Stephen Fenech

So what Meta has done, they've employed a team of physicians to develop the model's ability to respond to the most common health questions.

Health has become, as I said, one of the main reasons that users turn to AI.

So imagine if...

there's an AI platform that can look at images and charts just like a real doctor and maybe come up with some conclusions to what it sees.

Pretty impressive.

Now, it can also launch multiple sub-agents to fully answer your questions.

So you can ask pretty complex things.

And there are

You could kind of do this already, but this new model makes it a little bit more efficient.

I think dives a little bit deeper into what you get here.

For example, if you're planning a family trip and you want to create an itinerary and you state what you want.

So in the question, this picture's on TechGuide on our story.

The question here is create a customized seven-day travel itinerary for a cultural and food-focused trip to Florida.

I'm traveling with a family of five, including three children aged 12, 9, and 7.

So the itinerary should prioritize kid-friendly destinations, activities, and dining options.

So that's a lot to get through there.

And so the example, you see the image, the screenshot.

Meta, the new Spark starts running three sub-agents to then come up with the full plan or the suggestion.

You don't have to follow it if you don't want to, but the suggestion that it comes up with, like imagine how many Google searches and time it would have taken you to come up with that on your own.

It can now do that all together.