Investor Gavin Baker examines wafer shortages and power limits as constraints on AI scaling along with orbital data centers and Elon Musk's Terafab project · Digg

/Tech41d ago

Investor Gavin Baker examines wafer shortages and power limits as constraints on AI scaling along with orbital data centers and Elon Musk's Terafab project

Episode also covers Cerebras IPO and TSMC foundry strategies.

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Original post

John Coogan#410

SemiAnalysis@SemiAnalysis_#1173inTech

@FabricatedKnowledge answers if the AI Market is truly a bubble, or if we're just completely rewriting the global economy. @tbpn

Chapters 0:00 — Guest Intro & Cerebras IPO Breakdown 1:24 — Chip Architecture & Hardware Bottlenecks 5:29 — Grok LPUs, Nvidia, and the Inference Ecosystem 9:15 — The Big Foundry Play: AMD, Intel, and TSMC 11:53 — The ASIC Startup Landscape & Geopolitics 18:04 — The Domestic Data Center Infrastructure Crisis 21:33 — Space Data Centers & Sovereign AI Geography 25:31 — Market Hype, Bubble Math, and the Next Dot-Com 29:38 — Macroeconomics, Robotics, and Gross Token Production (GTP) 33:56 — Outro: Does SemiAnalysis Need an Arch Nemesis?

4:02 PM · May 19, 2026 · 17K Views

Sentiment

Positive users praised Gavin Baker's insights on wafer shortages limiting AI growth and preventing a bubble as thoughtful and valuable in the interviews, while negative users dismissed him as a fraud lacking real expertise.

Pos

71.7%

Neg

28.3%

162 comments with sentiment.

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Gavin Baker on Orbital Compute, TSMC, and Frontier Models

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VIEWS999.8KBOOKMARKS2.6KLIKES1.4KRETWEETS145REPLIES55

Patrick OShaughnessy@patrick_oshag

This is my sixth conversation with @GavinSBaker.

As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers.

We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source

Enjoy!

Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

41d999.8K1.4K2.6K

Shaun Maguire@shaunmmaguire

This was one of the best podcasts I’ve ever listened to

@GavinSBaker is at the top of his game

Incredible synthesis of knowledge here

Patrick OShaughnessy@patrick_oshag

This is my sixth conversation with @GavinSBaker.

As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers.

We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source

Enjoy!

Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

40d254.2K1.2K1.5K

Patrick OShaughnessy@patrick_oshag

Gavin Baker: "I've been optimistic that the fundamental shortage of wafers, which is really controlled by Taiwan Semi, will prevent a bubble."

"If Taiwan Semi did what Jensen wanted, Nvidia could sell $2 trillion of GPUs in 2026 or 2027.

But there is a limit where consumers would consume so much that you'd probably be in an overbuild.

And you are starting to see companies go to Intel and Samsung.

A lot of this may come down to the degree to which Taiwan Semi can maintain a lead over Intel and Samsung and the pace at which they expand capacity.

If I were to watch one thing to understand whether there's a bubble, it's Taiwan Semi's capacity decisions.

There's a Goldilocks zone where they expand enough to make it hard for Intel or Samsung to emerge as a second source, but they also keep the fundamental constraint on wafers that helps us avoid a bubble."

Patrick OShaughnessy@patrick_oshag

This is my sixth conversation with @GavinSBaker.

As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers.

We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source

Enjoy!

Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

40d478.2K876562

Dylan Patel@dylan522p

Banger take

Patrick OShaughnessy@patrick_oshag

Gavin Baker: "I've been optimistic that the fundamental shortage of wafers, which is really controlled by Taiwan Semi, will prevent a bubble."

"If Taiwan Semi did what Jensen wanted, Nvidia could sell $2 trillion of GPUs in 2026 or 2027.

But there is a limit where consumers would consume so much that you'd probably be in an overbuild.

And you are starting to see companies go to Intel and Samsung.

A lot of this may come down to the degree to which Taiwan Semi can maintain a lead over Intel and Samsung and the pace at which they expand capacity.

If I were to watch one thing to understand whether there's a bubble, it's Taiwan Semi's capacity decisions.

There's a Goldilocks zone where they expand enough to make it hard for Intel or Samsung to emerge as a second source, but they also keep the fundamental constraint on wafers that helps us avoid a bubble."

40d154K804366

Patrick OShaughnessy@patrick_oshag

Gavin on why Elon's new chip fab, Terafab, will be successful:

"One, they have a partnership with Intel, which is very important. They're getting access to 50 years of institutional knowledge.

The A teams at the semi cap equipment companies will be working with them. ASML, KLA, Lam Research, Applied Materials.

One big reason Taiwan Semi caught up is those companies wanted them to catch up. They don't like having a monopsony.

And Elon is a living deity in China, Taiwan, South Korea, and Japan.

