Stream: interviews

Topic: 652: Solving the AI energy crisis

Logbot (Jul 31 2025 at 16:07):

Greg Osuri, Founder and CEO of Akash Network joins us to share the backstory in his testimony before congress on the energy crisis and what it's going to take to power the future of AI. From powering datacenters, to solar, decentralized AI compute, to zombies in SF. :link: https://changelog.fm/652

valon-loshaj (Jul 31 2025 at 21:02):

30 minutes into this episode and all I have to say is 2 words…”pied pipper”

Nathaniel Schweinberg (Aug 01 2025 at 12:25):

20 minutes in and I’m already exhausted. AI and the energy crisis it’s creating isn’t something humanity needs to unite around when there are people starving, without medical care, or without homes. AI is so far down the priority list. Tack on the guests clear distaste for climate conservation and I have a hard time taking this person seriously. Listening to be aware of the conversation, but good lord is it painful to listen to.

Tim Uckun (Aug 01 2025 at 21:49):

Unfortunately climate change is one of those things that is not immediate but an existential threat. There will never be a day where it's the most important thing globally but it is the most important thing when people are dying from forrest fires, heat stroke, dehydration etc. It's just that those things happen to small pockets of people far away usually.

Having said all that according to most scientists I have spoken to it's probably already too late to do anything about it. I am likely too old to see the worst effects of it which is a blessing I guess.

Ron Waldon-Howe (Aug 01 2025 at 23:48):

And we all participate within and reinforce a system where a handful of people get to decide that lighting $500B on fire is the best thing for humanity to be doing right now
Generative AI hasn't created 0 value (this isn't cryptocurrency all over again), but I've not yet seen anything that justifies the cost in dollars or environmental impact

Don MacKinnon (Aug 02 2025 at 03:43):

Thanks for this episode, I think everyone in the community should listen to this one because climate change isn't something that is going away and neither is the energy crisis that is going to make things worse. Greg had some great points about how bureaucracy has stagnated rebuilding the transmission grid and production...meanwhile China is moving forward and progressing. There needs to be a balance between responsible energy production and going too far on the other end and never building. The genie in the AI bottle is out but it's certainly not worth destroying the planet for. These large companies that are centering their businesses around AI should still be held to account for their 2030 pledges...those conveniently went out the window when the gold rush started. Folks are worried about SkyNet but it's more realistic that we'll just make the planet a really miserable place to live for the next 200 years via climate change and large swath of humanity is going to suffer because of it.

Warren Young (Aug 02 2025 at 05:21):

There's an easy — and happily, correct — answer to the "monkey-brained" idea of piping all the excess heat into space. Go to your cupboard and pull down your favorite insulated mug. If it's any good, the proper technical term for it is a "vacuum flask," being a reservoir for holding heat surrounded by insulating vacuum, with as little of a path as possible from the inside to the outside, allowing it to keep the heat inside for hours.

Sound familiar?

People have this conception of space being cold, and in absolute terms, it is, but that's because the heat from the stars is highly diffuse, with vast voids between. If empty space was good at absorbing heat, space would be hot with all those stars burning for billions of years.

When the ISS is in the Earth's shadow, they have to run heaters, but when it is in direct sunlight, they have to run energy-intensive chillers to pump the resulting heat out.

Warren Young (Aug 02 2025 at 19:08):

Something else which won’t work.

Warren Young (Aug 02 2025 at 19:22):

Oh, and those "heaters" I spoke of? We normally call them "astronauts" and "experiments" and "equipment". The ISS is being continuously cooled by turning sunlight into energy to run the coolers.

If that doesn't look like a data center cold-aisle chiller to you, it should.

This leads me to my new favorite computer term: CRAH unit, pronounced "Cray", an excellent coincidence since they helped pioneer liquid cooling.

Tim Uckun (Aug 02 2025 at 22:13):

I saw this jaw dropping story a while back https://sustainabilitymag.com/articles/chinas-1km-solar-array-the-manhattan-project-of-energy

China is going full blast on renewables and space technology. By 2030 they will be the only country with a space station, they are constantly going back and forth to the moon while other nations struggle to land there, they will most likely have a mars return mission before the USA does, they have a goal of 200 GW of nuclear power by 2035, the country aims to have 80% of its total energy mix come from non-fossil fuel sources by 2060, and achieve a combined 1,200 GW of solar and wind capacity by 2030.

