Sarah Catanzaro
12 statements across 1 episodes · 5 bullish · 2 bearish · 1 people on the record · first statement Apr 3, 2023 by Sarah Catanzaro · said 3 times in 2 episodes since 2021 · across every show →
On the record as a speaker too: Sarah Catanzaro's record, appearances and statements → this page counts the times other people say the name.
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brought up most by Abe Gong (2), Jorge Gomez Sancha (1)
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2023 1 mention in 1 episode
Everything said about Sarah Catanzaro, oldest first
Apr 3, 2023
Apr 3, 2023 negative
Apr 3, 2023 bullish
Catanzaro: Value in AI will accrue at both application and infrastructure layers
“I don't think we'll see that value is accruing exclusively at the infralayer or the app layer. We haven't seen that in any other paradigm shift. Again, if you think about, you know, mobile, if you think about like social networks, et cetera, there was value at…”
Apr 3, 2023
Catanzaro: Technical founders shouldn't learn business functions from first principles
“I find myself constantly, like, reminding technical founders, including those within the Amplify portfolio, that, like, they don't need to learn things from first principles, or even from experimenting, like, They can just ask people who know how to do it, and…”
Apr 3, 2023 bullish
Catanzaro: AI infrastructure adoption will surge after teams struggle without proper tools
“It feels like right now some of the value at the app layer can be captured immediately. Whereas the value at the infra layer will expose itself over time because so many of these companies who are, you know, trying to integrate LLMs into their existing product…”
Apr 3, 2023
Apr 3, 2023 positive
Catanzaro: Prototyping LLM applications no longer requires a dedicated ML team
“It is so much easier to prototype LLM driven applications. You no longer need to hire an ML team before you can even determine, before you can even run an AB test or experiment to determine, like, if there, if this is something that users like.”
Apr 3, 2023 neutral
Apr 3, 2023 bullish
Catanzaro: AI startups must reimagine workflows rather than iterate existing tools
“And I think that that is the promise of LLMs and startups. It's not to build better versions of things that exist today, but rather to kind of reimagine some of the tools and systems that we use in an LLM centric way.”
Apr 3, 2023
Apr 3, 2023 bullish
Apr 3, 2023 negative
Catanzaro: Modern data tools are over-engineered for daily analyst workflows
“So many of the kind of data tools and systems that people use today, they're optimized for big data. They're optimized for running a point query across petabytes of data in milliseconds which is not the work that most data analysts and analytics engineers are …”