Practical AI skills for people whose job isn't AI. Most posts end with a drill, because reading about a skill isn't having one.
Courts and regulators have settled this faster than most workplaces have: the organisation that deployed the tool owns what it did. Here's what that means for the person who pressed go.
6 min read
Stanford data shows entry-level jobs in AI-exposed roles have fallen 16% since 2022. At companies investing heavily in AI, they're up 12%. The gap isn't about industry or budget — it's about one question: are we using AI to cut costs or build capacity?
4 min read
Uber exhausted its 2026 AI budget in four months. Sam Altman says enterprise cost complaints are now 'a meme.' The root cause isn't reckless spend — it's deploying always-on agents for tasks a single prompt could handle. Here's the three-tier framework that fixes it.
5 min read
Professional judgement was built by years of doing work that AI now does in seconds. Nobody misses that work — but the training it provided was real, and something has to replace it.
6 min read
Charity Majors identified why AI disagreements stay unresolved on most teams: there's no natural feedback loop between the person who moves fast with AI and the person who deals with the quality failures. Here's how to build one.
5 min read
Fluency and accuracy are unrelated in AI output, and human error-detection is tuned almost entirely to fluency. Here are the tells that survive that mismatch, and the ones that don't.
5 min read
Ethan Mollick's new 'Co-Existence' frame replaces 'use AI more' with a harder question: on this specific task, right now, is AI actually better than you? The answer determines how much supervision you apply — and whether your own skills are quietly eroding.
4 min read
Uber blew its annual AI budget in months. Simon Willison's $200 subscription runs $2,180 in compute. Anthropic's revenue went 5x in five months. If your team budgeted for AI tools in Q4, those numbers are already wrong — here's how to reset them.
4 min read
Research published last week showed frontier AI models disagree with each other on 67% of real-world fact-checking claims — 77% in legal contexts, 71% in health. A second model isn't verification. It's a second opinion that contradicts the first most of the time.
5 min read
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