Could we write intelligence to brains quicker than a human could learn it using external optimization methods?
I went on @LBC to talk about brain cells, Doom, and some of the work we are doing at @ParasmaAI !
We had a good thing, you stupid son of a bitch! We had free food, we had insane tech salaries and it all ran like clockwork! You could have shut your mouth, coded and made as much money as you ever wanted! But no! You just had to blow it up! You and your “Day in my life” videos, you and your DSA courses! If you'd done your job, known your place, we'd all be fine right now!
AI in robotics gets all the attention right now, but sometimes the most interesting work is very practical.
Viet built a small vision system that counts potatoes on a conveyor belt. No giant dataset. No huge model. Just a clear problem and a smart setup.
He used Ultralytics’ ObjectCounter, trained a tiny YOLO11 nano model, and because there was no potato dataset, he annotated a single frame with SAM 2 and trained from that. One frame. Still works across the whole video.
It is a good reminder that useful AI in industry often looks like this.
Focused. Lightweight. Solves a real task.
If you work in manufacturing or robotics, these small systems are usually the fastest wins. They save time, reduce errors, and do not need massive infrastructure.
Nice work, Viet.
His projects:
https://t.co/PCUV05Cocw
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It was never “build what’s fundable” and it isn’t now.
It’s always been: make something people want.
This comes from users and customers and the needs of others.
Wild day of AI startup funding news:
▫️xAI raised $15B at a $200B valuation
▫️Cursor raised $2.3B at a $29.3B valuation (up 12x in 10 months)
▫️Thinking Machine Labs in talks to raise at a $50B valuation (up 4x from a few months ago)
We've raised $2.3B in Series D funding from Accel, Andreessen Horowitz, Coatue, Thrive, Nvidia, and Google.
We're also happy to share that Cursor has grown to over $1B in annualized revenue and now produces more code than any other agent in the world.
This funding will allow us to invest deeply in research and build Cursor's next magical moment.
THE MAN WHO BUILT THE WEB JUST PREDICTED ITS COLLAPSE
Sir Tim Berners-Lee - the guy who literally invented the internet - just warned that AI might nuke the ad economy that keeps it alive.
His logic is brutal: if large language models like ChatGPT or Gemini are the ones “reading” websites to summarize them for humans, no one’s actually seeing the ads. No eyeballs = no clicks = no cash.
“If web pages are all read by LLMs… the whole ad-based business model of the web starts to fall apart.”
That’s a $1 trillion domino line wobbling. Meta and Google - the twin gods of targeted advertising - are still printing money for now.
Google just posted $100B in quarterly revenue, Meta cleared $51B, even as both burn billions training the AIs that could kill their golden goose.
Berners-Lee’s warning cuts deep: the web’s creator thinks AI could make the internet unreadable, unprofitable - and maybe, unhuman.
The next web revolution might not be built for people at all.
Source: Financial Times
BREAKING: Amazon stock, $AMZN, surges over +6% after announcing a $38 billion deal with OpenAI.
We are now receiving DAILY multi-billion dollar AI deals.