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 967 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 26 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
Pichai: BERT and MUM drove Google Search's largest quality leaps
“BERT and MUM, people underestimate how much, because we measure search quality so religiously, some of the biggest jumps in search quality in that period where search went ahead of everyone else was because of BERT and MUM. We built transformers and used it im…”
Pichai: Gemini Flash models reach 90% of Gemini Pro capability
“The flash models are at like 90% the capability of the pro models but much faster much more effective to serve and the vertical integration helps and so on.”
Pichai: Google Search will evolve into an AI agent manager
“A lot of what are just information seeking queries will be agent taking search, You will be completing tasks. You have many threads running.”
Pichai: Google was behind in frontier LLM models
“So to me, we were behind in terms of frontier LLM models. But we had all the capabilities internally, and we had to execute to meet the moment.”
Pichai: Only two to three labs push the AI frontier
“I think there are two to three labs who are pushing each other pretty vigorously.”
Pichai: Google scaled capital expenditures from $30 billion to $180 billion
“Look, I think, you know, we probably have scaled our capex from thirty billion to a hundred and approximately a hundred and eighty billion.”
Pichai: Google shares the same foundational AI outlook as rival labs
“There are a lot of small attributes, which can probably make a difference, but I don't think at a foundational level, there is a difference in outlook on what the curve is.”
Pichai: Google Is AI Supply Constrained Amid Broad Demand
“To be very clear, you know, we are supply constrained. We are seeing the demand across all the surface areas.”
Gil: AI Coding Supply Could Expand the Software Market 10x
“And to some extent, I think that market has been so demand constrained for great software engineers that suddenly adding supply can 10 X that market, right? In other words, I think the market for software engineering and coding is dramatically bigger than anyb…”
Pichai: AI Will Meaningfully Accelerate US GDP Growth
“So, but I think the US economy is so much larger than it was 10 years ago. So to grow that, even at a half a percentage point higher than, you know, that, that's a massive contribution. So I expect it to play out that way.”
Pichai: Google is exploring deploying data centers in space
“We're in the earliest stages of thinking about data centers in space right, but to your earlier discussion on constraint inspires creativity.”
Pichai: Quantum computing will have an advantage in simulating reality
“My instinct tells me there'll be, you know, simulating weather, simulating, you know, reality, all that, I think, quantum 11 advantage.”
Pichai: Consumer AI interfaces will run full coding models underneath
“Look, I think effectively the consumer interfaces are going to have Full coding models underneath, right? And the right harnesses and like the right scales and the ability to persist and run somewhere securely in the cloud, locally and in the cloud. So all tho…”
Pichai: 2027 will be a profound inflection point for agentic workflows
“I definitely expect in some of these areas, 27 to be Important inflection point for certain things. Even the people doing it, that is the workflow through which they would produce it. And, you know, maybe for a while, you would check it in the conventional way…”
Collison: Real-world industry experience is required to discover massive B2B markets
“You talk to university students and often their ideas for companies are pretty half-baked. Yeah, it's find my friends. It's like a college textbook exchange app, you know, but you know, there's like the five apps or whatever. Whereas so frequently what happens…”
Cacioppo: GDPR remains as vague for engineering implementation as ever
“The theory at the time was GDPR is written by lawyers at a very high level. You see, it's like not a spec you can handle an engineer, like comically kind of bad as an engineering spec, but like, it's fine. We will clarify that in court over the next 10 years, …”
Cacioppo: GRC teams will collapse into single-threaded owners managing AI
“What we're talking about now, and we haven't seen yet, but if I, like, had the future cast and guess, is we're going to see, actually, Those GRC teams collapse a bit more into these single threaded owners.”
Cacioppo: Outbound phone calls are currently working for sales
“Outbound phone calls are currently working.”
Cacioppo: Tying brand identity to a category standard backfires when competitors emerge
“In the early days, before we had competitors, we tried to basically make this call response of, like, someone says, talk to you, someone says Vanta. And this really close association, which in the early, again, when we were just competing against consultants. …”
Collison: Investor updates with lots of words and no metrics signal failure
“I feel like investor updates with a lot of words and no metrics.
Oh yeah, those are bad.
Those are bad.
And actually like, no investor updates is fine.
Like you didn't have to send me.
Yeah, yeah, exactly.
Yeah, no with either very good or very bad.
Yeah.
met…”
Dolgov: Waymo distills driver, simulator, and critic from one foundation model
“The way we think about the, you know, building the Waymo driver it starts with a large off-board foundation model. I can imagine, you know, building a big model that understands how the physical world works and understands the, Important properties of what it …”
Dolgov: Autonomous AI relies more on metrics and data than architecture
“And of course, you know, people like to talk about architectures, but architecture, you know, is important, but really a lot of it comes down primarily to your metrics, to your evaluation mechanisms, to, you know, all of the training recipes, and of course, ne…”
Dolgov: Waymo augments end-to-end models with structured world representations
“So this is where augmenting that learned representation, those learned embeddings from the encoder decoder with that, you know, more, you know, structured representation is what we do, and we find that this kind of gives us additional knobs to simulate, you kn…”
Waymo plans to start operating in London and Tokyo in 2026
“You know, we are planning to start operating in London and in Tokyo this year.”
