DeepSeek Panic, US vs China, OpenAI $40B?, and Doge Delivers with Travis Kalanick and David Sacks
Jason Calacanis (host), David Friedberg (host), Chamath Palihapitiya (host), Travis Kalanick (guest), Narrator, David Sacks (host), Chamath Palihapitiya (host), David Friedberg (host), Narrator
In this episode of All-In Podcast, featuring Jason Calacanis and David Friedberg, DeepSeek Panic, US vs China, OpenAI $40B?, and Doge Delivers with Travis Kalanick and David Sacks explores china’s DeepSeek Shocks AI World; DOGE Slashes U.S. Spending Fast This All-In episode weaves together three big threads: Travis Kalanick’s vision for automated food infrastructure, the shockwave from China’s DeepSeek R1 AI model, and the Trump administration’s early DOGE-driven spending cuts. Kalanick details how CloudKitchens is building real estate, software, and robotics to industrialize and personalize food at grocery-level prices, while drawing lessons from China’s hyper-innovative food and logistics ecosystem.
China’s DeepSeek Shocks AI World; DOGE Slashes U.S. Spending Fast
This All-In episode weaves together three big threads: Travis Kalanick’s vision for automated food infrastructure, the shockwave from China’s DeepSeek R1 AI model, and the Trump administration’s early DOGE-driven spending cuts. Kalanick details how CloudKitchens is building real estate, software, and robotics to industrialize and personalize food at grocery-level prices, while drawing lessons from China’s hyper-innovative food and logistics ecosystem.
David Sacks breaks down why DeepSeek’s open-sourced reasoning model matters geopolitically, why its $6M training-cost claim is misleading, and how likely model distillation from OpenAI’s systems raises both IP and cloud-security questions. The besties debate whether foundation models will commoditize, shifting value to applications, data moats, and specialized ‘mixture of experts’ architectures.
They then zoom out to U.S.–China competition, export controls, and how constrained Chinese engineers innovated around CUDA and compute limits. Finally, they examine DOGE’s first 10 days—federal buyouts, RTO mandates, lease cancellations—and connect government austerity, interest rates, and AI-driven productivity to America’s fiscal survival.
The episode closes with concerns about outdated aviation safety systems after the DC crash, arguing for automation and software upgrades in air traffic control and cockpit systems as another frontier where AI and modern engineering can save lives.
Key Takeaways
Food production is being re-architected as infrastructure: real estate + software + robotics.
Kalanick positions CloudKitchens as ‘AWS/NVIDIA for food’—owning delivery-only kitchen real estate, proprietary automation like the Bowl Builder, and software that lets brands run virtual restaurants. ...
Get the full analysis with uListen AI
DeepSeek’s real innovation is less the $6M headline and more its technical workarounds under constraint.
Sacks and Chamath argue the $6M figure is just the final training run, not total R&D or hardware, which likely exceeds $1B in GPUs. ...
Get the full analysis with uListen AI
Model distillation is probably widespread, blurring IP lines and forcing cloud providers into a policing role.
Multiple top AI people Sacks spoke with believe DeepSeek heavily trained on OpenAI outputs. ...
Get the full analysis with uListen AI
Foundation models are rapidly commoditizing; durable value likely shifts to data, distribution, and domain-specific systems.
The group converges on the view that large general models depreciate fast—Gavin Baker’s ‘fastest-depreciating asset’ line is cited. ...
Get the full analysis with uListen AI
China’s trajectory shows how copycatting evolves into genuine innovation and market leadership.
Kalanick recounts Uber’s China battles, where Didi copied every product feature in weeks, forcing Uber to build a 400-person China team in SF. ...
Get the full analysis with uListen AI
DOGE’s early moves demonstrate how executive-branch friction can slash spending without new legislation—if courts allow it.
Within ~10 days, DOGE is claiming ~$1B/day in taxpayer savings via voluntary federal buyouts (≈8 months severance), strict return-to-office orders (to drive attrition), and aggressive lease cancellations of underused office space. ...
Get the full analysis with uListen AI
Autonomy and AI are colliding with hard physical constraints: grid power, real estate, and policy.
Kalanick notes that if all California miles went to EV ride-hail, the state would need roughly double its power-generation capacity; even adding 10–20% is a decade-scale challenge. ...
Get the full analysis with uListen AI
Notable Quotes
“If you can get that cost down to the cost of going to the grocery store, you do to the kitchen what Uber did to the car.”
— Travis Kalanick
“Constraint makes for great art. DeepSeek had to invent their way around compute limits, and they did things the West didn’t because we weren’t forced to.”
— Chamath Palihapitiya
“The fastest depreciating asset in the world is a large language model.”
— Referenced by Jason Calacanis (attributing Gavin Baker)
“Cheap AI makes cheap autonomy. As AI costs drop, autonomy just gets easier and easier.”
