OpenAI model researcher Aidan McLaughlin discusses past AI models that left a strong emotional impression on him.
Prediction Not checkable as stated
McLaughlin: AI product selection tools will outsmart human buyers within two years
“I do think there's gonna be this, like, really, really cool world that we move into the next, like, year or two here, whereas our tools for selecting, like, products, like, become, like, super, super smart, right? Like, way smarter than me. Like, they're gonna…”
Opinion
McLaughlin: Society must proactively consider AI model welfare as systems advance
“I do think that we should think a lot about like model welfare and like, you know, that like, you know, well-being and like health of these models as they get much smarter than they are today, right?”
Insight
McLaughlin: Initial Political and Capital Conditions Compound Drastically in AGI Trajectory
“That, like, little, little differences in the initial conditions kind of, like, of, you know, AGI being born, or, like, of the politics of the time, or, like, of the, like, capital distribution or whatever I think can compound to, like, incredible differences …”
Insight
McLaughlin: AI Agents Are a 'Nines of Reliability' Scaling Challenge
“The cool thing is, though, is that, like, you know, it's a nines of reliability scaling problem, that as you, like, kind of, like, push these nines out, and as you, like, make them more reliable in many more contexts at some point they are just doing, like, a …”
Insight
McLaughlin: Continuous AI progress can feel weirdly discontinuous to outside users
“Even things that are continuous to us, right. Like, you know, as people that use these tools often still are sometimes weirdly discontinuous to like outsiders. Right. Or to let people that aren't as new to the product. But like, you know four O image gen is li…”
Opinion
McLaughlin: GPT-4.5 was a really interesting moment for AI humor
“I will say you know, GPT 4.5 was like a really interesting moment for humor for me. Right. Where like, you know, I was testing this model internally a lot. And like one of the ways I like kind of realized like, wow, this actually is like a interesting step cha…”