AI News Sources for 2026
A short list of news sites, blogs, and newsletters worth following for AI developments in 2026.
Research
Where concepts and jargon originate.
arXiv (cs.AI, cs.LG, cs.CL) — skim titles and watch for recurring phrases: tool use, planning, self-reflection, memory, world models. If the same idea shows up in multiple papers, pay attention.
BAIR Blog — strong on agents, robotics + LLM hybrids, and grounded evaluation. High signal, minimal hype.
DeepMind Blog — good for long-horizon reasoning, planning, and agent framing before it gets popularized.
Builders
Where techniques become usable.
Simon Willison’s Blog — experiments, terminology clarification, practical tool coverage.
Weights & Biases Blog — evals, agent benchmarking, prompt and tool debugging. Less hype, more “why this broke.”
Lilian Weng’s Blog — deep dives on agents, memory, planning, and evaluation. Less active, but the archive is worth reading.
Industry
The Batch — one of the few newsletters that consistently separates signal from noise. Good at trend compression.
SemiAnalysis — compute constraints, model economics, infrastructure.
Community
Noisy, but useful if you’re disciplined.
r/LocalLLaMA — what serious tinkerers are running locally: agent frameworks, quantization tradeoffs, tooling hacks.
Latent Space — ecosystem mapping. Skim, don’t binge.