搜索“Anthropic”

进所有不需要你回答（或者答案可以假定）的事情，并使用你的回复，同时不会丢失原始任务的线索。 OpenAI 还表示，它已经达成了自动化研究实习生这一目标。这些智能体可以处理一名熟练人员需要数天才能完成的研究任务，而人类则负责设定方向并评判结果。下一个目标是在 2028 年 3 月前实现自动化 AI 研究员。 你很快就能改变 Claude Code 的行为方式。Anthropic 正在测试一种扩展其功能的方法，让 Claude Code 编写插件，从而改变界面、记录操作或限制智能体被允许做的事情。该功能尚未发布，Claude Code 团队正在征求反馈。 Inworld 为下一波消费级应用打造了 Realtime TTS-2。这需要三样东西：基于文本的语音设计、P99 下低于 100 毫秒的延迟，以及跨 200 多种语言的单一语音身份。了解如何为你的 AI 应用赋予声音。 分享 Ben's Bites ChatGPT Work 可以从你的电子邮件、消息和文件中学习你的写作风格。 在 Mac 上按住 Shift 并拖动，即可用 Tangerine 转换文件。 异类心智——Jakub Pach

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Tell us for a chance to be featured. 🎨 Gridset — Turn Claude docs, Notion pages, or PDFs into on-brand content using proven design systems built by designers 🚀 Claude Fable 5.1 - Anthropic's new flagship, top-rated model 🗣️ Realtime-TTS-2 - Inworld's top-ranked voice model, now generally available 🌎 Atlas - World Labs’ new SOTA world model in early access Sponsored Listing Nvidia announced the acquisition of Hugging Face for $12.9B, with CEO Jensen Huang saying the platform will remain open to

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e to our 3,428 new readers. We’re only three days into September, and a flurry of new AI models has already hit the leaderboards. Both Meta and Google just joined the launch party Anthropic kicked off, but on very different trajectories — Zuck and co. keep climbing into rarefied AI territory, while Google is out to prove it still has a pulse after a year to forget. In today’s AI rundown: Meta, Google join the September AI launch party Nate's Notebook: Tech literacy = your AI ceiling Nail job int

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olled out website sign-ins for ChatGPT Work, letting its agent log in to users’ accounts via its browser to handle tasks without ever seeing users' passwords. AI startup Yutori released Navigator n2, a computer-use model that mixes clicking, terminal commands, and code to finish desktop tasks, rivaling frontier agentic scores. Anthropic opened Claude data to Stanford, Oxford, and METR for studies, with one group finding over half of chats cover high-stakes tasks, like legal and financial advice.

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, the model is served under the name qwen3.8-flash . QwenCloud supports industry-standard protocols, including OpenAI-compatible Chat Completions and Responses APIs, alongside an Anthropic-compatible interface. """ Environment variables: DASHSCOPE API KEY: Your API Key from https://home.qwencloud.com/ DASHSCOPE BASE URL: (optional) Base URL for compatible-mode API. - Beijing: https://dashscope.aliyuncs.com/compatible-mode/v1 - Singapore: https://dashscope-intl.aliyuncs.com/compatible-mode/v1 -

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license Poolside’s model-development technology and bring 100+ engineers onto the Nemotron team to build powerful open-weight models. Dr. Dre told the NYT he’s using AI in producing music, calling it a tool for creativity and noting that the only people who see it as a threat are those who have trouble creating. Anthropic expanded Mythos 5 access to cyber defenders beyond Project Glasswing, while its bankers told investors the startup could raise $100B+ at a $2T IPO valuation. Sponsored Listing

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echnical (yes, the technical details definitely matter, but are harder to differentiate from lab to lab): The time to release for Z.ai is likely days, not months as with OpenAI or Anthropic. It is very, very likely that OpenAI and Anthropic have far better internal models than Z.ai and Moonshot AI. Still, these American companies tend to take months to release their models to the public , which massively flatters the Chinese labs in adoption decisions at the frontier. To put it simply – the Chin

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believe it is time to ground this conversation in reality. As highlighted in a recent Nikkei Digital Governance report (in Japanese), simply having access to a frontier model like Anthropic’s Mythos does not magically solve enterprise security. In reality, large organizations, including major financial institutions, often struggle to operationalize these tools. Without specialized internal talent and deep integration into proprietary source code, a frontier model, even with state-of-the-art cybe

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ercent to 51 percent, according to Artificial Analysis. K3 costs $3 per million input tokens and $15 per million output tokens, with a $0.30 cache-hit input rate, the same tier as Anthropic’s Claude Sonnet series. That is a big jump from its predecessor. K2.6 ran roughly $0.95 in and $4 out. K3 is also the most expensive LLM any Chinese AI company has ever released over the past two years, according to the model tracker of China AI Index. K3 averages about $0.94 per Intelligence Index task, clos

