Welcome to the podcast. I'm your host, Jaden Schaefer. Today on the show, we're talking about Gemini 3 because Google has just launched it. It has a new coding app and it has record breaking scores on a bunch of top benchmarks. But beyond just benchmarks, it has some really cool use cases that have now been enabled. So I'm going to dive into all of that on the podcast today. Before we do, I wanted to say

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There's a link in the description to... I models from Google, Open AI, Anthropic, you get 11 labs for audio and a bunch of cool image

models, all for $20 a month. There's a link in the description to AIbox.a. All right, let's talk

about Gemini 3. So this is just fresh off of the press. And it's actually coming just seven months

after Gemini 2.5 was released, which, as everyone knows, was also a really impressive model

at the time that it was launched. The new model now, Gemini 3 is, of course, the most

capable LLM that Google has built. And it is an immediate contender for some of the, I think

basically the best AI tool on the market today. It's competing directly with opening I

5.1. What I will say in most of the

benchmarks that Gemini 3 does put itself up against, to be completely fair, it's pitting itself

against OpenAI 5, ChatGPT5, because evidently they probably run in a lot of these benchmarks

before 5.1 came out, which was just recent.

Or maybe they realized that 5.1 wasn't quite, uh, it, it, it, it, it, it, it, it, beat Gemini 3, frankly. So, we're, we're seeing it compared to Gemini 5. In any case, it is a really incredible model and it's getting rolled out to billions of people around the world. Sundar Pachai actually had a personal note in his announcement where he said that because of the fact that they've rolled

out Gemini to power the snippets at the top of Google search, that they now have over

two billion users every month that are seeing those AI overviews and are using them, and that the Gemini app itself

has 650 million users per month. We know that OpenAI's ChatGPT has about 800 million per week.

So it's gaining ground quickly and catching up with ChatGPT. More than 70% of Google's cloud

customers use Gemini, and 13 million developers have built

with Gemini models. So it is getting a lot of traction. It's not, you know, like meta AI, which I

feel like is probably struggling in this regard. Um, it's getting a lot of traction and seeing a lot

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