Greg Garnhart (@GGarnhart) header
Greg Garnhart (@GGarnhart) profile picture

Be Genuine. Product Engineering @gen_intuition · he/him

New York, New York
Joined June 2012
Photo by Greg Garnhart (@GGarnhart)Photo by Greg Garnhart (@GGarnhart)Photo by Greg Garnhart (@GGarnhart)Photo by Greg Garnhart (@GGarnhart)Photo by Greg Garnhart (@GGarnhart)Photo by Greg Garnhart (@GGarnhart)Photo by Greg Garnhart (@GGarnhart)Photo by Greg Garnhart (@GGarnhart)Photo by Greg Garnhart (@GGarnhart)Photo by Greg Garnhart (@GGarnhart)
General Intuition has raised another $220M at a $6.2B valuation as we start making our models available. These are an entirely new class of foundation models, trained on billions of action-labeled videos, capable of acting in realtime in never seen before environments. 1/6
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NYT Cooking finally playing into my palate, which is unfortunately that of a recently divorced person
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Greg Garnhart retweeted
General Intuition, the startup building a foundation model that trains generalized AI agents how to move through space and time, is in talks to raise at a $6 billion pre-money valuation from new investors including Valor Ventures, Point72 Ventures, Seven spr.ly/6015B1S2pX
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The WSJ stopped by to learn more about how our models work. Good write-up to understand broadly what a large action model is, how its different from world models, and why they are promising approaches in robotics. It's becoming increasingly clear that ground-truth action data, like the kind found in games, is a key ingredient to scaling robotics pre-training. Link in comments. Check out the policy waving at @pallipau.
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Greg Garnhart retweeted
You could move to New York City. Walk out your door at 2am for a bacon egg and cheese and not think twice about it. Get on a subway that takes you from a mosque to a synagogue to a cathedral to a noodle shop that's been slinging the same bowl since 1987, all in twelve blocks. Watch strangers from four different continents argue about a parking spot in a language that is somehow entirely made of hand gestures. Sit in a park designed 170 years ago by geniuses who wanted you, specifically, to have somewhere green to sit. Catch a Tuesday night set from a musician who's about to be enormous, in a room that fits eighty people. Walk past a building where somebody invented something, or wrote something, or changed something, roughly every four minutes, whether you notice or not. Realize your commute is also a people-watching seminar, a smell-based cultural exchange program, and free comedy. Order the good pizza at 1am standing up, off a paper plate, next to a guy in a tux and a guy who clearly just got off a double shift, both getting the same slice with the same reverence. Pay too much for too little space and get, in exchange, eleven million other people's worth of energy pointed directly at your life every single day. Move to Iowa. Get the four bedrooms, the garage, the yard. Never again have a 3am conversation with a stranger that changes how you think about something. Never walk into a museum on a random Wednesday because it's just there. Never get that specific electric feeling of being one tiny gear in the greatest machine humans have ever built. But hey. At least parking's easy.
You could move to New York City. Rent an 852-square-foot apartment for $5,503 a month. Blow $500 on three “first dates” a week and somehow remain single for six years. Finally meet someone you like, then discover they’re “not really looking for anything serious right now.” Get a master’s degree so you can qualify for an internship. Apply to 147 jobs, get 93 automated rejections, and finally find an “entry-level” position requiring five years of experience. Eventually land a six-figure job and still need a roommate to make rent. Pay federal income tax, New York State income tax, AND New York City income tax because apparently living there is a three-level subscription. Learn that a “quiet neighborhood” means the sirens only come by every 20 minutes. Pay $27 every day for a sandwich (no sides) because the place has exposed brick and a handwritten menu. Take the subway to work every morning and develop the useful skill of pretending not to notice absolutely anything happening around you. Spend 45 minutes traveling three miles. Carry your groceries home six blocks because parking near your apartment is more of a philosophical concept than an actual possibility. Have “owning a washer and dryer” become one of your primary measures of generational wealth. Walk past a mountain of trash bags on your way to a restaurant with a Michelin star. Tell your friends back home you don’t need a car while spending $46 on an Uber because the subway is delayed again. Go to Central Park when you want to remember what trees look like. Spend your twenties telling everyone you could NEVER live anywhere else. Then one day you visit your cousin in Iowa. He has a house with four bedrooms, a garage, a yard, two cars, four kids, and somehow pays less than you do for the apartment where your refrigerator touches your couch. But hey. The NYC bagels are incredible.