They have a goal of carbon neutrality by 2060.

Maybe they will hit their goals, maybe they won't. So far they have hit every milestone they published in their space program so it seems likely that they will.

The motivation behind all this is energy independence, they don't want to be reliant on the middle east or the USA or Europe for their energy. With that motivation in mind I think they have strong incentive to achieve these goals.

Warren Young (Aug 02 2025 at 22:17):

I found myself curious about applying the ISS solution to the Earth as a whole, in the style of Randall Munroe's "What If?"

The ISS radiators can remove a continuous 70 kW of heat energy.

It is not straightforward to calculate the effects of global warming in terms of kW, but one friendly AI here estimated it at 10¹² kW across the Earth's surface. Assuming this gets us into the ballpark, we'll need about ten billion ISS radiators to zero out global warming.

And never mind how we're going to manufacture all that, lift it into space, power it all, and get the heat energy up there to be radiated away, because now we have a new problem: the total area of the panels, support structures, cabling, etc. will cover about 1% of the sky if evenly distributed. For the same reason Dyson spheres are unstable, it will likely have to be concentrated into a band oriented along the ecliptic, which is liable to increase the effective coverage enough to throw us into global cooling instead.

Good job, men, mission accomplished! Hope ya packed a set of thermal undies.

Don MacKinnon (Aug 02 2025 at 22:33):

That's what happens when a countries and companies set long term goals instead of being focused on the next 4 years or the next quarter. The US used to be motivated to do those things but haven't in a long while.

Warren Young (Aug 02 2025 at 22:36):

The long-term goals you speak of, @Don MacKinnon fed into all this continuous consumption. @Nathaniel Schweinberg touched on this up-thread; the guest on this episode bragged of building a house that shocked the town council with its extravagance, and here we're wondering why we're having an energy crisis.

Um, duh?

Daniel Buckmaster (Aug 02 2025 at 23:59):

Oh boy, I'm feeling very trepitatious about beginning this episode based on the discussion. I will get to it, but will need to book out some time with a stuff drink nearby it sounds like! I work in solar, and while I'm trying to "do my bit" for the climate, discussions about the wider energy sector feel very fraught.

Daniel Buckmaster (Aug 03 2025 at 00:00):

Unrelatedly, we just went through an election here in Australia where the opposition (conservative) party brought a nonsense nuclear plan basically designed to stymie renewables, and were resoundingly rejected. So that was nice.

Daniel Buckmaster (Aug 03 2025 at 00:01):

And on the subject of datacenter (and trading floor) cooling, this episode of Signals and Threads was really interesting: https://signalsandthreads.com/the-thermodynamics-of-trading/ (sorry to bring up another podcast)

Tim Uckun (Aug 03 2025 at 00:13):

I think we can take more practical means to try and cool the earth. One example is simply painting the roofs of building and parking lots and such white. This would increase the albedo of the planet slightly and reflect more radiation to space. Due to melting ice albedo of the planet is reducing which is going to lead to a runaway effect if nothing is done.

One thing I noticed while flying in NZ is that more and more some crops are being covered by a white mesh fabric. I presume this is to protect them from birds or insects but again they would increase reflectivity of the planet if this was more widely practiced.

Of course there are the elephants in the room, eat less meat, drive less, have less children, learn to be comfortable being a little more warm or cold.

Ron Waldon-Howe (Aug 03 2025 at 03:25):

Tim Uckun said:

Of course there are the elephants in the room, eat less meat, drive less, have less children, learn to be comfortable being a little more warm or cold.

I doubt we'll ever see he necessary levels of voluntary moderation amongst regular folks until celebrities and billionaires are universally onboard

Warren Young (Aug 03 2025 at 04:00):

painting the roofs of building and parking lots and such white

White solar panels are ineffective. You have to pick one, not both.

A small compromise is a white mounting surface and bifacial panels — a.k.a. backless — but that doesn’t buy you a lot.

Warren Young (Aug 03 2025 at 04:04):

Daniel Buckmaster said:

the-thermodynamics-of-trading/ (sorry to bring up another podcast)

That was where I learned the surprising pronunciation of “CRAH unit”. Had to look it up!

Warren Young (Aug 03 2025 at 04:06):

Daniel Buckmaster said:

Oh boy, I'm feeling very trepitatious about beginning this episode

I wouldn’t say it was “bad,” just that it’s filled with facile “can’t we just…” solutions. Turns out, hard things are hard.

