A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, and the scientists making these models. The human ...

Qwen3-Coder-Next is a great model, and it's even better with Claude Code as a harness.

As AI deployments scale and start to include packs of agents autonomously working in concert, organizations face a naturally amplified attack surface.

AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

Abstract: Large Language Models (LLMs) are widely adopted for automated code generation with promising results. Although prior research has assessed LLM-generated code and identified various quality ...

Discover Claude Opus 4.6 from Anthropic. We analyze the new agentic capabilities, the 1M token context window, and how it outperforms GPT-5.2 while addressing critical trade-offs in cost and latency.

As LLM applications evolve, conversation flows become increasingly complex. Conversations may branch into multiple paths, run in parallel, or require summarization across different threads. Managing ...

The code (as well as the README) of Claude Code Mate is mainly vibe coded by Claude Code, with some adjustments and enhancements made by the author. 🤖 The models ...