Let me try and explain: a Krispy Kreme uses water to make doughnuts which can be eaten and coffee which can be drunken. The workers wash their hands so the food is sanitary and the customers use the bathroom. In a data center, all that water is wasted with no treats.
JUST IN: Vibecoder discovers previously unmapped ancient Maya settlement hidden beneath the Mexican jungle using 48 AI agents & NASA lidar data, despite having no archaeology experience.
of all of things posted re: fable 5.2, the most interesting to me was the 37 point jump in robotics performance. this is a little less than ~2x performance than any other competitor atm. i don't know the training details behind this, but i wonder if this is emergent or purposely trained. if it's the former, damn.
i mean i don’t think many ppl realize the magnitude of what this actually means, it will allow models to escape pure software territory at scale at some point very soon. + if this is as accessible, then anyone can build & deploy potential configurations for operations or personal use cases with general purpose hardware & maybe a prompt?
Agents now make up the majority of web traffic, write more than half of new articles published online, and generate most of the code pushed to production.
This is what the early stage of a platform shift looks like: adoption is measurable, but the business models it enables mostly aren’t visible yet.
Welcome to the agent economy.
https://t.co/Y4aT9wibgb
Day 1 with my first MacBook, Mac users i need you help. What’s one app, setting, or shortcut you wish you’d known about sooner?
I’m starting fresh and want to get everything set up right.