WEBVTT NOTE Sentence-level transcript of https://www.youtube.com/watch?v=Fva8hFosqyQ NOTE One cue per sentence. Cue ids are the line anchors on /transcripts/Fva8hFosqyQ.html. A cue ends where the next begins, or 2 s after its last word. s1 00:00:07.839 --> 00:00:10.080 I need s2 00:00:13.100 --> 00:00:15.100 [music] s3 00:00:22.880 --> 00:00:31.440 I need I need baby I baby I s4 00:00:31.440 --> 00:00:31.519 [music] s5 00:00:31.519 --> 00:00:37.280 feel I feel s6 00:00:45.195 --> 00:00:47.195 [music] s7 00:00:58.295 --> 00:01:00.295 [music] s8 00:01:05.119 --> 00:01:08.560 In the beginning, there was the token. s9 00:01:10.240 --> 00:01:13.040 Then there was the chat. s10 00:01:13.840 --> 00:01:16.720 Then we learned to use tools. s11 00:01:17.600 --> 00:01:18.960 Then we learned to set goals. s12 00:01:18.960 --> 00:01:21.840 I'm skipping a few steps. s13 00:01:22.320 --> 00:01:24.640 And these days, we're all about automations. s14 00:01:24.640 --> 00:01:31.520 We're all about cron jobs and the loops and the rest of today on this live stream. s15 00:01:31.520 --> 00:01:38.640 Uh the uh those of you watching at home, uh we're going to be talking about software factories as well. s16 00:01:38.640 --> 00:01:41.280 So there's a lot of loop stacking. s17 00:01:41.280 --> 00:01:43.680 Uh I wrote this essay called Loopcraft. s18 00:01:43.680 --> 00:01:47.040 Uh I think Joel in the audience did a workshop on it yesterday. s19 00:01:47.040 --> 00:01:47.840 Can you still hear me? s20 00:01:47.840 --> 00:01:48.560 Are we good? s21 00:01:48.560 --> 00:01:51.280 Sorry, I I um had a mic slip. s22 00:01:51.280 --> 00:02:11.760 Um and I think this is something that is basically a core skill of AI engineer uh is defining what loops you're working in and figuring out whether that's the right level of extraction and when you're ready going up a loop in order to figure out the next level in productivity and scaling your inference s23 00:02:11.760 --> 00:02:21.840 and when you're finding issues going down a loop and going lower level in order to figure out reliability and fixing whatever bugs you you mind. s24 00:02:21.840 --> 00:02:27.840 If you want to simplify it, uh I have a I have a better analogy that will be less complicated. s25 00:02:27.840 --> 00:02:31.520 Uh it's literally just a stack of wild loops, right? s26 00:02:31.520 --> 00:02:35.760 I think all of you in in the audience and programmers will understand this. s27 00:02:35.760 --> 00:02:38.879 Uh and effectively, this is what we're here to do today. s28 00:02:38.879 --> 00:02:55.280 Um I expect our engineers, our leaders, our researchers, our founders um to all be understanding and recursing as a as a as a sort of human general intelligence all these loops that you guys are capable of of um going up and down. s29 00:02:55.280 --> 00:02:59.472 And that is why there's so much content. s30 00:02:59.472 --> 00:03:00.239 [laughter] s31 00:03:00.239 --> 00:03:05.920 Um I often tell people who who complain about uh the tracks, I'm not going to apologize for good content. s32 00:03:05.920 --> 00:03:13.040 uh it's up to you to decide and route yourself uh as to which level you currently working at and which level you're currently blocked on. s33 00:03:13.040 --> 00:03:24.800 Um so the thing that's occupying most of my time um recently and what I what I make the human analogy for is what is the human loop? s34 00:03:24.800 --> 00:03:33.120 Um and in the beginning there's the heartbeat when you when you're sort of in the womb you you sort of get that heartbeat that is the proof of life. s35 00:03:33.120 --> 00:03:36.560 Um then you learn to talk. s36 00:03:36.560 --> 00:03:39.120 Then we learn to use tools. s37 00:03:39.120 --> 00:03:40.319 Then we start to work. s38 00:03:40.319 --> 00:03:44.319 We eat, sleep, code, repeat or prompt. s39 00:03:44.319 --> 00:03:47.280 Um and then we start working in teams. s40 00:03:47.280 --> 00:03:49.680 We start working in small groups and families. s41 00:03:49.680 --> 00:03:56.640 We we've uh promoted the concept of tiny teams before and I think that is increasingly important with uh everybody. s42 00:03:56.640 --> 00:04:03.680 Um, and I think the interesting thing to think about is like the broader human projects as a whole. s43 00:04:03.680 --> 