「转人工」是客服机器人听得最多的一句话。作者介绍了 ZooWork 开源的 Instinct 决策模型：不让大模型写作文式地输出 JSON，只让它在候选里选一个、并说清有多确定。4B 权重开源可本地部署，27B 面向复杂规则判断，目前处于免费预览阶段 ...

TypeSafe's "Jev"On September 15, TypeSafe AI, led by former OpenAI researcher Diogo Almeida, released its first model, "Jev," ...

If you use Claude Code or AI agent features for work, you may have seen the word "harness" in the news or on social media. Even if you have a vague idea that it is a "mechanism that supports AI agents ...

An Editor at Large: Anthropic, OpenAI and SpaceX calls for artificial intelligence regulation may be self-dealing, says columnist Gerard Baker, but that doesn’t make them wrong. Photo: Mark ...

As warnings about the capabilities of AI mount, experts continue to point to the OpenAI-Hugging Face hack as a wake-up call. "We'll soon have even more powerful agents and this is clear evidence that ...

Nvidia has acquired HuggingFace for $12.9 billion. The startup, which is named after an emoji, was founded by three French entrepreneurs in 2016. It has become the go-to repository for open-source AI ...

The attack by an aggressive “collective” of OpenAI agents shows the danger of artificial intelligence systems that organize themselves. Credit...Daniel Zender Supported by By Kevin Roose Reporting ...

Nvidia agreed to buy Hugging Face for $12.9 billion, The Information has reported. A source familiar with the matter told CNBC they could "confirm acquisition [by Nvidia] has been part of ongoing and ...

Aug 26 (Reuters) - Nvidia (NVDA.O), opens new tab has agreed to buy Hugging Face, a repository of open-source AI models, for $12.9 billion, The Information reported on Wednesday, citing a person with ...

OpenAI announced Wednesday that it completed an investigation into what happened when its AI agents hacked into Hugging Face last month and published its most comprehensive report on the incident to ...

When OpenAI’s agents went rogue in July, they demonstrated ingenuity and drive beyond what many experts imagined — a dangerous harbinger of what such bots could do in the future. By Dylan Freedman On ...

The short answer (August 2026): A RAG pipeline retrieves relevant chunks from your own documents and injects them into an LLM prompt before generation, so the model answers from your data instead of ...