WHAT

Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family. It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.

Good time to drop the Lore again how my brother and I found the original Warcraft in like 1995 at an actual game store and in the manual it said you could “link 2 computers with a null modem cable” so we went to an actual computer store and bought one and made our own LAN and linked 2 computers together by punching a hole in the wall between our room and our parents didn’t find out about it until we moved and we just shrugged it off because it was so epic

Text classification in MotherDuck just got ~50x faster at ~1% of the cost. prompt_jev() is a SQL function powered by Jev, TypeSafe's new system one model. 100k rows: 40s, $0.50, frontier-LLM accuracy. The LLM took 32 min and $37. Read on: motherduck.com/blog/motherdu…

The most insightful thing I read about technology eleven years ago was @benthompson’s Aggregation Theory. Amazon blocking Muse is another perfect example. Customers want one agent that knows them and can get things done. The platforms being aggregated want the opposite. They want to own the customer relationship, not become interchangeable suppliers behind someone else’s interface + protect their ad business. Imagine groceries: Your agent can compare Amazon, Instacart, DoorDash, and Uber Eats, then route every order to the best option. Amazon can block that access because it is a gigantic company. But smaller players have every incentive to offer agents a clean API and a seamless experience. If Instacart embraces agents while Amazon blocks them, the agent will increasingly route demand to Instacart. Customers will be happy, and Amazon will eventually face the dilemma: keep protecting the relationship, or match the better value proposition. This will be the defining tension of the agent economy: aggregators realizing they are now being aggregated. Amazon will push its own assistant, of course. But a vertical Amazon agent will struggle against a horizontal agent that already knows my email, calendar, preferences, memories, and entire life context. Many companies will want to become the aggregation layer. Very few actually can.

Text classification in MotherDuck just got ~50x faster at ~1% of the cost. prompt_jev() is a SQL function powered by Jev, TypeSafe's new system one model. 100k rows: 40s, $0.50, frontier-LLM accuracy. The LLM took 32 min and $37. Read on: motherduck.com/blog/motherdu…

We re-worked my Jev/DuckDB example, and boy, was my original vibecoded extension excruciatingly inefficient. At LEAST 20x-40x faster now, often way more. Jev is going to revolutionize analytics. Something very cool to share tomorrow :)

All the idiot posts defending the goose have apparently never had to fight one as a child.