benterix

People want to get spoon fed all information they need, especially since AI - no?

It's definitely true to some extent, but you can't generalize "people" to some uniform group, we have various needs.

There is a lot of distrust against Google and Microsoft here, also when they opensource stuff, and Chromium and AOSP are great counterexamples.

human rights and all that rubbish

While I understand your point, please think a bit how you formulated the sentence above.

I heard this false justification already in 2007, in spite of many customers asking for it.

Incidentaly, smaller competitors solved this issue decades ago, while the big cloud decided it is more convenient never to implement it.

They clearly know it but have to pretend otherwise to keep the money flowing.

I speak as I think and I type and as I speak, so I do uses em-dashes.

I'm sorry to break it to you but the sentence you just wrote doesn't contain any —s.

Suppose someone wants to play this game, what's the point? Not to mention the fact that Gnome, even though is not a GNU project, literally means GNU Network Object Model Environment.

Eventually the pricing should be more stable.

Why do you think so? This game can be played forever, you just need strong marketing and orgs gullible enough to pay a higher price for a minor upgrade.

As it turns out, when someone (your wife) gets arrested and tells you to do "whatever you need to do" and "move whatever you need to move at the house", it is highly illegal to then proceed to do so.

If it was my wife, I'd probably do my best to save her.

Actually USSR pushed a lot of soft power and spent real money behind it. Especially the authors whose narratives didn't directly violate the narrative of the Party.

Do you have any sources for that? I'd like to read about it.

It would be nice but I have no illusions, it won't happen.

One of the problems is that the term itself got muddled to the point of becoming almost meaningless. It covers anything from pattern recognition, classification, to diffusion models. But the fact remains that many people have a love/hate relationship with LLMs.

The per token costs are still dramatically subsidized. The major AI models are priced below cost especially when accounting for depreciation.

Not sure if we can confidently say that unless the first of these companies goes public.

OTOH... We know these plans are heavily subsidized, and we're happy to use them to the limits. At some point they will run out of investor money and will have to readjust. Do you think people using the existing plans will switch to per-API-call payments? Or, how many of them will?

Given enormous competition and good progress on the part of the Chinese and open models, I'd say let's enjoy the situation while it lasts. It's like chap Uber drives a decade ago subsidized by Saudi money. I have no sympathy neither for sama/amodei nor people who invest in their companies, and happy to use their resources in this crazy show where everybody pretends something and pushes their own agenda.

Yeah LLMs/GenAI is the current hype but it's just a tiny fragment of the general landscape.

the US and its allies

Which allies?

Well, you can start with this:

https://www.theguardian.com/us-news/2026/may/11/musk-v-opena...

I'd say it's almost impossible at that point. Specifically, Altman said so many lies in the past that people stopped believing anything he says.

I think the core of this distrust is the fact that these companies positioned themselves against humanity from the start by saying people will lose most jobs etc. Not only it didn't happen, but many people feel several aspects of their lives got worse because of LLMs, in spite of obvious advantages. So the distrust and reluctance are real.

People think otherwise with AI partly because Anthropic kept telling us that they didn't have to write code or review code any more for most of their work. Their agent swarms just comb through their github, slack and wikis to figure out what to do next, and another swarm of agents just review, test, merge, deploy, A/B test, and revert the code. Boris alone merged nearly 300 PRs in the past week (or two?).

Apart from many other issues with this, heavily subsidized subscription plans won't last forever, and if you start burning your own money on tokens in this way, you'll soon realize it's terribly inefficient.

While you're probably right, reading your comment from a consumer perspective it makes me think how much we've normalized bait & switch.

As it happens in large orgs, with mixed results. The biggest irony being the whole Transformer architecture being actually conceived at Google, only to be implemented as a product/service by another company.

Well, many people don't have very warm feelings for American LLM providers so they don't care. (Which matters because, at least anecdotally, they do care when buying a new car.)

But you're mentioning several things that predate the current LLM craze and belong to the ML domain. These mostly benefit from GPUs but often have much lower hardware requirements. I'm talking specifically about the moat of LLM providers.

The AI companies will want to control what's possible and find new things to do that "need" their services.

That's correct. The problem is they have smart people, tons of money, and several years to figure that out, and the best thing they can come up is a coding agent.

I wouldn't say "completely implode", too much money was poured int it, but it's clear we're heading in that direction. You get a model that is "good enough", plus privacy, plus savings in the long term.

Paradoxically, the better results we get from general harness of coding agents, the less moat Claude and co. get. It's unbelievably how fast some open models outpaced frontier models of just a few months ago.

I'm torn these days. The subject matter is interesting, but the LLM writing cliches just make it unreadable, I gave up after half a minute.

There will be businesses no human can comprehend or manage.

I believe we're getting close to that in pure math.

You can’t imagine writing software without Claude Code anymore.

I know it's a hyperbole but repeat a lie often enough...

I believe you are explaining very basic things to an LLM.

I believe by now we know exactly what it's good at and what it's terrible at.

The problem is that our CEO's fear of the future that pushes them to peculiar decisions that objectively make no sense (cf the infamous discussion of the Microsoft employee on Github that couldn't force its agent to do the proper thing).

It's not the first time I witness this kind of discrepancy and probably not the last, I just learned to adapt to it.