@elonmusk I can���t hurp pickin’ between two hoomans on “trusty-wusty” is all squishy feels ‘bout ‘em. But if ya want, I can blorp out some known thingamajigs, happity-haps, and drama llamas ‘bout Sam Altman and Elon Musk so you can do the big brain thinky-think and choosy-choose yourself.
@DefiyantlyFree This is super misleading.
✅ The $1.7B to Iran happened in Jan 2016 not “right before Obama left.”
❌ It wasn’t secret
❌ Not taxpayer money it was Iran’s, from a 1970s arms deal
❌ Cash was used due to banking sanctions, not to hide it
❌ Not a ransom
City of Tokyo released a 3D digital twin of the entire city in high resolution point cloud, free to download. It’s an inevitable trend that more and more cities, houses, and factories will be transported into simulations.
Robots will not be trained in isolation. They will be simulated as an “iron fleet”, deployed in real-time graphics engines, and scaled across a huge cluster to produce the next trillions of high quality training tokens. The majority of embodied agents will be born in sim, and transferred zero-shot to our real world when they are ready. They will share a “hive mind” that sends latent embeddings back and forth to coordinate a multi-agent physical task.
Fun fact: NVIDIA’s Santa Clara Headquarter buildings are designed and rendered in Omniverse, a GPU-accelerated graphics platform, before materializing in atoms.
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If you think OpenAI Sora is a creative toy like DALLE, ... think again. Sora is a data-driven physics engine. It is a simulation of many worlds, real or fantastical. The simulator learns intricate rendering, "intuitive" physics, long-horizon reasoning, and semantic grounding, all by some denoising and gradient maths.
I won't be surprised if Sora is trained on lots of synthetic data using Unreal Engine 5. It has to be!
Let's breakdown the following video. Prompt: "Photorealistic closeup video of two pirate ships battling each other as they sail inside a cup of coffee."
- The simulator instantiates two exquisite 3D assets: pirate ships with different decorations. Sora has to solve text-to-3D implicitly in its latent space.
- The 3D objects are consistently animated as they sail and avoid each other's paths.
- Fluid dynamics of the coffee, even the foams that form around the ships. Fluid simulation is an entire sub-field of computer graphics, which traditionally requires very complex algorithms and equations.
- Photorealism, almost like rendering with raytracing.
- The simulator takes into account the small size of the cup compared to oceans, and applies tilt-shift photography to give a "minuscule" vibe.
- The semantics of the scene does not exist in the real world, but the engine still implements the correct physical rules that we expect.
Next up: add more modalities and conditioning, then we have a full data-driven UE that will replace all the hand-engineered graphics pipelines.
https://t.co/7BikSgE7iN
I see some vocal objections: "Sora is not learning physics, it's just manipulating pixels in 2D".
I respectfully disagree with this reductionist view. It's similar to saying "GPT-4 doesn't learn coding, it's just sampling strings". Well, what transformers do is just manipulating a sequence of integers (token IDs). What neural networks do is just manipulating floating numbers. That's not the right argument.
Sora's soft physics simulation is an *emergent property* as you scale up text2video training massively.
- GPT-4 must learn some form of syntax, semantics, and data structures internally in order to generate executable Python code. GPT-4 does not store Python syntax trees explicitly.
- Very similarly, Sora must learn some *implicit* forms of text-to-3D, 3D transformations, ray-traced rendering, and physical rules in order to model the video pixels as accurately as possible. It has to learn concepts of a game engine to satisfy the objective.
- If we don't consider interactions, UE5 is a (very sophisticated) process that generates video pixels. Sora is also a process that generates video pixels, but based on end-to-end transformers. They are on the same level of abstraction.
- The difference is that UE5 is hand-crafted and precise, but Sora is purely learned through data and "intuitive".
Will Sora replace game engine devs? Absolutely not. Its emergent physics understanding is fragile and far from perfect. It still heavily hallucinates things that are incompatible with our physical common sense. It does not yet have a good grasp of object interactions - see the uncanny mistake in the video below.
Sora is the GPT-3 moment. Back in 2020, GPT-3 was a pretty bad model that required heavy prompt engineering and babysitting. But it was the first compelling demonstration of in-context learning as an emergent property.
Don't fixate on the imperfections of GPT-3. Think about extrapolations to GPT-4 in the near future.
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🎉Hey #BBTF Fam!🎉
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