Brendan Costa made @Bates_Football history and the Bobcats defeated Bowdoin 25-24 in a thriller under the lights in Brunswick. And we have the story, featuring interviews with Costa and senior wide receiver Jackson Hayes!
VIDEO: https://t.co/d1gfyH7qdY
#d3fb#gobates#mesports
Moneyball wasn’t really about baseball. It was about discovering that everyone else was allocating capital inefficiently. Once Billy Beane proved a better model, the advantage was enormous. But the real lesson came later: when the Boston Red Sox combined the efficiency of Moneyball with vastly greater resources, they became a dynasty.
AI feels similar today. The industry is spending unprecedented amounts on compute. In image and video generation, the scale of GPU investment is staggering. When capital is abundant, efficiency often becomes an afterthought.
Two years ago, Reve started with a simple constraint: we couldn’t outspend the largest labs, so we had to outthink them. That constraint forced invention. While compute and data matter enormously, architecture still matters. How you build the system matters. Efficiency matters.
Visual generative models today use text as an intermediate representation, leveraging LLMs to plan their outputs before rendering any pixels. Natural language is expressive, but it is ambiguous — and ambiguity is the enemy of efficiency and control. Reve made a different bet. We replaced text with a better, code-like semantic representation — a layout. Layout is the reason we can compete with, and beat models trained on 10× our compute. It also opens up a whole new world of precise, non-verbal visual control.
Today, we have proved that our bet paid off. A team of 50 people has built one of the world’s best visual generative models using a fraction of the training compute of our much larger competitors.
The next chapter is even more interesting. What happens when a system designed for efficiency is given access to substantially more compute? It’s not about doing more with less. It’s about building a better machine first, then scaling it.
The broader AI race may be much earlier than most people think.
Tom Hamilton on Jazz Chisholm:
“He predicted the Yankees will win the World Series. He did that on the Jimmy Fallon show. Pretty amazing he got on the Jimmy Fallon show batting .239.”
@JPGuerette I am just counting how long it's going to take for whoever manages the Slammers' website to realize all their player bios link still to Pointstreak.
What a season! The Bates women’s rowing team places 2nd in all of @NCAADIII for the eighth time in program history! It’s their best finish at nationals since 2022. Congrats also go out to the 1st varsity 8 for capturing a silver medal!
#mesports#d3row#gobates@buntingthompson
Both Bates crews advance to grand finals at @NCAA Rowing Championships:
https://t.co/ZOgek3zuEW
Watch the grand finals starting at 3:32 p.m. here: https://t.co/6XLF1phCcB
#mesports#d3row#GoBates@buntingthompson
Scenes from the Friday morning heats for Bates women’s rowing at the @NCAADIII championships.
Grand finals at 3:32 and 3:40! Watch live at https://t.co/6XLF1phCcB
#mesports#d3row#GoBates@buntingthompson