeline and inference loop, while delegation, tool use, persistence, and other application logic run behind an asynchronous RPC boundary. By Eran Stiller
Edelson PC is filing 30 new lawsuits against OpenAI over the Tumbler Ridge shooting, escalating claims to aiding and abetting and naming Chris Lehane, though evidence remains unconfirmed.