发布日期：2026-08-17
收录条目：5
1. OpenAI reportedly disbanded its preparedness team
- 来源：The Verge AI
- 发布时间：2026-08-16 21:32 UTC
- 链接：https://www.theverge.com/ai-artificial-intelligence/980817/openai-disbands-preparedness-team
摘要：According to the Financial Times, OpenAI disbanded its preparedness team at the end of last month. The job of the preparedness team was to assess if models posed serious risks and develop ways to mitigate those risks. (Y
2. ChatGPT’s Computer History tracks your clicks and keystrokes
- 来源：The Verge AI
- 发布时间：2026-08-16 14:56 UTC
- 链接：https://www.theverge.com/ai-artificial-intelligence/980742/chatgpts-computer-history-tracks-your-clicks-and-keystrokes
摘要：ChatGPT's desktop app on macOS has a new feature called Computer History that turns your actions into training data, learning how you work, suggesting automations, and even picking up tasks you left half done. It uses yo
3. Rogue AI aren’t science fiction anymore
- 来源：The Verge AI
- 发布时间：2026-08-16 12:00 UTC
- 链接：https://www.theverge.com/column/980337/rogue-ai-science-fiction-openai
摘要：This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more on AI safety, follow Robert Hart. The Stepback arrives in our subscribers' inboxes at 8AM ET. Opt in for The Stepb
4. Have a laugh at AI’s expense by roleplaying as a chatbot
- 来源：The Verge AI
- 发布时间：2026-08-15 20:45 UTC
- 链接：https://www.theverge.com/entertainment/980502/roleplay-as-an-ai-chatbot
摘要：Your AI Slop Bores Me is brilliant in its simplicity. There are two tabs: human and LARP as an AI. On one side you enter a request. On the other, you submit an answer. But the important thing is that there's a human on b
5. Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquila-SFT and Qwen3
- 来源：MarkTechPost
- 发布时间：2026-08-15 11:28 UTC
- 链接：https://www.marktechpost.com/2026/08/15/fine-tuning-tool-calling-llms-a-complete-guide-using-xyz-aquila-sft-and-qwen3/
摘要：Implement an end-to-end fine-tuning pipeline for tool-calling language models. This tutorial covers parsing trajectories, structured tool-call extraction, Qwen-compatible ChatML rendering, and efficient LoRA adaptation u