
Compiler optimization @ Oxford, applied AI at @Aifiinc & Akorda. Now helping companies scale and become AI-first at https://xitter.cf/t.co/GgTBLDGi8C + @supervisible__
Miami
Joined June 2009
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Me costó mucho dejar mi trabajo para emprender.
Tuve que haber dado el salto antes:
Al final fue cuestión de:
+ poner una fecha límite
+ verlo como un experimento
+ tener el co-founder indicado (@orlandosorio_)
+ tener un plan B
+ tener un dream team de apoyo (esposa, familia)
Alberto Sadde retweeted
The games we've long wanted, which didn't exist because they'd cost several times more to make than they'd earn back, will soon become possible. As will the games developers wanted to build, but couldn't with the resources available. It'll be a new golden age of gaming.
Alberto Sadde retweeted
I mean, he did tell us his plan... I guess no one believed him for some reason 🤷🏼♂️
Alberto Sadde retweeted
🇮🇹🇻🇪: ITA Airways anuncia sus vuelos entre Roma y Caracas a partir del 30 de marzo.
Los vuelos serán operados con tres frecuencias semanales (martes, jueves y domingos) en los equipos Airbus A330Neo.
UX glitches in my favorite apps annoy me and make me happy at the same time.
If the best and most-funded teams in the world ship messy to move fast the rest of us don't have excuses.
Hard to beat @bot.
Alberto Sadde retweeted
The only generation that knows how computers work is also the most relaxed about AI:
Alberto Sadde retweeted
Two earthquakes changed the lives of thousands of families in Venezuela in a matter of moments. And months later, the need is still very real.
This is what the 100 Billion Meals Challenge is all about. Showing up when people need us most and bringing together extraordinary organizations and people who can turn compassion into real action.
I’m grateful for our 100 Billion Meals partners at @AllHandsHearts, The House Project, @Alimenta_AS, @SoapboxTech, the Montaner Family Foundation, and @StellarOrg who have stepped up alongside us to help bring food, clean water, shelter, medical support, and hope to families rebuilding their lives.
But the work isn’t over.
Right now, our friends at Stellar Crypto Network are matching up to $100,000 in donations, which means what you give today can go twice as far.
Whether it’s $5, $50, or $500, it matters. It becomes part of the food, water, shelter, and support reaching a family who needs to know they haven’t been forgotten.
Let’s show the people of Venezuela that they are not alone. ❤️
Alberto Sadde retweeted
.@TonyRobbins at the America.gov launch: "Today, we're going to see a bold vision that's been turned into reality — one that forever can change how government recognizes you, how it respects your time, and how it actually serves you."
Alberto Sadde retweeted
Fei-Fei Li spent years hand-labeling 14 million images, gave the entire thing away for free, and watched it create a multi-trillion dollar industry that paid her nothing. Sixteen years later, AMD is finally paying her. $8.2 billion.
Rewind to 2007. She's a junior professor at Princeton, and the field's consensus is that progress comes from better algorithms, with data as an afterthought. Colleagues warn her that building a giant image dataset will kill her career. Money gets so tight she considers reopening her family's dry cleaning business in New Jersey, the same one she ran on weekends as a Princeton undergrad, to fund the project.
She builds ImageNet anyway and releases it free in 2009.
For three years, almost nothing happens. Then in 2012, two of Geoffrey Hinton's students train a neural net on a pair of $500 gaming GPUs and enter her competition. AlexNet drops the error rate from 26% to 15%, and that single result convinces the whole field that deep learning works.
Nvidia was a gaming chip company worth about $8 billion that day. It's worth over $5 trillion now, and the run started with two of its consumer cards winning a contest built on Fei-Fei's free dataset.
The entire industry monetized the wave except the person who started it. She stayed a professor.
Then in April 2024, at 47, she finally starts a company. Paul's math above puts the four co-founders' share at roughly $3.4 billion after just 2.5 years, call it $850 million each. And she walks into AMD as Chief Scientist reporting to Lisa Su, which puts the two most important women in AI inside the same company.
ImageNet made everybody in this business rich. It just took sixteen years to get around to her.
AMD acquires World Labs for ~$8.2b. But who gets the 💰? My usual breakdown below 👇
From founding to an $8.2b exit in ~2.5 years. A huge value creation event. This is a fantastic exit, especially for the co-founders and the team.
Investors will still share ~$2.3b of profits on $1.2b invested, a ~2.9x blended. Low-ish because most of the capital came in last. But it hides a lot of disparity between the various rounds!
So let's dive in:
1) The real home run: founders and team 🏆🥳
This is one of the best founder outcomes I've modelled.
@drfeifei, Justin Johnson, Christoph Lassner and Ben Mildenhall started World Labs in Apr-24. Less than 2.5 years later, they and the team still own ~56% according to my estimates. At an $8.2b valuation, that's a total prize of ~$4.6b to share between them.
Taking a 15% attributed option pool, that's ~$1.2b for the team and ~$3.4b for the four co-founders. If split equally, that's ~$850m each, in just two and a half years. 💸
And, at close, Fei-Fei Li joins AMD as EVP and Chief Scientist, reporting to Lisa Su! Legendary.
2) The buyer was already on the cap table (again) 🔁
AMD Ventures invested in the Series B and the Series C here. Now they are buying the whole company. It's the same playbook as Nvidia with Hugging Face: strategic corporates are using their venture arms as a free option on future acquisitions.
3) The standout VC winners: a16z and Radical Ventures 👑
Both backed Fei-Fei at inception, in Apr-24 at a ~$300m valuation. That Series A will return ~19x the money, or ~$1.2b of proceeds, in under 2.5 years.
Congrats to @martin_casado and team. Another mega win after Cursor and OpenRouter. The team at @a16z truly is on a generational run.
4) The star angels did well 🌟
The Sep-24 Series B had arguably the strongest AI angel list ever assembled: Geoffrey Hinton, Andrej Karpathy, Jeff Dean, Eric Schmidt, Reid Hoffman, Marc Benioff, Ram Shriram and more.
Priced at $1.3b, it was never going to be a 1,000x. But ~5x in two years is a ~125% IRR 📈
And the best part is: Hinton's AlexNet won the 2012 ImageNet competition, and ImageNet was the dataset Fei-Fei built. Twelve years later, he backed her company. Full circle. 🔄
5) The late money: a great IRR, but a poor multiple of money 🤏
The $1b Series C in Feb-26 at $5.4b returns ~1.5x in 7 months. That's a great IRR, but in terms of venture returns, this is a poor multiple of money. Although I am sure no one will complain about seeing DPI this quickly!
Congrats to all involved!
Alberto Sadde retweeted
Insane new video of the NOAA Hurricane Hunters navigating through the 180 MPH eyewall of Hurricane Polo yesterday before reaching the massive Stadium Effect of the eye.
These are some of the bravest and most skilled pilots in the entire world.
Alberto Sadde retweeted
strong recommend every engineer listens to this from @dhh. he is getting a lot of hate but this will be seen as prophetic.
Caracas, where SAIME surprisingly works better faster (got new passport in <1 day) than an European consulate.
Caracas, where among other things you have 40-year old tv boxes working alongside Starlink antennas.
Magical realism
Alberto Sadde retweeted
If you raw dogged a CS degree pre-LLM you can never be a true vibe coder. You’ve seen too much.































