I think google ends up the winner. They can keep chugging along and just wait for everyone else to go bankrupt. I guess apple sees it too since the signed with google and not
OpenAI.
For now people identify LLMs and AI with the ChatGPT brand.
This seems like it might be the stickiest thing they can grab ahold of in the long term.
The only reason it's expected now is because of a slow boil.
Then it's doomed. Which is also my opinion, I don't disagree at all with you.
But I tend to agree that the ultimate winner is going to be Google. Maybe Microsoft too.
Unless you're totally dumb or a super genius, LLMs can easily provide that kind of monthly value to you. This is already true for most SOTA models, and will only become more true as they get smarter and as society reconfigures for smoother AI integration.
Right now we are in the "get them hooked" phase of the business cycle. It's working really damn well, arguably better than any other technology ever. People will pay, they're not worried about that.
Plans with unlimited talk/text and 5GB+ of data have been available for <$30 for over a decade now.
The AI labs are not worried.
In the world where you cheap open weight models and free tier closed sources models are flooding the market, you need very good reason to convince regular people to pay for just certain models en masse in b2c market
"Regular People" know ChatGPT. They know Gemini (largely because google shoves it in their face). They don't know anything else (maybe Siri, because they don't know the difference, just that siri now sucks). I'm not sure if I would count <0.1% of tokens generated being "flooding the market".
Just like you don't give much thought to the breed of grass growing in your yard, they don't give much thought to the AI provider they are using. They pay, it does what they want, that's the end of it. These are general consumers, not chronically online tech nerds.
You need to install linux and actively debugging it. For ai, regular people can just easily switch around by opening an browser. There are many low or 0 barrir choices. Do you know windows 11 is mostly free too for b2c customers now? Nobody is paying for anything
> "Regular People" know ChatGPT. They know Gemini (largely because google shoves it in their face). They don't know anything else (maybe Siri, because they don't know the difference, just that siri now sucks). I'm not sure if I would count <0.1% of tokens generated being "flooding the market".
You just proved my point. Yes they are good, but why would people pay for it? Google earns money through ads mostly.
> Just like you don't give much thought to the breed of grass growing in your yard, they don't give much thought to the AI provider they are using. They pay, it does what they want, that's the end of it. These are general consumers, not chronically online tech nerds.
That's exactly the points, because most of the internet services are free. Nobody is paying for anything because they are ads supported
I really dislike Google, but it is painfully obvious they won this. Open AI and Anthropic bleed money. Google can bankroll Gemini indefinitely because they have a very lucrative ad business.
We can't even argue that bankrolling Gemini for them is a bad idea. With Gemini they can have yet another source of data to monetize users from. Technically Gemini can "cost" them money forever, and it would still pay for itself because with it they can know even more data about users to feed their ad business with. You tell LLMs things that they would never know otherwise.
Also, they mostly have the infrastructure already. While everyone spends tons of money to build datacenters, they have those already. Hell, they even make money by renting compute to AI competitor.
Barred some serious unprecedented regulatory action against them (very unlikely), I don't see how they would lose here.
Unfortunately, I might add. i consider Google an insidiously evil corporation. The world would be much better without it.
I'm not using Google services much at all and I don't use Gemini but I'm sure it will serve the users well. I just don't want to be datamined by a company like Google. I don't mind my data improving my services but I don't want it to be used against me for advertising etc.
> This seems like it might be the stickiest thing they can grab ahold of in the long term.
For now, but do you still Xerox paper?
Won't Microsoft own OpenAI after it flames out?
but claude and claude code are different things
>it's [Gemini] nowhere near claude opus
Could you be a bit more specific, because your sibling reply says "pretty close to opus performance" so it would help if you gave additional information about how you use it and how you feel the two compare. Thanks.
Gemini 3.1 (and Gemini 3) are a lot smarter than Claude Opus 4.6
But...
Gemini 3 series are both mediocre at best in agentic coding.
Single shot question(s) about a code problem vs "build this feature autonomously".
Gemini's CLI harness is just not very good and Gemini's approach to agentic coding leaves a lot to be desired. It doesn't perform the double-checking that Codex does, it's slower than Claude, it runs off and does things without asking and not clearly explaining why.
- yes
- yes (not quite as good as CC/Codex but you can swap the API instead of using gemini-cli)
- same stuff as them
- better than others, google got long (1mm) context right before anyone else and doesn't charge two kidneys, an arm, and a leg like anthropic
I would be really curious to know what tools you've tried and are using where gemini feels better to use
Coding has been vastly improved in 3.0 and 3.1, but Google won't give us the full juice as Google usually does.
Google has the datasets, the expertise, and the motivation.
In a lot of industries, you can't afford this anyway, since all code has to be carefully reviewed. A lot of models are great when you do isolated changes with 100-1000 lines.
Sometimes it's okay to ship a lot of code from LLMs, especially for the frontend. But, there are a lot of companies and tasks where backend bugs cost a lot, either in big customers or direct money. No model will allow you to go wild in this case.
Last night I was happily coding away with Codex after writing off Gemini CLI yet again due to weirdness in the CLI tooling.
I ran into a very tedious problem that all of the agents failed to diagnose and were confidently patching random things as solutions back and forth (Claude Code - Opus 4.6, GPT-5.3 Codex, Gemini 3 Pro CLI).
I took a step back, used python script to extract all of the relevant codebase, and popped open the browser and had Gemini-3-Pro set to Pro (highest) reasoning, and GPT-5.2 Pro crunch on it.
They took a good while thinking.
But, they narrowed the problem down to a complex interaction between texture origins, polygon rotations, and a mirroring implementation that was causing issues for one single "player model" running through a scene and not every other model in the scene. You'd think the "spot the difference" would make the problem easier. It did not.
I then took Gemini's proposal and passed it to GPT-5.3-Codex to implement. It actually pushed back and said "I want to do some research because I think there's a better code solution to this". Wait a bit. It solved the problem in the most elegant and compatible way possible.
So, that's a long winded way to say that there _is_ a use for a very smart model that only works in the browser or via API tooling, so long as it has a large context and can think for ages.
On top of every version of Gemini, you also get both Claude models and GPT-OSS 120B. If you're doing webdev, it'll even launch a (self-contained) Chrome to "see" the result of its changes.
I haven't played around Codex, but it blows Claude Code's finicky terminal interface out of the water in my experience.
One thing I don’t get though, if superintelligence is really 5 years away, what’s going to be the point of a fixed-interest 100y bond.
openai and anthropic know already what will happen if they go public :)
But, also, probably google.
Google's main revenue source (~ 75%) is advertising. They will absolutely try to shove in ads into their AI offerings. They simply don't have to do it this quickly.