LLMs
-

XYEval, when AI agents follow bad advice
Google DeepMind researchers have identified a surprising weakness in current AI agents: a…
-

NVIDIA’s Nemotron 3.5 Lightning, a small model for big AI workloads
NVIDIA released Nemotron 3.5 Lightning, a compact, text-only model specifically engineered for high-volume,…
-

Tencent open-sources Hy4 preview, a new 770B MoE for heavy workflows
Tencent released the model weights for Hy4 preview, its new leading Mixture-of-Experts AI…
-

Meta Muse and Muse Spark 1.3, beyond chatbots to personal AI agents
Muse is Meta’s new personal AI agent designed to perform routine digital tasks,…
-

OpenAI’s custom Jalapeño inference chip outperforms Nvidia Blackwell
OpenAI is expanding beyond models and products into the chips and hardware that…
-

The future of labor market in the era of agentic AI
Artificial intelligence is rapidly changing the nature of work. In the emerging era…
-

Baidu’s Unlimited OCR parses 40 pages in one pass
Baidu created Unlimited OCR, an open-source extension of DeepSeek OCR that is able…
-

GenericAgent, a local self-evolving agent
GenericAgent (code, paper) is a self-evolving LLM‑powered agent framework capable of controlling your…
-

Leanstral, an open-source AI for formal mathematical proofs
Mistral AI has introduced Leanstral, a specialized AI coding agent designed to create…
-

llmfit finds perfect LLMs for your PC
Do you want to know which LLMs match your hardware? llmfit, an open-source…