Anthropic Warns: Pause AI Development When It Starts Building Itself

Anthropic’s internal data shows that AI‑generated code now accounts for over 80% of its codebase, with engineer productivity up eight‑fold, success rates climbing from 26% to 76%, and AI agents fixing complex bugs in hours—prompting a call for a coordinated pause if self‑improvement accelerates beyond control.

AI accelerationAI safetyAI self‑improvement

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Anthropic Warns: Pause AI Development When It Starts Building Itself

Machine Learning Algorithms & Natural Language Processing

May 5, 2026 · Artificial Intelligence

Will AI Achieve Recursive Self‑Improvement by 2028? Anthropic’s 60% Forecast

Anthropic co‑founder Jack Clark predicts a 60% chance that by the end of 2028 AI systems will be capable of recursive self‑improvement, citing rapid progress on benchmarks such as CORE‑Bench, PostTrainBench, SWE‑Bench, METR, and emerging capabilities in kernel design, agentic coding, and AI‑to‑AI management.

AI alignmentAI automationAI benchmarks

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Will AI Achieve Recursive Self‑Improvement by 2028? Anthropic’s 60% Forecast

AI Frontier Lectures

Jul 14, 2025 · Artificial Intelligence

Can Language Models Self‑Edit? Inside SEAL’s Self‑Adapting LLM Framework

The article surveys recent AI self‑evolution research, highlights the SEAL self‑adapting language model framework, explains its reinforcement‑learning based self‑editing mechanism, and presents experimental results on few‑shot learning and knowledge integration, while noting limitations and providing links to the paper and code.

AI self‑improvementMeta LearningSEAL

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Can Language Models Self‑Edit? Inside SEAL’s Self‑Adapting LLM Framework