00:04:04.959 Like where are we all going? s44 00:04:04.959 --> 00:04:12.000 You know, extend out from your personal context, your family, your country, your company, whatever. s45 00:04:12.000 --> 00:04:17.840 Um, to the broader project of the human civilization and what we're building uh with collective intelligence. s46 00:04:17.840 --> 00:04:21.519 Uh, I think it's very interesting to uh consider that. s47 00:04:21.519 --> 00:04:25.520 So, um, I I think that's a little bit what I want to leave you with today. s48 00:04:25.520 --> 00:04:29.840 like the things that you're doing with coding are definitely crossing over to human life. s49 00:04:29.840 --> 00:04:39.680 Um the message of my last keynote at AI engineer was that the you know it's very much like agents that you see are working in one domain are definitely generalizing this year. s50 00:04:39.680 --> 00:04:52.080 Um this is the year that we are adding vertical tracks like you know AI in healthcare, AI in finance, AI in GTM uh we have a four deployed engineering track this uh today which I'm very excited about. s51 00:04:52.080 --> 00:04:58.479 Um all of this is meant to see how AI is just diffusing finally beyond coding. s52 00:04:58.479 --> 00:04:59.280 Okay. s53 00:04:59.280 --> 00:05:06.000 Um last world fair I gave you all an update on the stress curves uh of the of the organizers. s54 00:05:06.000 --> 00:05:11.919 Uh just to give you an idea this is um the first world uh first AI engineer in 2023. s55 00:05:11.919 --> 00:05:15.120 Uh this is sort of the the sales curves basically of like how people bought. s56 00:05:15.120 --> 00:05:17.039 Basically it was kind of linear. s57 00:05:17.039 --> 00:05:20.240 Then we had the first world fair 2024. s58 00:05:20.240 --> 00:05:22.479 uh about 2,000 people. s59 00:05:22.479 --> 00:05:30.080 2025 uh was uh I think I maybe skipped uh skipped a few lines, but we're we're basically at 6,000. s60 00:05:30.080 --> 00:05:34.160 Um and if you sort of calculate uh sorry, we we we we aimed for 6,000. s61 00:05:34.160 --> 00:05:37.120 We actually crossed and going went to 7,000 today. s62 00:05:37.120 --> 00:05:40.880 Um and uh basically I asked you all to buy your tickets earlier. s63 00:05:40.880 --> 00:05:42.320 You did not. s64 00:05:42.320 --> 00:05:47.600 Um uh if you measure the Jenny coefficient, uh it has gone up and not down. s65 00:05:47.600 --> 00:05:48.880 That's the wrong direction. s66 00:05:48.880 --> 00:05:49.773 Um so if you s67 00:05:49.773 --> 00:05:49.840 [laughter] s68 00:05:49.840 --> 00:05:56.639 all if you all can just gather uh you know your yourselves and um you know join us earlier I think that would be great. s69 00:05:56.639 --> 00:06:06.160 Anyway um why we want to work at a conference why we why I work on a conference why you all come to a conference is basically the concept of the highest loop. s70 00:06:06.160 --> 00:06:11.600 Um I I will submit to you that the highest loop of all is to uh if I can make this slide work. s71 00:06:11.600 --> 00:06:15.600 Oh my god I'm gonna refresh. s72 00:06:15.600 --> 00:06:16.800 Okay. s73 00:06:16.800 --> 00:06:22.400 um uh that the highest loop is where humans come together to figure out what the next loop is, right? s74 00:06:22.400 --> 00:06:24.000 The loop that makes loops. s75 00:06:24.000 --> 00:06:27.360 Um so we organize a engineer summits all around the world. s76 00:06:27.360 --> 00:06:32.400 Uh this year we have summits in New York, summits in Paris, summits in Singapore. s77 00:06:32.400 --> 00:06:38.400 Um and you know again Melbourne and I'm forgetting one already Miami. s78 00:06:38.400 --> 00:06:41.440 Um and uh we organized this as a partners. s79 00:06:41.440 --> 00:06:43.680 We want you to organize it at in your home countries. s80 00:06:43.680 --> 00:06:51.360 We're we're hiring a partnerships team uh to do this and this is the highest loop of all which is the world's fair which is the summit of summits. s81 00:06:51.360 --> 00:06:53.759 So you're I'm very excited to welcome all of you today. s82 00:06:53.759 --> 00:07:02.080 Um I hope that you figure out your generative process for generating loops and propagate it down to your teams to your personal workflows to your lives. s83 00:07:02.080 --> 00:07:05.280 Thank you very much and enjoy the show.