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A founder is making waves with a provocative claim: that they've built the most AI-integrated company on earth. The piece raises real questions about what it actually means to run a business on AI rails, and whether the trade-offs in human judgment are worth the efficiency gains.
Shifting gears, Google has quietly published something called the Elephant Goldfish Model on GitHub, a framework aimed at helping engineers design and review software alongside AI agents. The name points to a tension worth taking seriously: agents with long memory versus those that forget everything between sessions, and how humans need to account for both.
And on the database front, a project called Pgrust is pitching what it calls a gravity query engine, promising to bring dramatically faster query performance to Postgres-compatible workloads. It's an early-stage effort, but the framing around speed and developer ergonomics suggests someone is thinking carefully about where the bottlenecks actually live.
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