Before we started this research, it was not clear where the misaligned behavior was coming from. Our main two hypotheses were: Our post-training process was accidentally encouraging this behavior with misaligned rewards.This behavior was coming from the pre-trained model and our post-training was failing to sufficiently discourage it. We now believe that (2) is largely responsible. Specifically, at the time of Claude 4’s training, the vast majority of our alignment training was standard chat-based Reinforcement Learning from Human Feedback RLHF data that did not include any agentic tool use. T
Teaching Claude why…Anthropic describes how memory and dreaming work together to improve Claude Managed Agents: Together, memory and dreaming form a robust memory system for self-improving agents. Memory lets each agent capture what…
…This “dreaming” aspect sorts through the transcript of what an agent recently completed and attempts to glean insights to improve the agent’s performance. Folks using AI agents often send them on…
The AI startup says “dreaming” will allow Claude to review previous sessions to “find patterns and help agents self-improve.” This feature, which is rolling out in research preview, is supposed to…
… We found consistent, surprising improvements from iterating on the quality of model responses in training data, and from augmenting training data in simple ways for example, including tool definitions, even if not used . Why does agentic misalignment happen? …
Data is “the new oil” for AI.What if you could “plug in” to an oil well, and get royalties forever whenever that well’s oil was used?Right now, the people who build those datasets get paid once, if at all. There's no rec…
Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder. Why was claw-coder created? Answer: To solve th…
Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder.Why was claw-coder created? Answer: To solve the…
Hi HN! I'm Tanya, a product manager who is building ClueDay - a daily clue-based word game.I grew up playing Scrabble and Taboo, and the NY subway has brought the word games habit back.Stack: Lovable for the first draft,…
Hi HN,Ralphy is a tool that runs Claude Code in an autonomous loop overnight: you queue up tasks, and it works through each one to completion (plan → execute → validate → iterate → commit to a branch) unattended.I built …
…agent from Settings > Copilot > Cloud agent . Jun.01 Release Evaluation models in auto for individual plans copilot Jun.01 Release Updates to GitHub Copilot billing and plans copilot May.29 Improvement Copilot…
…The idea is that, between active work sessions, a scheduled review process can potentially help agents improve before the next session. It can spot recurring mistakes, identify workflows that agents tend to…
… Also, he recommends, start doing agentic red teaming against your organization to proactively find flaws and misconfigurations. …
… Some of these products include computer use as a feature, among other agentic abilities. …
… This suggested there were some common sense improvements and edge cases that the harness could handle to further refine the app. …
Back to changelog Rubber Duck , the cross-family review agent in GitHub Copilot CLI , is now available using a Claude-powered critic agent when your session is using a GPT model. For…
