Jieyu (Eric) Lin

Research Scientist @meta. Prev. PhD @UofT. Entrepreneur. Work on distributed & efficient ML. opinions are my own

[Jieyu (Eric) Lin @jyericlin]

Distributed intelligence with specialized agents really resonates.
Collaboration between agents that are tailored for special tasks and compute is what will get us to efficient and economic deployment.

[Google DeepMind @GoogleDeepMind]

What happens when millions of AI agents start negotiating, transacting, and delegating to one another?

@weballergy joined our podcast with @fryrsquared to explore the rise of agentic economies – and how we can diversify agent decision-making to avoid AI groupthink.

Timecodes:
00:00 Intro
1:07 Defining AI agents
4:44 Agentic exploration in science and research
15:46 Delegation between agents
22:46 Agentic security and traps
29:31 Building an agentic economy
33:22 Cognitive monoculture
36:29 Distributed intelligence

[eran shir @eranshir]

Most Physical AI models recognize patterns.
They don’t understand the world.

That’s why they fail on edge cases.

BADAS 2.0 is a V-JEPA2 world model trained by @getnexar on real-world videos.

We used the model to find what it didn’t understand, then trained on that.

It generalizes. And we built lite versions so it runs on edge devices, even CPU.

Understanding is the only way this scales.

See how it performs on your own videos. Link in first comment.

[Amir Bar @_amirbar]

introducing V-JEPA 2.1 - our best video SSL representations to date.

Improvements on dense prediction tasks, world modeling, and more!

https://t.co/XWPawXenVM

[Jieyu (Eric) Lin @jyericlin]

@karpathy So are we in the age of mainframe for AI now? Personal computer (personal AI) will be next then?

[Jieyu (Eric) Lin @jyericlin]

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