"Post-money valuation is a way of expressing the value of a company after an investment has been made" [1]

[1] https://en.wikipedia.org/wiki/Post-money_valuation

Google also has the most to lose.

What are the benefits ?

If you give me $1T to spend, I, too, can probably make $14B (this is a metaphor)

They could stop at F and treat it as hexadecimal by adding digits: Series 4F, etc

considering their series F was only ~5 months ago this doesn't seem too far-fetched!

Emojis would be far more appropriate for AI startups

We already have: https://www.theguardian.com/science/2026/feb/02/elon-musk-sp...

>OSS will be sufficient for most businesses

Only for well defined tasks. There's not really a practical upper bound. We will keep throwing more complex tasks at it to the extent that it can handle them. Like if you just need fancy OCR, then a specific model will probably suffice, but there will be an appetite for human- or superhuman-level intelligence that never gets tired and has no rights.

They’ll become commodity AI compute providers while training and selling premium foundation models.

Then they will fall back on the selling their other real competitive products - hardware accelerators, phones and PCs, cloud storage and cloud compute, enterprise software, databases, operating systems, office and media suits... Oh wait...

Theoretically Apple can spend just as much. What are the outcomes though? All those giants have their own business that are established and profitable.

It’s the new kids in the block that will make the difference.

You know those lists on twitter about how many companies US has in top 10 and are presented as a win? Those are actually lists of capital concentrations blocking innovation. It looks like US is winning but for some reason life is better in EU and innovation is faster in China.

It’s companies like OpenAI Anthropic that will move US ahead. Even if some core innovation or and capital comes from the establishment.

Yeah, up from $1B a year ago.

Two years ago, I considered investing in Anthropic when they had a valuation of around $18B and messed up by chickening out (it was available on some of the private investor platforms). Up 20x since then ...

It was always obvious that Anthropic's focus on business/API usage had potential to scale faster than OpenAI's focus on ChatGPT, but the real kicker has been Claude Code (released a year ago).

It'd be interesting to know how Anthropic's revenue splits between Claude Code, or coding in general, other API usage, and chat (which I assume is small).

As someone who thought Google+ doomed facebook, because of Gmail accounts and everyone with Google as their homepage already, I learned not to overestimate Google’s abilities.

I'm trying paid tier Gemini and it doesn't allow to keep have personal chat history when you disable training on your data, on reload of the page your chat is gone. Even free tier of ChatGPT allows disabling training on your data while allowing to keep such basic functionality.

Some technical advancements are not worth it if you do not respect your users.

Because it's Google they can't build products and they only care about benchmarking.

The product they released so far are all half assed experiments.

Gemini 3 Pro is now being beaten by open source models because they can't fix or don't want to fix the problems with the Gemini models being completely useless.

The same for Microsoft.

Microsoft had GitHub Copilot, and Microsoft Copilot and both of them are useless to Claude Code and Claude Cowork.

You can have all the money in the world, but nothing is stopping you from building useless garbage.

Well there's a good reason that OpenAI partnered up with Microsoft. The calculation is that the established big techs - Amazon, Apple, Microsoft, Google, Meta are all going to be significantly impacted by AI so it's not unreasonable to look at Anthropic at 10% of their market cap as a reasonable value. Would it be worth Apple to bring Anthropic in house? They failed to deliver AI themselves, they know the risks of being dependent on Google. If AI goes far enough it may totally remove Apple's differentiation.

Some of the Big Techs are building their own in house stuff (Meta, Google), but it wouldn't be crazy to see acquisitions by the others, especially if the market cools slightly. And then there's the possibility that these companies mature their revenue streams enough to start actually really throwing off money and paying off the investment.

Google fucks up 90% of their products, why do you think Gemini is in the 10%?

> It’s an impossible war and all these investors are throwing their money into a bottomless insatiable pit of money.

Anthropic went from zero to $14 billion in revenue in less than 3 years, growing at 10x per year.

That's what they're investing in.

Also Anthropic seems laser-focused, unlike some of their competitors who are throwing stuff against the wall to see what sticks.

