Chapter 1: What are the latest advancements in Google's AI technology?
Welcome to the podcast. I'm your host, Jaden Schaefer.
Chapter 2: What improvements does Gemini 3.1 Pro bring to the table?
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.
Chapter 3: 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. So I'm excited to get into everything going on with Google.
Before we do, if you want to try all of the latest models from OpenAI, Anthropic, Google, Grok, 11 Labs for Audio, totally.
Chapter 4: What new AI features are being added to YouTube TV?
We'll be right back. 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.
Chapter 5: How is Google's AI strategy evolving across its products?
Okay, let's talk about what's going down with Google. 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 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 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,
Chapter 6: What implications does Gemini 3.1 Pro have for AI competition?
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.
Chapter 7: How is YouTube enhancing user experience with AI features?
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 three came out in November. So here we are in February. We ha it's not that far in the distant future and we already have the next model that is out.
Even if people are testing it, it's not fully released to everyone. It is out on the market. And so I'm really excited by that.
Chapter 8: What does the future hold for Google's AI developments?
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 i 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 be like well why are they having to fine-tune it why don't they just do that before they release it i appreciate getting gemini
three pro out getting to play with that for a couple months, and then having them come up with all of their tweaks.
And a lot of times when they make these tweaks, I'll say when they come up with like, let's say Gemini, Gemini four, a lot of the tweaks that they put into Gemini 3.1, they're kind of these like software integrations, these upgrades, if you've noticed with chat GPT recently, when you ask it some sort of math question actually pulls up a literal calculator inside of chat GPT, where it computes your question for you and shows you on a calculator.
Those are kind of like nice things that you would see, for example, in GPT 5.2, like that calculator feature came out. And what's nice is when GPT 5.3 comes out, or even when GPT 6 comes out, that calculator tool is getting built in. So what's exciting to me is when they make these incremental updates, the 3.1, 3.2, 3.3,
All of the little features, all of the little nice to haves and the things that they're kind of building in are going to get rolled over when the whole model gets an entire overhaul. So that's what I'm excited about. They were sharing a bunch of the results from some independent evaluations, a bunch of the benchmarks, especially humanity's last exam.
This is kind of, it feels like the AI models cooked a lot of the benchmarks and just kind of beat them. And they weren't basically hard enough or built well enough for the AI models. And so now we've kind of come up with some more challenging ones. One of the more challenging ones is humanity's last exam. Gemini 3.1 Pro outperformed Gemini 3.
I mean, obviously, if it didn't, I don't think they'd be releasing it to us, but it did it by a huge margin. So the model is also coming up, climbing on a bunch of real world performance leaderboards. This is what I think is actually the most important. A lot of the leaderboards where people are like, look, we like basically anytime these AI companies can can test their own model.
on a benchmark it feels like they are cheating they're being scammy in some way and i mean i don't mean to call the kettle black but i feel like anthropic google and opening i have all been caught doing some form of this over the last few years so i don't really put as much stock in you know because basically those really screenshots where they're like we scored you know 72 on this exam and have a screenshot where it's like they they skipped out a couple of the questions that it
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