Eric Newcomer
speaker
15,678 appearances
64 recordings
1 series
first heard May 2025
last heard 8 Sep
Eric Newcomer’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 63 in all, peaking in Jul 2026 with 37.
Appearances
And just going through like h you know hundreds and hundreds of prompts.
But how how far can image models go and where are they going and what are the ways in which you think they can
Um
they can be applied.
We were talking earlier too about the downstream impact of of image models.
If you can take, you know, a a physical space somewhere and take a picture of it and imagine it as all these other variations.
There's so much like real world activity that will be driven from that because people can see this thing visually and say, like I now I want to go make that reality, which I think is really cool.
Yeah, I'm I'm very interested to see how uh the advancements in memory intersect with health because I expect that
Uh Chat GT
with where memory has gone where I'll be in a new thread and it will bring up just the right information or tie back to a thread that maybe happened three weeks ago.
when you actually apply that to like health related queries, it may be able to like pick up patterns that sometimes would take a human years to figure out like a certain ailment or something like that, where it's like, hey, you're asking about all these different things and maybe you thought they were not connected.
Turns out they they actually are and you should go down this sort of like rabbit hole.
Yeah.
And it feels like Astra
My view is it really felt like all these different bets coming together, you know, at the right at the right time, right?
The the advancements in in the model itself, the the computer use, voice, all these things.
Um and it uh it's all it's all making sense.
So yeah.
Um
Yeah, put def differently, it felt like when you look at last year, it felt like OpenAI was uh operating like a big company and it and it was a big company, but but the way in which like product experimentation was happening was you know, when you think of like a a hyperscaler, they'll launch a new product b thinking, okay, if there's a twenty percent hit rate or even a ten percent or five percent chance, that's okay.
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