Welcome to the podcast. I'm your host, Jaden Schaefer. Today, we have an absolutely packed lineup for the show.

The biggest thing that I've been super excited about yesterday, Anthropic unveiled their hosted AI agents platform.

It's their Claude platform. I've been playing around with it a ton. There's so much there.

And I think this is a really big shift, basically upending a lot of what OpenClaude did

but there's some nuances so we're going to get into that in addition meta just dropped their very

first model that was built with alexander weng remember that's formerly the CEO of scale ai what they

kind of acquired him in we also have a research team at tufts that figured out how to cut AI energy consumption by a factor

of hundreds, which is definitely a big deal if you think about how much power these data

centers are burning through. Eli Lilly just flipped the switch on what they're calling the

most powerful AI human supercomputer in pharma, over a thousand Blackwell GPUs, which are

aimed at cutting drug development timelines in half. Opening eye published a set of policy proposals that include robot taxes and a four-day workweek, which is probably the most opening eye thing I've read in a while. And Google released Gemma 4, which is their latest open source model that's getting a lot of attention for what it can do relative to its size. I mean, basically this is an edge model that you can put on devices. So a lot to cover in the show today. Before we get into that, I want to mention AI Box, which is a tool I use every single day at this point. If you haven't checked it out, it gives you access to over 80 AI models in one place. This is my own startup. So instead of paying for separate subscriptions to Claude, ChatGBTGPT, Gemini, and everything else for, you know, 11 labs for audio or tons of the image models, you get all of that on one platform for $8.99 a month. And we have annual plans to give you 20% off that. It honestly pays for itself pretty fast when you're not stacking three or four different AI subscriptions. The link is in the description. If you want to try it out, you get access to every single top AI model in the world, basically all the best ones in one place. So you're not juggling tabs and juggling subscriptions. All right, let's get into the first story, which is Google Gemini. I want to talk about their new open source situation with Gemini 4. So earlier this week, they released Apache 2.0 license.

And basically, this is their latest family of open models built specifically for reasoning

antigenic workflows. What I think is really interesting about Gemini 4 is what Google is calling,

you know, the best intelligence per parameter ratio in any open model right now.

Basically, you're getting the frontier

level capabilities of what you'd expect out of something like Claude or ChatGPT without needing

a massive hardware setup. You know, something like Lama 4 Maverick requires that huge hardware setup,

and so you're basically getting around that. The model already has over 400 million downloads and the community has

spun up over 100,000 variants, which I think just kind of tells you how quickly developers are

adopting this. I think the significance is that it's less about kind of the benchmarks and it's more

about the trend, right? The gap between open source and closed source models is definitely shrinking.

And I think that Gemini 4 is just another data point in that direction. If we want to get into kind of the licensing on this, the Apache 2.0 license is also really important because it means that companies can actually use this commercially without worrying about any sort of restrictive terms. I remember when Lama first came out for a meta, and they were like, look, it's like an open source model. And it's like, well, it's not really open source.

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