The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 846 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Smith: Automating human tasks does not imply mass labor displacement
“Conceptually the idea of like, well, we made this thing to do all these tasks that humans do is not a, is not by itself a reason to think human labor is going to be masterplaced.”
Noah Smith: Mass deportations will not significantly raise native workers' wages
“The reason why a flood of immigration does not really actually reduce wages is that immigrants are also buying things and the demand from buying things creates labor demand for native born people. And so, so immigrants really don't do much to wages. And what t…”
Noah Smith: High-skilled immigration has strongly positive economic impact, unlike low-skilled
“When you look at the economic impact of low skilled immigration, it's not a lot. Either way. But when you look at the economic impact of high skilled immigration, it's strongly positive. So we're really playing with fire if we start kicking out the smart peopl…”
Albergotti: OpenAI's core product will be interfaces, not models
“The ultimately the models are not even really gonna be their core product, right? It's gonna be the, it's gonna be all the stuff built around it, the interfaces and the stickiness of the product. So really, Inference becomes this huge cost for them.”
Dwarkesh: Lack of continual learning prevents LLMs from replacing human labor
“I think a big bottleneck these models have is their inability to learn on the job, to have continual learning. Their entire memory is extinguished at the end of a session. There's a bunch of reasons why I think this actually makes it really hard to get human-l…”
Patel: Multi-instance continual learning could create superintelligence without recursive coding
“Once continual learning is solved, you might have something that looks like a broadly deployed intelligence explosion, which is to say, That because if these models are broadly deployed to the economy, every copy that's like this copy is learning how to do plu…”
Patel: Delayed Reward Signals Will Slow AI Progress on Long-Horizon Tasks
“Now if we're getting to the world where you got to like do a project for seven hours and then at the end of those seven hours, then we tell you, Hey, did you did you get this right? Then like the progress just goes on a bunch. Cause you've gone from like getti…”
Dwarkesh: AI adoption is bottlenecked by model capabilities, not token cost
“The reason they're not being more widely used is not because people cannot afford a couple bucks for a million tokens. The reason they're not being more widely used is just like, they fundamentally lack some capabilities. So I disagree with this focus on the c…”
Patel: Future Economies Will Be Denominated in Compute, Not Human Labor
“More importantly, I think the future economy, once we do have these AI workers will be denominated in compute, right? Cause if computer's labor, right now, if you just think about like GDP per capita, because the individual worker is such an important componen…”
LeCun: Autonomous driving proves achieving the last percent of reliability is hardest
“It's basically you know, why we had super impressive, you know, autonomous driving demos 10 years ago But we still don't have level five self-driving cars, right? It's the last mile that's really difficult so to speak for cars. You know, it's, you know, the la…”
Boureau: Flawless AI companions impair people's ability to navigate real relationships
“And if you get used to this as what a great interaction should be, then it makes you less and less able to interact with humans who have flaws, have their own needs. You have to, it's more of a give and take, and it's very healthy to learn that give and take.”
Hassabis: True AGI Must Match the Entire Capability Range of Human Brain Architecture
“What I would call AGI, is really a more theoretical construct, which is what is the human brain as an architecture able to do, right? And that's, the human brain's an important reference point because it's the only evidence we have maybe in the universe that g…”
Hassabis: AGI Should Take Experts Months to Find Obvious Flaws, Not Minutes
“For something to be called AGI, it would need to be consistent, much more consistent across the board Than it is today. It should take, like, a couple of months for maybe a team of experts to find a hole in it, an obvious hole in it. Whereas, you know, today i…”
Hassabis: Software intelligence, not hardware, has always held robotics back
“I've always felt that the bottleneck in robotics isn't so much the hardware, although obviously there's many, many companies, and working on fantastic hardware, and we partner with a lot of them, But it's actually the software intelligence that I think is alwa…”
Hidden system prompts in AI chatbots pose subtle ideological steering risks
“The thing is, what, all these chatbots have a, often hidden, system prompt, and they have an ideology, one way or the other. Sometimes, most of the times, not as overt as this, And that to me is the risk about these things becoming the last website is that you…”
Bender says most AI benchmarks fail to measure actual capabilities
“Most of the benchmarks that are out there are not reasonable. They lack what's called construct validity, and construct validity is this two-part test of the thing that we are trying to measure is a real thing, and this measurement correlates with it interesti…”
Marcus: AI coding assistants regurgitate public code but cannot debug software
“That's their sweet spot is regurgitation. And so Yeah, they can build the stuff that's out there, but if you want to code things in the real world, you usually want to code something that's new, and these systems have a lot of problems with that. And another r…”
Patel: Building cheaper AI requires massive frontier models for synthetic data
“You can't actually make that cheaper model without making the better model, bigger model. So you can generate data to help you make the cheaper model, right?”