Slight counter point - claude code is basically the only developer tool that ever been happy to pay money for. Getting the entire software industry to give you $200/mo/person is quite the market.

Next year 140 billion the following year 1.4 trillion, 14 trillion the year after that?

Have you ever used anything that is on google cloud console? Or tried not to get randomly ratelimited with a single request to a vertex llm model? They are shooting themselves in the foot for solid 20 years, any of these players can compete with google in this frontier

G is tame. Wait until you hear of Databricks’ Series K…

https://www.thesaasnews.com/news/databricks-raises-1b-series...

I would hold off congratulating them until they’re actually in the black. They are still burning billions a year lol the revenue is impressive but their expenses are still solidly north of it.

The timing of the Claude Code guerilla marketing campaign that seems to have started around new years is now making much more sense.

What was their original mission?

My sense is that startup mission statements are ~meaningless. Builders try to build great things that lots of other people will find valuable.

Anthropic has one of the best moats of any business that's been created in the last 50 years.

Numerous companies have tried and failed competing with SoTA foundational models. If Anthropic had no moat, Apple and Meta wouldn't be paying them billions for coding asistance.

Meta, Amazon, Apple, and Nvidia would all have SoTA competitors to Claude. They all tried and have not produced a competitor.

Instead you have three companies that stand alone making billions from foundational models.

> What do you call a herd of 1000 unicorns together?

As millipede, clearly therefore millicorn.

Funny I consider this valuation modest considering what the max extent of the investment thesis is here.

SaaS and legal market caps have already contracted a multiple of the combined OpenAI + Anthropic valuations just based on the _threat_ of what they may be able to accomplish.

They'll have the data + knowledge edge over open alternatives and be able to implement + deploy (see the story about Anthropic employees being at GS for 6 months already[0])

[0] https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-m...

What do you value a company at that has gotten to $14b in revenue in 3 years and has 60%+ margin on inference? Just out of curiosity.

These companies are spending billions on custom datasets for a gazillion of valuable tasks and are clamping down on exfil for distillation. It's not guaranteed open source models will continue to keep pace.

It is quite obviously Microsoft. They use the same (in my dictionary illegal) tactic they did with Teams.

It's marketing copy--I wouldn't expect them to say otherwise.

I mean, I do think it is true, I’m not sure if this is like fastest toddler in the preschool or whatever.

It's Web 2.0 all over again. No moat, winner-take-all (economies-of-scale/network-effect). Just have to out-spend everyone else, and then figure out whether it was worth it all after you win.

FOMO, pretty much

Ain't that for the entire ai field.

At least from the software engineer pleb perspective, their moat is that their tools seem to work well more often than not. I wasn't comfortable with the idea of using GitHub CoPilot as our GenAI solution at work, and apparently that was a widespread feeling, because we switched to Claude Code, and it's been a relatively smooth transition from manual coding to GenAI agentic loops.

They have a moat on hype.

> Theoretically Apple can spend just as much. What are the outcomes though?

The GP was talking about Google specifically, and their outcomes on AI are nothing to scoff at. They had a rocky late start, but they seem to have gotten over that. Their models are now very much competitive with the startups. And it's not just that have more money to spend. They probably have more training data than anyone in the world, and they also have more infrastructure, more manpower, more of a global footprint than the startups.

The Innovator's Dilemma is an anecdotal, maybe a statistical relationship at best, but not a fundamental law of nature. When an established company has everything it should take to become a leader in a new industry in theory, and in practice their products are already on par with the industry leaders, you know at some point it becomes rational to think that maybe they might become a leader.

The new kids have an easier time focusing. the big kids can integrate AI with their existing products and user data

In the long term, big kids win no? The big kids are also going to have an easier time with hardware at scale too

"but for some reason life is better in EU" citation needed

> What are the outcomes though?

NVIDIA, and contractors who build data centers, and manufacturers who supply them, will all get rich.

Eh, I think you made the best decision you could given the info you had.

I’ve poked around on EquityZen and was shocked at how little information is available to investors. In some cases I did not even see pitch decks, let alone one of the first companies I looked at had its top Google result: CEO recently arrested for fraud and business is almost worthless now.

