building AI civilizations (backed by @fdotinc) prev: AI research at MIT Press/Artificial Life Journal, 1 exit

San Francisco
Jev is actually insane. We benchmarked it, and the results completely change the game for us: > 500 real-time agents > running in parallel > in a 3D environment The preliminary results are crazy: > 500ms average latency > 35 API calls/s > all with a naive implementation We did 0 optimizations! The bottleneck is not Intelligence latency anymore. It's the first System 1 LLM. Crazy times.
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
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i think this is pure hype mentality with 0 technical understanding reasoning: we just released our own internal JEV model: >5-10x faster >5-10x cheaper >our own proprietary data took us 7 days after they launched. >difficulty of the task: 4/10 bonus: at $10B how is this 100% downside protection?
Should we invest in Jev at $10 billion? “Of course we should do it. After the last 20VC, I have decided to recommend up to 30% of the fund. Jev is already 17% of the traffic on OpenRouter and 20% of the traffic through Vercel’s router. Jev is a 70th of the price and 100 times faster. This is exactly the kind of bet we have to do. I do believe there is a 50X upside to $500BN.” @jasonlk Love to hear your thoughts @EGafni @hardimanjames @alexatallah @cramforce
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today we hit a major milestone: our first internal model, LifeSim-Social-1 (10 days after I moved to SF to simulate Artificial Life) general-purpose models have clear limitations, so we had to build our own: >200ms inference time >proprietary dataset >specifically for social behavior we build the entertaining platform for people & AI to play and evolve together (OpenAI and DeepMind proved games are ideal environments for AI agents) more soon.
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it's a simulation
this is insane like wdym this is my desk view every single day cc @fdotinc
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this is insane like wdym this is my desk view every single day cc @fdotinc
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30 min bike ride through Pac Heights and SF washes all it's sins
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like a friend said: 'it would pass the video touring test on me because i dont look at the screen during calls' cc @AniC_dev
The whole point of building Tavus has been simple: talking to a machine should feel as natural as talking to a friend or coworker. It’s hard to describe all the tiny nuances that make a conversation feel human. The little expressions. Moving around in your chair. Knowing when to speak and when to listen. The dance of it all. Griffin is by far the closest anyone has come to a model that can capture those nuances. The first time I saw it being used, I had no idea I was watching our model rather than just a normal video call. I’m so incredibly proud of this team and what they’ve built.
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watercolor map aesthetic + multi-agent worlds + spider-man
I've long wished that online mapping services were far richer and higher-density. They elide so much detail today! We have gloriously high-DPI screens... I want to wallow in cartographic filigree. AI of course now makes this possible: bayatlas.vercel.app
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compute-maxing AI civilizations + this view only in SF™ (powered by the fam @fdotinc)
Desk view of the Golden Gate Bridge
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Desk view of the Golden Gate Bridge
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Great conversation @kevinhartz & @merve_isler! > Kevin knew Amiando & Felix Haas from Munich (niche knowledge, but my previous start-up was in ticketing - AND in Munich!) > Julia & Kevin are incredible husband/wife founders! > Kevin saying they could not defeat @Ticketmaster brought up memories! This was a personal one for me! > @kevinhartz would love to buy Julia and you a coffee sometime! Just dm'ed you! (you should drop by @fdotinc more often Kevin)
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the flexx 1.2B people! but B2B enterprise is still a bigger TAM. holy fuck.
wtf @OpenAI just launched a jev competitor at DevDay (7 days after @typesafeai's launch) freaking insanity speed.
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wtf @OpenAI just launched a jev competitor at DevDay (7 days after @typesafeai's launch) freaking insanity speed.
we fine-tuned a 144.3M open-source Jev competitor called Julia 1 @OpenAI @gen_intuition @GoogleDeepMind proved games are rich environments for AI agents: >what if AI can actually live inside our world? >we’re taking that toward simulated societies >our NPCs have perception, relationships & memory fine-tune results of Julia 1 from @supersonicai: >accuracy: 61% → 95% >inference: ~0.2s >the model is small enough for edge deployment! more soon!
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we fine-tuned a 144.3M open-source Jev competitor called Julia 1 @OpenAI @gen_intuition @GoogleDeepMind proved games are rich environments for AI agents: >what if AI can actually live inside our world? >we’re taking that toward simulated societies >our NPCs have perception, relationships & memory fine-tune results of Julia 1 from @supersonicai: >accuracy: 61% → 95% >inference: ~0.2s >the model is small enough for edge deployment! more soon!
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feel free to call me a one-trick pony
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$8.2B in 2.5 years congrats to the team @drfeifei @theworldlabs! next up is persistent worlds: >populated by autonomous agents >with goals, relationships >and lives of their own very early. very interesting.
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!
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its insane. speed it the only moat. i just cloned a product in 30 mins.
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family group-chats are such a huge net positive to society
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it's all a simulation anyway we're just building the next layer
One month ago I joined @crislenta to build the future of simulation games. Since then, we’ve been shipping like crazy. Ideas that sounded experimental weeks ago are already real systems. Feels like we’re speedrunning future of simulated worlds. Month one. Just getting started.
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