Evidence receipt / recommendation
Published · transcript-backedAlessio Fanelli: recommendation
5 May 2023 Latent Space No Moat: Closed AI gets its Open Source wakeup call — ft. Simon Willison
“Yeah. So if I were a founder today, I wouldn't worry as much about the model, maybe, but I would say, okay, what can I build into my product and like, or what can I do at the engineering level that maybe it's not model optimization because everybody's working on it, but like you said, it's like, why haven't people thought of this before?”
Source trail
Everything needed to verify it.
- Speaker
- Alessio Fanelli
- Attribution
- Verified speaker
- Claim type
- recommendation
- Recorded
- 5 May 2023
- Publisher
- Latent Space
Transcript context
…And I mean, this is kind of related to the post, right? Like if you stop all of a sudden we're like, the models are all the same and we can improve them. Like, where can we get the improvements? You know, it's like, Better run times, better languages, better tooling, better data collection. Yeah. So if I were a founder today, I wouldn't worry as much about the model, maybe, but I would say, okay, what can I build into my product and like, or what can I do at the engineering level that maybe it's not model optimization because everybody's working on it, but like you said, it's like, why haven't people thought of this before? It's like, it's, it's definitely super hard, but I'm sure that if you're like Google or you're like open AI or you're like, Databricks, we got smart enough people that can think about these problems, so hopefully we see more of this. You need, Alan? Okay. I promise to keep this relatively tight. I know Simon on a beautiful day. It is a very nice day in California. I wanted to go through a few more points that you have pulled out Simon and, and just give you the opportunity to, to rant and riff and, and what have you. I, I, are there any other points from going back to the sort of Google OpenAI mode documents that, that you felt like we, we should dive in on?…
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