Plausible Is Not the Same as Correct There is a distinction circulating in engineering circles right now that I think deserves more attention than it’s getting. It comes from a piece by @KatanaLarp that’s been making rounds on X, and the framing is sharp enough that I want to expand on it here. LLMs don’t…
The Hidden Cost of AI Scaffolding Debt Most AI engineering conversations are about what to build next. The more interesting question, the one almost nobody is asking, is what to stop building. I keep running into the same pattern. Teams spend weeks on custom orchestration layers, elaborate prompt chains, multi-step retrieval pipelines. Real engineering hours….
The Shareable Unit Just Changed Something Andrej Karpathy posted last weekend has been sitting with me, and I think most of the commentary around it missed the actual point. He shared a gist describing how he’s been using LLMs to build personal knowledge bases, and that part got plenty of attention. But the line that…
The Capability Trap: Why Your LLM’s Confidence Problem Won’t Be Solved With More Data OpenAI just published a study on how 700 million people use ChatGPT. Seven hundred million. That number alone will send half the industry rushing to the same conclusion: collect more, train harder, scale faster. I think that instinct is wrong, and…
Grok Just Broke Language Barriers in Your Feed. Here’s Why That’s a Bigger Deal Than It Sounds. Most of the best content on the internet is invisible to you. Not because it doesn’t exist, but because you don’t speak the language it was written in. That’s been true since the first social platforms went global,…
The API Moat Is Dissolving. Most Product Teams Haven’t Noticed Yet. Mistral just open-sourced a text-to-speech model that runs on 3 GB of RAM. Locally. For free. And according to quality benchmarks cited by George Pu on X (https://x.com/TheGeorgePu/status/2037930340975538184), it beats ElevenLabs. Read that again. The thing product teams were budgeting per-word API costs for…
The Browser Still Thinks It’s 1996 There is a moment in every AI chat interface where the UI betrays itself. The tokens stream in, the text reflows, the layout stutters, and what should feel like a live conversation feels like a webpage loading. That is not a product problem. It is an architectural problem. And…
Model Accuracy Is a Lie You Tell Yourself Before Shipping I used to be the engineer who stayed up until 2am squeezing another 0.3% out of a validation set. I thought that was the job. Then I shipped enough production systems to realize something uncomfortable: the models that got replaced fastest were often the most…
The Context Window Arms Race Is Solving the Wrong Problem Everyone in AI tooling is chasing bigger context windows. Gemini 1.5 Pro hit 1 million tokens. Claude’s window sits at 200k. The marketing around these numbers is relentless, as if raw capacity is the thing standing between developers and a perfect AI coding session. It…
Claude Code Multi-Agent Setup: What Solo Developers Are Actually Unlocking I’ve watched coding assistants get pitched as productivity tools for two years now. Smarter autocomplete. Better suggestions. Faster boilerplate. The framing has been consistent, and honestly, it’s been mostly accurate. Until now. What people are configuring with Claude Code’s multi-agent architecture is something genuinely different….
