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EFF doesn’t allow most people to reply to their X posts. Scroll on their profile right now and you’ll see you likely don’t have the ability to reply to their posts.

This will damage their view count according to the algorithm bc this limits their engagement


AI is incredibly useful for the entire population

Is that why the US's GDP is currently booming into infinity? Or is it only responsible for their unprecedented median standard of living?

You don’t understand it hasn’t trickled down yet

New products do often spread from rich people into the general population.

That's just irrelevant, because people react to what those things are today, not what they can hypothetically be in the future.


Where would we be without cat memes? /s

> It could be, formally, if they have a monopoly.

you have 2 labs at the forefront (Anthropic/OpenAI), Google closely behind, xAI/Meta/half a dozen chinese companies all within 6-12 months. There is plenty of competition and price of equally intelligent tokens rapidly drop whenever a new intelligence level is achieved.

Unless the leading company uses a model to nefariously take over or neutralize another company, I don't really see a monopoly happening in the next 3 years.


Precisely.

I was focusing on a theoretical dynamic analysis of competition (Would a monopoly make having a competitor easier or harder?) but you are right: practically, there are many players, and they are diverse enough in their values and interest to allow collusion.

We could be wrong: each of those could give birth to as many Basilisks (not sure I have a better name for those conscious, invisible, omni-present, self-serving monsters that so many people imagine will emerge) that coordinate and maintain collusion somehow, but classic economics (complementarity, competition, etc.) points at disruption and lowering costs.


> practically, there are many players, and they are diverse enough in their values and interest to allow collusion.

Not only that, but open-weight and fully open-source models are also a thing, and not that far behind.


not if LTV is already only a little higher than CAC and all the marketing channels are already saturated


I don't disagree but in this day/age figuring out who the customers are is fairly trivial with "AI" and then simple marketing campaign will at least point the right eyes to the right place. Unless there is large moat switching will happen (it is already happening across the industry which is why we are hearing about the death of SaaS all that jazz...)


Private companies should have the freedom to ban/censor whatever content on their platforms they want. I’d prefer if they don’t, but we shouldn’t force governments to prevent companies from creating their own rules about how people can use their own software

Governments however should not interfere with citizen’s freedom of speech - there should be no fines/arrests for insulting politicians. Otherwise those governments are actually authoritarian and repressive.


Allowing private companies to do anything they want, when there are only a few large private companies, makes them a shadow state. Europe is much more willing to restrict companies from becoming shadow states. If they make a law that says bank transfers must be used for large payments (or if that becomes de facto true) they also make a law that says banks must give accounts to everyone.


Germany – Robert Habeck insult raids (2024–2025): Multiple citizens faced police raids, investigations, fines, or suspended sentences (jail risk if violated) for online posts calling Green politician Robert Habeck derogatory names like "idiot" or "moron," or sharing mocking memes, under Section 188 enhancing penalties for insulting politicians. https://www.dw.com/en/germany-greens-habeck-presses-charges-...

Germany – Friedrich Merz "Pinocchio" case (2025–2026): A pensioner faced criminal investigation (potential fine or jail under Section 188) for a Facebook post calling Chancellor Friedrich Merz "Pinocchio," prosecuted as an insult likely to impair a politician's public duties. https://www.facebook.com/60minutes/posts/dozens-of-police-te...

Germany – Ricarda Lang insult investigation (2024–2025): A citizen was investigated (potential fine/jail) for an online post calling politician Ricarda Lang "fat," charged as criminal insult under Section 185 protecting officials from derogatory remarks. https://nypost.com/2025/02/21/world-news/germans-cant-insult...

There are UK examples too


And here we are again, spreading lies right?

Robert Habeck was NOT arrested, he and his friends were investigated in the broader case of neo-nazi propaganda which they were spreading as well. Unless you consider neo-nazi freedom of speech, of course.

The Pinocchio case meant exactly one official letter sent to that guy, lol "arrests". The investigation was dropped and everybody criticized the investigation.

Ricarda Lang case was a request to the well-known network Gab to identify who insulted the politician, because in Germany insults are a crime. Maybe in the US insulting is a popular free speech pastime, but this is not US. Gab refused to identify the person and that was that.

So, again, I can see when we are spreading lies to support some ideology, but they are just that: lies.