Unless you are willing to take a blind punt or have insider information, those platforms are opaque minefields and I don’t fault you for not investing.

Matt Levine has a fun investment test: when presented with an opportunity, you should always ask, “and why are you offering it to me?”

Meaning, by the time it gets offered to retail investors (even accredited ones are retail) we’re getting the scraps that no one else wants.

How does their top tier subscription compare in usage limits to the $200/mo Claude usage limits?

I really like github copilot.

I also tried open code cli and desktop, but how well copilot is integrated into the ide is a plus for me.

What makes them "useless garbage"?

As the clear category leader in HN posting, I agree

has me wondering if Anthropic is one of those confidential TPU buyers

Microsoft engineers use their offerings over OpenAI - their partner.

That isn’t nothing.

Microsoft is deeply entwined in OpenAI and has obvious reasons to dogfood, yet their people are using Anthropic solutions.

Valuation behemoth OpenAI has been forced by the market to use Anthropic standards a couple times, having no comparable solutions of their own.

… I can see it.

I think the idea is to reduce labor costs by replacing the human workers.

Having a cutting edge model that requires tens of billions of dollars to train + a massive concentration of talent and experience + brand + one of, if not the best, coding experiences in Claude Code

These are all moats.

Sometimes I worry about the incentives for innovation in the US.

Step 1, find something to innovate on, sell the promise of it to investors. Step 2, build a prototype or worst case, build it for real and start generating income from your truly innovate and unique product. Step 3, get acquired by a large company and then shut down because your product competed with theirs.

End result, general public possibly benefited from your innovation, but in the long run, it was temporary.

Maybe the incentives would be better if it were harder for large companies to acquire small ones? If the path to riches where driven primarily by delivering value to customers. Would love to hear other's opinions on this.

what are the private investor platform you mentioned ? and what are the requirements to join in?

Yeah I’m never using a Google product. The sole purpose of their company is to be evil. At least other companies are indifferent.

Another basic feature that’s missing is sharing a Gemini chat as a link anyone can view.

OpenAI figured this out: it’s awesome marketing when people send each other links to the app with a convenient text box to continue the conversation. It’s viral.

Google meanwhile set this up so that “anyone with the link can view” is actually “anyone with the link and a Google account”.

That’s grade A failure of marketing.

The PM in charge of that decision ought to be walked off a plank.

How in the world would you have thought that? Genuinely curious.

It was obviously DOA and waaaayyy outside G'scompetence.

Google has barely released a successful product in 20 years.

> they know the risks of being dependent on Google

I wouldn't argue it's that risky. Look at their past entanglements:

1. Google Default Search Bribe - brings in $20B a year for literally doing nothing

2. Google Maps: Google let them build their own custom app using Google's backend, and it worked fine all the way up until Apple chose to exit that arrangement

actually I can't think of any others, but is there an example of Apple getting burned by Google?

well, it's basically existential, so the incentive is there to not only get it very right but also to limit the delta with how right anyone else gets it. The same can't really be said of the long tail of products Google have done.

Look to GCP as an example. It had to be done, with similar competitive dynamics, it was done very well.

Look to Android as another.

Claude is clearly the most superior product right now.

Gemini is absurdly expensive for low quality (3000 USD of tokens are not even worth what you get @ Anthropic for 200 USD).

Because Google has the money to build 10 different versions/iterations of Gemini and can essentially force one to work. They have most people's data and most people use them for mail/search/browser/maps as well.

In my opinion though this is a race to the bottom rather than a winner takes all situation so I don't think anyone is coming out ahead once the dust settles.

race to the bottom. google in house cheaper inference hardware. anthropic buys it.

> Getting the entire software industry to give you $200/mo/person is quite the market.

Quite the fantasy, you mean.

google the only ai which invests mixing llm ai with real ai, and it seems work well.

Because the product quality doesn't matter if the competition isn't making any money.

Revenue, but what about profit? Google can be cash positive but I’m not sure Anthropic can be the same.

The conclusion Google is engaged in consumer capitalism is wild.

