1 00:00:07,960 --> 00:00:11,117 Thanks for having me. >> Great to have you, Sam. 2 00:00:11,200 --> 00:00:14,117 >> It's interesting cuz peo- people have been talking about 3 00:00:14,200 --> 00:00:19,277 the potential downsides uh or serious risks of AI for some time. 4 00:00:19,360 --> 00:00:22,757 And I think a lot of people have been saying, "Why is this the moment where it 5 00:00:22,840 --> 00:00:27,797 sort of escaped the bubble and is now all of a sudden an international topic 6 00:00:27,880 --> 00:00:32,317 of such uh intensity?" And I I think a few things 7 00:00:32,400 --> 00:00:36,717 have happened. One, the models have gotten so good and 8 00:00:36,800 --> 00:00:40,077 people for a long time looked at the models. 9 00:00:40,160 --> 00:00:43,637 Maybe they looked at the rate of progress, but I don't think people really felt that 10 00:00:43,720 --> 00:00:47,437 the models were going to come this far this fast. 11 00:00:47,520 --> 00:00:49,757 We will get it right, by the way. I am 12 00:00:49,840 --> 00:00:55,357 very confident in our I think the biggest thing that has changed is 13 00:00:55,440 --> 00:00:58,997 this thing that our industry has been talking about for a while, which is no, 14 00:00:59,080 --> 00:01:02,717 no, this technology, this approach is going to go very far. These models are 15 00:01:02,800 --> 00:01:08,117 in some ways going to become more capable, smarter than people. Um that finally 16 00:01:08,200 --> 00:01:11,677 happened. So, I think that was a big change to why now when people say, you 17 00:01:11,760 --> 00:01:15,077 know, my probability of doom is X or Y or whatever, 18 00:01:15,160 --> 00:01:18,717 it hits in a different way. Technology to do. Somebody else wants to build like 19 00:01:18,800 --> 00:01:22,997 a hacking bot, okay. Um the world can decide what they think about that, but 20 00:01:23,080 --> 00:01:27,400 I think you also see um 21 00:01:27,720 --> 00:01:31,837 a real fear that some of these companies or some companies developing AI could 22 00:01:31,920 --> 00:01:34,597 get too much power and be able to sort 23 00:01:34,680 --> 00:01:37,237 of exert undue influence uh on the 24 00:01:37,320 --> 00:01:39,757 economy, push a worldview out on people. 25 00:01:39,840 --> 00:01:43,477 Uh and I think the world is right to be afraid of this. So, we have these two 26 00:01:43,560 --> 00:01:46,637 big challenges. We have the potential of a loss of control 27 00:01:46,720 --> 00:01:50,797 accident or some other serious thing that could go wrong. Um we have the 28 00:01:50,880 --> 00:01:54,877 potential of way too much power concentration and people fear that those 29 00:01:54,960 --> 00:01:58,597 developing AI could exert their worldview. Um 30 00:01:58,680 --> 00:02:02,277 and there is a sort of narrow path we have to navigate 31 00:02:02,360 --> 00:02:06,717 with pragmatism, with you know, 32 00:02:06,800 --> 00:02:10,637 steadiness, with the ability for the the world to like trust that we will make 33 00:02:10,720 --> 00:02:14,917 dependable decisions, consistent decisions uh through this. 34 00:02:15,000 --> 00:02:17,917 And I think people are saying, "Well, you know, this now seems pretty 35 00:02:18,000 --> 00:02:22,037 important. Like let's let's get it right." 36 00:02:22,120 --> 00:02:24,957 I'm not going to get the days of the week exactly right here, but something 37 00:02:25,040 --> 00:02:29,677 on like a Friday or a Saturday. These models have gotten so good so fast that 38 00:02:29,760 --> 00:02:33,837 we need to treat the alignment and monitoring and security with a new level 39 00:02:33,920 --> 00:02:36,597 of rigor. And we have to be willing to 40 00:02:36,680 --> 00:02:38,757 pace our development of capabilities 41 00:02:38,840 --> 00:02:44,397 such that capabilities always such that alignment, safety, and 42 00:02:44,480 --> 00:02:47,837 monitoring are always ahead of capabilities. And 43 00:02:47,920 --> 00:02:51,157 the Hugging Face incident triggered a real reset not just in our own company, 44 00:02:51,240 --> 00:02:52,877 but I think the whole industry. 45 00:02:52,960 --> 00:02:54,597 >> You know, we're in the cyber area today, 46 00:02:54,680 --> 00:02:56,597 but maybe we move into another area. Is 47 00:02:56,680 --> 00:03:01,757 this a fair way to characterization or am I or is this unfair to characterize 48 00:03:01,840 --> 00:03:04,277 it like this? >> What I really care about is that we have 49 00:03:04,360 --> 00:03:08,637 got a great culture of accident reporting and learning. I think if we 50 00:03:08,720 --> 00:03:12,517 look at what happens with the FAA and the NTSB and how safe airplanes have 51 00:03:12,600 --> 00:03:16,997 gotten, um as I understand it from talking to people who have really studied, 52 00:03:17,080 --> 00:03:20,677 you know, new kinds of technology on the order of magnitude of airplanes, one of 53 00:03:20,760 --> 00:03:24,477 the things that has gone so well there is 54 00:03:24,560 --> 00:03:26,277 is the culture of accident reporting. 55 00:03:26,360 --> 00:03:27,957 You know, accidents are going to happen. 56 00:03:28,040 --> 00:03:29,717 We're going to learn as much as we can 57 00:03:29,800 --> 00:03:35,277 and react from each one. Um and if, you know, there's other kinds 58 00:03:35,360 --> 00:03:39,717 of technology where I don't think it's gone I don't think society's had the same 59 00:03:39,800 --> 00:03:43,877 response and I don't think we have improved as much. 60 00:03:43,960 --> 00:03:47,037 to pull this thing together and present you with the information to make a 61 00:03:47,120 --> 00:03:48,677 decision or to bl- 62 00:03:48,760 --> 00:03:51,877 I think this is one of the most profound 63 00:03:51,960 --> 00:03:56,117 changes to how we use technology that I've ever seen. 64 00:03:56,200 --> 00:03:59,437 I mean, sci-fi movies, as you mentioned, have been hinting at this or playing 65 00:03:59,520 --> 00:04:02,717 around with this for a long time, but this is one of those moments where it 66 00:04:02,800 --> 00:04:05,997 feels like you're in the movie. Like the sci-fi thing came true. 67 00:04:06,080 --> 00:04:10,277 You're talking to your personal super assistant, and you are working 10 times 68 00:04:10,360 --> 00:04:14,117 faster or better or more creatively than you could have before. 69 00:04:14,200 --> 00:04:18,077 >> Sam, you're invited back anytime you want to Dreamforce. Hold on. I'm holding 70 00:04:18,160 --> 00:04:20,637 it there. Thank you. Thank you. 71 00:04:20,720 --> 00:04:23,920 >> Please thank Sam Altman.