PaLM
product on 9 shows · 4 statements across 3 episodes · said 49 times in 17 episodes since 2019
No Priors 13 
Lenny's Podcast 9 
Latent Space 8 
20VC 8 
the MAD Podcast 5 
TBPN 3 
the Official SaaStr Podcast 1 
Capital Allocators 1 
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Mentions by year, every show
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No Priors 13Lenny's Podcast 920VC 8Latent Space 8the MAD Podcast 5TBPN 3the Official SaaStr Podcast 1Capital Allocators 1
2026 3 mentions in 2 episodes 2 per episode
2025 17 mentions in 5 episodes 3 per episode
- Why Uber’s CPO delivers food on weekends | Sachin Kansal
- Google’s Genie 3 Builds Game Maps From a Single Prompt
- The AI Coding Agent Revolution, The Future of Software, Techno-Optimism | Amjad Masad, CEO, Replit
- No Priors Ep. 108 | With Abridge Founder and CEO Shiv Rao, MD
- Solve coding, solve AGI [Reflection.ai launch w/ CEO Misha Laskin]
- every mention in 2025, scene by scene →
2024 6 mentions in 2 episodes 3 per episode
2023 20 mentions in 6 episodes 3 per episode
- No Priors Ep. 17 | With Karan Singhal
- Emad Mostaque: These 5 Companies Will Win the AI War; Why We Need National Data Sets | E1015 · 20VC with Harry Stebbings
- No Priors Ep. 3 | With Stability AI’s Emad Mostaque
- The Ultimate AI Roundtable: What Happens Now in AI, Why Google are Vulnerable | E1085 · 20VC with Harry Stebbings
- Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
- Alex Lebrun: Why the EU's AI Regulation is a Disaster; How Zuck Prepares for Meetings | E1027 · 20VC with Harry Stebbings
- every mention in 2023, scene by scene →
2022 1 mention in 1 episode
2019 1 mention in 1 episode
every mention on every show, scene by scene, with the transcript →
4 statements about PaLM, every show
Kansal: Third- and fourth-place consumer players cannot compete without unique angles
“In consumer markets, if you are player number three or player number four, it's a little hard because the two top players are going to compete with each other so ferociously that it's, especially if they're scale players like Apple and Google, it's difficult f…”
Luan: Google's TPU team had under 500 people on a shoestring budget
“I think the TPU team when I was at Google was, like, sub-five hundred people and their budget was a shoestring budget, and yet somehow every generation they taped out quite good chips that were then used to train Gemini and Palm and are used by third parties n…”
Singhal: Google's 540B PaLM was the largest densely activated model in 2022
“The first Palm model was released in twenty-twenty-two, which was kind of this 540 B decoder only transformer model at the time, the largest densely activated model.”
Singhal: Med-PaLM and Med-PaLM 2 were trained without patient health information
“Like for example, MedPOM and MedPOM-II are trained without any patient health information. They, they're just kind of taking all the knowledge of POM and POM-II and then just kind of Aligning them and making them behave in a certain way.”