Tim Uckun (Aug 03 2025 at 05:34):

@Warren Young I wasn't thinking of solar panels, just ordinary roof paint and using light material for parking lots and roads.

Warren Young (Aug 03 2025 at 06:01):

Tim Uckun said:

Warren Young I wasn't thinking of solar panels

This episode's guest put domestic solar forth as his solution to the coming AI energy crisis. It's another facile idea: they can't afford to run data centers, so they'll bribe us all into giving up a portion of our homes for their benefit. Easy!

Here's a question for the guest: when the fans on the GPU box start making more than the 50 dB you claim in the episode, and your repair tech puts me off for the third time, is it a violation of my contract with you if I jam a pencil into the blades and thereby force the GPUs to clock down, lest they cook themselves?

Yeah, thought so.

using light material for parking lots and roads.

Parking lots are a non-starter. There's a big problem with that: people have this annoying habit of blocking the albedo-increasing material from the sun with cars, left in place for hours and hours during the sunny hours.

I suppose we could try legislating white cars for everyone… :stuck_out_tongue_wink:

Roads have a portion of that problem, but there's another more significant one: they aren't black solely because of the tar in the asphalt. Freshly laid asphalt soon becomes a dark gray from all that shed tire material, blown dirt, etc. White roads won't stay white.

Tim Uckun (Aug 03 2025 at 06:16):

This is one of those perfection is the enemy of good solutions. Yes parking lots have cars in them but not always full. yes roads will get darker but not be black. I have traveled in the USA and Turkey and most highways are light colored despite being heavily travelled.

As for power generation yea I think we do need to push all the buttons, nuclear, geothermal, wave, solar etc and also do it distributed as possible.

Having said all that I acknowledge that it's probably too late to stave off climate induced catastrophes for the foreseeable future..

Tim Uckun (Aug 08 2025 at 04:20):

Ok I finally listened to this and man I had so many questions and got so infuriated it's not even funny. I wish I was in the room where I could follow up some questions or challenge his assertions.

the overall impression I got was that all this is such a colossal waste of money and human resources. Imagine spending this much money to end hunger, to educate every child, to end wars, to advance science, to tackle existential threats to humanity such as climate change. Instead we are training next word predictions and shuttling money between the richest and (IMHO) the worst people on the planet.

Also it's clear to me that China is to going to win this race no matter what route you take to AI. They have the energy, they have the grid, they are building renewables at a pace nobody even comes close to and their plans are ambitious. The US is suffering from a serious brain drain problem in graduate schools because science funding has been gutted so the best of the best is fleeing overseas to do their research and to teach. Rise of theocratic rule isn't going to help science much either.

Ron Waldon-Howe (Aug 08 2025 at 04:23):

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Tim Uckun (Aug 08 2025 at 04:24):

BTW just for giggles I asked chatgpt the question:

how much solar panels do I need to generate 800 kw for 12 hours?

The answer was

So you'd need about 3840 panels rated at 500W each.

Then I asked how big of a battery I would need to store that and it said

3 Tesla Megapack 2 units

Apparently a tesla megapack 2 unit costs about 1.5 millon dollars and anywhere between 100,000 to 200,000 install.

So I don't see how powering 2 GPUS 24 hours a day is going to be profitable especially if installed in 20 million homes.

Tim Uckun (Aug 08 2025 at 04:31):

One more thing.

Greg said "we have always valued intelligence" and I could not disagree more. The most valued people in the world are

• Elon Musk: $394 billion.
• Mark Zuckerberg: $241 billion.
• Jeff Bezos: $228 billion.
• Larry Ellison: $213 billion.
• Warren Buffett: $154 billion.
• Larry Page: $146 billion.
• Bernard Arnault and family: $142 billion.
• Sergey Brin: $138 billion.

These are certainly not the most intelligent people in the world.

The most powerful people in the world are Xi Jingpin, Donald Trump, Vladimir Putin, Bibi Netinyahu, Narendra Modi, Kim Jong-un, Sinzo Abe, Mohammad Bin Salman etc.

Not only are these people NOT the most intelligent people but arguably they are the worst people in the world.

We don't value intelligence, we value people who most strongly embrace the 7 deadly sins.

