Likes Slack.

Transcript context

…How about the times where something is being very smart? Where do the best ideas come from these days? I think there's long been this idea that the AIs are good at routine stuff. I used to say, and clearly this is no longer applicable, but I used to say, you can probably automate any routine work that you have at your company if you're willing to put in the elbow grease, but don't expect eureka moments. Now, obviously, we're getting eureka moments on the timeline all the time, at least in certain domains like the open math conjectures and stuff. When it comes to the best ideas at Linde, how many of them are human origin, and how many of them are AI origin today? I hate the censile, but it's it's both. It's it truly comes from this from the union of both. And the reason I hate it is because it led us into this myth of the the centaur. You know? It's like this mythical man horse creature. And so, you know, it's this idea that, like, yes, an AI is better than the human, but you know what's even better than AI? It's AI plus human. Hence, humans are always going to be needed, and that's a fallacy. That's just not true. And the the literature is actually clear that it's like, you know, we've seen it happen with chess and with every other game which which AI has achieved superhuman performance on where at first AI beats human and AI plus human beats just AI. And little by little, the gap of AI plus human versus AI is shrinking until it actually turns negative and humans are introducing, at best, like random noise into the system. So humans actually, at some point, become, like, truly clueless, and and they start harming the system in which they are intervening. That said, the center phase exists at for a while. You know? So the the open question is, like, how long is it going to exist? But right now, we are in the center phase. And I think that's the other reason why multiplayer is so important because you want AI to be you want your agents to be in the room with you, You don't want any random agent to be in the room with you. You want an actual AI employee who's been in the room with you for a long time, who sat in every meeting, who's built up that internal knowledge base about everything that's going on in the company, and you can at mention it and you can invite it to chime in into your conversation in the company. And we do that all the time. We do it actually, it's because it's very easy to do it on Slack. We'll just like, add Lindy. What do you think? You know? It's hard to do in the meeting in a way that, like, now makes us actually more and more. Well, like, we prefer Slack because, like, it's the AI is there. I was like, in the meeting, it's there. It's listening, but it's called Chime in. And so very often now, what we do during meetings, we're like, absolutely here. Like, you know, struggling with this team. Like, Lindy, can you please send us a message after this telling us what you think? And they'll send us a message on Slack. And and so when you do that, it is not the case it is rarely the case that Lindy will first shot, tell you something, and you're like, this is it. This is the thing we should do. But it is almost always the case that we we we go back and forth with Lindy. And and and and from that back and forth, like, misses something. Like, the CI example is is a great one, actually. At first, when we when we invited Lindy into this conversation, it happened over a second. I was like, wait a minute. We're done. Like, why are we not doing this with Lindy? Add Lindy. Can you please optimize OCI? And and it Make…

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