Google is winning on every AI front

As an Ex-OpenAI employee I agree with this. Most of the top ML talent at OpenAI already have left to either do their own thing or join other startups. A few are still there but I doubt if they'll be around in a year. The main successful product from OpenAI is the ChatGPT app, but there's a limit on how much you can charge people for subscription fees. I think soon people expect this service to be provided for free and ads would become the main option to make money out of chatbots. The whole time that I was at OpenAI until now GOOG has been the only individual stock that I've been holding. Despite the threat to their search business I think they'll bounce back because they have a lot of cards to play. OpenAI is an annoyance for Google, because they are willing to burn money to get users. Google can't as easily burn money, since they already have billions of users, but also they are a public company and have to answer to investors. But I doubt if OpenAI investors would sign up to give more money to be burned in a year. Google just needs to ease off on the red tape and make their innovations available to users as fast as they can. (And don't let me get started with Sam Altman.)

> there's a limit on how much you can charge people for subscription fees. I think soon people expect this service to be provided for free and ads would become the main option to make money out of chatbots.

So... I don't think this is certain. A surprising number of people pay for the ChatGPT app and/or competitors. It's be a >$10bn business already. Could maybe be a >$100bn business long term.

Meanwhile... making money from online ads isn't trivial. When the advertising model works well (eg search/adwords), it is a money faucet. But... it can be very hard to get that money faucet going. No guarantees that Google discover a meaningful business model here... and the innovators' dilema is strong.

Also, Google don't have a great history of getting new businesses up and running regardless of tech chops and timing. Google were pioneers to cloud computing... but amazon and MSFT built better businesses.

At this point, everyone is assuming AI will resolve to a "winner-take-most" game that is all about network effect, scale, barriers to entry and such. Maybe it isn't. Or... maybe LLMs themselves are commodities like ISPs.

The actual business models, at this point, aren't even known.

>It's be a >$10bn business already.

But not profitable yet.

The demand is there. People are already becoming addicted to this stuff.

For many, this stuff is mostly about copilot being shoved down everyone's throats via ms office obnoxious ads and distractions, and I haven't yet heard of anyone liking it or perceiving it as an improvement. We are now years into this, so my bets are on the thing fading away slowly and becoming a taboo at Microsoft.

Many recent HN articles about how middle managers are already becoming addicted and forcing it on their peons. One was about the game dev industry in particular.

In my work I see semi-technical people (like basic python ability) wiring together some workflows and doing fairly interesting analytical things that do solve real problems. They are things that could have been done with regular code already but weren't worth the engineering investment.

In the "real world" I see people generating crummy movies and textbooks now. There is a certain type of person it definitely appeals to.