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 20 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 2 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
Socher: AI search competitors fake citations and prioritize marketing over accuracy
“And when we do a lot of comparisons to the competition, usually the competition spends much more money on marketing and design and less on accuracy of the technology and accuracy of the answers and even the citations. A lot of folks just Fake their citations a…”
Socher: You.com invented RAG at web scale before the term existed
“We realized just like with rag where we had invented rag already, we're doing it at a web scale, but it wasn't yet a term.”
Socher: Only 5% to 10% of enterprise AI seats get utilized
“This comes from a lot of organizations that bought
500 thousand plus seats for their product.
And then after a few months, they look into how many users are actually using it.
And it's like five, 10% in the company actually really use it.
And so, you know, the…”
Socher: AI agents will outnumber human web surfers within years
“I think in the next few years, we're going to see more AI agents surfing the web for people than we'll have people surfing the web.”
Socher: Most workers will become managers of AI agents
“That's what's going to happen when intelligence gets cheaper and cheaper. We'll just be all much more efficient. And most of us have to become managers of AI agents doing work for us.”
Socher: Salesforce Research invented prompt engineering in 2018
“On the research side this was in 2018, we finally culminated all my ideas when we invented prompt engineering, and we didn't quite call it prompt engineering, but the basic idea was there, namely that you can prompt a single model with different questions, and…”
Socher: AI Coding Agents Benefit Average Programmers More Than Top Coders
“At first, like a coding agent, for instance, right now is actually lifting up the at or below average programmers more and more. Like, if you're a solid programmer, but maybe not the best, like, you can get much more productive with an AI agent that helps you …”
Socher: Unicorn seed rounds merge seed risk with late-stage returns
“As an investor, I have shied away from what I call unicorn seed rounds largely because they merge seed stage risk with late stage returns. And if you understand expected value, that's just not a good place to be as an investor.”
Socher: You.com was first to bring LLMs into search
“We're the first to bring LLMs into the search engine space and have some exciting patents some already given some pending on that”
Socher: GenAI thrives when creation is slow but verification is fast
“The longer it takes you to generate an artifact with Gen AI but the faster it is to verify if that artifact is actually useful and good, the better Gen AI can change that, that industry or that workflow.”
Socher: Cheaper AI will dramatically increase total consumption via Jevons paradox
“As the cost of intelligence is going down. We're just going to use more intelligence. Everywhere, right? Like anything from your light switch to like your flight scheduling to your marketing automation, to your tier two support, everything will get more access…”
Socher: Single-employee unicorns will not emerge in next few years
“I don't think we'll have in the next few years, like the sort of unicorn with a single, single employee type of situation. I think that will probably take a little bit longer and we'll be non-trivial to get right.”
Socher: No one was teaching neural nets for NLP globally in 2014
“No one was teaching neural nets for NLP in the world in 2014 when I graduated, and I thought, man, I'm still not, I can't convince some of these older professors, they're so, like sort of prefer other methods and don't believe in neural nets, so I got to train…”
Socher: OpenAI cited Socher's 2018 paper, crediting it with influencing early GPTs
“That paper was actually cited by OpenAI, and they're still doing research papers. Like, we were told by some of the folks that worked on the first version of GPTs, like one and two, that that actually had influenced them to work more in NLP.”
Socher: Gemini's 2M token context window equals one 5MB file
“Google Gemini said, oh, we have a two million token context window, and that sounded amazing until you realize, like, that's one five megabyte file.”
Socher: You.com revenue is doubling every quarter this year
“Revenues doubling every quarter this year and it's becoming really meaningful now.”
Socher: 95% accurate agents fail half the time over 15 steps
“If your agent is like 95% accurate on each step and you multiply .95, like times 15, then like half the time that process will fail, right? If it's not like implemented in a way that's very robust to errors in each step.”
Socher: Georgian Led You.com's Series B Alongside NVIDIA and Salesforce
“The round was led by Georgian and participation from NVIDIA, Salesforce Ventures, several of the existing investors, Softlink Ventures Asia came into”
Socher: Several hedge funds and VC firms are enterprise You.com customers
“We actually have several hedge funds and VC firms that are actual paying customers and get their whole company on it because they understand how powerful it is.”
Socher: You.com receives more queries through its API than its consumer website
“We have millions of users now, which is really exciting to make many millions of calls a day. What's actually even more exciting is that we get an aggregate of more queries through our APIs than we get on even our own and User and user facing u.com property.”