He's going to recruit the best people because the best engineers want to work for him, especially in hardware engineering.

Then next to Terafab, there'll be a Taiwan Town. 'These are your favorite restaurants? I'm going to move them and their whole staff from Taiwan to Texas.' Then we'll have Japan Town. Then Korea Town.

That's just not the way the people who run Intel and Samsung think.

So he's going to have the best talent, the A teams at the wafer fab equipment companies and he has Intel.

And it's different enough that it will not alienate Taiwan Semi."

Patrick OShaughnessy@patrick_oshag

This is my sixth conversation with @GavinSBaker.

As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers.

We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source

Enjoy!

Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

40d242K913308

Gavin Baker@GavinSBaker

Always enjoy my conversations with @patrick_oshag

Points if you can guess whose office this was filmed in.

Also looks like I might need to up my dose of Tirzepatide. 😂

41d103.3K513321

Patrick OShaughnessy@patrick_oshag

In our last conversation, Gavin said data centers in space will be the most important thing in 3-4 years.

He explains that means "racks in space" and thinks orbital compute will solve the watts shortage:

"When people hear data centers in space, they picture a Pentagon-sized building in space. That's not what it is.

A Blackwell rack weighs 3,000 pounds. It's eight feet high. Four feet deep. Three feet wide.

It's racks in space. It has these solar wings that are probably 500 feet long on each side.

You keep it in a Sun-synchronous orbit, so those solar panels are always in the sun.

And then because it's in an exactly Sun-synchronous orbit, the radiator, which extends behind it for hundreds of feet is in the shade.

You link these racks using lasers traveling through vacuum which are already on every Starlink.

SpaceX operates the world's largest satellite fleet, which is 98 or 99% of all satellites in orbit. Every Starlink, they're cooling it today.

I think Starlink V3 is going to operate at 20 kilowatts. A Blackwell rack is only 100 kilowatts.

And people talk a lot about density. Well, if you're connecting the racks with lasers through vacuum, you can make the rack bigger physically.

In space, there's all sorts of things that SpaceX can do. They also now operate the largest data center on Earth.

I've spent a lot of time at Starbase over the years, and I've talked to a lot of SpaceX engineers.

It is the most talented group of engineers on planet Earth, and they're very confident they have solved this."

Patrick OShaughnessy@patrick_oshag

This is my sixth conversation with @GavinSBaker.

As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers.

We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source

Enjoy!

Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

40d235.5K483294

Invest Like the Best@InvestLikeBest

Gavin Baker (@GavinSBaker) says the disaggregation of inference can extend GPU useful lives from 3-4 years to 10-15.

That may single-handedly save private credit and reduce the financing rates for GPUs, which will drive demand and help finance the build-out.

"The disaggregation of prefill and inference is going to be amazing for the useful lives of GPU and may single-handedly save private credit.

Private credit is in pain from these SaaS loans. But there's a lot of private credit in GPUs too.

They were underwriting that to 3-4. The disaggregation of inference means that these GPUs are going to have 10 or 15-year lives.

The AI skeptics are like, "Oh, these companies are all cooking their books. The useful life of a GPU is only a year or two. The useful life of a CPU is only four years because the rapid technological change."

No. What rapid technological change has done with the disaggregation of prefill and inference is you can put a Cerebras system or Groq LPUs effectively in front of a Hopper or even an Ampere, use that Hopper and Ampere for prefill, and extend the useful life of that GPU until it melts.

This is going to be really good for the whole private credit industry. It's gonna help finance the AI build-out.

Because if you can start to finance GPUs at 5% or 6% instead of – I think CoreWeave's lowest financing was low sevens – that actually mathematically changes the cost to finance this build-out."

Patrick OShaughnessy@patrick_oshag

This is my sixth conversation with @GavinSBaker.

As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers.

We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source

Enjoy!

Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

40d185.9K390260

Patrick OShaughnessy@patrick_oshag

Interesting that in three of my recent conversations with Krishna at Anthropic, @dylan522p, and @GavinSBaker, each said that frontier tokens are capturing the majority of the economic value.

Gavin: "An overwhelming amount of the economic returns to AI at the model layer have been at the frontier. That's surprising to me, and I think it's been surprising to a lot of people. This is one of the most important questions to be answered, and you need to have a hypothesis on it as an investor."

Krishna: "We think the returns to frontier intelligence are extremely high. Customers invest really heavily in more tokens with the newer models. The ones at the frontier clearly are capturing this economic value, driving meaningful ROI for customers. The returns to frontier intelligence are not slowing down."

Dylan: "No one gives a crap about GPT-4 class models. They want the frontier because the frontier lets them create the economically valuable things."

Patrick OShaughnessy@patrick_oshag

This is my sixth conversation with @GavinSBaker.

As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers.

We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source

Enjoy!

Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

39d112.8K357208

Brad Gerstner@altcap

Despite GB being inverse BG - we share alot of opinions including this one. Memory & power are also constraints. It doesn’t mean stocks can’t enter a bubble - but these constraints limit overbuild for next couple years. 🧐👊

Patrick OShaughnessy@patrick_oshag

Gavin Baker: "I've been optimistic that the fundamental shortage of wafers, which is really controlled by Taiwan Semi, will prevent a bubble."

"If Taiwan Semi did what Jensen wanted, Nvidia could sell $2 trillion of GPUs in 2026 or 2027.

But there is a limit where consumers would consume so much that you'd probably be in an overbuild.

And you are starting to see companies go to Intel and Samsung.

A lot of this may come down to the degree to which Taiwan Semi can maintain a lead over Intel and Samsung and the pace at which they expand capacity.

If I were to watch one thing to understand whether there's a bubble, it's Taiwan Semi's capacity decisions.

There's a Goldilocks zone where they expand enough to make it hard for Intel or Samsung to emerge as a second source, but they also keep the fundamental constraint on wafers that helps us avoid a bubble."

40d74.5K380102

Raging Capital Ventures@RagingVentures

Worth its weight in gold, it is amazing this interview is free

Patrick OShaughnessy@patrick_oshag

This is my sixth conversation with @GavinSBaker.

As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers.

We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source

Enjoy!

Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

39d43.9K145113

Keshav Lohia@Keshav_Lohiaaa

This is one of the best podcasts of the year

Every time Gavin Baker appears on Invest Like the Best, it’s like a primer on semiconductors, chips and macros.

His synthesis and knowledge is really world leading, highly recommend listening to this and everything Gavin had to say

Patrick OShaughnessy@patrick_oshag

This is my sixth conversation with @GavinSBaker.

As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers.

We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source

Enjoy!

Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

40d31.5K53106

Gavin Baker@GavinSBaker

YouTube link:

https://youtu.be/Mmj_G9RlW-I?si=g-q8TNsZE2aBOmFA

Gavin Baker@GavinSBaker

Always enjoy my conversations with @patrick_oshag

Points if you can guess whose office this was filmed in.

Also looks like I might need to up my dose of Tirzepatide. 😂

41d23.8K7760

Gavin Baker@GavinSBaker

@altcap Love it thanks my friend. Let’s do a BGGB episode sometime

Brad Gerstner@altcap

Despite GB being inverse BG - we share alot of opinions including this one. Memory & power are also constraints. It doesn’t mean stocks can’t enter a bubble - but these constraints limit overbuild for next couple years. 🧐👊

40d55.1K2188

Patrick OShaughnessy@patrick_oshag

Original clip:

Patrick OShaughnessy@patrick_oshag

"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, which results in six times more irradiance than on Earth. So you don't need a battery.

The cooling in these data centers is incredibly complicated. Space cooling is free. You just put a radiator on the dark side of the satellite.

The only thing faster than a laser going through a fiber optic cable is a laser going through absolute vacuum. Link satellites with lasers, and you have a faster and more coherent network than any data center on Earth."

40d18.4K2518

Gavin Baker@GavinSBaker

@patrick_oshag Thank you - love our conversations!

Patrick OShaughnessy@patrick_oshag

This is my sixth conversation with @GavinSBaker.

As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers.

We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source

Enjoy!

Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

41d12.6K1067

Gavin Baker@GavinSBaker

@patrick_oshag I could have saved myself so much brain damage by saying “racks in space” instead of “data centers in space.”

The “cooling in space is impossible” people are super vocal.

Patrick OShaughnessy@patrick_oshag

Original clip:

40d3.8K445

Brad Gerstner@altcap

@GavinSBaker Book it. 🚀💰🇺🇸

40d2.9K632

clem 🤗@ClementDelangue

the reason is marketing!

Patrick OShaughnessy@patrick_oshag

Interesting that in three of my recent conversations with Krishna at Anthropic, @dylan522p, and @GavinSBaker, each said that frontier tokens are capturing the majority of the economic value.

Gavin: "An overwhelming amount of the economic returns to AI at the model layer have been at the frontier. That's surprising to me, and I think it's been surprising to a lot of people. This is one of the most important questions to be answered, and you need to have a hypothesis on it as an investor."

Krishna: "We think the returns to frontier intelligence are extremely high. Customers invest really heavily in more tokens with the newer models. The ones at the frontier clearly are capturing this economic value, driving meaningful ROI for customers. The returns to frontier intelligence are not slowing down."

Dylan: "No one gives a crap about GPT-4 class models. They want the frontier because the frontier lets them create the economically valuable things."

39d6.5K255

Patrick OShaughnessy@patrick_oshag

@GavinSBaker Enjoy!

Patrick OShaughnessy@patrick_oshag

This is my sixth conversation with @GavinSBaker.

As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers.

We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source

Enjoy!

Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

41d9K147