Duderstadt: Separating classical and generative AI engineers is a false dichotomy
Brandon Duderstadt · How Nomic AI Is Driving The Open Source Revolution · Feb 1, 2024 · at 41:19
Brandon Duderstadt, CEO and co-founder of Nomic AI, responds to host Matt Turck asking whether AI startups need generative AI-native talent versus traditional AI engineers.
0:00 / 0:07exact quote · 7.1s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“It's a false dichotomy. Yeah. That's a false dichotomy. You need all the above and it's questionable if that's even like a distinction that should be made.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Brandon Duderstadt
Duderstadt: No top benchmark AI embedding models release their datasets
“And as far as we're aware, none of the other, you know, top models on any of these benchmarks have gone out and released their data sets.”
Duderstadt: Unequal access from market consolidation is the top AI risk
“What I would say the number one risk of this technology is, which is the sort of unequal access element to it. Like the version of the world that I fear most is like, there's two or three mega companies that like lock everything down in like the early days.”
Duderstadt: New York is a strong candidate for global AI nexus
“If I were to bet on where like the global nexus necessarily would be, like if you're accounting for the fact that like, you know, there are things happening outside of the US, I think New York is a very strong candidate.”
Duderstadt: Nomic's enterprise sales funnel is literally Twitter, Discord, then sales
“Our sales funnel is literally like Twitter to discord to enterprise sale.”
Duderstadt: Training data is almost always the secret sauce of AI models
“The data is often the secret sauce. Like when people talk about like, oh, what is the secret sauce of your AI model? It's almost always the data.”
Duderstadt: Dataset curation unlocks AI model utility in high-stakes domains
“When you're working in these domains that are, you know, like defense and medicine and finance, where it's like super high impact and you really have a vested interest in your models being right, you start to learn very quickly that a lot of the A lot of the u…”