just watching the train of thought for any of the frontier class models is simultaneously thrilling and so disappointing. it fails by being generic and it knows it! it’s so repetitive! it cannot juggle enough ideas in its brain at once!
@scottastevenson fake work def emerges when you have a measurable proxy that diverges from illegible value. must protect the illegible stuff you know is good
Scott in 1998: legibility is a central problem in statecraft. states often knew precious little about their subjects, and flattened them so they could count, tax, conscript, and control them
mētis is the counter concept, the value of local expertise
interesting in 2026 too
a “fast” takeoff with slow diffusion (gated by atoms and institutions and people’s discomfort with change) looks, from the economy’s vantage, less discontinuous
@ChrisPainterYup How exactly will atoms stop being an issue? Interconnection queues, power generation, the physical labor for standing up datacenters, your semis/memory supply chain bottleneck of choice, and the lack of “the internet of data” for robotics are solved by improved cognition?
there seems to be a “rule of 40” for AI businesses
if you are growing >3X yoy investors seemingly accept negative to low GM and ignore questions about durability
or, you can grow “fast” but not insanely, and you need a much better moat (models, enterprise)
weak on both = tough
1/ 🔥 @NoPriorsPod x @LatentSpacePod chat with @SatyaNadella at @Microsoft Build. He has the sharpest mental models of any public company CEO I've interviewed.
$MSFT is at its heart still a tools company! Big focus on agentic coding, harness & AI evals. Takeaways:👇
We have an uzi of AI output coming from @rippling this year. If you wanna work for me (directly) to tell that story, please DM me. Needs a solid technical foundation, coupled with the X savviness of @HunterBiden.
@DamianBullish no. feel free to run statistical analyses on us screwed folks that have been using emdashes since they were taught in middle school — sad! But — true.