korrents

korrents · Y Combinator

Paul Graham On Startups, Ambition, and Great Founders

Paul Graham · 21m · youtube.com

16 korrents from this recording

Paul Graham did not write this page.

Every claim below is a statement made in this recording, quoted word for word and linked to the second it was said, so you can hear it rather than take our word for it. The wording comes from the transcript published alongside the recording; the sentence above each quote is our reading of the claim, not their wording.

  1. 0:50 · watch on youtube.com

    Most of starting a startup is the same. Most of starting a startup is always the same, right? In you know, microprocessors or AI or like internal combustion engine, it's always the same stuff.
  2. 1:17 · watch on youtube.com

    people are always saying that YC has jumped the shark. You know, and like I remember when people started saying this, which is in about like 2008, right? YC is always this thing that was great, but now it's not what it was, right? Cuz they can't say it was always terrible. They have to admit it was once great.
  3. 3 min later
  4. 4:23 · watch on youtube.com

    the way you make a new Google is not by attacking them head on. You have to wait for things to change so much that their model is is obsolete and that's when you can do it. And that's what Open AI is.
  5. 1 min later
  6. 5:23 · watch on youtube.com

    we knew that it was grueling. And you need you need something to drive you through all those obstacles and honestly being dutiful is not enough.
  7. 1 min later
  8. 5:54 · watch on youtube.com

    You know what actually motivates founders day-to-day? The fear of failure. Even though they're doing this thing that if they succeed they'll be super rich. Um that does motivate them but the thing that motivates them at the at any given moment is the fear of like disaster or looking like a fool, the server crashing, right?
  9. 1 min later
  10. 7:12 · watch on youtube.com

    Those stories are rare because most of this quality is inborn.
  11. 7:33 · watch on youtube.com

    it's not that they lack ambition, it's more like they've been trained not to show it. Because when you're young you're often in situations where you're supposed to be obedient. You're not supposed to like go off and do what you want.
  12. 2 min later
  13. 9:17 · watch on youtube.com

    If you want to seem cool, like starting a startup is just about the least efficient way to do it.
  14. 1 min later
  15. 10:04 · watch on youtube.com

    it's someone who gets what they want in any situation. And so, if you invest in them and you have stock in their company and they have stock in this company, your interests are aligned. If they get what they want, you get what you want, so that's why investors want people who are formidable.
  16. 2 min later
  17. 11:56 · watch on youtube.com

    It's hard it's harder to start a rocket startup on no money, but even a rocket startup you can start on not much money because what you do is you adjust for how much money you've got.
  18. 2 min later
  19. 14:05 · watch on youtube.com

    instead of starting with perfect and then working your way up to human, you start with human and then work your way towards perfect.
  20. 2 min later
  21. 15:40 · watch on youtube.com

    some bits of AI are way across the finish line, some bits are like maybe in the middle of it. Who knew the line had dimension? The finish line is actually this sort of smear. And I think the best answer you can give is like we're on the smear.
  22. 1 min later
  23. 16:21 · watch on youtube.com

    there's still a lot of startups in this batch that are not shipping fast enough. And so obviously there's variation in shipping speed. It's not just the rate at which you can produce things. You have to think of these ideas first, right?
  24. 16:33 · watch on youtube.com

    Everyone always asks me like with all this AI is anything still the same? And the answer is so far almost everything is exactly the same. The only weird The only weird new thing is that companies have these giant AI bills.
  25. 4 min later
  26. 20:04 · watch on youtube.com

    if you if you divide the YC up into little bits where each startup is part of a pod of 70 startups, then it's just like they were back in 2012 when there were 70 startups.
  27. 20:24 · watch on youtube.com

    The answer to your question where the next giant company comes from is it comes from the right founders. Right? It's not some particular idea.