Our second announcement of the day: Carbon is our newest sandbox infrastructure, built with more capabilities for long-running agents.
It has microVM isolation, an IPv6 address per sandbox, and snapshots and forks as first-class features. A sandbox snapshot can go to production within milliseconds; no extra build step needed.
Carbon is in private preview; DM me if you want access.
World Labs is joining @AMD!
Over the past few years our incredible team has pushed the boundaries of spatial intelligence through models like Marble, RTFM, and now Atlas.
By partnering with AMD we will train bigger and better models than ever before, and build out an ecosystem of open models. I can’t wait to get started!
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!
Thrilled to share our exit: @theworldlabs is being acquired by @AMD in an $8.2B all-stock deal. Fei-Fei Li built the defining spatial intelligence lab — now the team gets to scale it on world-class AI infrastructure. Congrats to everyone involved!
#worldlabs#amd
Thrilled to share our exit: @theworldlabs is being acquired by @AMD in an $8.2B all-stock deal. Fei-Fei Li built the defining spatial intelligence lab — now the team gets to scale it on world-class AI infrastructure. Congrats to everyone involved!
#worldlabs#amd
AI-Native Services
This is what @JoshuaKushner, @sequoia, and @ycombinator have bet on to be the next Trillion dollar companies.
So I built: https://t.co/w4DTww9Fev
Tracking AI-native services firms across Accounting, IT, Legal, etc + Geography and Funding.
Being an LP benefits to quite a wide spread of info to compile, what is getting funded in Bay:
- Focus tech competition across ocean.
- Build Resilience like supply chains.
- Speed Up Innovation, in defence.
- Protect research, export of tech.
#vc
Being an LP benefits to quite a wide spread of info to compile, what is getting funded in Bay:
- Focus tech competition across ocean.
- Build Resilience like supply chains.
- Speed Up Innovation, in defence.
- Protect research, export of tech.
#vc
Most undervalued AI Inference Company
@DeepInfra raised $107M Series B (co-led by 500 Global & Georges Harik, with NVIDIA, Samsung Next, Supermicro joining in) to scale its inference cloud. Inference is the new bottleneck — and the money's following.
#inference
Most undervalued AI Inference Company
@DeepInfra raised $107M Series B (co-led by 500 Global & Georges Harik, with NVIDIA, Samsung Next, Supermicro joining in) to scale its inference cloud. Inference is the new bottleneck — and the money's following.
#inference