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uation Methodology All models are evaluated under their maximum reasoning effort; Terminal-Bench 2.117: we evaluate on our own internal evaluation framework, using Claude Code for Anthropic models, Codex for OpenAI models, and Devin CLI for other models, with timeout=4h; SWE-Bench Multilingual18: we use self-reported numbers when available and evaluate on Devin CLI otherwise; FrontierCode 1.1: see our blog post2 References [1]E. Lu, B. Pan, D. Birlikci, S. Lee, R. Wang, R. Choudhury, F. Ma, TC Q

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ure, finance, or governance is a material vulnerability. This risk is no longer a hypothetical possibility, but a reality. As we have seen recently from export controls imposed on Anthropic’s Fable and Mythos models, access can shift or disappear overnight due to changing regulatory boundaries, export controls, and foreign policies. Collective intelligence serves as the practical hedge against this concentration of power. Sakana Fugu is powered by models trained to be powerful orchestrators with

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Next Qwen3.7 puzzle Next Qwen3.7 Grounding Next Qwen3.7 Coding Assistants Qwen3.7-Plus integrates seamlessly with popular agent frameworks and coding assistants: Claude Code Qwen APIs support the Anthropic API protocol, enabling direct use with Claude Code : npm install -g @anthropic-ai/claude-code export ANTHROPIC MODEL = "qwen3.7-plus" export ANTHROPIC SMALL FAST MODEL = "qwen3.7-plus" export ANTHROPIC BASE URL = https://dashscope-intl.aliyuncs.com/apps/anthropic export ANTHROPIC AUTH TOKEN =

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odel Studio supports industry-standard protocols, including chat completions and responses APIs compatible with OpenAI’s specification, as well as an API interface compatible with Anthropic. """ Environment variables: DASHSCOPE API KEY: Your API Key from https://modelstudio.console.alibabacloud.com DASHSCOPE BASE URL: (optional) Base URL for compatible-mode API. - Beijing: https://dashscope.aliyuncs.com/compatible-mode/v1 - Singapore: https://dashscope-intl.aliyuncs.com/compatible-mode/v1 - US (

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odel Studio supports industry-standard protocols, including chat completions and responses APIs compatible with OpenAI’s specification, as well as an API interface compatible with Anthropic. Example code for chat completions API is provided below: """ Environment variables (per official docs): DASHSCOPE API KEY: Your API Key from https://modelstudio.console.alibabacloud.com DASHSCOPE BASE URL: (optional) Base URL for compatible-mode API. - Beijing: https://dashscope.aliyuncs.com/compatible-mode/

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odel Studio supports industry-standard protocols, including chat completions and responses APIs compatible with OpenAI’s specification, as well as an API interface compatible with Anthropic. Example code for chat completions API is provided below: """ Environment variables (per official docs): DASHSCOPE API KEY: Your API Key from https://modelstudio.console.alibabacloud.com DASHSCOPE BASE URL: (optional) Base URL for compatible-mode API. - Beijing: https://dashscope.aliyuncs.com/compatible-mode/

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odel Studio supports industry-standard protocols, including chat completions and responses APIs compatible with OpenAI’s specification, as well as an API interface compatible with Anthropic. Example code for chat completions API is provided below: """ Environment variables (per official docs): DASHSCOPE API KEY: Your API Key from https://modelstudio.console.alibabacloud.com DASHSCOPE BASE URL: (optional) Base URL for compatible-mode API. - Beijing: https://dashscope.aliyuncs.com/compatible-mode/

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odel Studio supports industry-standard protocols, including chat completions and responses APIs compatible with OpenAI’s specification, as well as an API interface compatible with Anthropic. Example code for chat completions API is provided below: """ Environment variables (per official docs): DASHSCOPE API KEY: Your API Key from https://modelstudio.console.alibabacloud.com DASHSCOPE BASE URL: (optional) Base URL for compatible-mode API. - Beijing: https://dashscope.aliyuncs.com/compatible-mode/

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odels today . Versions of the short conv were first used in recurrent architectures by H3 (in the form of a “shift SSM” which was inspired by the "smeared" induction heads work by Anthropic ) and RWKV-4 (through its “token shift” mechanism), before being popularized in its current form by Mamba-1. The reason it's so commonplace is because previous works have repeatedly shown that short convolutions improve empirical performance as well as theoretically support induction-style retrieval capabilit

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ay 2 3 4 5. Versions of the short conv were first used in recurrent architectures by H3 6 (in the form of a “shift SSM” which was inspired by the “smeared” induction heads work by Anthropic 7) and RWKV-4 8 (through its “token shift” mechanism), before being popularized in its current form by Mamba-1. The reason it’s so commonplace is because previous works have repeatedly shown that short convolutions improve empirical performance as well as theoretically support induction-style retrieval capabi

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tasks. For Claude Opus 4.6 and Sonnet 4.6 we used high reasoning effort and reported the best result from runs across three harnesses: Claude Code, Cascade (Windsurf), and Devin. Anthropic did not report SWE-Bench Pro results for Opus 4.6 and Sonnet 4.6. For Claude Opus 4.5 we used Anthropic’s officially reported results for the 64k thinking setting. For GPT-5.3-Codex and GPT-5.3-Codex-Spark we used OpenAI’s reported results (Codex, Codex Spark). We attempted to replicate GPT-5.3-Codex results

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