Bart was a flop.
Google search is losing market share to other LLM providers.
Gemini adoption is low, people around me prefer OpenAI because it is good enough and known.
But on the contrary, Nano Banana is very good, so I don't know.
And in the end, I'm pretty confident Google will be the AI race winner, because they got the engineers, they tech background and the money. Unless Google Adsense die, they can continue the race forever.
If Google is producing very good models and they aren’t gaining much traction, that seems like a pretty bad sign for them, right? If they were failing with bad models, the solution would be easy: math and engineer harder, make better models (I mean, this is obviously very hard but it is a clear path). Failing with good models is… confusing, it indicates there’s some unknown problem.
It’s irrelevant, Google needs to focus on performance enhancements that the enterprise market segment demands - who only operate in the air of objectivity.
If they can achieve that they will cut off a key source of blood supply to MSFT+OAI. There is not much money in the consumer market segment from subscribers and entering the ad-business is going to be a lot tougher than people think.
OK, but Gmail, Google Maps, Google Docs, and Google Search etc are ubiquitous. `Google' has even become a verb. Google might take a shotgun approach, but it certainly does create widely used products.
Bart was a flop. Google search is losing market share to other LLM providers. Gemini adoption is low, people around me prefer OpenAI because it is good enough and known.
But on the contrary, Nano Banana is very good, so I don't know. And in the end, I'm pretty confident Google will be the AI race winner, because they got the engineers, they tech background and the money. Unless Google Adsense die, they can continue the race forever.
> Gemini adoption is low, people around me prefer OpenAI because it is good enough and known.
Gemini is built into Android and Google search. People may not be going to gemini.google.com, but that does not mean adoption is low.
If Google is producing very good models and they aren’t gaining much traction, that seems like a pretty bad sign for them, right? If they were failing with bad models, the solution would be easy: math and engineer harder, make better models (I mean, this is obviously very hard but it is a clear path). Failing with good models is… confusing, it indicates there’s some unknown problem.
It’s irrelevant, Google needs to focus on performance enhancements that the enterprise market segment demands - who only operate in the air of objectivity.
If they can achieve that they will cut off a key source of blood supply to MSFT+OAI. There is not much money in the consumer market segment from subscribers and entering the ad-business is going to be a lot tougher than people think.
what are you talking about Gemini adoption has tripled in a few months alone and have around 18% of marketshare and its accelerating.
I’ve heard too many rumors that much of that adoption is from copying ms i.e. bundling gemini into their office suite
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I mean it’s a simple Google search to show that Google isn’t loosing much market share to ChatGPT and most ChatGPT users still use Google.
https://searchengineland.com/nearly-all-chatgpt-users-visit-...
But even more importantly, it obviously isn’t losing money from advertisers to ChatGPT. You can look at their quarterly results.
Anti Gravity is a flop. I mean it uses Gemini under the hood.
But you cannot use it with an API key.
If you're on a workspace account, you can't have normal individual plan.
You have to have the team plan with $100/month or nothing.
Google's product management tier is beyond me.
OK, but Gmail, Google Maps, Google Docs, and Google Search etc are ubiquitous. `Google' has even become a verb. Google might take a shotgun approach, but it certainly does create widely used products.
I will add that there's also Gemini in Chrome. With Chrome being the largest browser by market share, that's a powerful de facto default.
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That doesn't negate my original point.