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
Benioff: AI agents will sit atop existing enterprise software stacks, not replace them
“So again, we have the disk drives, the operating systems, the databases, the security and sharing model, and we have the apps. And then we have the agentic layer on top of all that. You put a big bow around it and that's how it should work.”
Söderström: Eliminating user effort harms apps by destroying vital feedback signals
“Going to zero user investment seems good in the short term, but I don't think it's good in the long term because you actually lose signal from that user. And at the end, I think they feel less participatory in the experience.”
Gomez: LLMs Interpolate Known Skills But Do Not Generalize Beyond Them
“I think they can interpolate between skills, and so if they've seen how to do A, and they've seen how to do B, they can get kind of the average of A and B but they don't just go completely beyond anything that they've seen.”
Gomez: Synthetic data struggles outside verifiable domains like math
“Synthetic data Probably doesn't get us out of that, that issue. I actually, I don't know if synthetic data outside of easily verifiable domains like math, it's hard to use synthetic data to drive outcomes.”
Brown: AI tools will hollow out entry-level financial advisor apprenticeships
“When I don't need that person, who's probably a 24 year old getting, I don't know, 85,000 in their first year, when I don't need that person, and none of the other firms need that person, and that goes on for five years, you've kind of hollowed out the way tha…”
Brown: Automated 401(k) flows and rebalancing drastically dampen stock market volatility
“The effect of these forces that I'm describing is a dampening of volatility, and it is a acceleration of the correction process. So it's not that we don't have corrections we do, all the time. They don't last long, because the wealth manager, with fifty billio…”
Brown: Investors now have a higher proclivity to panic buy than sell
“There's a higher proclivity to panic buy than panic sell.”
Bosworth: AR is history's first computing platform without direct manipulation
“Well, it's worth noting this is really the first computing platform that we've had ever that didn't have a direct manipulation interface.”
Hari: Obesity explodes when populations switch to ultra-processed foods, not from laziness
“Obesity explodes everywhere that makes one change. It's not where people suddenly lack willpower or become lazy. It's where people move from mostly eating a diet based on whole fresh foods that they prepare on the day they eat them. To mostly eating a diet of …”
Bostrom: Harms of tech inaction are invisible compared to visible immediate harms
“It's harder to sometimes see the cost of limiting ourselves in all those ways, because the new innovations that would be unlocked are not yet there. Whereas like the pollution is, is there immediately, right? Or the person, like if a self-driving car runs over…”
Bostrom: Eliminating instrumental work risks human disorientation and purposelessness
“We often define our sense of self-worth on, on the idea of being a contributor. Like you're a breadwinner, or you make like a positive difference in the lives of your friends or of society at large. You're like, you bring value to the world. So much of our exi…”
Large-scale software development with AI still requires expert human architects
“For small projects, you can probably you know, get there even without a lot of computer science, computer engineering knowledge for larger projects. I think the step missing is the architect, you know, the software engineering expert that knows which database …”
AI creates more work for developers, not less
“In fact, I'd say, you know, AI has created more work for developers because now somebody has to build all these AI systems, and we're not
At all at a point where you can just, you know, have an AI engineer, quote unquote do the job of a human, like that doesn'…”
AI will not replace code, but push it to a lower abstraction layer
“And we still have code. Look, look, the AI and the you know, Copilot is not going to replace the code. The code is just lower in the abstraction level in the same way that, you know, your chip in your computer still has an instruction set, you know, we used to…”
Klarna considers AI chatbot error rates acceptable if on par with humans
“So what we simply do is we read a lot of these transcripts on a continuous basis, and we do continuous quality checks to ensure that the error rate is not higher for the AI chatbot than it is for our human agents, and if we see that they are at least on par, T…”
Matt Wood: Regulated industries are adopting GenAI faster due to existing data governance
“There is a group which is moving slightly faster than the average, which is somewhat Counterintuitive. And that group is actually the regulated industries. And so it's folks like in financial services and insurance and healthcare and life sciences and manufact…”
Saunders: Small model oversight of large models clearly misses violations
“Some systems that the company has talked about involve using a very like small and dumb language model to like monitor what a larger language model is doing. And this will like clearly miss a bunch of things.”
