Most hypotheses suggest that earlier forms of life had partial genetic codes and used fewer than 20 amino acids. To test ...

The system prompt for OpenAI’s Codex CLI contains a perplexing and repeated warning for the most recent GPT model to “never ...

Prompt engineering keeps adding new techniques. One is the String Seed-of-Thought (SSoT) that aids options-choosing, game ...

For years, the cybersecurity industry has spoken about AI attacks in the future tense. We imagined sentient super-hackers ...

Malicious browser extensions disguised as TikTok downloaders compromised 130,000 users, exposing a growing blind spot in ...

Check Point researchers have found that popular AI coding assistants are unintentionally leaking sensitive internal data, ...

Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up ...

Anthropic’s Claude Code leak reveals how modern AI agents really work, from memory design to orchestration, and why the harness matters more than the model.

The leak provides competitors—from established giants to nimble rivals like Cursor—a literal blueprint for how to build a high-agency, reliable, and commercially viable AI agent.

LatticeQuant is a research framework for KV cache compression in large language models, combining lattice quantization theory, directional distortion analysis, and attention-aware bit allocation.

Why can some messages be compressed while others cannot? This video explores Huffman coding and Shannon’s concept of entropy, showing how probability and information theory determine the ultimate ...

Anthropic launches AI agents to review developer pull requests. Internal tests tripled meaningful code review feedback. Automated reviews may catch critical bugs humans miss. Anthropic today announced ...