Tim Uckun (Aug 08 2025 at 05:59):

Looks like I misheard him. It's not 800 kw, it's 1,800 watts. Let's redo...

I asked chatgpt to calculate battery and panels needed to provide 1,800 watts for 24 hours and to estimate costs.

It said I needed 26 panels and 54kw battery. It estimated the costs to be $33,000 including installation, inverter etc.

That's roughly 600 billion dollars to outfit 20 million homes. Even if you halved that it's still a mountain of money.

Andrew O'Brien (Aug 08 2025 at 14:17):

I still have 40 minutes left and I've been trying to refrain from commenting until I'm done. I think I'm most frustrated by this sense that "we must AI because it is inevitable". But what if... it wasn't? What are we not doing because all the money is going toward trying to replace as many humans as possible?

Andrew O'Brien (Aug 08 2025 at 14:31):

Also, I just passed the point where the guest said that SoftBank has invested in the Abilene data center that everyone is calling "Stargate", but according to a Crusoe rep in this reporting:

Funding for construction of [the] Abilene data center is a JV between Crusoe, Blue Owl and Primary Digital Infrastructure. Confirming that Softbank is not and has not been involved in the funding for its construction.

That article goes on to detail the lack of involvement from SoftBank or further commitments to other datacenters under the "Stargate" name. But all of it adds up to the fact that 7 months after it was announced, nothing even close to the $500B effort that was announced has even started to take shape.

Andrew O'Brien (Aug 08 2025 at 14:38):

Combine that with the news that ASML "cannot confirm growth in 2026" and I'm doubting any of this data center build out will come together.

For anyone who hasn't listened to Acquired's 2021 coverage of TSMC, ASML is the primary manufacturer of the ~$300M EUV lithography machines necessary to make 5nm chips. TSMC had those on back order up for years, locking out most other fabs. Nvidia in turn had TSMC's capacity locked up, which was part of their moat in the GPU market. But if we're supposed to be building out $500B of datacenters for AI, shouldn't Nvidia be trying to expand production, meaning TSMC should be clamoring for more of those EUV machines, meaning ASML should be shouting about how much money they're going to make in 2026?

Guys, I'm starting to think we're not getting AGI in 2027.

valon-loshaj (Aug 08 2025 at 19:39):

The best analysis I’ve heard of the AI boom is from an economist named Aswath Demodaran. His take is sober.

He explains it way better but my take is that all these investors and founders are over extending on AI. All of them have no idea if it will all work out but they proceed nevertheless.

Based on historical patterns, the outcome for humanity will be positive even if majority of these companies go to zero. The advancements we will see on the energy and technology fronts will be tremendous and society will generally improve.

However the battlefield will be littered with the bodies of startup founders in these spaces.

valon-loshaj (Aug 08 2025 at 22:22):

I have another somewhat spicy take…

Tell me who you think the single person who will have the biggest impact on the Medical industry in the next 5 years…and I’ll tell you why that person is Sam Altman :hot_pepper:

Tim Uckun (Aug 08 2025 at 22:30):

I don't think advances in medicine will come from an LLM. I do think that in the next five years there will be tremendous advances in medicine but they won't even come from the USA it will take at least a decade to unravel the anti science attitudes of the US population and this administration.

Having said that I do hope that Apple or Google will spend money to advance their health efforts to integrate with medical systems worldwide so we could have personalized healthcare that is based on collected data.

Oh and whatever happened to watson? Where is IBM in all this?

valon-loshaj (Aug 09 2025 at 01:53):

Even if an LLM doesnt make a major medical breakthrough, it can still have a tremendous impact. One of the biggest problems in the USA is people don’t have an easy and affordable way of getting preventative care. Unfortunately people wait until they are too sick to seek help.

Solving that problem will have tremendous impacts on public health.

Regarding an LLM not making medical breakthroughs, there have been recent studies that have found Alphafold2 was able to identify protein structures that can result in patients being at high risk of breast cancer. Breakthroughs like this are amazing, and only the tip of the ice berg. And it’s all happening right here in the good old USA :flag_united_states:

I acknowledge there are some pockets of the country that appear to have “declared war” on science, but this is a very fringe group. The majority of the population is very pro science and generally in favor or making the necessary investments to advance science.

