Ideas Weave Every Narrative with AI.
Traditional PMs manage predictable systems. AI PMs manage probabilistic ones. The skill that separates the hired from the rejected isn’t coding or AI jargon — it’s the ability to build an evaluation system that defines acceptable failure in a product that will inevitably fail. Most interview prep is useless. This is what actually works.
Alphabet is dropping $200 billion on AI infrastructure, and the tech world is panicking about a bubble. But they’re missing the point. This isn’t about today’s chatbots—it’s a calculated bet that compute will become radically cheap, unlocking a future Alphabet intends to own.
AI agents don’t have nervous systems, yet they exhibit stable behavioral patterns — failure handling, exploration style, assertiveness — that map onto classical human temperament theory. While the industry obsesses over accuracy benchmarks, it’s ignoring the one dimension that actually predicts real-world performance: temperament. An agent that scores 94% but collapses at the first error is worse than an agent that scores 88% but adapts, persists, and pushes back.
Anthropic’s Claude Science promises to accelerate research, but it’s quietly shifting the scientific paradigm from hypothesis-driven inquiry to AI pattern-completion. By outsourcing reasoning to a model that excels at plausibility but ignores verifiability, researchers risk losing the intellectual rigor that defines true discovery.
Tencent’s Miora can generate a complete brand VI in 10 minutes, but the real disruption isn’t speed. It’s the shift from manual design to AI-driven workflow management. If you’re still competing with AI on pixels, you’ve already lost. The future belongs to those who define rules, manage systems, and control taste.