

Om
13.4K posts

@ommakes
Autotelic designer and entrepreneur building @Personifyhq



I just made a data mosh shader in @figma, and I love it. Simple, to the point, does what I need it to do! Makes for fun type explorations.

Travis is an apex predator put on ice in 2017 and only recently reactivated from cryogenic slumber. Standards for male behavior have moved so far that he's actively perplexed by it. Our current ecology was last home to performative frat bros nearly a decade ago. So when Travis tells TBPN he jet skis to work, and Jordi + John ask whether he does his best thinking on the jet ski, he pauses. You can visibly see him get confused, with an expression like "What the fuck are you guys talking about?" Then he quite literally voices his frustration: "No guys...it's a fucking notch on the belt. Who else do you know who jet skis to work? Nobody. I'm the guy." Even the literal technology brothers are incapable of fathoming a man who does things just for the bit. Travis in 2026 is like the T-rex from Jurassic Park 2 who finds himself in modern day San Diego being like, yo, what the FUCK is this place? And then just stomps everything in sight. x.com/tbpn/status/20…


WSJ: Big Companies Are Starting to Hire Again, Defying Predictions of AI Wipeout - After a year of holding back on new hires, companies from tech and transportation to defense now say they need more people to work alongside AI wsj.com/business/big-c…




Fable 5 shows me that many problems are dead ends with no satisfactory solutions. I don’t really feel a need for smarter models anymore. Instead I am faced by the limits of intelligence itself. Infinite brute force shows us that many of our ideas are just bad. We are often stuck searching too narrowly when we need to step back and take a leap to richer soil. Many of our bottlenecks are more about human alignment than intellectual problem solving. Many problems are theoretically valuable to solve, but fundamentally unsolvable with intelligence. For instance, chaos theory shows us that infinite compute can’t predict the trajectory of a double pendulum, and that we will always suck at forecasting the weather. The value of models is saturating and we are learning that intelligence is overrated.