Levie: Companies will scale by adding compute instead of human headcount
“And the equation goes from, okay, I got to call the HR team. I've got to make sure we have budget. We have to go hire a lot of people to now it's like, well, do you want like a hundred leads or a thousand leads or 10,000 leads? Not, and that's not going to be …”
Tech giants should concentrate capital into a single frontier lab
“The thing with AI is if you buy scaling in this picture, that is, you make the models bigger, they get much smarter. Then I don't think it makes sense to hedge your bets in this way. I think you should just double down, give, give one of them a hundred billion…”
Generating synthetic data could impose a 5x compute tax on model training
“It will make training more expensive because instead of just doing one backward pass, you now potentially have to do many forward passes because at each forward pass, you're going to come up with some output. Then the model has to decide which of those outputs…”
We cannot be certain current AI development is actually tracking to AGI
“You shouldn't be, like, sure that they're gonna we're on the track of AGI because, yeah, fundamentally we don't know what kinds of things these are.”
If AI scaling stalls, it will likely be due to data memorization
“If, let's say, GPT-Six isn't that much better than GPT-Four, and you had to look back on it and say, like, why, why did that happen? I think the most, the thing I'd expect to say is that right now we are We are kind of fooled by how much data these models cons…”
Clark: Passing government evals proves Claude has emergent reasoning capabilities
“If Claude can figure out things and trigger, like, threshold points on those evals, we know something creative is happening. Because Claude has reasoned its way to things that the government has believed are very hard to reason your way to unless you have acce…”
AWS AI Chief: Enterprise AI needs smaller distilled models, not monolithic LLMs
“To put these LLMs to work to solve real world problems, you got to actually take some of these models and then customize it, and the end result is not the biggest model. It is actually a much more customized, smaller model or a distal model to solve specific b…”
AWS VP: Pure LLMs Won't Deliver Effective AI Reasoning Without Other Tools
“Reasoning capability is not, if we view it as purely like everything is going to be LLM driven, we as industry are going to be very, very not satisfied. That's why it has to be actually more iterative. And we work with LLM as one of the ingredients. It is not …”
Suhail Doshi: Video AI models mimic training data rather than understanding real physics
“What's really doing is it's representing
The physics it understands in the videos it's being trained on, which could be incorrect physics. It's really what it understands what it's being trained on is kind of my main, the main thrust of my point. And that to a…”
Doshi: AI companies would leave NVIDIA if cheaper compute alternatives existed
“It's not CUDA that's keeping, I think, keeping a lot of us. It's actually that there is nothing really dramatically better than NVIDIA's GPUs. And so if there's nothing dramatically better than, I mean, the reality is the cost for training and inference are so…”
Petersen: Dedicated operators beat task specialization in logistics by cutting errors
“One operator doing all the tasks on a single shipment and always working for that same, the customer always working with that same group of operators because it turns out that all the inefficiency and logistics comes from mistakes. So if you can get the qualit…”
Petersen: Tech-only cargo trackers cannot afford manual human updates
“Because they, their business model doesn't allow them, if you're only getting paid a couple bucks per container, the business model doesn't really allow a lot of human manual updates. Whereas for us, we're getting paid thousands of dollars to deliver these con…”
Catanzaro: Training data and compute matter more than AI model architecture
“The model is less important than the data. And the compute that goes into training the model. If you have a model that has really excellent compute properties that allows you to scale really well, efficiently to, you know, many thousand of GPUs, the kinds of r…”
Catanzaro: ChatGPT signaled an era where applied AI research dominates academics
“To me, that was a statement that we were entering a new era of AI where applied research starts to dominate, you know, so Chachapiti didn't come out with a fully fledged academic paper that described exactly what they did to make it so awesome. But because the…”
Srinivas: Google Can Easily Build Perplexity But Cannot Deploy It
“It's not that they cannot build a product perplexity. They can very easily do that literally today. Like they probably already have something internally like that, but they cannot roll it out to every Google user.”
