eric cohen

we're hiring a founding engineer @hillclimbai our goal is to teach models research taste (see more below) if you're good at - RL - training infra - data engineering you'll be employee #5 @ 200k + 1% equity send something about yourself + resume to talent@hillclimb[dot]com

Coinbase CEO, Brian Armstrong: Some great insights on how they are using internally hosted AI Agents. "It’s connected to every Slack message, every Google Doc, and every Salesforce data confluence. Now, this is all linked up and the data is all aggregated, so you can ask these agents questions. Every team is using it—legal, finance, everything. It’s like the "Oracle of Coinbase." I’ve started to ask it things that go beyond just simple prompting, like "Hey, can you write this kind of memo for me?" I’m asking these AI agents now, as CEO, "What should I be aware of in the company that I might not be aware of?" It will tell me, "Did you know that there’s actually disagreement on this team about the strategy?" I realized I didn't know that, but the AI does because it can read every Slack message and every Google Doc. Tobi, who is on my board, calls this "reverse prompting." Instead of telling the AI agent what you want to do, you ask it what you should be thinking more about." --- From @theallinpod YT channel (link in comment)

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Katherine Boyle: "I think @elonmusk's most important contribution to this country is training two generations of engineers to work with their hands again." Source: @KTmBoyle with @WSJ

Naveen Rao gets real about the 'trillions' in GPU spend.. "Where the f*ck are you gonna get the power for that?" Naveen Rao (@NaveenGRao), Co-Founder & CEO, Unconventional AI (@unconvAI) "I mean, you know, everybody here I'm sure has heard all the hype, right? Everything about, "Oh, we're gonna do all this buildout in data centers. We're gonna have this giant advantage." I'm not gonna name company names, but you probably know who I'm talking about. None of this is physically realizable, right? That's what's really kind of annoying to me. I'm like, "Okay, you're talking about a trillion dollars of GPUs. Where the f*ck are you gonna get the power for that? I'm sorry," right? Like, you're just not gonna be able to build these things physically. And the things that have been realized, I mean like the xAI clusters and stuff like that, you know, valiant efforts, no doubt about it. And it's amazing to push through and get it done, but it broke a lot of rules and is doing a lot of stuff very inefficiently. So it's not really something you can do over and over again. To me, you really start changing the world when you make something that's repeatable and you can sustain it. When I say sustain, I don't necessarily mean from any ideological standpoint. I mean just economically. Like, can you do this thing over and over again? Does it get cheaper? You know, can you keep scaling it? And so that's important. You have to have this. So doing something as a one-off is not super to me. Doing something where I can now go from that one-off to something that's scalable, repeatable, will continue to scale, and will kinda hit these Jevons paradox sort of dynamics — that's interesting to me."