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In Machines we Trust

Can Dia Reprogram the Future of AI Agents? Explained

In Machines we Trust

In Machines we Trust

Technology

4.36 Ratings

🗓️ 14 September 2025

⏱️ 13 minutes

🧾️ Download transcript

Summary

The concept of AI agents powered by a flexible skill set is gaining traction. We explore Dia’s role in this shift, and whether the Skill Gallery is the breakthrough the field needs. Dive in for analysis, comparisons, and what this means for future AI architecture. Its promise lies in improving real-world responsiveness. The conversation extends to how this compares to other modular AI initiatives.


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Transcript

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0:00.0

We have recently seen a huge number of companies essentially trying to use AI to automate basic

0:07.0

tasks or complex tasks that you do on a day-to-day basis.

0:10.5

Now, the promise was that AI agents would be able to basically do all these things themselves.

0:16.4

As we're finding agents just like anyone else need to be trained and to train someone, you need an expert on something. So if you're not an expert lawyer, training your AI agent to be your lawyer and to do a specific task for you, can be tricky. But if you had the help of a lawyer to craft the prompt and to read it over, it would be no problem, right? So what is the solution? How do you get an expert's advice or prompts into your agent to complete tasks? Now, there are a ton of

0:38.9

companies tackling this. And this is actually something that myself with my company, AI,

0:43.3

Box, are currently building something low key in stealth towards. So today on the podcast, I want to

0:49.1

talk about a couple of companies, DIA, and also comment from perplexity that are tackling this. I'll give you basically my

0:55.5

thesis on why their approach isn't the best and what they should be doing. And I'll explain

0:59.7

a little bit about what I'm doing with AI Box. I hope at the end of the day, this episode

1:04.0

basically helps you understand what is going on with AI agents and how we can get these things

1:08.3

to perform better, no matter what solution you use.

1:16.4

So to break this down, first of all, I wanted to talk about the first company, which is Dia.

1:21.1

So Dia is a company that it's put out by the browser company, and they basically are created something that they call the first AI browser. So we've heard this a couple times. I think OpenAI is

1:26.5

even working on an AI browser. It's kind of interesting, like the difference between an AI browser versus now we just have chat chit with agents or operator built in, what the need is, what the difference is. We have Anthropic that has computer use. But in any case, the browser company has just launched this first browser called DIA. And basically, this is something that's supposed to have AI built into it.

1:45.7

We've seen like browsers where there's a side panel on the side. We're chatting with Chad

1:49.5

Chibati and it can do things for you in the browser. Basically, it's kind of an interface to

1:53.0

work with an agent. So I do love the concept of browsers with AI and AI agents in them. I think

1:57.8

this is something that's really powerful. So what is going on with

2:02.1

DIA? How are they trying to automate these small tasks? Basically, the problem you run into, and I found

2:06.8

this myself while using chat GPT operator frequently, is that you'll ask it to do something and it can get

2:14.5

through like a bunch of the process, but it just doesn't know enough. It's not an expert in that particular area. You know, I'll try to get it to help me with like podcast editing. And so I'll say like, hey, log into my podcast production platform, go to my latest episode, like trim the beginning silence of the episode, trim the end silence of the episode, look for any anomalies and the,

2:34.3

you know, I'm trying to like explain like basically what a podcast producer would do to

...

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