High Signal Podcasts Evidence ledger
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Public evidence record

Beyang Liu

Published podcast speaker

Claims
25
Episodes
1
Shows
1
Named items
2

Books, apps, and tools

The evidenced stack.

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tool / uses

Google Code Search

“I used Google Code Search while I was an intern. And then after I left that internship and worked elsewhere, it was the single dev tool that I missed the most. I felt like my job was just a lot more tedious and much more of a hassle without it.”

Latent Space · 14 Dec 2023

Evidence receipt · Source ↗

app / uses

Starcoder

“Like we run Starcoder on top of Fireworks and that's made it so that we just don't have to think about building up an inference stack. And so that's great for us because it allows us to focus more on the kind of like data fetching, the knowledge graph and model fine tuning, which we've also invested a bit in.”

Latent Space · 14 Dec 2023

Evidence receipt · Source ↗

Claim ledger

What Beyang said.

3 transcript-backed records

01 / evaluation

Like, it definitely moves the needle a lot, but we're not quite there yet to the point where you can just fire and forget. And I actually think that this is something that people don't broadly appreciate yet, because I think that, like, everyone's chasing this dream of agentic execution.

“Like, it definitely moves the needle a lot, but we're not quite there yet to the point where you can just fire and forget. And I actually think that this is something that people don't broadly appreciate yet, because I think that, like, everyone's chasing this dream of agentic execution.”
Speaker
Beyang Liu
Publisher
Latent Space

02 / evaluation

I think that's a very real concern in today's day and age, because like if your proprietary IP finds its way into the training set of any model, it's very easy both to like extract that knowledge from the model and also use it to, you know, build systems that kind of work on top of the institutional knowledge that you've built up.

“I think that's a very real concern in today's day and age, because like if your proprietary IP finds its way into the training set of any model, it's very easy both to like extract that knowledge from the model and also use it to, you know, build systems that kind of work on top of the institutional knowledge that you've built up.”
Speaker
Beyang Liu
Publisher
Latent Space

03 / evaluation

If the worst case played out, then I think we'd have a lot of customers, you know, the day after being like, you know, how can you guarantee the reliability of your services if the company itself isn't stable? But I'm really happy they got things sorted out and things are stable now because, like, they build really cool stuff and we love using their tech.

“If the worst case played out, then I think we'd have a lot of customers, you know, the day after being like, you know, how can you guarantee the reliability of your services if the company itself isn't stable? But I'm really happy they got things sorted out and things are stable now because, like, they build really cool stuff and we love using their tech.”
Speaker
Beyang Liu
Publisher
Latent Space
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