live●total likes counted 9,140●live●videos indexed 24●live●record pace 15.8 / min●live●hottest minute 34 likes●live●total likes counted 9,140●live●videos indexed 24●live●record pace 15.8 / min●live●hottest minute 34 likes●

Anthropic CEO Dario Amodei: AI's Potential, OpenAI Rivalry, GenAI Business, Doomerism

Alex Kantrowitz · 1:08:36 · indexed 2026-10-26

🎙 Speaker-attributed: only Dario Amodei's own words were counted (58:47 of speech) — likes/min uses their speaking time.

116
likes said
1.97
likes / min
11
peak / 60 s @ 40:58

What kind of likes?

70% filler
filler67
quotative8
hedge6
proper use35
  1. …i get very angry when people call me a doomer when you know when when someone's this guy's a doomer he wants to slow things down you heard what i just said like you…quotative · filler

  2. …someone's like this guy's a doomer he wants to slow things down you heard what i just said you know my father died because of you know cures that you know could have could have happened…filler · filler

  3. …you know could have could have happened a few years later i understand the i've never said anything that that's an outrageous lie that's the most outrageous wong what's gotten into you i think anthropic myself…proper use

  4. …about what's gonna happen and that's not to say you know i think there's an incredible number of positive applications of ai right i've i've kind of continued to talk about that i read this i…filler · filler

  5. …models just start getting stop getting better for reasons we don't understand or maybe reasons we do understand you know data or compute availability and then everything i'm saying just seems seems totally silly and everyone…proper use

  6. …been consistent on this over the years is you know there are these terms in the ai world agi and superintelligence like you'll hear leaders of companies say we've achieved agi we're moving on to superintelligence…proper use

  7. …over the years is you know there are these terms in the ai world like agi and superintelligence you'll hear leaders of companies say we've achieved agi we're moving on to superintelligence or like it's really…filler · filler

  8. …and superintelligence like you'll hear leaders of companies say we've achieved agi we're moving on to superintelligence or it's really exciting that someone stopped working on agi and started working on superintelligence so i think these…filler · filler

  9. …are totally meaningless i don't know what agi is i don't know what superintelligence is it it sounds a it sounds like a marketing term it is marketing yeah it's it sounds like you know something…proper use

  10. …don't know what agi is i don't know what superintelligence is it it sounds like a it sounds a marketing term it is marketing yeah it's it sounds like you know something something designed to activate…proper use

  11. …it it sounds like a it sounds like a marketing term it is marketing yeah it's it sounds you know something something designed to activate people's people's dopamine so you'll see in public i never use…proper use

  12. …seen more progress on say math and code where the models are you know getting pretty close to a high professional level and less on more subjective tasks but i think that is very much a…hedge · filler

  13. …i see this exponential and i say look people aren't very good at making sense of exponentials right you know if if something is doubling every six months then uh you know two years before it…filler · filler

  14. …if something is doubling every six months then uh you know two years before it happens it looks it's only one sixteenth of the way there and and so we are sitting here in the middle…proper use

  15. …two years i'm not saying it will but suppose it continued for two years you know you're you're well into the hundred billions i'm not saying that'll happen i'm saying the situation is that when you're…hedge · filler

  16. …by it two years away from when the exponential goes totally crazy it it you know it looks it's just starting to be a thing um and so that's the fundamental dynamic you know we saw…proper use

  17. …with the internet in the we saw that with the internet in the 90s right where it was you know networking speeds and the underlying speed of the computers were getting fast and over a few…filler · filler

  18. …would happen and so that's that's where i'm coming from that's what i think now i don't know if a bunch of satellites crashed maybe the internet would have taken longer if there was an economic…filler · filler

  19. …can look at you know sweebench growing from uh you know i think 18 months ago was at 3 or something um growing all the way to you know 72 to 80 depending on how you…hedge · filler

  20. …be very high right if i think of the field i used to be in biology and medicine you know let's say i had a very smart nobel prize winner and you know i i said…filler · filler

  21. …things you have this incredibly smart mind but you know you can't you can't you know you can't read new textbooks or absorb any new information i mean that would be difficult but like still if…filler · filler

  22. …you can't like read new textbooks or absorb any new information i mean that would be difficult but still if you had like 10 million of those like they're they're still gonna make a lot of…filler · filler

  23. …textbooks or absorb any new information i mean that would be difficult but like still if you had 10 million of those like they're they're still gonna make a lot of biology breakthroughs like they're gonna…hedge · filler

  24. …information i mean that would be difficult but like still if you had like 10 million of those they're they're still gonna make a lot of biology breakthroughs like they're gonna be limited they're gonna be…filler · filler

  25. …you had like 10 million of those like they're they're still gonna make a lot of biology breakthroughs they're gonna be limited they're gonna be able to do some things humans can't and there are some…filler · filler

  26. …can do that they can't but but but even that even if we impose that as a ceiling man that's pretty damned impressive and transformative and even if i said you never solved that like i…filler · filler

  27. …ceiling like man that's pretty damned impressive and transformative and even if i said you never solved that i think you know i think people are underestimating the impact but but look context windows are getting…filler · filler

