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Public evidence record

Kanjun Qiu

Published podcast speaker

Claims
20
Episodes
1
Shows
1
Named items
1

Books, apps, and tools

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other / built

Avalon

“At that time we built Avalon as a research environment to help us learn particular things.”

Latent Space · 14 Oct 2023

Evidence receipt · Source ↗

Claim ledger

What Kanjun said.

20 transcript-backed records

09 / belief

I think the rate at which we discover new capabilities of existing models and kind of like build hacks on top of them to make them work better is something that has been surprising and awesome.

“I think the rate at which we discover new capabilities of existing models and kind of like build hacks on top of them to make them work better is something that has been surprising and awesome.”
Speaker
Kanjun Qiu
Publisher
Latent Space

10 / belief

You know, I think when von Neumann made the von Neumann architecture, he was like, the biggest blocker will be like, we need this amount of memory, which is like, I don't remember exactly like 32 kilobytes or something to store programs.

“You know, I think when von Neumann made the von Neumann architecture, he was like, the biggest blocker will be like, we need this amount of memory, which is like, I don't remember exactly like 32 kilobytes or something to store programs.”
Speaker
Kanjun Qiu
Publisher
Latent Space

11 / belief

We believe that, and we have internally, I think some things that like an interface, for example, that lets me really easily like see what the agent execution is, fork it, try out different things, modify the prompt, modify like the plan that it is making.

“We believe that, and we have internally, I think some things that like an interface, for example, that lets me really easily like see what the agent execution is, fork it, try out different things, modify the prompt, modify like the plan that it is making.”
Speaker
Kanjun Qiu
Publisher
Latent Space

12 / preference

On the theoretical side, we like really believe in like deeply understanding, like when we actually fine tune on individual examples, like what's going on, when we're pre-training, what's going on, like debugging tools for these agents to understand like what's going on.

“On the theoretical side, we like really believe in like deeply understanding, like when we actually fine tune on individual examples, like what's going on, when we're pre-training, what's going on, like debugging tools for these agents to understand like what's going on.”
Speaker
Kanjun Qiu
Publisher
Latent Space

13 / commitment

They could potentially be our customers and they're trying out all sorts of interesting things. And I think being an investor, looking at the space from the other side of the table, it's just a different hat that I routinely put on.

“They could potentially be our customers and they're trying out all sorts of interesting things. And I think being an investor, looking at the space from the other side of the table, it's just a different hat that I routinely put on.”
Speaker
Kanjun Qiu
Publisher
Latent Space

15 / evaluation

I think the like whole like relay circuits can be thought of as can be mapped to Boolean operators and a set of other like theoretical breakthroughs, which essentially were abstractions.

“I think the like whole like relay circuits can be thought of as can be mapped to Boolean operators and a set of other like theoretical breakthroughs, which essentially were abstractions.”
Speaker
Kanjun Qiu
Publisher
Latent Space

17 / evaluation

On the market side, recruiting is a market that is endogenously high churn, which means because people start hiring and then we hire the role for them and they stop hiring.

“On the market side, recruiting is a market that is endogenously high churn, which means because people start hiring and then we hire the role for them and they stop hiring.”
Speaker
Kanjun Qiu
Publisher
Latent Space

19 / evaluation

That was like an improvement. But then we wrote programming languages with these higher levels of abstraction and that allowed a lot more people to do this and much faster.

“That was like an improvement. But then we wrote programming languages with these higher levels of abstraction and that allowed a lot more people to do this and much faster.”
Speaker
Kanjun Qiu
Publisher
Latent Space
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