Q&A with investor Gavin Baker of Atreides Management on the economics of AI, data centers in space, mistakes SaaS companies are making in adopting AI, and more
In this episode of Invest Like The Best, Patrick O'Shaughnessy sits down with investor Gavin Baker to explore the rapidly evolving AI landscape.
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Discussion
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@patrick_oshag
Patrick OShaughnessy
on x
This is my fifth conversation with @GavinSBaker. Gavin understands semiconductors and AI as well as anyone I know and has a gift for making sense of the industry's complexity and nuance. We discuss: - Nvidia vs Google (GPUs + TPUs) - Scaling laws and reasoning models - The [video…
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@patrick_oshag
Patrick OShaughnessy
on x
“The most important thing in the next 3-4 years is data centers in space. In every way, data centers in space, from a first principles perspective, are superior to data centers on earth. In space, you can keep a satellite in the sun 24 hours a day. The sun is 30% more intense, [v…
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@nickadobos
Nick Dobos
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We are in the process of building the worlds biggest computer an AI super giant neocortex around the entire planet. Data centers in space will be real. Star link will make a bajillion dollars cuz they have the only working fast internet connection to the planet.
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@splehman
Sam Lehman
on x
Listened to this plus Gavin's ai thoughts post. He seems very confident in pre-training scaling laws holding and I'm just... not so sure? The argument is very focused on advancements in compute pushing pre-training but, definitionally, there needs to be commensurate increases in
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@philipjohnston
Philip Johnston
on x
“The most important thing that's going to happen in the world in the next 3-4 year is data centers in space” - @GavinSBaker We have the first Nvidia H100 operating in space at @Starcloud_Inc_ 🚀 [video]
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@patrick_oshag
Patrick OShaughnessy
on x
Gavin on how Blackwell and GB300 will end Google's position as the lowest-cost producer of tokens: “I think it's important that Google has been the lowest cost producer of tokens. And this is really important because AI is the first time in my career as a tech investor that [vide…
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@philipjohnston
Philip Johnston
on x
Thanks for the @Starcloud_Inc_ shoutout @GavinSBaker! 👌 “Especially when there is a working, albeit very small, datacenter in space *today* - Starcloud's orbital setup just successfully trained an LLM. Great name btw.”
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@gavinsbaker
Gavin Baker
on x
Starlink v3 will be 20 kilowatts and should have no thermal dissipation issues. Elon's stated plan is 100 kilowatts for each AI satellite; slightly less than a full Blackwell rack. Starship should be able to lift 10 to 15 megawatts to sun-synchronous orbit per flight.
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@deryatr_
Derya Unutmaz
on x
Amazing conversation with @GavinSBaker! I highly recommend it to anyone interested in the future of AI scaling!
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@clawrence
Craig Lawrence
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I really don't get this. Terrestrial power via gas & solar & batteries is very cheap. Build generation onsite and you don't have to pay for transmission. These are 30+ year assets. How is it remotely possible that this will be cheaper in space?
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@jackfarley96
Jack Farley
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Very good interview. In Gavin's view, “by far most plausible and scariest bear case” to AI & data center CapEx is Edge AI (running AI on devices, not from data centers)
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@patrick_oshag
Patrick OShaughnessy
on x
Gavin explains that the bear case for AI capex spend is on-device inference: “In three years, on a bigger phone, you'll be able to run a pruned-down version of Gemini 5, Grok 4, or ChatGPT. And that's free. This is clearly Apple's strategy - we're going to make it privacy-safe [v…
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@elonmusk
Elon Musk
on x
Yeah
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@elonmusk
Elon Musk
on x
@GavinSBaker Fools are determined to be fools. Trying to stop them from being so is futile.
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@gavinsbaker
Gavin Baker
on x
Deeply amused by all the confident commentary that datacenters in space do not work from a physics and engineering perspective. Elon operates two of the largest coherent GPU clusters in the world, SpaceX is responsible for over 90% of mass to orbit and SpaceX operates the
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@patrick_oshag
Patrick OShaughnessy
on x
Gavin on why it's a mistake for SaaS companies to resist AI because it has a lower margin structure: “When there's a transformative new technology customers are demanding, it's always a mistake not to embrace it. If you're trying to preserve an 80% gross-margin structure, you [vi…
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@pgelsinger
Pat Gelsinger
on x
Unless you have a technology that naturally operates at temperatures of 2-3 Kelvin and at extremely lower temperatures, the plan for data centers in space makes no sense. Oh, we have some good news — that is the natural temperatures of superconducting devices like
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@drphiltill
Phil Metzger
on x
It's crazy how quickly opinions flipped on this.