Epoch AI Researcher
Researchers, Epoch AI. On 1 show, 1 appearance. The Shows tab opens the full record on each.
analystscientistotherepoch.ai ↗
Researchers at Epoch AI track empirical trends in machine learning, including compute scaling, dataset expansion, and hardware requirements. They model AI capability timelines and evaluate whether superintelligence projections are supported by physical infrastructure constraints.
1shows
1appearances
17statements
3resolved
2supported
0contradicted
67%fully supported
Everything Epoch AI Researcher said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Epoch AI: Human-level AI means 30% GDP growth or human extinction
“Assuming in the next 10 years we get AI that is capable of doing any remote job as well as any human. I think, you know, 30% GDP growth seems like a lower bound on something that's reasonable. Assuming you get, this is a big assumption that a lot of people are…”
Epoch AI: 20-30% chance AI causes sudden 5% unemployment spike
“The, like, interesting scenario to think about, you know, 20% chance, 30% chance something like this will happen in the next decade is like, you know, a five percent increase in unemployment over, over a very short period of time, like six months, due to AI.”
Epoch AI: Energy availability will not bottleneck AI scaling
“At the end of the day, though, it's just like, does not, there seem to be enough solutions, especially if you are as willing to pay as you, as people are in AI, that I don't really expect it to be a significant bottleneck.”
Epoch AI: AI labs would be highly profitable if they paused scaling
“Right now the amount of money companies are actually earning in profit, not including the cost to develop the models initially, is, seems to be, like, very positive, such that if they stop developing bigger and bigger models, and just stick with the ones they'…”
Epoch AI: No slowdown in AI capabilities has been observed yet
“Yeah, I don't, I definitely don't think we've seen any slowdown yet in capabilities from any of these concerns people have.”
Epoch AI: AI will automate at least 10% of jobs within a decade
“I think I would be surprised if there were not five percent of jobs that exist now which AI has automated away over the course of the next decade. I'd honestly, I'd be surprised if it's not 10% of the jobs that exist now, I think.”
Epoch AI: Current trends project a few percent GDP boost by 2030
“My best guess on current trends is this fairly well-defined, you know, few percent of GDP in 2030 thing, which is already pretty crazy by economic standards.”
Epoch AI: Anthropic and Amazon are building the first gigawatt data center
“For instance, we learned that the most likely candidate to have the first gigawatt scale data center is Anthropic, which would not have been my pick but Anthropic Amazon's New Carlisle Project Rainier development seems on track to come online in January follow…”
Epoch AI: Humanity understands AI learning mechanisms better than human learning
“I think we know a lot more about how AIs learn right now than we know about how humans learn”
Epoch AI: 90% of code will eventually be written by AI
“I mean, far more than 90% of the code I write is written by AI these days but I know I'm not like the average coder at all, but it's definitely, I don't think it's like a wild prediction at this point that 90% of code is going to be written by AI.”
Epoch AI: Microsoft's Mount Pleasant data center will consume half NYC's power
“The one we found that's actually seriously underway and has permits and is, you know, setting up the electrical infrastructure for is one by Microsoft, which is going to be used by OpenAI, at least in part in Mount Pleasant. They're calling it Microsoft Fairwa…”
Epoch AI: Most AI compute is spent on product inference, not training
“It does seem as if most compute gets spent on inference that companies don't so far regret like using to offer their products.”
David Owen: AI pre-training receives less focus due to post-training progress
“It seems as if pre-training is comparatively less of a focus than it was before, partly because, like, you have this exciting new direction of, well, new, newish direction of post-training where they've done so much about reasoning”
David Owen: Post-training usage data generates feedback loops for pre-training
“A lot of this stuff is quite synergistic. You develop a better model. You, like, use post-training stuff to make it better. You get a load of data of the model actually being used successfully or not. A lot of that can probably go into pre-training next time.”
Epoch AI: Developer subscription revenue is the top indicator of AI utility
“I think at the end of the day, the most reliable indicator here is going to be how much money these people are making from programmers. And from, you know, subscriptions in general, and it's a lot of money. I think there's definitely indications that people ar…”
Epoch AI: Biological AI breakthroughs lag math due to real-world constraints
“It definitely seems plausible, but there's a lot of other concerns there where it needs to It needs to be able to, like, actually do experiments, and get data, and interact with the real world for a lot of these in a way that does not need to happen at all for…”
Epoch AI: Government attention to AI will double or triple annually
“I think that right now we've seen this thing in revenue and finances where it's been doubling or tripling every year. And my default assumption is that attention that AI gets from policymakers and governments is going to follow a similar trend where it will do…”
One line per show, most statements first. The link opens Epoch's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 a16zLEDGER | Researchers, Epoch AI | 1 | 17 | 67% 2/3 | full record on the a16z Podcast → |