They're engaged in computing research and merely engage in consumer capitalism as a consequence of political and social constraints.

Products are a means to an end not the goal.

OpenAI and Anthropic are product companies and are more likely to fail like most product companies do as they will lack broad and wide depth.

Google has experience in design, implementation, and 24/7 ops with every type of SaaS there is. They can bin LLMs tomorrow and still make bank. Same cannot be said for OAI or Anthropic.

this matches my experience. i'm building a mobile game solo and the amount of leverage i get from claude is wild, probably saves me 15-20 hours a week on stuff that would've required either a second person or just grinding through slowly.

$200/mo is nothing compared to what that time is worth. and it keeps getting better with each model release, which is the opposite of what usually happens when you pay for developer tools (they get acquired, enshittified, or abandoned).

the meta point about this funding round imo: competition between anthropic, openai, and google is the best thing happening for small builders right now. it keeps the tools improving fast and pricing competitive. if any one of them had a monopoly we'd be paying 10x for worse output.

Google is playing the datacenter game differently because they have their own hardware.

Don't worry about it: they'll make it up in volume

https://www.youtube.com/watch?v=CXDxNCzUspM

A few years back, well ok maybe almost ten now, but regardless- a recruiter reached out to me about a role at a "series G" company like it was a selling point, and I was just kinda like ok maybe thats signaling its relatively stable and can raise money, but at the same time, that's a lot of rounds to have preferences ensure unprivileged shareholders get nothing, and also to have most of the hockey stick growth already tapped out.

This was in the middle of the boom when companies were fighting over talent, so I found it odd.

It's wild watching people fall for it

Do they though?

Google does things I hate with their products. But the money printing machine keeps going whrrr faster and faster.

>What was their original mission?

Beat OpenAI. The Founders came from OpenAI so there was obviously some disagreement about the direction there or they simply wanted more control.

They're the least incompetent in the space.

Big companies are handcuffed by Innovators Dilemna etc.

Friendly AI

The collective noun for a group of unicorns in AI is known as a hallucination, as in: a hallucination of unicorns.

likely because Google has stake in Anthropic

Google has an edge, always a "personal experience" comment about leaving OpenAI/Anthropic in the dust every time new model gets posted.

The moat seems rather small right now. There are 7 different companies represented in the top 10 models on openrouter.

Persistence. Google has a lot more endurance then OpenAI does in this game.

The current AI market is going to destroy anyone who's specialized into it compared to having alternative revenue streams to subsidize it.

Better be otherwise it’s a 27+ year wait for breakeven!

Agree. Look at how miserably MSFT has failed at integrating AI tastefully in their business.

Google makes money selling ads. Nothing else matters.

Pay attention to the outflow of tech investment in the stock market. That money is going to move into OpenAI and Anthropic IPOs. The valuations will be as big you are thinking because the market believes these companies will represent an entire basket of startups.

To maximise shareholder value.

Anthropic's marketing somehow punches hard. Not sure why, but the stuff they do sticks. Not because the products are great, but because the way they communicate about it gives people the right feeling. They do have legitimately the best coding model now for most tasks, and for narrative prose, but the marketing stuck and people stan'd them even when they were trailing.

It is approximately nothing, since lots of MS engineers use Apple products too.

> tens of billions of dollars to train

Source??

Couldn’t their excellent model and coding experience generate another excellent coding CLI tool?

> cutting edge model that requires tens of billions of dollars to train

seems like there are a lot of those out there these days, and the costs are falling

> a massive concentration of talent and experience

Apparently 3000 employees? There's plenty of talent to be found elsewhere. Plus employees can be hired away.

> brand

meh.

> one of, if not the best, coding experiences

Seems easy enough to replicate, given how quickly they built it.

EquityBee got me investors to exercise my Brex options, in exchange for giving up some small beta

So is Gemini tbh. It's the only agent I've used that gets itself stuck in ridiculous loops repeating "ok. I'm done. I'm ready to commit the changes. There are no bugs. I'm done."

Google somehow manages to fumble the easiest layups. I think Anthropic et al have a real chance here.

