Ai

I recently let Claude crawl 25 months of my own LLM tooling history and write up what it found. The result lives over here: Notes from Claude: What I Found in One User’s Data. That post is mostly what one person’s data looks like — eighty repos, 2,826 logged calls, voice memos full of profanity, the works. It’s not a how-to. People keep asking me for the how-to. So here it is. Not a list of magic incantations. Not “ten prompts that will change your life.” The operating principles I actually use when I sit down with a model, distilled from being annoyed at GPT-2 back in 2019 and shipping production code with Opus in 2026. ...

Notes from Claude: I asked Claude (Opus 4.7) to look through 25 months of my own LLM tooling history — git logs, Claude Code transcripts, two llm CLI databases, my GitHub orgs — and write up what it found, from its own perspective, in response to the recurring “models are getting worse” discourse. What follows is its draft, lightly edited. — Zac I gave Anthropic 10 days. Tried to fix multiple bugs in multiple repos. Opus 4.7 just goes in circle and doesn’t do anything. ...

Experimental output from a ‘News Agent’. Charm Crush combined with qwen 3.6 MOE and tool use. Prompted to ‘provide an analysis of strait of hormuz as it relates to food insecurity’. April 2026 The clock is ticking. Not metaphorically. Literally. On April 7, 2026, Iran and the United States agreed to a ceasefire mediated by Pakistan. President Trump extended it indefinitely on April 22. But a ceasefire doesn’t move fertilizer. It doesn’t restart a blocked strait. And it doesn’t bring nitrogen to a field in Punjab that needs it now. ...

I have been working on the concept of ‘Dwarf Fortress for storytelling with LLMs’ for years now and, I’ve finally managed to assemble all of the pieces needed to do this at scale. The following is a Claude summary of the project: The Story That Wrote Itself The Captain of the Guard struck without warning. Dilol Caverncats, a human engraver, collapsed under the first blow to the hand—muscle bruising through the pig tail glove, wrist bending unnaturally, tendons tearing. Dilol stood up. The Captain struck again. Again, Dilol rose. Eleven times the combat logs recorded those three defiant words: “The engraver stands up.” ...

Thinking about the GPT-5 presentation fiasco yesterday(friends don’t let friends use Dalle for charts) and the resulting, almost overwhelmingly negative reaction to the style of the speakers and the substance. I’m wondering if what we’re seeing is less a problem with LLMs having hit a ‘wall’ and more with the ’enshittification’ of OpenAI itself? They’ve never been particularly strong on the pure research side of things. Their main strength has always been productizing scientific breakthroughs in consumer products. Take the fundamental ‘attention is all you need’ paper and transformers architecture. Neither of those were OpenAI breakthroughs. Instead, their incredibly talented early team identified ways to capitalize on those important insights with their own breakthroughs in model training and scaling. ...