Ron Waldon-Howe (Aug 09 2025 at 09:07):

I worry about medical advice from an LLM, which technologically cannot possess knowledge and is only accidentally correct
They are interesting for low-stakes content creation, and any use case where a subject matter expert will double-check the output
But we're already seeing lawyers and doctors and police and other folks rely on LLM output with life and death stakes, so I guess that ship has sailed

Ron Waldon-Howe (Aug 09 2025 at 09:09):

Also, the decay of the USA health care system has nothing to do with technology, and everything to do with greed and cruelty
We can't fix inherently human/political problems with technology

Tim Uckun (Aug 09 2025 at 21:59):

Alphafold is not an LLM though. Neither was Watson. I have no doubt computing will play a major role in medicine including personalized medicine and preventive medicine. About ten years ago I worked for a major health organization in NZ and I predicted that in ten years a computer would be the personal doctor for millions of people and would do a better job than most doctors. Of course I also predicted self driving cars would take over in five so I was off on both predictions. I still believe those things though. Apple (or google) have more information about your health than your doctor does and is more up to date on the latest research. Your doctor sets a fifteen minute appointment with you and spends ten minutes of that trying to remember who you are. Your watch knows whether or not you have been limping and walking more slowly in the last week.

Anyway these systems are not LLMs though and I should say it's not as if Sam Altman is personally responsible for chatgpt.

Tim Uckun (Aug 09 2025 at 22:06):

For giggles I prepared a prompt dealing with a chronic issue I have. I told the LLM my age, sex, height, weight, etc. I detailed all the blood test results, all the medications I take, all the procedures I went through etc. I then asked Gemini, Claude, Deepseek, qwen, Chatgpt, Gemini Deepresearch and chatgpt deepresearch to diagnose the problem and to provide treatment options.

They all basically came to the same conclusions which is to be expected given they were all trained on basically the same data. Google Gemini Deepresearch was the best one INMHO and it kindly offered to save the result as a google doc.

The point is that none of them somehow found some innovative cause or treatment. Maybe a human medical researcher can read their results and maybe that will spark some idea and maybe they will submit a proposal for a research and maybe it will get accepted and maybe they will do the research and maybe they will conduct trials and maybe after a decade or more there will be some treatment but I wouldn't credit the LLM or Sam Altman with that.

Tim Uckun (Aug 10 2025 at 00:49):

@valon-loshaj I listen to several science based podcasts including those run by active scientists. They are all pulling their hair out because funding for research has been gutted by the Trump administration. They no longer have the funds to support their grad students, care for the animals, pay for equipment etc. On top of that Trump has put severe restrictions on non white students coming from overseas. The majority of master and PHD level students as well as postdocs in the US are not white europeans.

All the advances in LLMs, machine learning, etc came from grad students and they are still driven largely by grad students who are leaving academia to cash in. Grad students are looking to Europe and China and elsewhere to see if they can continue to do their research while being able to eat and pay for rent and school. Students from other countries are not applying to Harvard and UCLA and Stanford and Cornell and Columbia etc because American universities either can not or don't want to accept them and the climate even if they were accepted is hostile to them.

This is going to take a long to undo and is going to have profound effects. If you don't believe me go listen to the scientists themselves.

Nathaniel Schweinberg (Aug 10 2025 at 13:48):

@Tim Uckun you nailed it with your story about medical treatment. LLM’s are regurgitators. Really really good ones, but regurgitators nonetheless

Warren Young (Aug 10 2025 at 13:59):

Nathaniel Schweinberg said:

LM’s are regurgitators.

Isn't the purpose of medical school to make doctors into really really good regurgitators?

Nathaniel Schweinberg (Aug 10 2025 at 15:05):

Warren Young said:

Isn't the purpose of medical school to make doctors into really really good regurgitators?

Med school maybe, but it sounds like you're not accounting for research scientists who develop the treatments the doctors at the hospital use to make us healthy.

Nathaniel Schweinberg (Aug 10 2025 at 15:06):

Research scientists develop new and novel techniques that AI in its current form can't create on their own. AI can be leveraged for some heavy lifting or data processing, but the thinking and reasoning are still performed by humans.

valon-loshaj (Aug 10 2025 at 16:55):

I think the argument that AI is not capable of coming up with novel ideas was made questionable based on what was achieved by AlphaGo.

Moves 37 in game 2, 78 in game 4 and 36 in game 5 prompted discussions from the best go players regarding how the game has actually been played for centuries.