— Travis Kalanick
“If we took 2019 spend and put it up against 2024 revenues, we’d have a $500 billion surplus. Versus the $1.5 trillion deficit. That’s all waste.”
— Chamath Palihapitiya
Questions Answered in This Episode
For CloudKitchens: How are you navigating brand skepticism and regulatory hurdles around fully automated food preparation, especially when your infrastructure is invisible to end consumers?
This All-In episode weaves together three big threads: Travis Kalanick’s vision for automated food infrastructure, the shockwave from China’s DeepSeek R1 AI model, and the Trump administration’s early DOGE-driven spending cuts. ...
Get the full analysis with uListen AI
On DeepSeek: What technical evidence would most convincingly prove or disprove that DeepSeek’s reasoning samples were primarily distilled from OpenAI’s models rather than collected from public web output?
David Sacks breaks down why DeepSeek’s open-sourced reasoning model matters geopolitically, why its $6M training-cost claim is misleading, and how likely model distillation from OpenAI’s systems raises both IP and cloud-security questions. ...
Get the full analysis with uListen AI
On AI business models: If mixture-of-experts and small specialized models become dominant, how should startups structure their ‘shim’ layers today to avoid lock-in yet still exploit model-specific capabilities like tools and retrieval?
They then zoom out to U. ...
Get the full analysis with uListen AI
On DOGE: When DOGE starts revealing specific IT contracts and vendor deals it deems wasteful, what due-process or appeals mechanism should exist to ensure cost-cutting doesn’t quietly cripple critical federal capabilities?
The episode closes with concerns about outdated aviation safety systems after the DC crash, arguing for automation and software upgrades in air traffic control and cockpit systems as another frontier where AI and modern engineering can save lives.
Get the full analysis with uListen AI
On autonomy and grids: Given Kalanick’s estimate that full EV ride-hail in California would require roughly doubling power capacity, what concrete policy or market mechanisms could realistically align utilities, regulators, and private capital to upgrade the grid fast enough without triggering an energy affordability crisis?
Get the full analysis with uListen AI
Transcript Preview
All right, everybody. Welcome back to the All-In podcast. We've got an incredible crew today. Don't forget to go to our YouTube, blah, blah, blah, subscribe. And make sure you check out Freeberg's surprise drop with his hero, Ray Dalio, live on all platforms today. How did that come about, Freeberg? A little surprise drop.
Just great. Was talking with Ray about his new book, which he just published, on how countries go broke. Obviously, very important topic.
Which country is going broke now, Freeberg? America?
Well, I think he talks a lot about the historical context of what's gone on with the debt cycles in different countries and... Basically, at the end of the book he has a pretty, uh, I think, important recommendation to try and get the US to roughly 3% of GDP as our net deficit. Net of all expense, including interest expense. So, that's the recommendation to the administration. I think it's pretty timely, uh, with the change in administration. Anyway, great topics to talk through and really important book.
Awesome. Well done. And we are super delighted to have, in the red throne, Travis Kalanick. He is the co-founder and CEO of CloudKitchens. He also, uh, worked in the cab business for a little bit.
Yeah.
Co-founder and former CEO of Uber. And, uh, yeah, we had a great interview at the All-In summit last year. And he's back up from his media hiatus. He's been in the lab, working on CloudKitchens. How you doing, brother?
I'm doing really well. I- I got to say, just like at the summit, Jason, I- I'm-
Yes.
It's an honor to be in the presence of such a prominent Uber investor.
(laughs)
Absolutely, absolutely.
(laughs)
I mean, finally somebody has recognized (laughs) my-
The greatness.
... contribution.
The greatness of J-Cal. Yes.
Absolutely.
I'll mention it three or four times.
Yeah.
We'll bo- it- it's all good.
Appreciate it, brother.
I'll give you the props. You don't have to do it for yourself anymore.
(laughs)
Thank you. Appreciate that. Appreciate that.
Let your winner slide. Rain Man, David Sa- And I said we open source it to the fans and they've just gone crazy with it. Love you, SI. Queen of Kinwa. I'm going all in.
Give everybody a little overview of CloudKitchens and the business and-
Yeah.
... uh, how it's going because people are obviously addicted to ordering food at home.
Yeah.
And, uh, it's- it's quite a trend.
Yeah. I mean, the- the high level for it, the way to think about it, is it's- it's about the future of food. What does the future of food look like? You go, well, in 100 years... We'll start way out there. In 100 years you're gonna have very high quality food, very low cost, that's incredibly convenient. And there are gonna be machines that make it, there are gonna be machines that get it to you. And it's gonna be exactly to your dietary preferences, your food preferences, et cetera, and it just comes to you. And it's so inexpensive that it approaches, or has surpassed, the cost of going to the grocery store. That's more of a, like, a today analogy.
Install uListen to search the full transcript and get AI-powered insights
Get Full TranscriptGet more from every podcast
AI summaries, searchable transcripts, and fact-checking. Free forever.
Add to Chrome