Anj Midha
speaker
721 appearances
1 recordings
1 series
first heard Apr 2026
last heard 14 Apr
Anj Midha’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 Apr 2026 with 1.
Appearances
There's no saturation in superconductor discovery, for example, at all.
The bitter lesson is holding is well and alive.
So there's four or five.
It's context feedback, which I'm happy to talk about.
It's compute.
There's capital, which you need to like continuously sort of deploy the compute and context feedback loops.
And then there's culture.
And I think that culture actually might be the most important bottleneck of all time.
But those are the four, I would say.
Now, look, algorithmic innovation, I think, is a function of culture, basically.
Because if you have the right culture, you get to attract the best researchers.
The best researchers, the best research talent then wants to work on pushing the frontier.
And algorithmic innovation just falls out of having a really good team that's very flexible on what kind of architecture they want to use.
If you have the right culture, the algorithmic innovation bottleneck solves itself.
Because then the researchers are not focused or like tied to one architecture versus another.
They're not going, I'm all in on LLMs or transformers versus diffusion models.
The best scientists and researchers just want to solve the problem, the mission.
And if you have a very mission driven culture where they're like, we want to move the frontier of coding or the frontier of material science, the algorithmic stuff takes care of itself.
That's actually not the bottleneck anymore in my view.
Two, three years ago, that was a huge bottleneck where we were trying to figure out which algorithms scale.
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