Three years after Google sounded alarm bells over ChatGPT, the tables have turned.
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I'm not a heavy user, but the few times I've compared ChatGPT to the AI results at the top of a Google Search, ChatGPT is much better. But maybe the Google Search AI uses a different model? It's not a good advertisement for the quality of Gemini.Ok,I use LLMs daily (GPT, Claude, Gemini, occasionally Grok, often running the same thing and comparing), and I’m really struggling to see what exactly makes Gemini so much ahead of GPT/Claude (except maybe image generation, but it’s also a mixed bag).
Even then Nvidia is hoping nobody comes up with a better algorithm.It turns out that now the genie is out of the bottle, anyone with enough GPU horsepower, access to commercially-available datasets - and a willingness to burn through vast amounts of energy - can train their own perfectly capable models.
The idea that this would remain the sole domain of one or two specialist AI companies, who would get people hooked then jack up the price to achieve profitability, was always a bit of a fantasy. They thought they were the ones selling shovels during an AI gold-rush, but instead that's Nvidia.
Imagine an AI apocalypse being averted because Google kills it at the last minute. Without knowing about what the AI was plotting.Pretty amusing that the company that's known for hyping up products only to kill them off later is the one in the lead on AI.
There's lots of dollars to burn through still. But the amounts per month keeps increasing, which means there might not be that much time.They haven't even gotten around to swindling retail investors yet. There's a ton more fleece to be fleeced before this stupid Ponzi scheme collapses.
Ok,I use LLMs daily (GPT, Claude, Gemini, occasionally Grok, often running the same thing and comparing), and I’m really struggling to see what exactly makes Gemini so much ahead of GPT/Claude (except maybe image generation, but it’s also a mixed bag).
To me this seems like exactly what it shouldn't be doing. They're diverting their attention away from how they're going to make money to think about how they can beat Google (and Anthropic, and Meta, and everyone else) in a race to the bottom fighting over what is clearly now a commodity? In my view they should be focusing on how to make ChatGPT a more useful and sticky tool for consumers, and monetizing that experience...and probably partnering with Microsoft, Samsung, Dell, and everyone else to get it into as many consumer-side hands as possible.The company will push back work on advertising integration
Well, at some point OpenAPI just declares bankruptcy, leaves all the cloud infrastructure providers and other creditors holding the bag, and Sam Altman sails off on a yacht made of bonuses to find the next set ofsuckersinvestors for the Next Big Thing (VR metaverse AGI on the blockchain?).
“Set up” is a compound verb.What kinds of things do you use it for? Just curious. I run a few questions through copilot which uses ChatGPT but I've never been really impressed with it. I mean, no AI is going to provide me a useful plan to keep dogwalkers dogs out of my yard, that I can guarantee. Like Google search, the best AI will come up with is "get motion activated sprinklers." Yeah, right. (Dogwalkers have an entitlement they have acquired over the years and there isn't a good way to remove it, although I have some plans that are working, and they involve human generated answers. AI never came close).
Here's my real world example.
Question. How do you keep dogwalkers from letting their dogs trespass on your property?
AI answer:
Setup motion activated sprinklers.
Human answer (me, myself, and I):
Setup a new Reolink PTZ camera with high intensity LED lights that follow the dogwalker and dog around the perimeter of the yard.
I can tell you this, the human answer above blows the AI answer out of the water because it actually works. (winter and summer)
They have a very serious dilemma here.I fail to see the winning move here.
OpenAI gets a good result.
Google amps up their work, and gets a good result.
Microsoft repeat that.
Facebook repeat that.
Grok repeat that.
Everyone ramps up the money burning.
End result ... No one company is going to dominate this field.
Everyone burns vast amounts of money.
The LLM model isn't going to lead to Terminator style AI. It's just going to get better text prediction.
There is no first mover advantage in a cash-burning competition.Sam is running a masterclass on how to fumble first-mover advantage.
Sam is running a masterclass on how to fumble first-mover advantage.
Still not seeing a path to profitability though. How long can OpenAI continue to burn through investor cash?
A cynical view could be that they know ads can't fill the hole (and will lose them users). Using this as an excuse to keep their user numbers as high as possible, whilst promising 'jam tomorrow' for investors keeps their value up. Demonstrating ads don't work by deploying them would be a disaster for them.Well the other thing is that they may have realized that adding ads may have not been the solution to reducing their ever-increasing cash burn rate. If a $200-a-month subscription is still losing them a lot of money per subscriber, then I don't see how adding ads can help that situation either.
I had a good laugh at this, because you are right, Nvidia is the one selling shovels, for two things:It turns out that now the genie is out of the bottle, anyone with enough GPU horsepower, access to commercially-available datasets - and a willingness to burn through vast amounts of energy - can train their own perfectly capable models.
The idea that this would remain the sole domain of one or two specialist AI companies, who would get people hooked then jack up the price to achieve profitability, was always a bit of a fantasy. They thought they were the ones selling shovels during an AI gold-rush, but instead that's Nvidia.
