// library · pillar 06
The landscape
Reading model developments; signal from hype.
13 modules
· all six pillars →
2026·09·02 Who was counted 2026·08·27 A flag is not a verdict 2026·07·24 Measurement debt: when belief in AI outruns the proof weekly 2026·07·20 Why the Leaderboard Lies: Reading AI Benchmarks Without Getting Fooled 2026·07·17 The ambition technology: why maximum AI value starts with a bigger ask, not a smaller workload weekly 2026·07·10 Vibe citing: when generation is free, being able to vouch for it is the job weekly 2026·07·07 The tool is not the model: what your AI can do keeps changing under you 2026·07·03 The supervision paradox: why more capable AI means more babysitting, not less weekly 2026·06·26 The imagination gap: when execution is cheap, judgement is the divide weekly 2026·06·19 The rented mind: when intelligence is cheap, memory is the lock-in weekly 2026·06·12 Leading through the dip: the productivity J-curve and the real work of the AI transition weekly 2026·06·12 Colleague or contractor: the two ways to hand work to an AI 2026·06·08 The jagged frontier: why AI aces one task and bombs the next one that looks identical