Drew Breunig

@dbreunig.bsky.social

My number one tip for teaching younger kids AI is to let them play with local models. Let them change the system prompt, temperature, toggle thinking, and model. Suddenly it's not an abstract intelligence but just software that has a natural language interface.

Natural language is great for one-off tasks, but suboptimal for defining system behavior. Prompt debt creeps in with each small fix, until the prompt is brittle, you're afraid to touch it for fear of regression, and you're locked into one model. www.dbreunig.com/2026/06/22/t...

The Problem is Prompt Debt

The plain-English prompt that makes prototypes effortless turns out to be a poor way to specify how a system should behave, and the bill arrives slowly, disguised as ordinary progress, until the appli...

dbreunig.com

The 3 claims here are both practical and imperative: 1 “Regulation will fail if expertise remains concentrated inside labs” 2 “Open science for AI needs reimagined institutions” 3 “The missing institutions should sit between secrecy and unrestricted release” pgasawa.bearblog.dev/unsafe-ai-or...

Unsafe AI or Consolidated Power: AI’s False Dichotomy

Parth Asawa and Joseph E. Gonzalez We’re excited about AI’s potential to improve society but we’re concerned that the AI community is being polarized into...

pgasawa.bearblog.dev

Everyone building programs with AI needs to now: 1. Be able to swap out models, in short order. 2. Be able to verify, regularly, that your output isn’t silently changing. (You should have been doing this for any production system, with evals, but now there’s no excuse.)

The imperfect and awkward ways Anthropic is using to control how their models are used (with Fable now, OpenClaw a bit ago) is a great example of the imprecision of natural language as an interface. The best model can’t differentiate a bio threat from an innocuous health or research question.

My recent obsession is diversity in LLM outputs, specifically from the frontier models. They are being post-trained so hard for code and agentic use (and to be _reliable_ at these things) that its shaving off the novelty, impacting other tasks. Have you experienced this? If so, how so?