A dedicated publishing area for weekly AI signal: commentary, public opinions, and practical analysis for professionals making decisions.
March 15, 2026
An agent that fails silently is more dangerous than one that fails loudly. A circulating infrastructure post buries its best insight under a generic headline.
March 15, 2026
Anthropic's 94/33 gap — theoretical AI exposure versus real-world deployment — reframes the timeline question. The rest of the piece doesn't hold up as well.
March 15, 2026
A ten-principle agent framework gets the architecture right and the priorities wrong. Two principles earn their keep. The rest need a deployment context.
March 15, 2026
The AI apps you use daily are the worst investments in the stack. The real margin sits three layers down. One piece names this directly — then overreaches with a historical analogy.
March 15, 2026
Tane's 'slop creep' piece names the real failure mode: plausible bad output arriving faster than any review process was designed to catch. The scope claim doesn't follow.
March 11, 2026
Sarah Sachs names the distinction between frontier and saturated AI tasks that the whole market is mispricing. Her playbook for exploiting it requires Notion-scale leverage most companies don't have.
March 11, 2026
HBR's 'AI brain fry' research identifies a real cognitive load problem — then blames the humans for checking too much instead of asking why the tools require it.
March 11, 2026
NVIDIA's five-layer AI infrastructure model is genuinely useful — right up until you notice which layer in the cake is sold by the company drawing the diagram.
March 11, 2026
When building is free, bad ideas don't die on the whiteboard anymore. Harrison Chase names the problem — then builds his argument on a claim he never tests.
March 11, 2026
Alfred Lin drops a 3-5x vs 10-20% productivity gap and moves on to an Ender's Game metaphor. The number is the story. The metaphor is the distraction.
March 11, 2026
Post-training a model against a specific harness creates overfitting to that harness. Most teams are betting on the lab's default environment without realising it's a bet.
March 11, 2026
Nikunj Kothari's rising-floor thesis explains the talent market better than most. His explanation for who hasn't kept up explains the startup ecosystem better than the people in it.
Subscribe to the AI Primer Briefing for weekly commentary on what is happening in AI and what it means for your work.
Signups are currently unavailable.