Open-Source AI
Open models — Llama, Mistral, DeepSeek, Qwen and others — are catching up to closed labs and let you run AI on your own hardware, vendor-free. That shifts the balance of power, the safety debate and the economics of the field. Here is everything on open-source AI: open-weight releases, licenses, local deployment and the race against closed models.

Agent Mosaic: LLM Agents Assemble Secrets From Harmless Documents in 7% of Responses
Researchers tested 12 240 agent responses: even GPT-5.6-Sol gives forbidden conclusions in 7.08% of cases, and rules plus classification labels still leave 32.37%…

Quant-Arena: None of 9 LLMs Beat the A-Share Market in 2024
A new benchmark tested nine frontier models on the full quant research cycle. GPT-6 Astra ranked first, but no strategy beat the equal-weighted market on the sealed…

LoopRec Picks Compute Depth for Each Item and Beats Baselines on 4 Backbones
LoopRec makes a recommender model linger only on the hard items in a user's history. It uses one shared block and an exit gate on every loop, and it improves…

RoboCasa-Shift: a benchmark shows where VLA robots break in the kitchen

Qwen-Audio-3.1-ASR: 30 Languages, 16 Dialects, and Diarization in a Single Model

Of 1 598 RL Papers, 37 Made It Into Frameworks: An Audit of Seven Open-Source Stacks

Researchers teach LLMs to adapt to dialect: the CAP method and 10 model families

Agent4Sci: Claude Opus Beats Records on 20 Scientific Benchmarks by 10.4%
The Agent4Sci testbed shows frontier agents beat published records on all 20 scientific ML benchmarks, but they win through engineering tricks, not scientific ideas.

Together AI Launches Post-Training: RL and SFT on B200 at $9 per GPU-Hour
Together AI has opened Post-Training: RL and SFT on dedicated GPUs, LoRA and full weights, and a one-line migration from Tinker. B200 costs $9 per GPU-hour for the…

Strong AI agents hand the move to a human in 80% of cases when the human's path is shorter

SpatialScout: Best VLM Agent Builds Only 41.71% of a Room's 3D Map

Omni-Woodpecker Cuts Hallucinations in Omni-LLMs Without Retraining: +12.9 on CMM

Researchers Explain How JEPA Selects Features: Relationships Matter, Not Lone Features

The End of Openness: Meta Replaces Llama With the Closed Muse Spark Model
Meta stunned the AI community by dropping Llama in favor of the proprietary Muse Spark. The move to a closed model puts thousands of startups at risk and changes…

LLM as Decoder in ASR: Adapting Nvidia's SALM Architecture for Russian-Language Telephony
Kontur adapted Nvidia's hybrid SALM architecture for Russian-language telephony and video conferencing. Instead of a classic cascade system, they used an LLM (Qwen)…









