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In the ever changing AI world, it seems that the next phase will be open weighted models.
If you believe this, you should be thinking about compute.
The need for compute will only rise. Corporations won’t have an issue with this since they have unlimited capex.
The real issue comes when there is a consumer compute crunch. We saw this briefly earlier this year when Mac minis were selling out/had long lead times.
The distinction between who has compute and who doesn’t quickly occurs. Think of who can afford more compute and who can’t. Who gets it when they want/need it, and who doesn’t?
Does compute get cheaper or does compute get more accessible?
Sherv ⬆️ retweeted
Talent is rare.
Know what's rarer?
The ability to sit at your desk for 12 hours a day, say no to everything, take risk, work without reward and grind the work regardless of motivation.
Talented people fail all the time. The grinder's destroy and conquer. Be the latter.
Dudes be like “hells yeah”
The Brewers regarded smoking cigarettes before games as a good luck charm and their motto was ‘if we smoke heaters in the cage, we will smoke heaters in the game’
Christian Yelich on this:
“You walk by the cage and see the cigs lit and you’re like, the boys are ready to rock.”
(Via @JeffPassan)
🚨 An AI can now prescribe drugs. No doctor required.
Quick context: Utah regulators just approved Nolla Health's AI to issue first-time acne prescriptions from a facial scan — no licensed clinician signing off. First approval of its kind in the US.
WHAT IT MEANS
→ Patient uploads a scan, the AI builds the treatment plan and writes the prescription
→ The founder calls it "the first ever end-to-end AI doctor"
→ Dermatologists are about to have opinions
Hot take: the debate isn't "AI vs doctors." It's speed vs liability. The tech was ready before the paperwork — now the paperwork is catching up.
Real question: when the AI gets a diagnosis wrong, who gets sued?
Would you take a prescription from an AI?
