Martin LeBlanc | Leading Creative Teams Through the AI Revolution

So if on the innovation front, I think, you know, that like two tracks.

One is all the AI models that are coming out into the market.

They're coming typically from American companies or Chinese companies right now.

And many of these models, they are very, extremely expensive to create.

Like in terms of like, you know, training data, people you need to have on your team to create those are, you know, the best scientists in the world, you know, and amazing talents and so on.

And obviously like many companies don't have access to those people.

But when these companies, they release new models, some of them are so, so much better that it's almost like it doesn't, the innovation doesn't follow a, like a linear curve in terms of like how good they are, these models.

Very often it happens more in jumps.

So one example is like the world before and after chat TPT.

It was like this technology was, we already knew about LLMs and so on, but suddenly one became so good that it was now it's actually useful.

And you can almost like say that date, I think it was like November 22 or something like that.

It was almost like a point in time where you can say before and after.

Yeah.

And there's a really interesting graph from, there's a company called Stack Overflow, where you can go and you can get help with coding problems.

And that site was very popular.

You can say that date when ChatGPT came out, you can see a downward trend, like from that exact date.

So what's happening in the AI world is that very often a new technology comes out, but it's so much better that it just changes the game.

It changes people's behaviors from one day to another.

So we, as our company, it's really hard to predict what's going to happen in six months.

The only thing we knew is that we need to be prepared for suddenly new technologies or AI models coming out that are radically better.

And then we need to act on it very, very fast.

So that means that the whole company and the whole team needs to be, we have to be extremely flexible and we have to be ready to ditch a promising project and jump on a new one because it has more upside.

And we do make that decision in a day max.

You know, it can be something where we just look at that technology and say, okay, that one is so promising.

Don't stop doing what you're doing right now and work on that.

So if on the innovation front, I think, you know, that like two tracks.

One is all the AI models that are coming out into the market.

They're coming typically from American companies or Chinese companies right now.

And many of these models, they are very, extremely expensive to create.

Like in terms of like, you know, training data, people you need to have on your team to create those are, you know, the best scientists in the world, you know, and amazing talents and so on.

And obviously like many companies don't have access to those people.

But when these companies, they release new models, some of them are so, so much better that it's almost like it doesn't, the innovation doesn't follow a, like a linear curve in terms of like how good they are, these models.

Very often it happens more in jumps.

So one example is like the world before and after chat TPT.

It was like this technology was, we already knew about LLMs and so on, but suddenly one became so good that it was now it's actually useful.

And you can almost like say that date, I think it was like November 22 or something like that.

It was almost like a point in time where you can say before and after.

Yeah.

And there's a really interesting graph from, there's a company called Stack Overflow, where you can go and you can get help with coding problems.

And that site was very popular.

You can say that date when ChatGPT came out, you can see a downward trend, like from that exact date.

So what's happening in the AI world is that very often a new technology comes out, but it's so much better that it just changes the game.

It changes people's behaviors from one day to another.

So we, as our company, it's really hard to predict what's going to happen in six months.

The only thing we knew is that we need to be prepared for suddenly new technologies or AI models coming out that are radically better.

And then we need to act on it very, very fast.

So that means that the whole company and the whole team needs to be, we have to be extremely flexible and we have to be ready to ditch a promising project and jump on a new one because it has more upside.

And we do make that decision in a day max.

You know, it can be something where we just look at that technology and say, okay, that one is so promising.

Don't stop doing what you're doing right now and work on that.