I did not spread any lies

^ I did not say Robert Habeck was arrested

Re the other cases: in a good democracy, insulting politicians should not be a crime and there should be no investigations for someone insulting a politician.


That is your POV. I fear that democracy erodes when there's insults, belittling, ... instead of exchange of arguments and the contest of ideas. Because at some point insults turn into ugly actions. Whether it's Charlie Kirk or Melissa Hortman.


There is a reason the founding fathers put freedom of speech as the first amendment

Insults should absolutely be protected speech.

In countries that make insulting politicians illegal, all a politician has to do to become a dictator is say that speech criticizing them/their behavior is insulting and therefore illegal

Would you like if Trump arrested anybody who insulted him?


Where is that good democracy? This is not a rhetorical question.


> Unless you consider neo-nazi freedom of speech

I mean that's why it's called free speech. Probably the most famous case the ACLU (American Civil Liberties Union) fought for was to make sure Nazi's could hold a rally and march through Skokie, Illinois, USA an area famous for being predominantly Jewish.


I think the population of Europe widely believes that Nazism should be an exception to free speech. This makes American Nazis very angry.


> Multiple citizens faced police raids, investigations, fines, or suspended sentences (jail risk if violated) for online posts calling Green politician Robert Habeck derogatory names like "idiot" or "moron," or sharing mocking memes [...]

The police raids were done because of the posted Nazi images, NOT because of the Habeck insults.


So it only happens in Germany?


Parameter density is doubling every 3-4 months

What does that mean for 8b models 24mo from now?


“ Models don’t get old as fast as they used to”

^^^ I think the opposite is true

Anthropic and OpenAI are releasing new versions every 60-90 days it seems now, and you could argue they’re going to start releasing even faster


Are they becoming better at the same rate as before though?


In my unscientific experience, yes, but being better at a certain rate is hard to really quantify, unless you just pull some random benchmark numbers.


Per release, I’d say no.

Per period of time, I’d say yes.


No.


yes, pretty much


Both companies are making bank on inference


You may not like this sources, but both the tomato throwers to the green visor crowds agree they are losing money. How and when they make up the difference is up to speculation

https://www.wheresyoured.at/why-everybody-is-losing-money-on... https://www.economist.com/business/2025/12/29/openai-faces-a... https://finance.yahoo.com/news/openais-own-forecast-predicts...


The comment was with reference to inference, not total P&L.

Of course they are losing money in total. They are not, however, losing money per marginal token.

It’s trivial to see this by looking at the market clearing price of advanced open source models and comparing to the inference prices charged by OpenAI.


> green visor crowds

??



That is the big question. Got reliable data on that?

(My gut feeling tells me Claude Code is currently underpriced with regards to inference costs. But that's just a gut feeling...)


https://www.wheresyoured.at/costs/

Their AWS spend being higher than their revenue might hint at the same.

Nobody has reliable data, I think it's fair to assume that even Anthropic is doing voodoo math to sleep at night.


The closed frontier models seem to sell at a substantial premium to inference on open-source models, so that does suggest that there is a decent margin to the inference. The training is where they're losing money, and the bull case is that every model makes money eventually, but the models keep getting bigger or at least more expensive to train, so they're borrowing money to make even more money later (which does need to converge somehow, i.e. they can't just keep shooting larger until the market can't actually afford to pay for the training). The bear case is that this is basically just a treadmill to stay on the frontier where they can make that premium (if the big labs ever stop they'll quickly get caught up by cheaper or even open-source models and lose their edge), in which case it's probably never going to actually become sustainable.


> If we subtract the cost of compute from revenue to calculate the gross margin (on an accounting basis),2 it seems to be about 50% — lower than the norm for software companies (where 60-80% is typical) but still higher than many industries.

https://epoch.ai/gradient-updates/can-ai-companies-become-pr...


The context of that quote is OpenAI as a whole.


Maybe on the API, but I highly doubt that the coding agent subscription plans are profitable at the moment.


Build out distribution first and generate network effects.


For sure not


Could you substantiate that? That take into account training and staffing costs?


The parent specifically said inference, which does not include training and staffing costs.


But those aren't things you can really separate for proprietary models. Keeping inference running also requires staff, not just for the R&D.


for what it's worth many solopreneurs on the X/twitter solopreneur committee were reporting their uploads to TikTok were failing, and I saw at least one conservative complaining that their (conservative political) videos were not uploading to TikTok either


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