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…AI-native finance platforms, agentic deal execution, and portfolio-scale operating model deployment for sponsors moving from thesis to value. Consumer, industrial, and technology : Function reinvention and agentic build across the industries…
…Nidhi Aggarwal, Chief Product Officer of HackerOne, said, “Claude Sonnet 4.5 reduced average vulnerability intake time for our Hai security agents by 44% while improving accuracy by 25%, helping us reduce…
…Related posts AI & ML Improving token efficiency in GitHub Agentic Workflows Agentic workflows that run on every pull request can quietly accumulate large API bills. Here’s how we instrumented our own…
…Microsoft is telling employees that the decision is about converging on Copilot CLI as its main agentic command line interface tool across Experiences + Devices, but sources tell me the decision is also…
The engineering practices Claude Code and Codex use to improve AI agents
Multi Agent Continuous Context Harness - MACCHA solves the problem that every AI coding session starts from zero. It combines a file-based 7-tier context architecture with a working memory engine (Memanto) that features …
I have been interested in long-horizon coding tasks for a while, especially with benchmarks like FrontierSWE, where even the best coding agents like Codex and Claude Code struggle to complete tasks.These agents come with…
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…
…For the longest time, I relied on Cursor's agentic workflow for development and Perplexity for research. I never fully trusted AI agents to handle everything because they hallucinated too often. When…
…music, and do your taxes Gemini readies agent to drive your Mac and ‘organize your files’ Claude Opus 4.7 launches with coding improvements, but it’s no Mythos Follow Ben: Twitter…
…Eventually, the agent started getting confused. Important instructions began competing with each other, and Claude no longer knew which rules mattered most for the task at hand. This also started affecting my…
…Anthropic later published research suggesting that models from other companies had similar issues with “agentic misalignment.” Apparently Anthropic has done more work around that behavior, claiming in a post on X , “We…
…promptText }], agent: input.agent, model: { providerID, modelID }, }, }); Each sub-reviewer runs in its own OpenCode session with its own agent prompt. The coordinator doesn't see or control what tools the sub…
…Claudius was required to report back via an agent-to-agent Slack channel we created, in which the models discussed business strategies. Cash took on the role of the CEO with great…
