Ethan He
speaker
722 appearances
1 recordings
1 series
first heard Jun 2026
last heard 1 Jun
Ethan He’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.
Appearances
They generate many, many variations.
Yeah, but once these models pass this usability threshold, I think it's going to be an exponential growth beyond that.
I think robotics will be a big part of it for sure.
I guess the process might happen naturally.
So my prediction on robotics is that the problem of physical AI might be solved without actually need to be in the real world.
So it might get solved by a video.
An LLM is very strong video capability.
So remember we talked about the real-time interactive long-horizon video?
So now these models are just training on screen recordings and computer screens.
Once these models can use computers and understand the future state of computer extremely well, the robots might be one of the tools a very powerful AI can use.
So the powerful AI might just be able to control the physical embodiment naturally.
For me, there's a lot of research you want to do that you cannot do as a company.
And also the priorities and objectives of a company typically can change very fast.
It's also the same for XAI.
So now is kind of like the time to do some research I want to do, especially more on language model side.
I cannot do at XAI.
I realized the fact that the video models, even in the beginning, the gain might come from improvement on diffusion technology.
But this is the point where actually most of the gain come from the language models themselves.
I think one thing pretty interesting, I think might be happening soon, is the language models will be context-aware and manage its own context.
So from the video model side, we've been suffering from this long horizon issue, like we want to generate video longer and longer.
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