All notes with the tag "ai".
Apple's on-device AI push reframed as a bet on the most expensive question in the industry: when agents work all day, does that compute happen on your device or in someone's data center?
Andrej Karpathy's argument that the bottleneck in AI-assisted building isn't the model — it's the spec you fail to write. Distilled from a walkthrough of his AISN 2026 talk.
The most interesting AI advances are shifting from bigger models to smarter systems around them — memory layers, grounding, inference efficiency, and modular intelligence.
Markdown still dominates cognition-heavy AI workflows, but as agents become operational systems, HTML is re-emerging for structure, interaction, and state. The future is probably both.