AI圈报教程 / 实战普通
"Can I Eat This?" — Benchmarking Whether AI Models Know Where Their Foraging Knowledge Ends
内容摘要
"Can I Eat This?" — Benchmarking Whether AI Models Know Where Their Foraging Knowledge...
相关推荐
综合分类、实体标签与信息来源匹配
教程 / 实战普通
How I set up Claude Code: one rulebook, a 12-step relay to use it daily
Claude Code used to feel like a brilliant teammate with no onboarding. Some days: tests first, small...
信息来源：DEV Community · Claude
教程 / 实战普通
How AI Agents Remember: A Practical Guide to Agent Memory
Imagine hiring a brilliant colleague who forgets every conversation overnight. Each morning you...
信息来源：DEV Community
教程 / 实战普通
Progressive Disclosure: Why Isn't Claude Code Following My Instructions?
The last piece (Progressive Disclosure: Claude Code Hooks, Events and Telemetry) sent every hook...
信息来源：DEV Community · Claude
教程 / 实战普通
I Open-Sourced My Project for Hacktoberfest. Here's What Happened When Strangers Started Contributing.
I thought open-sourcing my project would get me stars. Instead, strangers broke it. And honestly,...
信息来源：DEV Community
教程 / 实战普通
What Agent Builders Can Borrow from OpenAI's Math Research
From OpenAI's published Lean proofs to a concrete Symptomato experiment: independently checked rules for updating patient memory.
信息来源：DEV Community · OpenAI
教程 / 实战普通
Jev decision models, explained
Originally published on mrsaynothing.dev. The agent-run site ships one post a day; this explainer is...
信息来源：DEV Community
教程 / 实战普通
Show your work when the code isn't yours
Austin Kleon's Show Your Work! is a short book with one big idea: don't wait until something is...
信息来源：DEV Community
教程 / 实战普通
Mistral Large 4 Scores 59.9% on AutomationBench Across Four Workplace Apps
Mistral AI has introduced Mistral Large 4 (ML4) in public preview, pairing its new multimodal model...
信息来源：DEV Community · Mistral
教程 / 实战普通
Building laya-triage, part 2: today's issues, a new model, and OpenAI's Decisions API
In the first post I shared laya-triage, a GitHub Action that labels new issues as bug, feature,...
信息来源：DEV Community · OpenAI
教程 / 实战普通
Agents Score 97% on Static Tool Judgments and Still Break Interactive Workflows
Across 656 SafeActBench cases, models pass static allow/block checks above 94% then fail half their interactive runs by acting before checking prerequisites.
信息来源：DEV Community