I used to watch Claude Code stream paragraphs of “Let me think about this carefully…” before every answer. Polite. Thorough. Also expensive. Then I found…
I migrated a Next.js chat endpoint from the raw OpenAI SDK to Vercel AI SDK v5. Here's the before/after code, where it wins, and where…
Why LLMs fail at spatial tasks isn't always about model size. The input format matters more than you'd expect, and here's what to do about…
Last updated: June 2026. TL;DR AirLLM technically runs 70B-parameter language models on 4GB of RAM through layer-by-layer inference and disk offloading. It does work, but…
New numbers on iterative LLM self-repair: where extra tries earn their keep, where they quietly waste tokens, and the retry loop I'll actually defend.
A new paper tested 8 reasoning models with 14 formatting perturbations. Open-weight models lost up to 55% accuracy. Here's what that means for production use.
A practical look at which new open-weight LLMs you can actually run on a single workstation with llama.cpp in 2026, and which ones are just…
New research scores 263 tasks across four LLMs. Math and coding top the automation list, but the jobs most exposed to AI demand the opposite…
New research shows LLM API testing misses how chatbots actually behave. Here's what the data says about the gap and how to fix your eval…
LLMs claim massive context windows but choke on long number sequences. A training-free trick called SepSeq fixes attention dispersion and boosts accuracy 35%.