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In Machines we Trust

Dissecting In-Depth Deep Learning with Mistral's Deep Research

In Machines we Trust

In Machines we Trust

Technology

00 Ratings

🗓️ 30 July 2025

⏱️ 12 minutes

🧾️ Download transcript

Summary

In this episode, we’re analyzing in-depth llm development from the perspective of Mistral's Deep Research. Discover how this work is reshaping the AI landscape and setting a new standard for innovation in AI. We’ll break down the most important insights, explore real-world implications, and share why this matters now more than ever.


Transcript

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0:00.0

Mistral has just ruled out a new tool that is keeping it, I think, competitive with most of the other

0:05.8

AI players, and that is deep research.

0:07.9

Now, for those that have been following Mistrel for a while, you'll know that this is an interesting

0:10.5

company.

0:10.9

It's based in France over in Europe.

0:13.8

And it's kind of the biggest AI competitor to ChatGBTGPT and Groch and Gemini over in

0:19.6

Europe.

0:20.1

Now, it has a bunch of really interesting kind of features that chat GPT and other players

0:25.5

over here don't have.

0:26.5

It's trying to compete.

0:27.6

But it does seem like some of these features that it rolls out are a little bit behind

0:31.4

deep research.

0:32.2

You know, many months ago, most of the American companies implemented.

0:35.4

They've just implemented it.

0:36.6

But they're doing some interesting things for enterprise customers in different sectors that make it a little bit trickier,

0:43.5

and so they're actually able to still grab a sizable part of the market. So I want to dive in today

0:48.2

on the podcast on what exactly is included in their deep research, why it's slightly different

0:51.8

than what's happening with some of the American competitors, the industries they're targeting, and overall where Mistral is,

0:58.5

because I think they have some interesting stuff that they're going to be working on in the

1:03.7

near future. So let's dive into all of that. Before we do, I wanted to mention, if you want to try

1:08.6

out any of the top AI models, I would

1:11.4

love for you to go check out AIbox.a.I. It's my own startup, and we just released a beta

...

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