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.
Kimi releases PerceptionBench: none of 16 MLLMs reaches 60%
Moonshot released a 3000-question benchmark where the answer is visible to the eye. None of 16 top multimodal models scored 60%, and hallucinations are the weakest…
IF-MAP Finds Which Agents to Improve: Twice the Accuracy Gain
IF-MAP ranks agents in an LLM system by improvement potential: +3.81 pp from prompt optimization vs 1.85 with uniform selection, and up to 65% token savings.
Design Anything Keeps the Brief Intact in Large Projects: +25% Across 24 Artifacts
Design Anything's graph harness stores the designer's intent outside the model. With GPT-5.6 Sol High it satisfies 92.5% of brief constraints, and at 24 artifacts…
NVIDIA RTX Spark N1X Runs a Local Qwen3.8 27B Agent in 18.7 Minutes
Vera Rubin NVL72 beats GB300 by up to 5.7x in tokens per megawatt in AA-AgentPerf
NVIDIA releases Nemotron 3.5 Super: 26 AA points and 630 tokens/s
Apple's LensVLM compresses long agent context into images and teaches the model to "zoom"
SAE-IDF Matches Symbols Across Different Systems and Beats a Baseline by Up to 45 Points
SAE-IDF uses sparse autoencoders to match elements across heterogeneous symbolic systems. It beats a dense baseline on 12 tasks with Gemma-2-9B, winning by up to 45…
ReaDy speeds up hybrid LLM decoding 3.16x on a single B200
ReaDy feeds the recurrent states of hybrid linear models into a speculative drafter, averaging a 3.16x speedup on Qwen3.8-27B and a single B200.
KANLab: A TensorFlow Playground Fork That Shows KAN Training in the Browser
Google Uses Gemini 4 Argon to Refactor Chromium and Its Millions of Lines of Code
Gemini 4 Argon Teaches Apollo 2 Humanoid to Play Cornhole: 7 Hits in a Row
Meta Brings Muse Wonder to the Enterprise AI Agent Market, but Trust Stands in the Way
AI Speeds Up Coding, but Productivity Isn't Rising: What DevEx Metrics Explain
Teams expected 3–4x output, yet in METR's experiment experienced developers using AI worked 19% slower. Why DORA and SPACE don't explain this, and how DevEx fills…
Alibaba's Qwen-Image-2.1: 7 Billion Parameters, 2K Output, and It Runs on a 16 GB MacBook Air
Qwen released Qwen-Image-2.1, a 7 billion-parameter diffusion transformer with output up to 2K. Enthusiasts already run it locally on a 16 GB MacBook Air with no…