Google is evil in passive way, like sprawling bureaucracy making you life slowly worse and worse but also doing some stuff to at least some fraction of population. OpenAI and Sam are determined and energetic evil, laser focused on making whole human population jobless and homeless in shortest way possible and not producing anything else of value, no other products. I'd rather prefer the former evil out of the two.

I thought it was a far superior UI to facebook when it launched. I tried to use it but the gravity of the network effect was too strong on facebook's side.

In the end I'd rather if both had failed. Although one can argue that they actually did. But that's another story.

Everything was obviously DOA after it dies. I also thought it wouldn't last but it wouldn't be the first or last tech company initiative that lived on long after people thought it would die. Weird things happen. "Obviously" isn't a good filter.

Google is good at buying existing products and scaling them, which is exactly what they did with DeepMind.

Android.

Google Cloud is good and successful. Except they can't implement billing hard caps, or pretend they can't.

And yet open models have been tailing closer lately?

China might purchase the data and train their models just to make the AI bubble pop. A few billions to throw a wrench in your competing superpower economy might be totally worth it

60%+ margin on inference: source ?

+ r&d costs

Of course, if one does not "pay" for investment, benefits are easily made ..

What’s your max extent? I was just doing some napkin math to think about where they’ll cap out.

Does Alphabet/Google have any other significant alternative revenue streams though besides their ad revenue? And won't that decrease significantly the more people use AI tools for research than firing up a google web search? I find myself using Claude more and more doing web research and comparing products/reviews...without getting a single ad served up from Google.

They target those ads by ingesting as many signals as possible from as many input devices & sensors as they can possibly convince people to use. They make a lot of money from advertising b/c they have managed to convince the most number of people to give them as many behavioral signals as possible & they will continue to do so. They kill products only when the signal is not valuable enough to improve their advertising business but that's clearly not the case w/ AI.

27 year PE ratio is a value stock at this point

They've been very clear about their mission, they're doing more than anyone else when it comes to it, and if you've ever interviewed with them you'd know how critical it is to them.

But I guess it's easier to make a glib comment than look these things up.

It's a benefit corp

I haven't used it to replace workers though, only to replace Google search. My company is pushing copilot but it's only $16/user/mo. Hardly lucrative and no moat.

Well in China its

"Get bankrolled by the state at the state's discretion until they get what they want, even if they need to burn $1B to get $1M of value"

and in Europe it's

"Just buy it from the US or China".

Hiive and Forge Global are the ones I know of. You must be an "accredited investor" which means nothing at all except that you have a million dollars or make $200k/yr.

This doesn't sound right. I just opened a shared link in a fresh incognito window and it works fine.

Depend on the definition of the "product". For example some banal cloud storage in which everyone competes. And it's an "old" product, despite being invisibly improved behind the scenes, just like at any other provider. Google has pretty competitive storage AND they are fully abusing Android integration for AND they have pretty good bundling of that storage with other products, including, you've guessed it - LLM Gemini. So say a person is not a professional user of LLMs like a developer burning tokens in a dozen accounts simultaneously. A person has a phone and eventually memory runs out, so he buys a one click Google storage for 4 bucks. And suddenly he has Gemini Pro included too. So why pay 20 bucks to Anthropic, when Google costs 1/5 of that AND has other stuff bundled too?

So maybe Google is lagging on truly new products (btw, does Gemini itself with its TPUs count as a new product? I'd say yes), but "old" products are entrenched enough to carry them and compete.

I thought that the likes of Android, Google Docs, Google Translate, etc. were fairly successful. Chrome and ChromeOS also seem fairly popular too.

The same can be said about Claude (no or tiny Opus on Pro) vs GPT-5.2 high (5.3-codex if you like terminal bench hacking).

> well, it's basically existential, so the incentive is there to not only get it very right but also to limit the delta with how right anyone else gets it. The same can't really be said of the long tail of products Google have done.

I've yet to see anything that threatens Google's ad monopoly.

This was the same argument made for Google Wave and Google+ and both completely tanked

Google built ten different chat products, how did that go?

