Anthropic (@AnthropicAI): New Fellows Research: Can Claude autonomously align other AIs? We gave Claude 48 hours and 1 GPU to improve the alignment of small models. It researched and proposed methods, then trained and tested…

A researcher trained a small transformer in 1.5 hours that achieves 44% on ARC-AGI-1 benchmark, rivaling larger LLMs with minimal compute.

Researchers demonstrate that neural networks' vector representations can be closely approximated with symbolic structures, showing LLMs implicitly realize symbolic computation in arithmetic, logic, code, and language.

AI agents can now generate security exploits from just rumors of bugs, rendering traditional security embargoes ineffective as attacks precede patches.

Researchers introduce SCILAWS-BENCH, a benchmark with 118 problems across six disciplines to evaluate LLMs' ability to discover scientific laws from real data and synthetic hidden laws.

Detailed technical guide on diffusion language models, explaining their architecture, advantages over autoregressive models, and implementation techniques for text generation.