Everything Jared Friedman said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Friedman: Worrying about security and privacy limits AI agent power
“It turns out that, like, the thing that was hampering the world was being worried about security and privacy and all the things that could go wrong, and when you, like, worry a bit less, you're like, oh my god, these things are unbelievably powerful.”
Friedman: Majority of Software Code Is Probably Already Written by AI Agents
“It's already probably the case that the majority of code being written is written by agents.”
Friedman: Tan replicated years of startup work in two weeks using Claude
“I feel like your real feel the AGI moment, Gary, was like getting Claude Code to build basically an entire startup for you, like replicating years of work of your previous startup in like two weeks, which is like insane.”
Friedman: Future SOTA Benchmarks May Come From Swarms of Cheaper AI Models
“It might be that like the next stuff that like is soda on benchmarks is not the most expensive newest foundation model with the most like GPU training. It's like a swarm of lower cost cheaper models working together just like humans do to solve a problem.”
Friedman: Cheap AI makes developers rewrite code rather than debug it
“Like it's wild how your coding style changes when actually writing the code becomes a thousand X cheaper. Like as a human, you would never just like blow away something that you'd worked on for a long time and rewrite it from scratch because you had a bug. You…”
Friedman: AI coding agents will bullshit founders just like human employees
“The AI agents, incidentally, will do exactly the same thing. They will absolutely, like, The AI agents will bullshit you just like a human employee will if you don't, like, if you're not technical enough to, like, call them out on their bullshit and be like, n…”
Friedman: Software adopted by YC startups predicts future global tech winners
“One thing that we know from running YC for a long time is that whatever the companies in the batch use is a very good predictor of what Like the best companies in the world are using, and therefore what products will be most successful. A lot of YC's most succ…”
Friedman: AI is the fastest-improving technology in human history
“It's the fastest any tech has ever improved. I think. Yeah. Certainly faster than processors, certainly faster than the cloud.”
Hard-tech startups find recruiting and fundraising easier than standard software startups
“While launching the product is easy, turning the product into a really big company is actually really hard. Whereas with Boom, it's exactly the opposite. Building a supersonic jet is, like, incredibly hard, but everything else around it is really easy.”
Friedman: Investing Randomly at YC Demo Day Yields Positive Returns
“We have enough data now from Y Combinator over, over the last 11 years to know that if you simply invested randomly in Demo Day companies, You would actually make money over time.”
Friedman: 98% of YC Startups Are Still Fundraising at Demo Day
“Today, a hundred companies will present at demo day, and probably only two or three of them will be done fundraising before. So, 98% of them are still fundraising at demo day and are open to investment for many qualified investors.”
Friedman: Startups Raising Before Demo Day Perform No Better on Average
“In fact, the two or three companies that might have... Finish fundraising before demo day are no better on average than the other companies. It's really quite random which ones choose to fundraise earlier.”
Friedman: Vast majority of founder AI use cases are not coding
“The vast majority of the use cases people are using it for though is not coding.”
Friedman: FDE model is the dominant structure for AI agent startups
“It's actually become, I think the dominant way that the AI agent startups are organizing themselves.”
Friedman: Universities prohibit students from learning essential future AI tools
“They're quite literally prohibiting the students from learning the tools that they are going to need in the future.”
Friedman: Teaching entrepreneurship as a college course creates a cheap facsimile
“Anytime you try to bottle up entrepreneurship and like teach it as a college course, that's kind of what you end up with is like, basically like a sort of like cheap facsimile of entrepreneurship where like they teach you to like, you know, Follow a particular…”
Friedman: Vertical AI agents risk turning into bespoke consulting businesses
“And so their challenge, like a lot of these agent companies is like, How do you build a general purpose product when every customer like wants, you know, has like slightly different workflows and like preferences has a really interesting thing that I see the v…”
Friedman: AI models will solve debugging limitations within six months
“So like, it definitely feels like we're headed in the direction where this may not be true in, you know, six months.”
Friedman: 25% of YC founders report over 95% AI-generated codebases
“One quarter of the founders said that more than 95% of their code base was AI generated”
Friedman: Diode Failed on GPT-4 but Worked on o1 With Same Prompts
“The other thing I think is interesting about this example is like during the batch before a one came out, diode had tried to do this with GPT four. Oh, and it just flat out didn't work. And then they basically tried the same thing, the same prompts, but fed it…”
Friedman: Sam Altman Says OpenAI o2 and o3 Are Not Far Behind
“Sam was just telling us that like O-two and O-three are not far behind.”
Friedman: 50% of YC startups use Cursor while only 12% use GitHub Copilot
“Yeah, we surveyed the summer 24 founders, and half the batch is using Cursor, compared to only 12% that's using GitHub Copilot.”
Friedman: Global scientific progress is bottlenecked by the supply of analytical minds
“The thing that is holding back the rate of scientific and technological progress is arguably the number of smart people who can actually analyze all the information that we already know about the world.”
Friedman: Google's early success warped founders into obsessing over premature scalability
“I actually think Google is indirectly responsible responsible for basically scaling. Warping the minds of a whole generation of founders and investors and creating the problem that Paul Graham had to solve with this, which is because Google became so famous fo…”