Daily Digest

Aug 26, 2026 6 min read

Daily Digest - 2026-08-25

Details OpenAI's new AI inference chip, Jalapeño, and what it means for hardware economics. OpenAI built a general-purpose inference chip, Jalapeño, in 16 months.

Aug 25, 2026 5 min read

Daily Digest - 2026-08-24

A useful overview of the skills that distinguish serious AI builders from casual tool users. Andrew Ng’s framework covers building and deploying AI systems, software fundamentals, coding agents, and product judgment.

Aug 24, 2026 4 min read

Daily Digest - 2026-08-23

A practical way to preserve trust when polished output is cheap. Finished work no longer proves that the underlying process was sound.

Aug 23, 2026 6 min read

Daily Digest - 2026-08-22

Why earning your first million doesn't go as far as it used to. A $1M net worth is increasingly common for high earners, but it rarely buys financial freedom or a dramatically different lifestyle in expensive cities.

Aug 22, 2026 8 min read

Daily Digest - 2026-08-21

An argument for moving AI outputs from unstructured text to typed data objects to build durable systems. When AI agents produce durable work like decisions or plans, passing that output as text creates fragile workflows.

Aug 21, 2026 7 min read

Daily Digest - 2026-08-20

Explains why adding more parameters isn't enough anymore; we need more compute and better post-training data for reasoning. Tracking parameter counts is getting outdated.

Aug 20, 2026 6 min read

Daily Digest - 2026-08-19

A concrete workflow for using coding agents while keeping humans responsible for quality. Kenn separates design, specification, implementation, verification, and merge ownership instead of treating agent output as production-ready.

Aug 19, 2026 7 min read

Daily Digest - 2026-08-18

Why AI application startups have to build their own model fine-tuning factories to survive in the enterprise. Decagon AI shows that selling agents to large enterprises requires custom workflows that frontier models can't handle alone.