Novel “ideas” generated by AI such as what was experienced with AlphaGo can lead to massive breakthroughs in science and technology.

Nathaniel Schweinberg (Aug 10 2025 at 17:25):

Just don’t forget AI currently gets where it’s going via brute force. That can certainly change in the future, but right now it’s a bit of random chance given it’s not deterministic. It’s not actually reasoning.

valon-loshaj (Aug 10 2025 at 20:24):

But the non-deterministic aspect of AI is a feature, not a bug. I don’t think anyone is trying to make AI deterministic. The goal is to bring incorrect hallucinations down to a really small percetage.

Similar to the way humans think and reason, it’s all hallucinations.

Tim Uckun (Aug 10 2025 at 21:45):

So far everybody is using the terms AI and LLMs interchangeably. They are not the same. Alphago is not an LLM and neither is Alphafold or watson etc. I think we need to be careful about the technologies we are talking about before we make proclamations on what is going to happen or not.

I don't think LLMs will make medical or scientific breakthroughs because they are not programmed to synthesise information and come up with novel predictions or theories. They can however read the papers and summarize results fairly well. They can even write papers which seem to pass the smell test even though the results are fake. I predict that instead of advancing they will actually hold back science because they will flood the preprints with garbage papers which will poison the well both for humans and llms. Literally enshittification of the scientific publishing world (which to be frank has already started).

Nathaniel Schweinberg (Aug 11 2025 at 01:27):

Tim Uckun said:

I don't think LLMs will make medical or scientific breakthroughs because they are not programmed to synthesise information and come up with novel predictions or theories. They can however read the papers and summarize results fairly well.

:direct_hit::direct_hit::direct_hit::direct_hit::direct_hit:

Matthew Sanabria (Aug 12 2025 at 21:04):

Glad to see I'm not the only one who was a bit angry listening to this. Not necessarily because of the stance on AI but just the pompous attitude of the guest overall. Very "if you aren't doing X you're not gonna make it" attitude with minimal basis to back up when pressed with questions.

Matthew Sanabria (Aug 12 2025 at 21:06):

And don't get me wrong. I like the think big and dream aspect and there's room for a pompous attitude every now and again. Heck. I'm pompous sometimes too. It was just all over the place in this episode to the point where it was just the guest speaking in absolutes without details.

Ron Waldon-Howe (Aug 12 2025 at 22:35):

Yes, absolutes that's it!
I'm highly suspicious of anyone who claims 100% perfect knowledge without any admission that they're possibly incorrect

Andrew O'Brien (Aug 12 2025 at 23:14):

There was a swipe at sociology as a useless degree in there too, which made me eyeroll as a govt major with 20+ YoE in software engineering.

I’ve worked with plenty of arts and social science people and a few with no degrees at all. I can tell you that if you only select one kind of person, you’re probably going to end up with a worse product (unless you’re truly in a field that requires the kind of technical proficiency you can only get from years of rigorous academic study—which, let’s face it, most product development is not).

Andrew O'Brien (Aug 13 2025 at 16:28):

I promised myself I was done with this, but given this news, I had to come back to say this: CoreWeave is the sub-prime time bomb at the heart of the Gen AI industry.

Analysts have turned skeptical of CoreWeave's excessive dependence on certain customers and its ability to grow profitably due to widening losses, heavy capital needs and deteriorating debt coverage... "CoreWeave does not currently generate enough profit to pay all its debt holders, certainly not equity holders,"

Nvidia paid them to create a market for themselves (to the tune of ~10% of sales at one point). CoreWeave turned around and used those heavily subsidized GPUs as collateral on >$10B of loans at 10-15%. It has to service those debt payments and cover cost of operations for something that is losing its own customers money on every query. To keep costs under control, it's trying to buy out its datacenter landlord (once bankrupt former crypto-miner Core Scientific) over the objections of Core Scientific's largest shareholders.

The lock-up on pre-IPO shareholders offloading shares expires tomorrow and I don't think it's going to be pretty. And I think in the longer term this is going to age like milk.

valon-loshaj (Aug 13 2025 at 19:53):

The success of coreweave could be reduced down to one thing, can they outlast the transition period we are currently in.

If the answer is yes, they will emerge in the AI-first world as a clear leader and visionary.

But if they go broke people will say they were too early.

Last updated: Aug 18 2025 at 01:38 UTC