Prediction Not checkable as stated
Adam D'Angelo: LLMs will perform all human tasks cheaper within 5-15 years
“I do think at some point you get to LMs can, they can do Everything, every single thing a human can do for cheaper. Like, I don't see a reason why we don't eventually get there. That may take five, 1015 years.”
Opinion
Adam D'Angelo: Current LLM architectures are not hitting performance limits
“I don't think so. I mean, I think there are certain things like memory and learning, like continuous learning that are not very easy with the current architectures. I think even those you can sort of fake and maybe are, we're going to be able to get them to wo…”
Prediction Not checkable as stated
Adam D'Angelo: Current AI paradigm is far from diminishing returns
“I think the current paradigm is pretty good. And I think we're nowhere near the sort of like diminishing returns of continuing to push on it. And I bet. Yeah, I guess I would just bet that you can keep doing different innovations within the paradigm to get the…”
Prediction Not checkable as stated
Adam D'Angelo: Top experts can solve fundamental AI challenges within five years
“Nothing seems fundamentally so hard that it couldn't be solved by the smartest people in the world working incredibly hard for the next five years.”
Prediction Not checkable as stated
Adam D'Angelo: AI computer use will automate major work within two years
“And then there's some things like computer use that are still not quite there, but I think we'll almost definitely get there in the next year or two. And when you have that, I think we're gonna be able to automate a large portion of what people do.”
Insight
Adam D'Angelo: AGI is achieved when AI can do any remote job
“One definition I kind of like is if you say that you have a remote worker, a human, any job that can be done by someone whose job can be done remotely that, that's AGI.”
Prediction Not checkable as stated
Adam D'Angelo: Brute-force scaling will yield AI capable of average human jobs
“I think that's going to be more a function of when we can produce something that is as good as human intelligence, even if it takes a lot more compute, a lot more energy, a lot more training data. We could just put in all that energy and still get to software …”
Prediction Not checkable as stated
Adam D'Angelo: GDP growth will exceed 5% if AI automates work cheaply
“I think you're gonna get to much more than four to five percent GDP growth in that world.”
Assertion Supported
Adam D'Angelo: LLMs are substituting for entry-level computer science jobs
“CS majors graduating from college, there's just not as many jobs as there used to be, and LLMs are a little more substitutable for what they previously would have done, and I'm sure that's contributing to it.”
Assertion Not checkable as stated
Adam D'Angelo: Feed recommendation algorithms are already superhuman at predicting interest
“Recommender systems, the system that ranks your Facebook or Instagram or Quora feed, those recommender systems are already superhuman at predicting what you're gonna be interested in, in reading.”
Prediction Not checkable as stated
Adam D'Angelo: AI tools will replace 100-person software engineering teams within years
“And if you imagine that they're going to get there, and I think there's no reason why they wouldn't, it'll take a few years, but then it's like everyone in the world is going to be able to create any things that would have taken a team of a hundred professiona…”
Prediction Not checkable as stated
D'Angelo: Scaling AI models will reach human-level quality in many cases
“As these models continue to scale up, the quality is going to go higher and higher to the point where it actually will be as good as human quality in, in a lot of cases.”
Prediction Not checkable as stated
D'Angelo: AI hallucination rates will fall but never reach zero
“And I think hallucinations are gonna, the rate is gonna go down as the models get better, but it's never gonna get to the point where it's a hundred percent perfect.”
Prediction Not checkable as stated
Adam D'Angelo: AI scaling laws will drive exponential progress for many years
“So far they have held. My prediction would be there are some issues that need to be overcome, but there's just this incredible industry, so many talented people right now who are trying to Make this technology advance, and there's so much money behind it. The …”
Prediction Not checkable as stated
D'Angelo: Frontier AI model providers will maintain strong profit margins
“And so it's, you know, right now it's OpenAI, Google, maybe Anthropic. Maybe, maybe Meta can be there. Those who can get there, I think it's going to be good business. You'll be able to make a lot of money. You can have good profit margins. You'll have to work…”
Prediction Not checkable as stated
D'Angelo: Non-frontier AI models six-plus months behind face brutal commoditization
“I think when you go six months behind the frontier, even definitely one year, it's brutal. There's just way too many people that are able to get the capital and the resources to train those models. And so it's going to be either fully open source or there will…”
Insight
D'Angelo: AI hallucinations favor startups over risk-averse incumbents
“The hallucination problem, that's in some ways a good thing for startups because a lot of the existing products out there have zero tolerance for anything that's going to have a risk of producing something wrong.”
Assertion Partly supported
D'Angelo: Perplexity is taking search market share from Google
“I think with perplexity getting share from Google right now.”
Insight
Adam D'Angelo: Context delivery, not raw intelligence, bottlenecks current AI models
“I think a lot of what's holding back the models these days is not Actually, intelligence. It's getting the right context into the model so that it can Be able to use its intelligence.”
What-if
Adam D'Angelo: AI would be far more disruptive in a 1990s corporate landscape
“I think if you had an environment more like we had in, say, like the nineties, I think this would actually be more disruptive than the current hyper, hyper competitive world that we're in now.”
Insight
Adam D'Angelo: Network effects play a smaller role in AI than Web 2.0
“I think network effects are playing much less of a role now than they did in the web two era also, and that, that makes it easier for competitors to get started. There's still a scale advantage because, you know, if you have more users, you can get more data. …”
Prediction Not checkable as stated
Adam D'Angelo: Data will become the primary bottleneck for AI development
“As you have, you know, as intelligence gets cheaper and cheaper and more and more powerful, the bottleneck, I think, is increasingly going to be on the data and what do you need to create that intelligence? And so that's going to cause this, that's going to ca…”
Disclosure
Adam D'Angelo: Quora has partnerships with major AI labs for data
“We have relationships with some of the AI labs and we're gonna sort of play the role, Quora will play the role that it is meant to play in this ecosystem, which is a, as a source of human knowledge.”
Prediction Not checkable as stated
Adam D'Angelo: Computer science fundamentals will remain essential for managing AI agents
“Having these skills to understand the sort of fundamentals of what's possible with algorithms and data structures, I think that actually really helps you in, in managing agents when you're using them. And I, I'm guessing that it will continue to be a valuable …”
Adam D'Angelo