On the record about
10 people · 32 quotes · 17 Nov 2017 to 28 Aug 2026
8 of 10 lanes rest on fewer than 5 quotes and are marked thin. Offsets are days from the middle first-quote date, 30 Jun 2022 — a date, and nothing else. It is not a claim about who reached a view first.
Gurley argues successful AI requires huge datasets on both sides for matching.
“In order to be successful and powerful in these types of areas, you need huge datasets, and you need them on both sides so that you can do the matching.”
Gurley cites $171 billion in first-day wealth transfer over thirty-eight years from IPO underpricing.
“You know, thirty, forty years over the past thirty eight years, 171,000,000,000 in First Day Wealth Transfer.”
Baker cites research showing AI quality doubles with every 10x increase in training data quantity.
“All that matters is the quantity of data, and it's been very well established in multiple papers from both Google and Microsoft research that for every order of magnitude increase in the data you use to train an algorithm, the quality of the AI doubles.”
Baker cites research showing every 10x increase in training data doubles AI quality.
“it's been very well established in multiple papers from both Google and Microsoft research that for every order of magnitude increase in the data you use to train an algorithm, the quality of the AI doubles.”
Friedberg states people under 60 without preexisting conditions face 50 times lower risk from COVID-19.
“the data seems to suggest that people 60 who are healthy don't have sort of preexisting conditions are 50 times less likely to develop or there's a 50X greater chance for those 60 in terms of having a really bad outcome. And so for people 60 who don't have these preexisting conditions, it's just not,”
Friedberg provides specific numbers showing California fires have burned 10% of forest acreage so far.
“Forests make up about a third of our land. So far, we're we're burning three and a half million, so about 10% of our acres.”
Gerstner describes identifying the post-internet data explosion trend nearly a decade ago as foundation for Snowflake thesis.
“when we started thinking about the biggest trends, this was almost a decade ago, the post internet trends, the explosion of data, and how we make sense out of data to yield useful insights.”
Gerstner recalls when next-day sales reports felt like magic as CEO of NLG.
“I remember when I was CEO of NLG, just having a system like Cognos that could give me a report the next day of what we actually sold the day before felt like magic.”
Baker cites research showing AI algorithm quality doubles with every 10x increase in training data.
“Microsoft wrote about this in a research paper ten years ago, or maybe not twelve years ago, the quality of a given AI algorithm doubles with every 10x increase in the amount of data you use to train that algorithm.”
Marks says readily available quantitative data cannot make you superior because everyone has the same information.
“readily available quantitative information about the present can't help you be superior as an investor, or it's not sufficient to be superior.”
Marks argues readily available quantitative data cannot make you superior because everyone has access to it.
“You have to understand that and process it, but it's not enough because everybody else has it readily available and it's quantitative, so everybody can process it.”
“At that time, probably the largest we were known to be the largest users of Amazon's Elastic Compute Cloud because we were ingesting so much data to build these models that related all the variables of farming and the weather to predict outcome.”
“In fact, we did federal Freedom of Information Act requests for the federal government in The U. S. To get hard drives and hard drives of data.”
Gurley cites AI specialist suggesting data exhaustion may limit LLM scaling, not just parameter count.
“And then a very smart, I was having a conversation with Melanie Mitchell from the Santa Fe Institute, who's a very smart AI specialist, and she thinks data may be what causes the asymptote.”
Friedberg recalls buying 17 megabytes of weather data on CD-ROM for $10,000 in 2006 when founding Climate Corp.
“when I started Climate Corp 2006, the first thing I did when I got a seed check to start the company is I went out and bought weather data, and I bought it from a company called RMS that sold weather data. The sales guy was a guy named Jeff Hamlin.”
Friedberg estimates 30 to 40 percent of US workers are employed by or depend on government spending.
“I tried to pull together all this data a couple months ago, but something north of like 30 or 40% of The US working force is touched by the government as a customer of their business, the primary customer of their business or as the employer of those individuals.”
Gerstner cites studies showing children with investment accounts have better educational and economic outcomes.
“We know that kids who have an investment account for birth, they're more likely to graduate from high school. They're more likely to be financially literate.”
Gerstner's data shows Google page views grow 4% annually for users without ChatGPT subscriptions, contrasting with ChatGPT subscribers.
“absent ChatGDP, ChatGPT, maybe Google page views for a particular user are growing 4% per year. So we are consuming more Google.”
Friedberg recalls buying weather data on CD-ROM for $10,000 when starting Climate Corp in 2006.
“The sales guy was a guy named Jeff Hamlin. I'll give him a shout out because he still works at Climate Corp to this day.”
Friedberg recounts buying a CD-ROM with 30 years of weather data for 200 stations when founding Climate Corp.
“I'll give him a shout out because he still works at Climate Corp to this day I hired him after so he sold me a CD ROM of weather data.”
Friedberg paid $10,000 for 17 megabytes of weather data in 2006, now equivalent to two iPhone photos.
“It was 17 megabytes of data. That's like as much data as you get when you take a photo on your iPhone now or two photos on your iPhone pretty much.”
Dearlove argues Palantir uniquely adapted modern democratic security structures to the world of data.
“pull together the diversity and complexity of a modern democratic security structure and make it, let's say, fully adapt it to the world of data in a way that no one else has seemed to have had the conceptual approach.”
Dearlove argues Palantir uniquely adapted democratic security structures to the world of data through conceptual approach.
“make it, let's say, fully adapt it to the world of data in a way that no one else has seemed to have had the conceptual approach.”
Gurley cites 2023 Gallup poll showing 53% of people are disengaged at work.
“there was a Gallup poll in 2023 that like 53% of people are disengaged at work. And that's not great. We've all heard about quiet quitting.”
Gurley cites 2023 Gallup poll showing over 50% aren't engaged at work, only 23% qualify as engaged.
“If you're unfulfilled at work, there's a 2023 Gallup poll study that came out and said over 50% of people aren't actively engaged at work. And the number that qualifies engaged is like 23%.”
Gurley reports survey finding that 60% of people would choose a different career if starting over.
“we did a survey where we asked people if you could go back in time and start your career over again, would you do something different? And six out of 10 said yes.”
Patel explains long context windows fail because pre-training uses short context and lacks data for longer ranges.
“But it's like, what data do I have? That's why my two fifty ks to one mil context is trash anyways, because there's no data on this stuff.”
Lutnick commits to using the best and most precise data for decisions affecting lobstermen.
“We promise you that we will use the best data and the most precise data to make sure that our decisions are right for America, and they need to be right for the lobstermen of Maine.”
Warsh cites Fed's preferred inflation measure at 3.7% over twelve months, above four percent over six months.
“The Fed's preferred measure of inflation, the one I talked about earlier, the twelve month change in the PC price index stands at 3.7%, with the six month change a little above four.”
Warsh reports PCE inflation at 3.7% over twelve months, above 4% over six months.
“The Fed's preferred measure of inflation, the one I talked about earlier, the twelve month change in the PC price index stands at 3.7%, with the six month change a little above four.”
Williams notes productivity growth swings from minus 2 to 7 percent yearly versus 2 percent long-run average.
“Year-over-year productivity growth swings from minus 2 percent to 7 percent, compared to the long-run average of just over 2 percent ( Figure 1 ).”
Williams reports PCE inflation rose to 3.5 percent in March.
“On the price stability side of the Fed’s dual mandate, overall inflation—as measured by the Personal Consumption Expenditures price index—rose to 3-1/2 percent in March.”