I am struggling with this because I have an Anthropic offer vs another equivalent offer that is all cash.

But project out forwards.

- What happens when Google builds a similar model? Or even Meta, as far behind as they are? They have more than Anthropic in cash flow to pour into these models.

- What happens when OSS is "enough" for most cases? Why would anyone pay 60% margins on inference?

What is Anthropic's moat? The UX is nice, but it can be copied. And other companies will have similarly intelligent models eventually. Margins will then be a race to the bottom, and the real winners will be GPU infra.

Is their overall margin also about 60% too? Or something saner like 30%?

If your thesis was correct, why wouldn't some of those "outflows" go to GOOG or NVDA?

It Is more likely that people are cashing out very liquid assets (tech stocks) to pay back their loans in Yen as interest rates are rising over there.

Tech stocks with all the hype are second only to crypto in terms of how easy and fast are to sell (hence BTC dropped and now tech stocks IMHO).

Btw, I was too young to fully remember, but wasn't the year before the dot com crash also full of IPOs?

Might as well long NVDA?

And why would anyone participate in their IPOs? They would be crazily overvalued, like Figma or worse.

Technically speaking, it's to maximize shareholder value while serving the public interest. They're a public benefit corporation.

Anthropic develops tools for developers and power users which are the actual people doing the evangelizing and marketing for them.

Apple does pretty well for themselves - are you sure that’s not a positive signal for Anthropic?

> Anthropic's marketing somehow punches hard. Not sure why

The fish rots from the head and marketing depends on being relatable.

https://www.youtube.com/watch?v=qMAg8_yf9zA

Take a scroll through the comments.

Google Drive is easily the worst of the desktop cloud storage options. It’s okay for Google Docs but not other files if that’s what you’re talking about..

A lot of those are getting pretty close to 20 years ago.

Social media has strong network effects that keeps competitors at bay. What network effects are OpenAI/Anthropic/etc accumulating?

OTOH my company spends well into the $hundreds/user/day on Claude.

> "Get bankrolled by the state at the state's discretion until they get what they want, even if they need to burn $1B to get $1M of value"

If that's how it worked, they wouldn't lead in anything, they'd be bankrupt already. They burn state money like VCs burn cash. DeepSeek, Alibaba, Tencent, Xiaomi, Huawei, etc., disprove your point.

I wonder what makes EU so wealthy to just buy stuff everywhere - maybe it's the export of high-end technologies inaccessible to US and China?

Try sharing from the Google AI Studio Playground.

E.g.: https://aistudio.google.com/app/prompts?state=%7B%22ids%22:%...

Like you can buy shares of Anthropic as long as you prove you make over 200K? That easy? Shouldn't they approve of the purchase? Sorry, noob in this space!

This year:

chromeos is 17

android is 18

chrome is 18

google docs is 20

google translate is 20

The tech behind wave eventually made its way into Google docs though and pioneered collaborative document editing, so wasn't a complete failure even though the product itself was killed.

No comment on Google+, Google has a storied history of failure on any kind of social media/chat type products.

Where Google wins is just simply having enough money to outlive anyone else. As the saying goes "the market can remain irrational longer than you can remain solvent" In this case, Google is the market and they can just keep throwing money at the wall until OpenAI, Anthropic, etc. go under.

You mean GPT-5.3-Codex is a much better value than Claude Opus for programming ? If yes then I'm very interested as I am using Claude there

I mean I guess this is classic disruption theory.

It's not that a dominant position goes away overnight. In fact that would be precisely the impetus to spur the incumbent to pivot immediately and have a much better chance of winning in the new paradigm.

It's that it, with some probability, gets eaten away slowly and the incumbent therefore cannot let go of the old paradigm, eventually losing their dominance over some period of years.

So nobody really knows how LLMs will change the search paradigm and the ads business models downstream of that, we're seeing that worked out in real time right now, but it's definitely high enough probability that Google see it and (crucially) have the shareholder mandate to act on it.

That's the existential threat and they're navigating it pretty well so far. The strategy seems balanced, measured, and correct. As the situation evolves I think they have every chance of actually not being disrupted should it come to that.

