From the original source:
arXiv — cs.AI
Read full article at arXiv — cs.AIThis material was compiled from public sources. If its publication affects your rights → Request removal
Teaching Agents to Code Reliably
Autonomous coding agents solve repository issues by reading code, running commands, editing files, and submitting patches. Extra inference-time compute yields gains only when it produces a useful repair and supplies reliable evidence for choosing one. Three behaviors decide…
AI Summary & Key Takeaways
- Autonomous coding agents solve repository issues by reading code, running commands, editing files, and submitting patches
- Extra inference-time compute yields gains only when it produces a useful repair and supplies reliable evidence for choosing one
- Three behaviors decide…
Teaching Agents to Code Reliably
Related stories
Judge dismisses Sam Altman’s sister’s sexual abuse lawsuit
On Tuesday, US District Judge Zachary Bluestone dismissed the lawsuit Ann Altman filed last year alleging that her brother, OpenAI CEO Sam Altman, had sexually abused her throughout her childhood. As reported earlier by The Guardian, the judge wrote that over the last year, Ann…
Anthropic pitches AI safety bill that may block a model if 50+ people could be killed
The proposed policy seems to offer protections against AI run amok but actually forbids federal agencies from blocking a model's release without the permission of a judge.
Hugging Face CEO warns that Netflix’s OpenAI hack documentary isn’t accurate
Before you share the Netflix documentary "AI Gone Rogue" take note. Clem Delangue, Hugging Face's co-founder who is featured in the film, says it went "full doomer mode" and isn't accurate.
Anthropic’s cloud partnerships are getting messy
Anthropic is reportedly struggling to secure enough compute from cloud providers that increasingly view it as a competitor, even as its infrastructure spending balloons ahead of a planned November IPO.