Models & Research
NVIDIA Is Targeting the RL Training Loop
NVIDIA and Ineffable Intelligence are pointing the model race toward RL infrastructure for agents that learn from experience.
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Models & Research
New model releases, benchmarks, evaluation methods, and research results.
Models & Research
Gemini File Search shows RAG is learning to read images
Google added multimodal retrieval, metadata filters, and page-level citations to Gemini API File Search, moving RAG closer to an operational layer for agents.
Models & Research
Gemma 4 starts reading ahead for local AI
Google released MTP drafters for Gemma 4, promising up to 3x faster inference. The bigger story is local LLM latency.
Models & Research
MiniMax M2.7 brings self-evolving training to low-cost agent models
MiniMax M2.7 uses a self-evolution loop around OpenClaw, activates only 10B of 230B parameters, and challenges premium coding models on price, benchmarks, and licensing.
Models & Research
Claude Mythos Preview turns zero-day discovery into a controlled-release problem
Anthropic is limiting Claude Mythos Preview to Project Glasswing partners after reporting large jumps in autonomous vulnerability discovery, exploit chaining, and cyber safety risk.
Models & Research
Stanford AI Index 2026 shows the paradox of 53% adoption and 40-point transparency
Stanford HAI published the AI Index 2026 report: generative AI reached 53% global adoption in three years while model transparency fell from 58 to 40.
Models & Research
Meta Muse Spark closes the Llama open-weight chapter
Meta launched Muse Spark as its first proprietary frontier model after Llama 4 lost trust, shifting MSL toward closed weights, Meta-scale distribution, and unclear developer access.
Models & Research
Microsoft launched three MAI models in one day, and OpenAI dependence is no longer the default
Microsoft released MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 across speech transcription, voice generation, and image generation, turning its OpenAI backup plan into a product stack.