whether you then go on to say that forms of xeno-intelligence actually are able to retrochronically inject cognitive material into ancient cultures, is a more controversial suggestion.
- Nick Land
We’ve raised a $465 million Series G funding round at $15.5B post-money valuation to accelerate the commercial deployment of fusion.
Read more here: https://t.co/y67OAnQlah
World Labs CEO Dr. Fei-Fei Li: "The world is not made of words."
"Language models have given machines an extraordinary command of concepts, vocabulary, and reasoning, but the physical world, virtual or real, runs on a different substrate."
"Where language models learn the statistical structure of text, world models learn the statistical structure of space and time: how light falls on a surface, how a garden looks from an angle no camera has captured, how objects respond to force and follow the laws of physics."
"Language gave machines a way to talk about that world. World models are how machines will finally come to understand, imagine, reason and interact with it."
Full piece: https://t.co/C9qOJg5wuc
real world run with @NVIDIAAI Cosmos 3
Ran every frame of a 15s highway clip (450 frames @ 30fps) through LocateAnything-3B on DGX Spark:
- 450 frames × 14,105 boxes — every frame, real detections
- 5.2s/frame avg (vs 12.7 BPS on H100) — GB10 holds its own
- 7.8 GB VRAM — fits with room to spare on 128GB unified
- IoU tracking + lane assignment — real trajectories, not synthetic
cc: @PavloMolchanov
insane how the things that run the world today are emergent properties of decisions made by people who are mostly dead and gone.
capitalism, computers, even language itself. nobody designed them to do what they do. they became things through accumulation and feedback
still trying to articulate it, but I’ve been thinking a lot about how cities are machines for amplifying human potential (and) dysfunction both at the same time
instead of watching 2 hours of Netflix tonight, watch this 40-minute masterclass from the founder of a $20B China AI company
it's the clearest explanation I've seen of how Agent Swarms and AI systems actually work at scale
useful whether you've never built an agent in your life or have been using Claude every day for the past year
I took the key ideas and turned them into a practical guide on how to actually build with Kimi
find it below
this is so good it has drastically changed my workflow + it’s the cheapest setup I’ve run in the last few months
Opus 4.7 to orchestrate and V4-Pro does all the code generation, then Opus4.7 again to recursively validate and review the output
some real opportunities for world models are springing up. I don’t think anyone can build a better general model than NVIDIA (very hard)
maybe the best long term bets could be vertical-specific world models with proprietary domain data like surgical robotics, warehouse manipulation, food prep etc. and your ideal customers pay for outcomes, not inference.
world understanding, multimodality, and editing are three genuinely hard problems to solve. If this model genuinely solves all three like the demo is showing, then it would be one of the most significant AI releases in recent times.
We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video.
It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵
We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video.
It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