Timothy
Co-Founder and Managing Director of the AI Launch Lab; member of the AI Advisory Board at Dawson College
Episode with Timothy
Democratizing AI Education: A Conversation with Timothy from the AI Launch LabTimothy of the AI Launch Lab on training college students in AI through real projects, who gets shut out of the field, and why AI's current harms matter more than AGI.TimothyCo-Founder and Managing Director of the AI Launch Lab; member of the AI Advisory Board at Dawson CollegeIn Timothy’s words
Worry about the harms AI causes today, not the ones that may or may not come.
I think a lot of it is, um, not worth thinking and talking about because it's not relevant to what, what work needs to be done now. It's not relevant to the harms and the risks that exist today. Um, so I'm a big believer in focusing on like current harms and risks versus future harms that may or may not happen.We are not going to lounge while AI does the work. Look at the economics.
just don't think that we're getting those hours back. You know, the idea that we're all going to be like sitting and lounging while AI, AI is doing the work for us, I think is nonsensical.The Luddites weren't against technology. They were against how factory owners used it.
the idea that we have of Luddites is that they were like anti-technology. And, and actually a lot of what they were was not anti-technology, but anti how technology was beginning to be used by factory owners.Who sits in the room when governments discuss AI? CEOs, not the people who were denied credit.
Almost everyone is like, oh, it's an executive or a C it's a CEO from big tech. Right. It's like, these are the people who are in, in the rooms. Like it's not, it's not like somebody who got discriminated against and didn't get like the credit card offer that their husband got.You don't have to want to build AI to be needed in the field.
even if you're like, I don't want to work on AI projects or I don't want to use AI tools, like we need to have people involved who have domain experience. We need to have people who have different perspectives.Data cleaning at a student hackathon went from a day and a half to a few hours in one year.
last year, I'd say it took maybe a day and a half, you know, of course, some exceptions, but a day and a half for students to really get their data together and to get it to be usable, to kind of process it and clean it. This year, by using LLMs to help do that work, it was maybe a few hours to get to that level.Some startups want everyone thinking alike so they row in the same direction. Then they hit the rock.
there's actually historically been this counter position to that, which is that actually you want everyone to have to think similarly so that you're all rowing in the same direction.Ethics teams are being cut now. Timothy thinks the pendulum will swing back.
there's so many things that fall by the wayside. I mean, all the ethics people being fired, you know, from companies and, um, at some point, I think that will kind of swing back the other way.A lot of AGI talk comes from a small circle that has been obsessed for decades.
I am a little bit partial to the idea that a lot of the talk about AGI is a bunch of people who have been in this field for, for years and now people who have not been, you know, for decades and, and who have been obsessed in their little circle talking about what's going to happen when the singularity comes.The lower rungs of every organization are getting stripped away. Here is what that means for entry-level jobs.
I think it's like, you need to race to get to the top of an organization as fast as possible before the, the lower levels just get stripped away. And this is kind of how I was feeling about finance, like years ago when I went back to schoolDon't constrain us or China wins: the argument that keeps AI regulation stuck.
I don't know what the solution is because the economic imperative to use these things is far too high and governments can come in and try to like mitigate harm. But like the status quo is like, don't constrain us because if you constrain us, China's win or, or whatever, whatever the rationale is.AI can drive positive change, but we are nowhere near that yet. Here's why he stays.
I think AI can be a catalyst for positive change. Uh, I don't think we're anywhere near that right now, unfortunately, but I think we can push for that.Is learning on real projects without pay exploitation? Here is the test one non-profit uses.
the idea of like, oh, I'm learning, you know, and I'm not getting paid to do this work. And, you know, is there a sort of exploitation coming out of that? So for us, you know, we always had to make sure, like, look, the value has to be there for the student first and foremost.