Waymo Co-CEO: Gen-6 Custom Robotaxi Is Launching in 2026
“It's, you know, we're not, it's not open to the, you know, the public yet. But, you know, I took a ride in it the other day, fully autonomously, and that's coming this year.”
Dolgov: Waymo LiDAR bounced under bus to detect occluded pedestrian
“What actually turned out was happening is that our peripheral lighters bounce under the bus, and there was just a little bit of very, very noisy reflection of the movement of the person's feet. That was enough for the AI models that, hey, I likely there's a pe…”
Waymo runs 3,000 cars delivering 500k rides and 4M miles weekly
“We have about 3000 cars on the roads. We're doing about half a million rides per week. It, that translates to about, you know, over four million fully autonomous miles per week. We are operating in a fully autonomous mode in 11 cities in the US and 10 of those…”
Dolgov: Waymo may serve low-density areas via privately owned vehicles
“And this is where, you know, a personally owned vehicle that is equipped with the Waymo driver is maybe, you know, how you will see it materialized.”
Dolgov: Each additional nine of AV reliability requires 10x more effort
“It's deceptively easy to get started, but it is super hard to go, you know, the full distance and, you know, the number of knives, right? That you have to, like, there's, The standard, you know, engineering rule of thumb that, you know, every next nine takes, …”
Lopes Lara: Fintech and healthcare startups cannot operate by asking forgiveness
“I think that the approach we took from the start was that financial services or healthcare, I think you can't ask for forgiveness. I think there's a big difference between losing people's money, see what goes wrong, like an FTX example that can go very wrong w…”
Lopes Lara: CFTC blocked Kalshi election markets for two years
“Not, well, the biggest they said no to was the elections. That's why we had to end up suing them. They said no for two years.”
Lopes Lara: 80% of Kalshi users only consume information without trading
“Most of our users, like, 80% of our users are actually just looking, like, consuming information. They're just coming in and seeing who's gonna win the Texas primary yesterday, and seeing, like, okay, the, this, the polls are saying they're tied, but they're n…”
Mansour: Kalshi logged $10.4B in trading volume in February
“So, so volume in February was 10.4 billion.”
Lopes Lara: Kalshi is developing derivatives for luxury watches and collectibles
“One thing that we're very excited for, we're actually starting to go in the direction of, for example, things like watches and bags and all of those things are like more going to the collectible side. They're actually able to do derivatives on those things.”
Lopes Lara: Kalshi plans to add futures, swaps, and options
“Right now we only have the binary yes, no. We want to have things like futures, like swaps, options, all of that.”
Lopes Lara: Prediction markets will complement news media rather than destroy it
“A lot of people are like prediction markets will destroy the news. I think it's way more complimentary. It's like when you're talking about an election, you're going to give your opinion, the market's not going to give you an opinion. You still need the commen…”
Lopes Lara: Kalshi fined two insider traders 5x their total profits
“And we put out two cases of two weeks ago of two insiders that then because we're also regulated, we're able to charge them a lot of fines. We charge them over five times what they made and all those things they banned and all that.”
Mansour: Banning prediction markets heightens risks by driving trading offshore
“Because if you ban it,
You're actually heightening the risks that you're trying to prevent, because now that activity is going offshore, right?
Like, and where you cannot monitor it or police it or do anything to protect it.”
Taylor: Sierra AI agents are calling each other in English over PSTN
“So, we have payers with AI agents that pick up the phone. And we have providers that have AI agents that pick up the phone and make phone calls. We have revenue cycle management companies that work to make outbound calls to do it. We've already had- ... We've …”
Taylor: Agent-to-agent phone calls are temporary until better harnesses emerge
“I think it's great that our agents have spoken over the telephone already in English. ... But I don't think it's like the long-term future because there's so much value that you can provide. And put another way, the agents using a sophisticated... Application …”
Taylor: Sierra reached $100M ARR in seven quarters, now around $165M
“We reached a hundred million dollars in ARR in seven quarters, a 150 in eight quarters. We're, I think, around one 65 now, one month into our you know, next quarter or so.”
Taylor: Ramp automates 90% of its customer support cases using Sierra
“Well, they're automating 90% of their cases.”
Taylor: Grounding AI agents is harder for famous brands than obscure ones
“It's actually easier when the internet has never heard of you and you want to make a well-grounded agent, it's actually pretty easy because there's no temptation from the LLMs to go off script. So actually, I would say. Ironically, the harder challenge is when…”
Taylor: Applied AI startups must build ahead of models and discard code
“So the interesting part about building an applied AI company is you can't have the luxury Of waiting for all the models to catch up with your aspirations. But you know they will. So you have to have the best technology and have to be comfortable with throwing …”
Taylor: Sierra uses outcome-based pricing, charging only for fully resolved cases
“So, we do outcomes-based pricing. So, for a customer service context, that means if the AI agent resolves the case, no human intervention there's a pre-negotiated sort of rate for that, and if we do have to escalate to a person, it's free. For sales, it would …”
Taylor: AI token usage does not strongly correlate with delivered business value
“I would argue there's not a strong correlation between token usage or utilization and value. There may be, but there's not always”
Taylor: Overly lean startups risk losing to slightly larger, well-staffed competitors
“If all of a sudden for some you know, clever reason you want to prove you can, the idea that, like, a competitor might have 10 people and beat you is probably more likely than even having a ten billion dollar company.”