9 min read
Daily Digest - 2026-09-26
Hong Kong financial disclosures from MiniMax and Zhipu offer concrete numbers on token economics, shrinking margins, and the real profitability of running model inference.
Reading Notes
Daily Digest
Links, short summaries, and notes on what is worth noticing across AI, operations, strategy, and company-building.
Previous daily entries
9 min read
Daily Digest - 2026-09-25
A look at how OpenRouter scaled to route ten trillion tokens across models, leading to its seven-billion-dollar acquisition by Stripe.
9 min read
Daily Digest - 2026-09-24
Hamel Husain explains why teams building AI products need to hunt for actual errors before inventing metrics to measure them. Most engineering teams write quantitative benchmarks before looking at real user traces, so they end up scoring the wrong failure modes.
10 min read
Daily Digest - 2026-09-23
Anthropic released Claude Opus 5. 5 as both Anthropic and OpenAI cut model prices by 40 to 50 percent, resetting baseline costs for frontier capabilities and multi-agent systems.
11 min read
Daily Digest - 2026-09-22
Hamel Husain and Shreya Shankar explain why writing metrics too early causes AI product teams to fail, and share a practical workflow for finding and fixing hidden failures with coding agents.
10 min read
Daily Digest - 2026-09-21
Former InstructGPT co-author Diogo Almeida is building fast, calibrated "System One" decision models designed specifically for software automation instead of standard autoregressive LLMs.
9 min read
Daily Digest - 2026-09-20
Shopify founder Tobi Lütke argues that MCP-versus-CLI is the wrong frame. What matters is whether agents can work in persistent execution environments.
10 min read
Daily Digest - 2026-09-19
Looking at more than 43,000 model calls shows that fragmented and cut-down inference setups, not changed weights, are why production models lag behind benchmark claims.