BitNet and the End of the GPU Requirement I’ve been watching quantization research for years. The pattern has always been the same: you shrink the model, you pay for it in accuracy. The tradeoff felt like physics. You want a model that fits in memory? Fine, but expect your benchmarks to slide. Running inference on…
The Green Screen Is Dead. MatAnyone 2 Just Buried It. For decades, video production has carried around a piece of infrastructure that exists purely because software wasn’t good enough. The green screen. Entire studios built around it. Entire workflows warped by it. Lighting rigs, fabric panels, spill suppression techniques, trained operators. All of it, just…
The Blast Radius Problem Nobody Wants to Talk About Amazon is holding mandatory meetings. The internal briefing describes a trend of production incidents caused by “Gen-AI assisted changes” with what it calls “high blast radius.” And buried in that same briefing is a phrase that should make every engineering leader sit up straight: “best practices…
The Blast Radius Problem Nobody Wants to Talk About Amazon is holding mandatory internal meetings about AI-generated code causing production incidents. The briefing note, surfaced publicly this week, describes a pattern of incidents with “high blast radius” caused by “Gen-AI assisted changes” and includes this sentence: “best practices and safeguards are not yet established.” That…
Anthropic Just Told Us What Claude Is Actually For Most people read the release of a 33-page technical playbook and think “documentation update.” I read it and thought: this is a positioning move. Anthropic just told us, in explicit terms, how they want engineers to think about Claude going forward. Not as a chat interface….
Model Routing Is an Engineering Decision, Not an Afterthought Most engineers pick a model the way they pick a code editor. Once. Then they stop thinking about it. Maybe they upgrade when a new version drops, but the mental model stays the same: one tool, all tasks, forever. I’ve been doing this differently for about…
The Part of ML Research Nobody Talks About Most of the commentary around Andrej Karpathy’s new autoresearch repo is missing the point entirely. The repo, roughly 630 lines of code on a single GPU, runs LLM training in an autonomous loop. The agent picks architectures, tunes hyperparameters, commits code, and iterates again without a human…
Karpathy Just Automated the Research Grind Andrej Karpathy dropped a repo this weekend that I keep coming back to. Not because it’s flashy, not because the demo video went viral, but because it quietly describes a different way of doing ML work. The project is called autoresearch, and it is exactly what it sounds like:…
The Hardest AI Problem Isn’t the Model. It’s Knowing When to Stop. Most teams building agentic AI systems are focused on the wrong problem. They spend weeks on prompt engineering. They benchmark models. They agonize over latency. And then they ship an agent that loops forever, or halts too early, or confidently hands back a…
Claude Code Just Changed What an AI Coding Tool Actually Is Anthropic shipped a feature called /loop for Claude Code this week, and most of the coverage I’ve seen treats it like a quality-of-life improvement. It isn’t. It’s a category shift dressed up as a feature release. Here’s what it does: you schedule a recurring…
