The AI ponzi scheme goes like this:
Everyone is generating all these long ass docs and then passing them off for others to read
Then the person receiving is like, wtf this is way too long, and hands that into an AI to read and summarize
Then they are generating a long ass response back
and this cycle goes like that forever. and we call this work now ๐
The token lords watch this from their towers nodding and grinning.
Let's assume there's an llm/ai that is something like a person. And now everyone knows and talks to that Person. And the Person knows and understands everyone. There's so much more potential if only it could learn and evolve and operate with that much context.
There must be a law describing how a hype spins out of control with cherry picked results, crafted demos and inflated promises. And how the real progress is ignored because it is not as impressive. @grok - what is it?
In my recent blog post, I argue that "vision" is only well-defined as part of perception-action loops, and that the conventional view of computer vision - mapping imagery to intermediate representations (3D, flow, segmentation...) is about to go away.
https://t.co/aFmE9CHHau
Meet SceneSmith: An agentic system that generates entire simulation-ready environments from a single text prompt.
VLM agents collaborate to build scenes with dozens of objects per room, articulated furniture, and full physics properties.
We believe environment generation is no longer the bottleneck for scalable robot training and evaluation in simulation.
Website: https://t.co/UZklSkJe9V
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