Google Launches Gemini 3.1 and YouTube AI
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What are the latest AI advancements from Google?
Welcome to the podcast. I'm your host, Jaden Schafer.
What improvements are included in the Gemini 3.1 Pro update?
Today on the show, I want to talk about a bunch of AI advancements that have been coming out of Google. Number one, they just released Gemini 3.1 Pro. So this is basically a huge upgrade to their flagship model, and it's breaking a whole bunch of high scores on a bunch of different benchmarks. So I want to break that down, including some really important stuff for AI agents. And then they've also had a big YouTube TV expansion where they're putting a bunch of AI into that program as well.
How does Gemini 3.1 Pro perform on real-world benchmarks?
I love Google because anytime they have an update on, you know, basically their base Gemini model, you get to see a whole bunch of implications across all of their products because Gemini is built into Gmail and YouTube and every other, you know, Google Drive and every other Google product. And there's so many of them. We'll see you then. And if you want to vibe code different AI apps and tools, if you're not a developer, we have a AI builder that we've also just launched.
What new AI features are being added to YouTube TV?
The entire platform I have just redesigned painstakingly from scratch over the last few weeks, and we've rolled this out. So the whole thing is different. If you've tried it in the past, we've tried to simplify it dramatically and make this an amazing tool for non-developers like myself. to create incredible tools. So you can go check it out at AIbox.ai. The whole reskin is officially live on this whole product. Okay, let's talk about what's going down with Google.
How is Google's AI strategy evolving across its product ecosystem?
So right now, I think they're really trying to speed up how fast they push out updates to their AI model. There's a bunch of different places that they're doing this. But I think you have, of course, just the baseline Gemini model getting a lot better. I mean, we just saw in the past they just rolled out music inside of their inside of Gemini and a whole bunch of other cool upgrades like that with the latest from Gemini. The one thing that I will say, so this is obviously the latest from their flagship LLM, but this is not an actual general release that everyone can try right now. This is their kind of a preview that they put out. So certain people, academics and, you know, people that are testing this on Benchmark can try it out, but it's not generally available to everyone.
So a lot of people that are trying it right now are saying that this is a big upgrade. But again, when you kind of have these general releases, like if I'm being 100% transparent,
What are the implications of AI advancements for competition in the tech industry?
Google usually and all of the AI model companies are going to give the early release to people that are big fans and are quite positive and supportive, right? Like if Google came to me and was like, hey, we'll let you test out Gemini 3.1 for a week before everyone else gets it. Let us know what you think. I think there'd be a pretty strong pressure for me to say good things about it. And if I didn't, I wouldn't get early access next time. So I mean, I'm not trying to say Google's cooking the books in any way, shape or form on the benchmarks. But I mean, this is the reality of the situation. So um they have a general release out a lot of people are excited about it saying that it is a big upgrade the one thing that i will give google a lot of credit for is that the last version gemini 3 came out in november so here we are in february we it's not that far in the distant future and we already have the the next model that is out even if people are testing and it's not fully released to everyone it is out on the market and so i'm really excited by that and i'm you know i'm stoked that google has been pushing so hard and has made a big upgrade and on on speed specifically now
The other thing that I think is funny, which is completely not important, but the naming convention, I appreciate that they're going Gemini 3.1, kind of like opening eyes doing GPT 5.1, 5.2, because these aren't like completely new trained models. They just have fine-tuned it a lot. And the one thing that I'll say is some people will be like, well, why are they having to fine-tune it?
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Chapters
8 chapters
1
What are the latest AI advancements from Google?
0:00–0:02
2
What improvements are included in the Gemini 3.1 Pro update?
0:02–0:29
3
How does Gemini 3.1 Pro perform on real-world benchmarks?
0:29–1:14
4
What new AI features are being added to YouTube TV?
1:14–1:41
5
How is Google's AI strategy evolving across its product ecosystem?
1:41–2:26
6
What are the implications of AI advancements for competition in the tech industry?
2:26–4:00
7
How will YouTube's AI enhancements change user interaction with content?
4:00–6:09
8
What does the future hold for Google in the AI landscape?
6:09–12:17