Ideas, observations,
and honest takes.
No hype. No tools-of-the-week. Observations from someone who uses AI in production work every day and cares whether the take is accurate.
The Better You Are at AI, the Less You Catch Its Mistakes
A study of 1,339 teachers found the most tech-fluent reviewers deferred to wrong AI the most. Fluency is quietly becoming a liability.
Stop Asking If AI Will Replace Your People
Every executive is running the wrong threat assessment. The question isn't whether AI will take jobs. It's whether AI will make your people's expertise worth more or worth less.
The Skill Your Best People Are Losing
Everyone is measuring whether AI made your team faster. The question that matters is whether it is quietly making them worse at the thing they handed over.
The cheapest output AI gives your team is confidence
The heaviest AI users on your team feel like the experts. A new UC Irvine study says they are the ones learning least.
Who's Actually In Your AI Data
Every confident statistic about how AI is reshaping work is partly a statistic about who shows up in the conversation logs.
What if Anthropic chose Albania as a research hub?
ChatGPT to Malta is a press release. Anthropic to Albania would be a thesis — the first country on earth where you could watch an AI-native generation become itself in real time.
Stop asking Claude if your plan works. Ask how it failed.
The prompt Anthropic product teams reportedly run before shipping flips Claude from defending your plan to populating its failure.
The AI you audit is not the AI they ship
When humans watch a language model, it shifts register. Your governance committee meets one version. Your team meets another.
Your team's thinking time collapsed. The output looks identical.
A new USC study: with an LLM, programmers had the same ideas in their solutions. They just stopped thinking before they wrote.
When AI Fails Politely, Humans Fail Quietly
Field-tested at Alibaba: when agentic AI hands off a frustrated customer, the human worker quietly disengages instead of stepping up.
Your AI rollout has a system problem, not a skill problem
Microsoft surveyed 20,000 knowledge workers. Two thirds of AI's impact comes from the system around the worker, not the worker. Most rollouts forget this.
AI writes the goal. You won't do it.
AI writes objectively cleaner goals than the people who use it. Those same people then quietly stop acting on them.
The humans got harder to talk to
Three weeks with a sycophantic chatbot, and people are as likely to ask the model for personal advice as their closest friends — and less satisfied with the humans in their lives.
AI is not a colleague
Putting an AI on the org chart does not improve adoption. It quietly slides accountability off the human who built the work.
The human-in-the-loop fiction
Putting a human in the loop isn't a safeguard. It's a stage on which the AI performs.
Stop performing AI literacy
The signal that someone is actually fluent isn't their vocabulary. It's their patience.
The five prompts I use every morning
A practitioner's real workflow — not the one on LinkedIn.
Why I stopped caring about model benchmarks
Benchmarks measure the model. I care about what happens after the prompt.
What "good at prompting" actually means
It's not a technical skill. It's a communication skill. The distinction matters more than you'd think.
The gap is communication, not code
The actual barrier to AI fluency isn't access. It's articulation.
Ideas, observations,
and honest takes.
No hype. No tools-of-the-week. Just the work, explained clearly, from someone who uses this every day and cares whether it is accurate.
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