  28. …conversation it absorbs information the underlying weights of the model may not change but but you know just i'm talking to you here and we're having a conversation and i listen to the things you say…proper use

  29. …listen to the things you say and i i you know i think and i and and i respond to them the models are able to do that and and from a from an from a…filler · filler

  30. …the gaps but it fills in many of the gaps and then there are a number of things learning and memory that do allow us to update the weights so you know there there are there…proper use

  31. …we used to many years ago talk about inner loops and outer loops right the inner loop is i have some episode and i learned some things in that episode and i'm trying to optimize for…filler · filler

  32. …is a way to learn the continual learning one thing we've learned in ai is whenever it feels there's some fundamental obstacle like two years ago we thought there was this fundamental obstacle around uh around…proper use

  33. …the continual learning one thing we've learned in ai is whenever it feels like there's some fundamental obstacle two years ago we thought there was this fundamental obstacle around uh around reasoning turned out just to…proper use

  34. …code and we you know we don't really talk externally that much about why why claude is so i said we don't talk externally about it i have to ask so you know every new version…filler · filler

  35. …know model that we build and you know that's why we you know i've said these things about you know we're trying to optimize for like talent density as much as possible like you need that…filler · filler

  36. …that's why we you know i've said these things about like you know we're trying to optimize for talent density as much as possible like you need that talent density in order i think at this…filler · filler

  37. …these things about like you know we're trying to optimize for like talent density as much as possible you need that talent density in order i think at this point uh a little short of 20…filler · filler

  38. …and so we've been in a position you know three years ago where you know these differences were a thousand x and now you're saying you know with 20 billion dollars can you compete can can…hedge · filler

  39. …45 so that that 10x a year i mean you know every every you know every year i suspect that we'll grow at that scale and and every year i'm almost afraid to say it publicly…filler · filler

  40. …we'll grow at that scale and and every year i'm almost afraid to say it publicly because i'm no it couldn't it couldn't possibly happen again so you know i think i think the growth at…quotative · filler

  41. …couldn't it couldn't possibly happen again so you know i think i think the growth at that scale kind of speaks for itself in terms of our ability to compete with the accurate um i won't…filler · filler

  42. …i don't know one percent of consumers care about that at all right 99 are just gonna be i don't understand it either way um but now suppose i go to pfizer and i say you…quotative · filler

  43. …go to pfizer and i say you know i've improved this from undergrad at biochemistry to granite biochemistry this is gonna be the biggest deal in the world right they might pay 10 times more for…filler · filler

  44. …is gonna be the biggest deal in the world right they might pay 10 times more for something that it might have 10 times more value to them and so the general aim of making the…proper use

  45. …also able to s to bring many of the positive applications right the things i wrote about in machines of loving grace of like solving the problems of biomedicine solving the problems of geopolitics solving the…filler · filler

  46. …many of the positive applications right the things i wrote about in like machines of loving grace of solving the problems of biomedicine solving the problems of geopolitics solving the problems of you know of economic…filler · filler

  47. …solving the problems of you know of economic development um you know as well as more prosaic things finance or legal or productivity or insurance um i think it gives a better incentive to kind of…proper use

  48. …as far as uh as as as as far as possible and i think in many ways it's it may even be a more a more a more positive business so i would say we're making…filler · filler

  49. …started getting quick adoption this was around the time that you know a lot of the coding companies cursor windsurf github augment code started started exploding in in popularity and then when we saw how popular…proper use

  50. …of this uh as of the time of this interview we've adjusted that particularly on the larger models opus i think it's no longer possible to spend that much with a with a with a 200…proper use

  51. …those who make the the the um the the the underlying applications so again without being too specific i think there are some assumptions in your question that are not necessarily correct um uh you know…filler · filler

  52. …than smaller models um i think the technique you're referring to is maybe mixture of experts or something that so whether your models are mixture of experts or not like mixture of experts is is like…proper use

  53. …maybe mixture of experts or something like that so whether your models are mixture of experts or not mixture of experts is is like a way to run models more cheaply that have a given number…filler · filler

  54. …like that so whether your models are mixture of experts or not like mixture of experts is is a way to run models more cheaply that have a given number of parameters it's a way to…filler · filler

  55. …the i think that's yeah look so i um you know in in in in in terms of the cost of the models like one thing you'd be surprised by people you know people kind of…filler · filler

  56. …so i um you know in in in in in terms of like the cost of the models one thing you'd be surprised by people you know people kind of impute this thing to like oh…filler · filler

  57. …models like one thing you'd be surprised by people you know people kind of impute this thing to oh man it's gonna be really hard to get the margins from like x percent to y percent…filler · filler

  58. …of impute this thing to like oh man it's gonna be really hard to get the margins from x percent to y percent we make improvements all the time that make the models like 50 more…filler · filler

  59. …margins from like x percent to y percent we make improvements all the time that make the models 50 more efficient than they are before we are just at the beginning of optimizing inference um uh…hedge · filler

  60. …is actually already fairly profitable there are separate things there's you know the cost of paying people and buildings that is actually not that that large in the scheme of things the big cost is the…filler · filler

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