WEBVTT 00:00:08.080 --> 00:00:11.357 Thanks for having me. >> Great to have you, Sam. 00:00:11.440 --> 00:00:12.717 >> It's interesting because people have 00:00:12.800 --> 00:00:15.277 been talking about the potential 00:00:15.360 --> 00:00:18.557 downsides uh or serious risks of AI for 00:00:18.640 --> 00:00:22.557 some time. And I think a lot of people have been saying why is this the moment 00:00:22.640 --> 00:00:25.517 where it sort of escaped the bubble and 00:00:25.600 --> 00:00:27.757 is now all of a sudden an international 00:00:27.840 --> 00:00:32.317 topic of such uh intensity and I think a 00:00:32.400 --> 00:00:35.117 few things have happened. One the models 00:00:35.200 --> 00:00:40.397 have gotten so good and people for a long time looked at the models 00:00:40.480 --> 00:00:43.517 maybe they looked at the rate of progress but I don't think people really 00:00:43.600 --> 00:00:47.597 felt that the models were going to come this far this fast. 00:00:47.680 --> 00:00:50.077 We will get it right. By the way, I am 00:00:50.160 --> 00:00:53.117 very confident in our I think the 00:00:53.200 --> 00:00:57.117 biggest thing that has changed is this thing that our industry has been talking 00:00:57.200 --> 00:01:01.277 about for a while, which is no no this technology, this approach is going to go 00:01:01.360 --> 00:01:03.837 very far. These models are in some ways 00:01:03.920 --> 00:01:08.717 going to become more capable, smarter than people. Um that finally happened. 00:01:08.800 --> 00:01:12.397 So I think that was a big change to why now when people say you know my 00:01:12.480 --> 00:01:16.877 probability of doom is x or y or whatever it hits in a different way 00:01:16.960 --> 00:01:20.957 technology to do somebody else wants to build like a hacking bot okay um the 00:01:21.040 --> 00:01:22.077 world can decide what they think about 00:01:22.160 --> 00:01:27.837 that but I think you also see um 00:01:27.920 --> 00:01:30.157 a real fear that some of these companies 00:01:30.240 --> 00:01:32.157 or some companies developing AI could 00:01:32.240 --> 00:01:34.957 get too much power and be able to sort 00:01:35.040 --> 00:01:37.677 of exert undue influence uh on the 00:01:37.760 --> 00:01:39.997 economy push worldview out on people. 00:01:40.080 --> 00:01:43.837 Uh, and I think the world is right to be afraid of this. So, we have these two 00:01:43.920 --> 00:01:47.997 big challenges. We have the potential of a loss of control accident or some other 00:01:48.080 --> 00:01:52.237 serious thing that could go wrong. Um, we have the potential of way too much 00:01:52.320 --> 00:01:54.957 power concentration and people fear that 00:01:55.040 --> 00:01:57.197 those developing AI could exert their 00:01:57.280 --> 00:01:59.677 worldview. Um and there is a sort of 00:01:59.760 --> 00:02:02.557 narrow path we have to navigate 00:02:02.640 --> 00:02:06.157 with pragmatism with 00:02:06.240 --> 00:02:08.717 you know steadiness with the ability for 00:02:08.800 --> 00:02:10.877 the the world to like trust that we will 00:02:10.960 --> 00:02:16.237 make dependable decisions consistent decisions uh through this and I think 00:02:16.320 --> 00:02:20.157 people are saying well you know this now seems pretty important like let's let's 00:02:20.240 --> 00:02:23.757 get it right I'm not going to get the days of the 00:02:23.840 --> 00:02:27.357 week exactly right here but something on like a Friday or a Saturday these models 00:02:27.440 --> 00:02:30.557 have gotten so good so fast that we need 00:02:30.640 --> 00:02:34.877 to treat the alignment and monitoring and security with a new level of rigor. 00:02:34.960 --> 00:02:37.517 And we have to be willing to pace our 00:02:37.600 --> 00:02:39.597 development of capabilities such that 00:02:39.680 --> 00:02:44.717 capabilities always such that alignment, safety and 00:02:44.800 --> 00:02:48.797 monitoring are always ahead of capabilities and the hugging face 00:02:48.880 --> 00:02:52.157 incident triggered a real reset not just in our own company but I think the whole 00:02:52.240 --> 00:02:54.877 industry. >> You know we're in the cyber area today 00:02:54.960 --> 00:02:56.957 but maybe we move into another area. Is 00:02:57.040 --> 00:03:01.997 this a fair way to characterization or am I or is this unfair to characterize 00:03:02.080 --> 00:03:04.717 it like this? >> What I really care about is that we have 00:03:04.800 --> 00:03:09.037 got a great culture of accident reporting and learning. I think