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16 results for “ai copilots”
“Low-code finance tools plus AI copilots could exponentially accelerate developer productivity”
that that are really kind of looking at finance first, low code to really supercharge developers rather than citizen developers. And then you start to layer, you know, the AI copilot on top of that an
24:19 / 24:58
market insight24:19 – 24:58
...Copilots are the last breath from the existing enterprise applications to remain relevant. But they're startups. Yeah. But that's even worse. Like, I mean, who wants a copilot? I I wanna be a pilot. Like, I don't wanna have a co pilot. I don't wanna
56:56 / 58:09
from transcript56:56 – 58:09
At a higher altitude, burning more fuel at a higher speed. Right? When pilots start, they put them in the Cessna one seventy two or something. Mhmm. It's a very predictable plane. If you put it in the sky and the pilot dies, it just flies until it ru
1:17:15 / 1:18:20
from transcript1:17:15 – 1:18:20
a little bit performative. Like, is it just to make the passengers feel a little bit better? Because these things obviously are gonna be flown by computers much better than pilots eventually. And eventually, I mean, like, by the end of this year. Yea
1:29:15 / 1:30:27
from transcript1:29:15 – 1:30:27
When you're building AI, the first thing that you need to build is the brakes of the system. It's the understanding on on where you're gonna deploy it and how you're gonna deploy it. We had thousands and millions of information lines about our users,
0:00 / 1:01
from transcript0:00 – 1:01
“How unreliable contractors taught me to pivot my entire business model”
most of these kids didn't show up at the time that they needed to mow that lawn. So I was always under delivering to my users, to my customers. And I ended up, like, changing the whole system to becom
9:21 / 9:37
founder story9:21 – 9:37
to fit into that industry in a way that's extremely deeply embedded. Most people building application layer stuff in an AI say it's 80 to 90% traditional software with 10% AI. It's working in the struct in construction, figuring out how Procore works
17:11 / 18:18
from transcript17:11 – 18:18
out of cockpits. There just isn't. I'm not aware of one mass movement to get pilots out of cockpits. Then the question was why and and of course, that is a, attribute of of human psychology that we are anthropologically tribal and, we don't abstract
21:01 / 22:10
from transcript21:01 – 22:10
So you can talk about it and celebrate it and understand it at a time where our country was an incredible crisis. We were coming out of the financial crisis of, well, wait, this country was in a low place looking for a story. So we were really lucky
33:44 / 34:48
from transcript33:44 – 34:48
So if there is a problem, you could easily have the what does Waymo call their, there's a term that Cruise and Waymo had for the the guides, the Sherpas, the backup pilots, the remote monitors of these. Those remote monitors are ready to take over at
17:58 / 19:03
from transcript17:58 – 19:03
...are the last breath from the existing enterprise applications to remain relevant. But they're startups. Yeah. But that's even worse. Like, I mean, who wants a copilot? I I wanna be a pilot.
55:51 / 57:17
from transcript55:51 – 57:17
A few days ago, we announced the agent mode, in in Copilot and Versus Code. So instead of just, you know, chatting with Copilot and getting responses and then copy and pasting the code into the editor or or using auto completion, the original Copilot
0:49 / 1:56
from transcript0:49 – 1:56
Now, how do you know whether you should assign Copilot to this, the agent to it, or whether you need to refine the issue to be more specific, right? It's crucial that the agent is predictable, that you know that this is a task that the agent can solv
3:03 / 4:12
from transcript3:03 – 4:12
agree, would be safer this year than a pilot. Would you agree with that statement? Assuming you could work your way into the air traffic control system, definitely. The actual, you know, humans make mistakes. Computers make sure a lot of mistakes. An
1:29:57 / 1:31:08
from transcript1:29:57 – 1:31:08
match whatever I pay for Amtrak, which is several, I think, several $100 to get from Providence to New York City, for example. I mean, if you guys are cheaper and faster, I mean It's game over. It's absolutely game over. And so the the last piece now
15:45 / 17:14
from transcript15:45 – 17:14
...there are copilots, and they clearly seem to have something they wanna say, but they're cowed by the pilot and the captain. They don't wanna be correcting them. The captains are sometimes aggressive. And so the whole season is just how can we get the
6:00 / 7:01
from transcript6:00 – 7:01
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