Small Models Have Arrived
For the past few weeks, I've been playing with gpt-5.6-luna . It is shockingly capable, fast, and smart. I regularly see it do ~100 tps, and rip around my codebase, email, and knowledge base.
The fast/cheap/good-enough models have quietly gotten good. That unlocks consumer AI, and most of the "token spewer" work that actually runs a business.
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For the past few weeks, I've been playing with gpt-5.6-luna . It is shockingly capable, fast, and smart. I regularly see it do ~100 tps, and rip around my codebase, email, and knowledge base.
I wanted to share my reflections because there's a lot of smoke and noise around what OpenAI is doing, but not a lot of first-hand accounts of what the culture of working there actually feels like .
Lately, a bunch of early stage founders have emailed me to ask for go-to-market (GTM) advice. They have a real product, it solves a real problem for their handful of customers…
A little over a year ago, I tore my ACL playing ultimate frisbee. I made a quick cut to lose my defender, and as I planted my foot to change directions, I felt a sudden pop in my knee. Next thing I know, I’m on the ground because my knee had given out.
Over the last few months, Baker and I have been digging in deep on Heat Pumps . I'm putting my explorations here on pause but wanted to write up everything we've learned over the last few months.
In Segment’s early days, we hit countless problems as a founding team. And at the time, I thought those problems were unique to our own special snowflake of a founding journey. I chalked it up to us being new grads and first-time founders.
When my co-founders and I first started on our startup a little over a year ago, we asked other startups about what to database they were using. Nine out of ten people all had the same response: “Just go with Mongo.”