Yes, but Gemini is actually good and so are their APIs.

I've been in this situation before. Anthropic has a stupid business model but the market can stay irrational longer than you can stay solvent. If you get in there you will be aligned with people who structurally do not lose.

If you have an offer, you can and should ask this question of whomever you're coordinating with. They will give you an honest answer.

To be fair, Facebook was at the time viewed by many as crazily overvalued.

I really wonder is there even enough dump money from them to sell the stock they hold. Not to mention even raising any new capital... Is there really enough bag holders that will run after these stock with large enough piles of money?

Does it matter? Microsoft won by default with Teams because it actually turns out no one cares about chat or even has a choice in it: employees use whatever the company picks.

Their overall margin is negative.

Big picture, sure. We can talk about the millions that corporations will make and who's going to do what. But you're a person. $1 million in options is probably meaningful for you. Companies aren't IPOing, but the secret is that they're still paying employees cash for their options. SpaceX employees have had what's called a tender, which means they get to sell some of their hypothetical SpaceX options for cold hard cash in the bank that you can use to pay your mortgage. There's zero guarantee that Anthropic will do such a thing before the bubble bursts, but if they do, and you're there, who cares about a software company moat when you have enough money to buy a castle in Napa and pay to have a real actual moat with water in it and crocodiles, if that's what you want.

Others are made of different stuff, and are going to go right back to work, even though they could go off to a beach for the rest of forever somewhere.

They would. You can see how resilient GOOG has been during this recent draw-down, and how much growth it has had even as AI sells off.

There are many bitter lessons ...

Apparently the last two times the Super Bowl Ads were dominated by Tech companies was 2000 for dotCom and 2022 for Crypto.

OpenAI has "open" in their name but is closed off to public access and input

Google used to have a motto "don't be evil"

Who enforces the definition of language? Who demands compliance?

Soon as we go down the path of policing and insistence on one true dogma, we veer into religious holy war type behavior.

Obsession with semantics of syntax is a sort of theism even if the syntax and semantics do not refer to the commonly accepted tropes of a specific religion.

OK. I think you moved the goalposts a fair distance there.

They are insane

The secondary platform verifies you and then you indicate interest. If there’s a seller you may get to buy. Company may ROFR. Priority goes to bigger buyers.

They have to approve and it's not as simple - it's just that if you make $200k a year or have $1m in the bank, the government assumes you're a knowledgeable investor and allows you to bypass certain protections.

If you are NOT knowledgeable and simply have money ... well it'll soon be parted.

Look into how their 5 year plans have lead to capital investment with almost zero feedback. A heavily bureaucratic system of bureaucrats incentivized to spend massively to boost their own appearance, and cover up losses/inefficiencies.

Ghost cities, empty high speed rail lines, solar cells being mass produced at a loss.

All these things also produced end products the state wanted, no doubt. But the capital allocation strategy is basically a "throw all the money the leader gives in that direction until the leader says stop".

The EU is no way share or form in a good economic position right now. That's why euro leaders have been kowtowing to Trump despite him being a deranged lunatic.

Delete all American software, American defense, American energy, and Chinese hardware from the EU tomorrow. That's the deep-seated unease that keeps EU leaders up at night. Europe needs to be doing 3-4% GDP growth annually and have a globally competitive top to bottom tech an defense industry, and it needs that years ago.

The problem is that the EU needs to become more like the US to do this, and for people who grew up under the protective overhang of the soviet collapse, this is mostly unthinkable. Just like the US not bankrolling half of Ukraine's defense would be unthinkable...

In retrospect, it is wild how good/successful google was 17-20 years ago!

Google Docs has no features remotely like what Google Wave was.

And there was collaborative editing long before Google Wave.

I guess it depends on your spending. GPT-5.2 and -5.3-Codex are certainly much cheaper: you get much more from the same $20 sub. When I was using Claude as primary I would daily hit limits and have to wait vs on GPT with more usage it only happened to me once in a few months when I was vibecoding non-stop for a week or two to port my personal Windows tools to Linux with multiple other projects being worked on in parallel.