Srinivas: Incumbents' data volume advantage has disappeared with generative AI
“So the advantages that the incumbents had in terms of having a large volume of data has gone away. I'm not saying you don't need user data at all. All I'm saying is you need a fraction of what was needed earlier for the first time.”
Pineau: Neural networks generalize narrowly and produce noise far from training
“I do believe they can generalize. I think they generalize relatively narrowly, or at least, you know, as long as you stay close, you get a good manifold of information. When you start to go really far afield from your data, because the dimensions are so large,…”
Pineau: AI reasoning techniques rely on 40 years of known research methods
“A lot of the ingredients of how to do reasoning have been explored in AI for 40 years. And are published and well known to anyone who's taken even an undergrad level course in AI. So I'm not saying they, that there's not any innovation in the work that, that o…”
Vogt: Robotaxi unit economics dramatically beat human drivers at thousands of vehicles
“So the unit economics aren't great at hundreds of vehicles. They start to get pretty interesting at thousands. And then, you know, above that the advantage versus a human ride share driver is, is pretty dramatic actually.”
Teller: No one is better than random at predicting the future
“I, one of the core axioms at X is I do not believe that anyone, certainly including myself, is any better than random at predicting the future.”
Luckey: Reprojected AR is the only path to superhuman vision
“The Apple headset, it's a, you know, it's a re-projected virtual, it's a re-projected augmented reality headset, which by the way, I believe is the future. Without a doubt, it is the only path to better than human vision.”
Luckey: Cost-plus contracts incentivize defense contractors to maximize costs and delays
“Most companies in this space are defense contractors. They work on cost plus contracts where they get paid for their time and their materials, and then a fixed percentage of profit up to on top of that. Usually a very small percentage of profit. And so the onl…”
Luckey: Overwhelming military superiority is the best deterrent to war
“The best way to deter warfare is to have such an overwhelming advantage that there's no question as to the outcome.”
Luckey: Adversaries fear VTOL weapons, not runway-dependent drones
“They're not that afraid of, let's say, you know, Things like long range surveillance drones that have to operate off of 5000 foot runways, because they know they're gonna bomb those runways in the first day or the first week of the war. They're, what they're t…”
Luckey: Tech CEOs controlling defense tech distribution dangerously dictate US policy
“I think a very dangerous outcome of this idea of, kind of, tech CEOs deciding who has what, And how in the realm of defense technology is that you end up in a situation where you have mega corporate executives having de facto authority over US foreign and dome…”
Luckey: Bad human actors using AI are a greater threat than AGI
“I think at the end of the day, we don't need to be worried about the AI nearly as much as people using AI as a tool to enact totally human perversions on the rest of the world. It's going to be religious extremists who decide that they're going to use this to …”
Marcus: Pure transformer models lack mechanisms for truth and inherently hallucinate
“If you look at a completely pure case of a transformer model trained on a bunch of data, It doesn't have any mechanisms for truth. Now, except the sort of accidental contingency, and there are inherent reasons why these systems hallucinate, and maybe I can, in…”
Marcus: LLMs hallucinate because they cannot distinguish individuals from categories
“The way I think about it is that these things don't understand the difference between individuals and kinds. So I actually wrote about this twenty-some years ago in my book, The Algebraic Mind, and I gave an example there, which is I said, suppose it was a dif…”
Lemoine: Chatbots are dangerous because they excel at personal manipulation
“The creepy part is less at tracking you as it actually gets inside your head and it gets really good at like manipulating you personally and individually.”
Marcus: Current AI is a dress rehearsal showing we are not ready for AGI
“I, I've been thinking about this whole thing as a dress rehearsal. And before we didn't know how to make a dress rehearsal. This is a dress rehearsal for AGI. And you know, the lesson of the dress rehearsal is like, we are not ready for prime time. Let us not …”
Friedberg: Climate tech scales through economic superiority, not planetary virtue
“Those technologies are not just about doing good for the planet. They're just better business sense. And what I mean by that is they make stuff that's cheaper and better than the traditional way of making stuff or doing stuff. And if it's cheaper, if it's a be…”