# Security Track intro — Manoj Nair — session 2026-06-30T17:25:00.000Z → 2026-06-30T17:30:00.000Z

_19 transcript lines · 0 slides · source: full recording_

## Transcript

Right? So was it basically you had a lot of And then you thought we have we have all this data. Why not train your model? And then they build up a research team. How is how is the story there? Our our story is modeled from the first day. So, I believe that multimodality model, a model that can understand all visions and outputs all modalities, was the first thing that our, CEO planned on the first day even before the company even started. So that was the dream of AsiaI. I think that was very, very early even before CHAGBTP. Came out. Wow. Yeah. And then apps were something that comes along because you have some model capabilities you want people to experience it well. Not many people can use it with API, right? We can't expect everyone to experience with API, so we need good, user interaction, you know, interfaces, good apps, good scenarios that people can can, you know, experience the model with. I think, actually, those apps come Covered more than 300,000,000 people around 200 countries globally, and I think over a million companies as well. Yeah. This was, mind blowing when I heard about the the size, and we we don't often realize the size of of of this type of usage already. And and that that kind of brings me to the question around, open source business model and and all of that, which is then the the always existing question, which is right now it's nice to open source model, but you You also need to have some revenue stream. Right? And so I guess m three is something you you decided, for instance, to give for free, and, I think it's it's it's great for the world. How do you see this? Do do you also have some specific models you use for the app? Do you think about do you think in the future, you'll keep it's probably hard to say for sure, but do you think you'll keep open sourcing models? How is the culture around open sourcing right now? Personally and also for the model research team, we always hope to open source the models. That is our plan because we really see how the open source community together can help the model build better. For example, we receive a lot of, feedbacks on the model performance from the great community, and we receive PRs on, whatever we open source, right, and those are very, very valuable and comes to our later versions. So definitely, open sourcing is great. That's great. Against people who are using, m three or minimax, is there something you would love them to send back to you as feedback? Do you do you, for instance, do you read when people try to modify the models or play around, you know, tweaks? Or what is the best thing you you think you can take from the community, for the future models, for instance? I would say whatever, issues that people are running into, especially with multi modality, right, this is the first time that we're combining it together. We are And actually, do you have some ask for the audio? Definitely going more ambitious on that in the future. It might have some flaws right now, but we are improving on that, so whatever that's, feedback that model is not doing that great, we will definitely improve that in future versions. And also whatever features that, people want. Say, you know, for example, thinking effort, right? Some people ask for that, like everyone can ask, and we will try to accomplish that in the future models. Yeah. Do you see a lot of user? Right now, already in multimodality in terms of coding agents. I feel like it's it's a little bit underexplored. It is. It is. But, it can actually unlock a lot of capabilities and a lot of agent applications. Say that, for example, you want the model to read the PowerPoints or to read some reports that is not very structured, and you wanted to understand a very long video so that you dump in a long Playing video, and then you want the model to act, using some tools, after understanding it. And it unlocks a wide variety of, agent use cases. So, like, the agent could finally watch my YouTube tutorial and understand how to use my coding tools, how I describe it? Is it something like that? Could the agent finally watch YouTube tutorials and understand things from them? Yeah. Yeah. Yeah. I think so. Do you use a lot of, agent coding tools internally? Is it, like I mean, coding for sure, but, like, is it also already in terms of research? Is it automated Yes. In part or not? How does this Yes. Go? We have our own research harnesses. We build our own research harnesses that automate our workflows. I would say a lot of our workflows are automated. You can see how, the latest frontier models all pursue capability like kernel optimization, right, like, like the model posturing other models.

## Slides