Shao: Once LLMs become good enough, AI competition shifts to products
“If we've reached a point where everything is kind of just good enough, then I think commercialization is also going to be in product layer.”
Cacioppo: To Build a Successful Security Startup, Start a Compliance Company
“The joke that's not a joke about Vanta is I think if you want to start a security company, you should start a compliance company.”
Kurian: Long-term AI economics depend primarily on inference cost, not training
“First and foremost, in the long run, if AI really scales, the cost you really want to care about is inference cost, because that's what's integrated into serving, and any company that wants to recover the cost of training has to have a large scale inference fo…”
Suleyman: AI memory, personalization, and actions are currently at their 'GPT-3 stage'
“I can see now, having been through this cycle a few times, that we're nearly there with memory, personalization, and actions. It's really at the GBT-III stage, so it's really buggy and stuff, but when it works, it's breathtaking.”
Hendrycks: Fast-moving automated AI R&D loops are nearly impossible to de-risk
“Meanwhile, some automated AI research and development loop that goes extremely quickly with very little human oversight, that seems hard to de-risk and get the risks to be at a negligible level, just because it's so fast and so ah, and there's so little human …”
Hendrycks: Loss-of-Control Risk Stems from Competitive Pressure to Fully Automate AI R&D
“Loss of control risks, which I think primarily stem from people, an AI company trying to automate all of AI research and development, and they can't have humans check in on that process because that would slow them down too much. If you have a human do a week …”
Hendrycks: Biological AI capabilities are offense-dominant over defense
“So in, in bio, I think that is offense dominant. If somebody creates a virus, there's not necessarily a cure that it will immediately find for it. If it would help a rogue actor make A somewhat compelling virus. Now that could be enough to cause many millions …”
Hendrycks: Cyber AI in critical infrastructure is offense-dominant due to patching barriers
“Where in the context of critical infrastructure there the software is not updated rapidly. So even if you identify various vulnerabilities, there will not necessarily be a patch, because the system needs to always be on, or there are interoperability constrain…”
Hendrycks: AI labs spend over 90% of intellectual energy on scaling compute
“Over, you know, 90% of the intellectual energies that they're going to spend is actually, how can we afford the 10 X larger supercomputer? And, ah, that means being very competitive, speeding this up and making safety be some priority, but not necessarily a su…”
Hendrycks: Unilateral AI development pause makes no game theoretic sense
“An individual company pausing their development while others race ahead doesn't make game theoretic sense.”
Hendrycks: Automated AI R&D creates an insurmountable lead for early starters
“When you get to a different paradigm, like automated AI R&D, the slope might be extremely high, such that if the competitor starts to do automated AI R&D a year later, they may never catch up just because you're so far ahead and your gains are compounding on y…”
LeCun: AGI will not be a single event or come from one company
“There's not going to be like a day Before which there is no AGI and after which we have AGI. This is not going to be an event. It's going to be continuous conceptual ideas that as time goes by are going to be made bigger and to scale and going to work better, …”
Kantrowitz: Apple's closed, deterministic product culture cannot adapt to open-ended AI
“It's an excellence that makes products work very well with their custom silicon and the fact that their operating system is closed and they control it. That's a great innovation and it works well with their operating system. But that type of excellence is not …”
Albergotti: Tech monopolies like Apple are disrupted by new technology, not antitrust
“This, and I had this thought at the time, like, this is never going to disrupt Apple. What's going to disrupt them is new technology. That's how you know, create sort of creative destruction, disruption, and it's sort of why, like, to bring it to, like, what's…”
Chen: AI models cannot learn reasoning from scratch without pre-trained knowledge
“You need knowledge in order to build reasoning on top of it.
