ABOUT THIS FEED
AIModels.fyi is a curated resource for tracking the release of new AI models, tools, and datasets. Its Substack RSS feed provides digest-style newsletters that summarize the latest in machine learning research and open-source projects. The platform focuses on making it easier for practitioners and enthusiasts to discover and follow emerging models across natural language processing, computer vision, generative AI, and reinforcement learning. Each post aggregates relevant updates, links, and context, saving readers time compared to browsing multiple sources. The writing is concise yet informative, appealing to developers, researchers, and students who want a quick overview of cutting-edge developments. With a few posts per week, the feed is highly practical for staying on top of the rapidly expanding AI ecosystem without information overload.
- OpenAI launches GPT-6 Astra
Biggest gains coming from agents that can actually finish work
- Transcripts aren’t memory
VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction
- Can evolutionary search train long-horizon agents without the usual GPU-heavy RL machinery?
Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirements
- Model Highlights: Muse-Glimmer-30B
A distillation of Muse Spark and optimized for local deployment
- Model Highlights: MiniMax H3
The omni-modal video & audio generator
- Why is your model being careful with email bodies but reckless with bank accounts?
Beyond Aggregate Risk: Role-Stratified Conformal Risk Control for LLM Tool Calls
- Model Highlight: Laguna S 2.1
A new heavyweight for agentic coding?
- Why force models to compute knowledge when they could just look it up?
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
- Why build a bigger model when you can just loop twice for twice the power?
LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling
- Can an AI agent run the entire scientific method without human supervision?
Toward Generalist Autonomous Research via Hypothesis-Tree Refinement