Nathan Lambert
speaker
1,814 appearances
3 recordings
2 series
first heard Feb 2025
last heard 1 Feb
Nathan Lambert’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 2 in all, peaking in Feb 2026 with 1.
Appearances
which is the opposite of the discussion to try to watermark AI images.
Then you can make a Google image that has a watermark and use a different Google tool to remove the watermark.
I think we will.
I'm definitely a worrier, both about AI and non-AI things, but humans do tend to find a way.
I think that's what humans are built for, is to have community and find a way to figure out problems, and that's what has gotten us to this point.
And I think that
The AI opportunity in related technologies is really big.
And I think that there's big social and political problems to help everybody understand that.
And I think that that's what we're staring at a lot of right now.
It's like the world is a scary place and AI is a very uncertain thing.
And it takes a lot of work that is...
Not necessarily building things.
It's like telling people and understanding people that the people building AI are historically not motivated or wanting to do.
But it is something that is probably doable.
It just will take longer than people want.
We have to go through that long period of hard, distraught AI discussions if we want to have the lasting benefits.
Today on the AI Daily Brief, the skills we need to develop for the Code HEI era.
The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.
First of all, today's episode is brought to you by Zencoder, robots and pencils, and Super Intelligent.
Yeah. So there's two main techniques that they implemented that are probably the majority of their efficiency. And then there's a lot of implementation details that maybe we'll gloss over or get into later that sort of contribute to it. But those two main things are, one is they went to a mixture of experts model, which we'll define in a second.
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