Anecdotally GPT was also smarter than Claude which prompted my move from Claude in the first place: Gemini and Claude back in October failed to get their own harness PID.

Outside of anecdata I rely on https://artificialanalysis.ai/models/capabilities/coding for now.

It's bundled with office and no serious business can live without excel.

> who cares about a software company moat when you have enough money to buy a castle in Napa and pay to have a real actual moat with water in it and crocodiles, if that's what you want.

Doesn't this require their private market valuations to go well into the trillions?

No, it’s not. This is a dangerous perspective, usually held by engineers who think that accounting doesn’t matter and don’t understand it.

You MUST accrue the lifetime value of the assets against the capital expense (R&D in this case) to determine the answer to this question.

The company (until this announcement) had raised $17B and has a $14B revenue rate with 60% operating margin.

It is only negative on margin if you assume the prior 14B (e.g. Claude 4.6 plus whatever’s unreleased) will have no value in 24 months. In that case, well, they probably wasted money training.

If you think their growth rate will continue, then you must only believe the models have a useful 9 months or so life before they are break even.

Anthropic is, according to Dario, profitable on every model <<—- they have trained if you consider them individually. You would do best to think “will this pattern continue?”

Could you be more specific? Because NVDA has a consistent 20 year growth of something like 400x and +30%/yr, so I don't think the bitter lessons are there.

AI sells off… if this is a selloff than I see what everyone is talking about when they are saying we in a bubble :)

That's a really interesting tidbit. Thanks for sharing.

And thinking about it it makes sense since the decision to pay the outrageous rates for an ad during the Superbowl must be driven by strong emotions (confidence or desperation). In this case, considering there's no clear moat for any of the big players, I believe it's the latter.

In this case, it has to do with how they're classified under Delaware law as a corporate entity.

I'm not a lawyer (I don't even play one on TV, damn you Odenkirk) so I can't tell you what that means as far as case law for companies getting punished for behaving badly, but in this case, there is supposedly some sort of legal backing for the classification.

Is there a lot of wasted capital? Sure but a lot of it still produces outcomes.

> A heavily bureaucratic system of bureaucrats incentivized to spend massively to boost their own appearance, and cover up losses/inefficiencies.

In China, if you want to move up politically, you generally need to show results, meaning the province or area you govern is expected to deliver measurable performance (even if politics and connections still matter too). In that sense, you could argue it's more performance driven in some respects than the US.

EVs and solar were clear priorities, and China has been very successful at scaling both and driving costs down. Domestic competition has been so intense (especially in EVs) that margins have gotten extremely thin, and officials have recently signaled they want to curb "irrational" price wars.

> Ghost cities

Sure, some exist, but many of the developments that were circulated online years ago have filled in over time. That said, there's no question a lot of projects stalled or collapsed during the property downturn, especially after China Evergrande and other developers ran into trouble.

> empty high speed rail lines,

I can't speak to every route, but overall the high speed rail network is heavily used. When I traveled in China, it was excellent and extremely extensive. Some lines and stations likely see weaker demand than others, but the idea that it's broadly "empty" doesn't match reality.

> solar cells being mass produced at a loss

With overcapacity and price wars, many firms have faced serious margin pressure and losses though that doesn't mean every producer is losing money on every panel.

In the end, the real question is whether the capital allocation is efficient enough for citizens to benefit and for the country to remain competitive. Empirically, the answer looks closer to yes in industry and infrastructure, while real estate has been a major exception, with real costs and inefficiencies.

The EU and the UK took over aiding Ukraine almost completely in 2025 [1]. So not as unthinkable as you'd think.

> That's why euro leaders have been kowtowing to Trump despite him being a deranged lunatic.

Less to do with economy, more with security. Europe still needs a credible deterrent against Russia, and the US is still its best bet.

[1] https://www.reddit.com/media?url=https%3A%2F%2Fi.redd.it%2Fl...

Few years ago, we had Google Bard, the ancestor of Gemini, which was supposed to be an AI LLM, and when you right-clicked the page, it was a fake page with hardcoded sentences in a .js file...