Browse coverage by area. Each topic gathers all news and blog posts under that lens.
Releases, benchmarks, and the unspoken capability gaps between flagship systems.
Notable arXiv drops, replication notes, and what the field is actually learning vs. claiming.
Weights, fine-tunes, runtimes, and the projects keeping the field auditable.
GPUs, accelerators, datacenter buildouts, fabs, and the supply lines that gate everything else.
SAEs, circuits, mech interp — what's actually inside the models we use.
Safety research, post-training methods, and the harder open problems.
Tool-using systems, autonomy, and what works vs. what's still demoware.
Vision, audio, video, embodied — beyond text-only.
Foundation models meet physical actuation. What's deployable today and what isn't.
Real regulatory developments, not panic cycles. Source-cited.
Funding, M&A, partnerships, and the structural shape of the AI industry.
Frameworks, SDKs, IDEs, evals, and the tooling layer between models and products.