mok
@mokshith
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ai x video @sievedata
San Francisco, CA
Joined April 2018
Our third announcement is GWM Worlds. A world model for real-time environment simulation. You give the model a static scene, and it generates an immersive, infinite, explorable space as you move through it, with geometry, lighting and physics. All in real-time. You can travel
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Say hi to Odyssey-2 Pro—our most intelligent, interactive, and general-purpose world model yet. Every pixel is generated in real-time, and frame-by-frame the model simulates the world forward. Today for minutes, soon for hours. Available to developers and our API very soon.
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While I have great fondness for @NASA, they will constitute less than 5% of our revenue next year. Commercial Starlink is by far our largest contributor to revenue. Some people have claimed that SpaceX gets “subsidized” by NASA. This is absolutely false. The SpaceX team won
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I'll be a NeurIPS 3rd-5th this coming week. DM if you want to chat video generation, world models, and the interesting ways in which to collect and curate data for them.
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its all just computers just always build more computers please
Interesting to think about how crypto mining kicked off limitless demand for Nvidia chips, datacenters+electricity and how neatly it translated to AI. If Nvidia had no crypto mining business what state would they have been in to respond to demand from models?
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let millions of ai labs bloom
New w/ @nmasc_ @MilesKruppa: Richard Socher, CEO of search startup https://t.co/6qDswrQ1uj, is raising $1B for a new AI lab developing tech to automate AI research. He'll remain CEO at https://t.co/6qDswrQ1uj, he tells us. https://t.co/WNbLijm8dA
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we should stop i feel like this joke is stale now
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let a thousand ai labs bloom
.@ericzelikman & 7th Googler @gharik are raising $1b for an AI lab called Humans&. I'm told Eric's paper STaR was an inspiration for OpenAI's reasoning models, and that he was also one of the star AI researchers labs fought over.
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incredible that a few years ago ai-focused clouds like coreweave were just getting started and now they are a meaningful chunk of "ai cloud" revenue
Raymond James just said the AI cloud will be a $350B market by 2030. They think the split looks like this: • $MSFT 37% • $ORCL 35% • $CRWV 11% • $GOOGL 8% • $AMZN 7% • $NBIS 3% The wild part is Amazon at only 7%. AWS still has the largest base of enterprise
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video modeling with a lot of data is so beautiful
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two of my favorite things 👊
The maker of Oreos has trained their own video model for television advertising. They have invested $40 million, and say it cuts production costs by 30-50%. Video models are continuing to advance at a rapid rate, by next year it will be difficult to tell if an ad is AI generated.
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and some people don't know the value of a high quality data source
some startups raise seed rounds other startups are money laundering schemes (like bro wtf is a $133M seed)
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video datasets are so mesmerizing to watch
We currently take in about ~1000hrs of driving data every day. That means we get plenty of examples of quick reactions in unexpected scenes. Some examples:
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models labs will be allowed to train on anything. inference-time guardrails are the real solution against copyright, and this is a big step towards that reality.
Sora update #1: https://t.co/DC9ZpR7cSC
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