I got 6 months of Gemini Pro from a phone upgrade so I've been using Gemini a lot. So, it's not just me. 3 does seem a lot better, to the point I'll probably pay for it when the trial comes up soon. I'm not sure I could do without it.
fully agree. Just a shame the US government is anti-competition for its donors, and is now using their trade war with the EU to nullify any privacy, competition, other rules the EU has adopted.Sorry to be that guy but isn't Google's practice of integrating Gemini into Google Search basically anticompetitive? It's clearly using its monopoly in search to prop its AI.
Glorious... Basically, if AI is your only revenue stream, you're fucked.They have a very serious dilemma here.
Reading between the lines, the projects Sam is delaying all relate to monetizing users. I think he knows that if ChatGPT is the first to put up a paywall or annoying ads, all their users will jump ship. Since all the models are very close in performance, everyone wants to build a loyal user base before trying to monetize them. But the user data seem to show that there is no brand loyalty. There are no network effects either. It's very hard to see how anyone can start charging for these services without losing all their customers, as long as anyone is providing this for free.
I don't think Google fumbled that advantage. They simply didn't think LLMs were ready for public consumption at the time that ChatGPT was introduced, and they were largely correct. They only started introducing public capabilities because of the need to attract money and open source/public researchers and developers to their platforms. Whether that's been a net positive in the race to build a zero-labor economy is something that cannot and will not be known until the race is actually finished.Here's my hot take: It was actually Google that fumbled the first-mover advantage (And that is classic Google).
Google rebranded as an AI company years before OpenAI gained popularity.
Google invented TPU's a decade ago when OpenAI was founded.
Google created TensorFlow, one of the main software libraries for machine learning and that wasn't even Google's first-gen AI software stack, that'd be Google Brain which dates back to 2011.
You need three things to make AI work: Researchers, Data and Hardware. Google are the only player in the industry that has all 3 of those in-house.
Google had (and still has) every advantage over everyone else in this industry and they fumbled it massively, at least until now it seems.
To be very clear: The above should not be taken as a ringing endorsement for Google, rather quite the opposite.
If we take the LMArena leaderboard seriously, then some concern is warranted. I just looked, and the current leaderboard looks like this:
1. Gemini-3-pro
2. Grok-4.1-thinking
3/4. Calude-opus-4-5-2025....
5. GPT-5.1-high
6. Grok-4.1
7. Claude-opus-4-1-2025...
8. Calude-sonnet-4-5...
9. Gemini-2.5-pro
10. Claude-sonnet-4-5...
(Claude version numbers are long!)
So OpenAI has one model out of the top 10 overall (taken from the Arena Overview). If I were burning money the way they are, I'd like to be doing a bit better than that.
We analyzed 500 votes from the leaderboard ourselves. We disagreed with 52% of them, and strongly disagreed with 39%.
I'm sorry, but dogs dont understand the concept of personal property, or property lines; even if you gave them all the proper tools, I have it on good authority that even the smartest dog in the world would not be able to do a basic property assessment (probably related to a lack of thumbs, but...).What kinds of things do you use it for? Just curious. I run a few questions through copilot which uses ChatGPT but I've never been really impressed with it. I mean, no AI is going to provide me a useful plan to keep dogwalkers dogs out of my yard, that I can guarantee. Like Google search, the best AI will come up with is "get motion activated sprinklers." Yeah, right. (Dogwalkers have an entitlement they have acquired over the years and there isn't a good way to remove it, although I have some plans that are working, and they involve human generated answers. AI never came close).
Here's my real world example.
Question. How do you keep dogwalkers from letting their dogs trespass on your property?
AI answer:
Setup motion activated sprinklers.
Human answer (me, myself, and I):
Setup a new Reolink PTZ camera with high intensity LED lights that follow the dogwalker and dog around the perimeter of the yard.
I can tell you this, the human answer above blows the AI answer out of the water because it actually works. (winter and summer)
Never, really—as long as actual objects of value exist, then fiat currencies will too. Money is ultimately created by value, and not vice versa—"the map is not the territory".Sooo here's the thing I think. They are accelerating the cash they are burning. At what point will they have burned through all the cash that exists?
Yes it is, but since Google has gotten what amounts to a finger wag and a "tut, tut" for everything it's done so far, they're not worried about it.Sorry to be that guy but isn't Google's practice of integrating Gemini into Google Search basically anticompetitive? It's clearly using its monopoly in search to prop its AI.
Have you tried cayenne pepper yet - that sure af will scare dogs away. The downside is you'd have to keep a stock of it on hand and spread it aound 1-2 per week or after it rains.no AI is going to provide me a useful plan to keep dogwalkers dogs out of my yard, that I can guarantee.
The solution: buy all the RAM in the world, fuck those plebs.It is effectively impossible to have a "moat" in this class of products, and the costs associated with them are going down and will soon be low enough that users can run all the models they want locally.
How is any of this supposed to lead to a situation where there is a positive return on investment?