Eric Mitchell

5 statements across 1 episodes · 2 bullish · 0 bearish · 1 people on the record · first statement May 1, 2025 by Eric Mitchell · across every show →

On the record as a speaker too: Eric Mitchell's record, appearances and statements → this page counts the times other people say the name.

Everything said about Eric Mitchell, oldest first

May 1, 2025 bullish
Opinion
Mitchell: AI reasoning improvements will not be limited to math and code
“So like there, I think there's some reason for spikiness, but I think some people will probably go too far with this and saying like, oh yes, these models will only be really good at math and code. And like, not, you know, like everything else is like, you can…”
Eric Mitchell May 1, 2025 ▶ 31:16 No Priors Ep. 113 | With OpenAI's Eric Mitchell and Brandon McKinzie
May 1, 2025 neutral
Insight
Mitchell: Real-world robotics imposes strict latency constraints absent in disembodied AI
“The real world is like an interesting litmus test because at the end of the day, like there is a, you know, frame rate in the real world you need to live on. And it doesn't matter if you get the right answer after you think for two minutes, like, You know, the…”
Eric Mitchell May 1, 2025 ▶ 23:22 No Priors Ep. 113 | With OpenAI's Eric Mitchell and Brandon McKinzie
May 1, 2025
Insight
Mitchell: Physical time bottlenecks make AI tasks harder than simulatable domains
“Stuff that is really bottlenecked by like time, like the physical world is also, you know, just harder than stuff that we can simulate really well.”
Eric Mitchell May 1, 2025 ▶ 21:15 No Priors Ep. 113 | With OpenAI's Eric Mitchell and Brandon McKinzie
May 1, 2025 neutral
Insight
Mitchell: OpenAI limits model agency due to asymmetric error costs
“There's a reason we don't go hog wild and say, like, oh yes, here's, like, the keys to the kingdom, like, have at it. There are still, you know, asymmetric costs to, like, the time you can save and the types of errors you can make, and so we're trying to, like…”
Eric Mitchell May 1, 2025 ▶ 17:47 No Priors Ep. 113 | With OpenAI's Eric Mitchell and Brandon McKinzie
May 1, 2025 positive
Insight
Mitchell: High-quality evaluation benchmarks are underappreciated compared to training data
“I mean, yeah, like you want, you know, good data to train on and that's of course valuable for making the model better, but I think it is often neglected how also important it is to have high quality data, which is like a different definition of high quality w…”
Eric Mitchell May 1, 2025 ▶ 32:58 No Priors Ep. 113 | With OpenAI's Eric Mitchell and Brandon McKinzie
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