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Hi @AnthropicAI can I pls login to claude on iOS with two profiles and swap between them
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why isn't there an end call button here @Apple
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Two steps forward, or rather, one vertical jump landing in the exact same place.
kimi is truly a revolutionary model
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Truly unbelievable technology — so fun to see Epic Games work with @gen_intuition on this. Check it out :)
Introducing MIRA. A playable, multiplayer world model. A dream of Rocket League. Trained on 10k hours of data collected with publicly available bots, MIRA learns the dynamics of a four-player game. The model runs in real time at 20 fps, based on the keys you and the other players press. Built by General Intuition and @kyutai_labs, in collaboration with Epic Games. Not used to develop Rocket League. ▶️ Play the demo, read the technical report, and explore the open-source code at generalintuition.com/mira At ICML? Find us at Booth 111 to try it yourself and dig into the results with the team.
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Greg Garnhart retweeted
.@gen_intuition CEO @PimDeWitte discusses using data from gamers to train AI & broader implications for the labor market: cnb.cx/3QHDIXj
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Greg Garnhart retweeted
General Intuition CEO @pimdewitte, who's building foundation models trained on video game controller input data ("action-labeled gameplay clips"), says general intelligence won't "taste like an LLM": "We have a scale of data that's going to allow us to jump to the frontier in one capability — which is any system that can be controlled with a game controller (which is most robots) — and then, you can use that to create a sufficiently general intelligence." "As humans, the decision to talk or type is a very, very small subset of the actions that we can actually take." "So in order to create a sufficiently general intelligence to play 10,000+ video games, the model has to be able to predict across the entire action space of human cognition when they're interacting with these environments. Which are 2D and 3D environments, interfaces, long-horizon tasks, short-horizon tasks, [etc.]." "It has to be a sufficiently general intelligence in order to predict actions. Therefore, the type of model you get out is not going to taste like an LLM. This model is going to be incredibly good at navigating unforeseen environments. It's going to be incredibly good at zero-shotting any task that can be done with a game controller."
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Announcing our $320M Series A at a $2.3B valuation, led by @khoslaventures, with @generalcatalyst, @ericschmidt and @JeffBezos. General Intuition is the frontier lab for acting in space and time. We build large action foundation models trained on billions of ground truth action-labeled gameplay clips from 17M monthly active users on Medal, and push the frontier of world models to generate infinite training environments.
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I joined General Intuition this past January after a thrilling 4 years working on Fortnite at Epic Games. This jump has provided me an opportunity to see a glimpse of what I think will be AI’s most important jump — moving from digital space to the physical world.
Today we're announcing our $320M Series A at a $2.3B valuation, led by @khoslaventures , with @generalcatalyst, @JeffBezos , @ericschmidt, @NicoRosberg, alongside leading researchers from frontier labs and academia.
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Hi @WHOOP when will we be able to add custom timed workouts to strength trainer? (Like planks)
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“The digital world lacks physical information. The physical world lacks dense digital information. Games perfectly merge these two together, and we believe that’s just the next phase of pretraining.” Every few weeks @gen_intuition ships new emergent capabilities that are orthogonal to anything you see in the LLM world. Watch GC’s @max_rimpel in conversation with @PimDeWitte. Chapters 00:00 — Introduction 00:10 — The World's Biggest Private RuneScape Server 03:09 — From RuneScape to Ebola 07:41 — Mapping the Unmappable 09:47 — Why LLMs Can't See the World 13:45 — The Accidental Foundation of General Intuition 19:10 — Turning Down a Life-Changing Acquisition Offer 21:12 — One Foot in Front of the Other 24:04 — Atoms to Atoms 27:33 — The Talent Flywheel 30:20 — Protecting the Last Weird Corner of the Internet
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Greg Garnhart retweeted
I spent 8 years scaling Discord and got burnt out cause modern work is broken. We’re overwhelmed with too much info across apps, teams, and agents. AI made it worse. We’re building the solve. I've joined @tryhighlight as CEO and we raised a $40M Series A led by @KhoslaVentures.
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I left Epic back in January because of the potential of World Models. It has been a very fast, very fun few months. @packyM and @PimDeWitte summarize what we're up to. It's best enjoyed paired with a coffee (or two).
There is a tremendous amount of progress happening in World Models. Multiple labs have raised more than $1B. WMs were the star of GTC. They are a real path to embodied AI. So @PimDeWitte & I wrote a comprehensive 19k word overview of World Models. notboring.co/p/world-models
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Hello @AnthropicAI can we customize which model is used when we launch the mac quick access shortcut? I want to use haiku for speedy questions I ask via quick access and Opus for everything else
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