person / recommends
Kevin Roose
“On The New York Times, I, I share your disappointment. I, I recommend Kevin Roose and, and Hard Fork out of The New York Times family of-”
Public evidence record
Nathan Labenz
Host · The Cognitive Revolution
- Claims
- 258
- Episodes
- 33
- Shows
- 1
- Named items
- 9
Books, apps, and tools
The evidenced stack.
tool / uses
Claude Max
“And certainly if you were to triple it from there, you'd be getting into something on the order of magnitude of parity with human headcount. What are you doing with it all too? Because I use my $200 Claude Max and my Codex Pro and I honestly don't even hit my limits that often.”
tool / uses
Codex Pro
“And certainly if you were to triple it from there, you'd be getting into something on the order of magnitude of parity with human headcount. What are you doing with it all too? Because I use my $200 Claude Max and my Codex Pro and I honestly don't even hit my limits that often.”
app / uses
Claude Max
“What are you doing with it all too? Because I use my $200 Claude Max and my Codex Pro and I honestly don't even hit my limits that often.”
app / uses
Codex Pro
“What are you doing with it all too? Because I use my $200 Claude Max and my Codex Pro and I honestly don't even hit my limits that often.”
tool / uses
Gemini 3 flash
“I think I used Gemini 3 flash at the time.”
app / uses
Claude
“That's probably the biggest reason that I use Claude is that I perceive it to be most robust to that kind of stuff.”
app / uses
Beeper Desktop
“I use Beeper Desktop to try to like aggregate a half dozen or so of them. That's also kind of painful. I feel like Beeper Desktop is, Good idea crashes a lot for me.”
other / likes
AE Studio
“Is there stuff that we can do or is it, you know, is there is it a different organization's job to figure out how to fill that gap. Because I do feel like I want some more, and I love some of the AE Studio stuff, including self-other overlap.”
Claim ledger
What Nathan said.
7 transcript-backed records
01 / observation
I'm thinking for whatever reason, the ML researchers are like most keen to automate their own labor. And then we see a lot of artists are very hostile to the technology, certainly not all, but that's like a pretty common point of view, especially if it's like, I love doing this.
“I'm thinking for whatever reason, the ML researchers are like most keen to automate their own labor. And then we see a lot of artists are very hostile to the technology, certainly not all, but that's like a pretty common point of view, especially if it's like, I love doing this.”
- Speaker
- Nathan Labenz
- Publisher
- The Cognitive Revolution
02 / observation
I think audience is super diverse, but one common profile is the sort of AI engineer, software engineer who's now doing increasingly everything with AI, both in terms of writing the code, but also the products that they're building are increasingly AI-ified.
“I think audience is super diverse, but one common profile is the sort of AI engineer, software engineer who's now doing increasingly everything with AI, both in terms of writing the code, but also the products that they're building are increasingly AI-ified.”
- Speaker
- Nathan Labenz
- Publisher
- The Cognitive Revolution
03 / observation
A mandatory jailbreak reporting field, a non-technical reviewer, a panic that climbed all the way to the White House, and a blunt verdict on the one move he thinks Dario got wrong.
“A mandatory jailbreak reporting field, a non-technical reviewer, a panic that climbed all the way to the White House, and a blunt verdict on the one move he thinks Dario got wrong.”
- Speaker
- Nathan Labenz
- Publisher
- The Cognitive Revolution
04 / observation
In our experience at Waymark, we've kind of seen often lack of creative is one of the biggest barriers to new advertisers signing up with a platform like Criteo or for that matter, Meta or Google or what have you.
“In our experience at Waymark, we've kind of seen often lack of creative is one of the biggest barriers to new advertisers signing up with a platform like Criteo or for that matter, Meta or Google or what have you.”
- Speaker
- Nathan Labenz
- Episode
- Milliseconds to Match: Criteo's AdTech AI & the Future of Commerce w/ Diarmuid Gill & Liva Ralaivola
- Publisher
- The Cognitive Revolution
05 / observation
I don't know if you are doing this, but obviously there's a big cottage industry that has sprung up to develop and sell reinforcement learning environments to the Frontier labs and you're sort of simulated ending benches like essentially ARL environment, right?
“I don't know if you are doing this, but obviously there's a big cottage industry that has sprung up to develop and sell reinforcement learning environments to the Frontier labs and you're sort of simulated ending benches like essentially ARL environment, right?”
- Speaker
- Nathan Labenz
- Episode
- AI in the AM: 99% off search, GPT-5.5 is "clean", model welfare analysis, & efficient analog compute
- Publisher
- The Cognitive Revolution
06 / observation
I, I, I feel especially because I think Noam Brown and some of the other people from open AI Rune, etcetera said that they are actually using these models in research.
“I, I, I feel especially because I think Noam Brown and some of the other people from open AI Rune, etcetera said that they are actually using these models in research.”
- Speaker
- Nathan Labenz
- Episode
- AI in the AM: 99% off search, GPT-5.5 is "clean", model welfare analysis, & efficient analog compute
- Publisher
- The Cognitive Revolution
07 / observation
One of the one that comes to mind you had actually mentioned last time, but I also think is quite compelling is the seemingly quite strong inverse correlation between the intensity of our consciousness or the sort of resolution, you might say, and how much we are learning as we go. And I think that you used the example of driving last time where it was like when you're first learning to drive, you are very conscious of what you're doing.
“One of the one that comes to mind you had actually mentioned last time, but I also think is quite compelling is the seemingly quite strong inverse correlation between the intensity of our consciousness or the sort of resolution, you might say, and how much we are learning as we go. And I think that you used the example of driving last time where it was like when you're first learning to drive, you are very conscious of what you're doing.”
- Speaker
- Nathan Labenz
- Episode
- Does Learning Require Feeling? Cameron Berg on the latest AI Consciousness & Welfare Research
- Publisher
- The Cognitive Revolution