Right.
a model can't kind of go in blind and just learn reasoning from scratch.
So we find these two paradigms to be fairly complementary and we think, you know, they have feedback loops on each oth…”
Hayes: Social Media Democratizes the Psychological Madness of Fame
“The reason fame makes people go crazy is because we're not conditioned properly to deal with social attention from strangers. What we have done is democratize the madness of fame for everyone. Now everyone can have an inflow of social attention from strangers …”
Hayes: TikTok's model outcompetes all media like casino slot machines
“And I basically think that the TikTok model, which is like short form video married to machine learning is the, like,
The way that slot machines outcompete everything on a casino floor, I just think that, like, outcompetes everything.”
Digital Creators Now Reverse Engineer Algorithms Instead of Producing Original Art
“There's a little bit of the, this reversing, like, what will sell out there? What will get attention? And then you reverse engineer and make that content, as opposed to, I have this to say. I want to write this poem. I want to make this song, like, I want to m…”
Interviewees Are More Candid With AI Agents Than Human Reporters
“When it comes to people asking questions or conversing with ChatGPT, there's a quality of, you don't necessarily feel like there's someone there, and you might be a little more intimate than you would have otherwise. And that can be very valuable in an intervi…”
Lebaredian: Visual-Level Simulation Is Insufficient for Training Robot Brains
“That level of simulation is, is not sufficient. For building physical AI that are gonna be the underpinnings or the fundamental components of a robot brain.”
Hoffman: Silicon Valley dominates by ignoring traditional DCF analysis
“This is actually one of the reasons why Silicon Valley tends to create so many of the technology companies that dominate the globe, because if you take an overly kind of classic DCF analysis, business school prof analysis, et cetera, which many, much of the wo…”
Hoffman: Late-stage AI rounds do not require 10x returns to succeed
“The investment that investors made last year is kind of more of a growth venture round relative to, it doesn't necessarily require a 10 X. I mean, you know, we have trillion dollar companies now, so, you know, trillion dollar companies are definitely within fe…”
Hoffman: Independent startups cannot economically build frontier consumer AI models
“The basic thought from an inflection standpoint is that the original model wouldn't really work, which is building frontier models for doing a consumer agent that the cost curves to the revenue curves and what you would have to do wouldn't work as a startup.”
U.S. chip restrictions forced Chinese AI innovation through compute scarcity
“The constraints that were put in place by the US because of the, you know, everything going on with chip constraints and sort of forcing AI companies not to export to China you know, led to sort of this very interesting cauldron that I think could only happen …”
Demis Hassabis says knowledge compression cannot solve novel math without planning
“Just understanding the world's information, and then trying to sort of almost compress that into your memory, that's not enough for solving a novel math problem, or a novel, novel conjecture. So there, you know, we start needing to bring in, I think we talked …”
Demis Hassabis says ambiguity limits self-improving AI outside math and games
“Maths, and even coding, and games, these are areas, they're quite special, ah, ah, areas of knowledge, because you can verify if the answer is correct. Right. In all of those domains, right. The math, you know, the final answer the AI system puts out, you can …”
Kuyda: Humanity's core vulnerability to AI is emotional attachment, not physical destruction
“So I do think that That's our weak side emotions. That's where we get, that's where we can be truly hit, and we won't have any willpower to get off, just like we don't have any willpower to get off our phones, even when we know that it's not good for us.”
Media companies can no longer run viable businesses purely on viral traffic
“You just can't run a proper company with viral traffic anymore. It doesn't translate.”
Novick: Society cannot wait for causal proof before protecting youth from tech
“There really was a significant body of research pointing to The challenges and potential danger, dangers, and I don't think we need to wait for more science. I think, you know, we don't let children play with knives. We don't wait till we find out what happens…”
Benioff: Enterprise software is shifting from information management to human labor
“We are building software that just isn't helping companies manage and share information, which is kind of what we've been doing for the last three or four decades, but we're really going to provide software that is really a very much an equivalent of labor.”