3 newsletters, ranked by editorial quality and how recently they published. Looking for something more specific? Search instead.
Ivan Zdravkov publishes pre-registered AI experiments with transparent gates and reported numbers, covering LLM-as-a-judge reliability, API versus local model economics, and continual learning with EWC. The newsletter explains what each experiment tested and what its results do and do not show.
Diwaker Gupta's newsletter collects first-person notes on technology, leadership and hiring, including hands-on experiments running local LLMs on a used RTX 3090 Ti and reviews of the Clawdbot agent project. Readers get practical benchmarks, candid learnings from failed attempts, and reasoned takes on opportunistic hiring at startups.
A hands-on blog-style newsletter by a Python developer documenting how to run Qwen 3.6 models locally on consumer hardware, covering GPU drivers, CUDA, WSL versus native Windows, and the Pi open-source coding agent. Readers get concrete setup steps, hardware trade-offs, and practical notes on using local models for coding.
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