if we 00:03:09.120 --> 00:03:12.957 look at what happens with the FAA and the NTSB and how safe airplanes have 00:03:13.040 --> 00:03:16.157 gotten. Um, as I understand it from talking to people who have really 00:03:16.240 --> 00:03:19.837 studied, you know, new kinds of technology on the order of magnitude of 00:03:19.920 --> 00:03:21.677 airplanes, one of the things that has 00:03:21.760 --> 00:03:25.677 gone so well there is is the culture of 00:03:25.760 --> 00:03:28.877 accident reporting. You know, accidents are going to happen. We're going to 00:03:28.960 --> 00:03:30.877 learn as much as we can and react from 00:03:30.960 --> 00:03:35.117 each one. Um, and if you know there's 00:03:35.200 --> 00:03:38.717 other kinds of technology where I don't think it's gone, 00:03:38.800 --> 00:03:42.157 I don't think society's had the same response and I don't think we have 00:03:42.240 --> 00:03:46.637 improved as much to pull this thing together and present you with the 00:03:46.720 --> 00:03:48.957 information to make a decision or to bl. 00:03:49.040 --> 00:03:52.237 I think this is one of the most profound 00:03:52.320 --> 00:03:57.357 changes to how we use technology that I've ever seen. I mean, sci-fi movies, 00:03:57.440 --> 00:04:00.637 as you mentioned, have been hinting at this or playing around with this for a 00:04:00.720 --> 00:04:03.757 long time, but this is one of those moments where it feels like you're in 00:04:03.840 --> 00:04:08.077 the movie. Like, the sci-fi thing came true. You're talking to your personal 00:04:08.160 --> 00:04:12.157 super assistant and you are working 10 times faster or better or more 00:04:12.240 --> 00:04:14.397 creatively than you could have before. 00:04:14.480 --> 00:04:17.677 >> Sam, you're invited back anytime you want to Dream Force. 00:04:17.760 --> 00:04:19.117 >> Hold on. I'm going to hold you back. 00:04:19.200 --> 00:04:22.157 Thank you. >> Show me what the future was and it's 00:04:22.240 --> 00:04:25.597 been an incredible experience. show it 00:04:25.680 --> 00:04:28.157 to you for the first time. The customer 00:04:28.240 --> 00:04:30.397 at the end of it said for the first 00:04:30.480 --> 00:04:33.597 time, for the first time they saw that 00:04:33.680 --> 00:04:37.757 trop value. Now I want to just tell you 00:04:37.840 --> 00:04:41.437 we are here to do many things with you. 00:04:41.520 --> 00:04:44.477 Now as you know we are here to excite 00:04:44.560 --> 00:04:49.117 you coming to San Francisco and thank you for coming to this incredible dream 00:04:49.200 --> 00:04:52.317 force. >> We are going to have an amazing day. 00:04:52.400 --> 00:04:55.357 We're going to have an amazing conference. 00:04:55.440 --> 00:04:57.437 And let me just tell you this, we have 00:04:57.520 --> 00:05:00.477 never been more excited about a Dream 00:05:00.560 --> 00:05:07.480 Force in our history. This is going to be absolutely incredible. 00:05:07.850 --> 00:05:09.870 [applause] 00:05:11.440 --> 00:05:16.157 And here we have the CEO of Enthropic right here, Daario. Hello, Dario. How 00:05:16.240 --> 00:05:21.037 are you? >> Hey, >> great to have you. Fantastic. [applause] 00:05:21.120 --> 00:05:25.517 Great job, Daario. you're doing an amazing job leading the AI industry, 00:05:25.600 --> 00:05:28.797 guiding it all right from our Slack headquarters building. We watch you 00:05:28.880 --> 00:05:32.717 every day. Is to say, hey, first of all, let's look let's look at our own record, 00:05:32.800 --> 00:05:36.157 right? We may not have had this big high-profile incident, but I'm sure 00:05:36.240 --> 00:05:39.277 we're not perfect. Let's look at everything and we can always be better. 00:05:39.360 --> 00:05:41.357 Let's make our practices better. Um, 00:05:41.440 --> 00:05:43.757 let's recommmit transparency. Let's 00:05:43.840 --> 00:05:48.477 invest more in safety. Then let's organize the rest of the industry and 00:05:48.560 --> 00:05:52.077 say, what can we do to set standards for everyone? what can we do to make 00:05:52.160 --> 00:05:55.517 everyone's standards better? And then finally, there should be an 00:05:55.600 --> 00:05:59.597 international component to it. And and that's essentially the the three-step 00:05:59.680 --> 00:06:03.517 plan that I laid out that I laid out in the essay. The the first of which we 00:06:03.600 --> 00:06:07.757 committed to and the the others of which we're going to have a dialogue with the 00:06:07.840 --> 00:06:09.757 rest of the industry about. And I think 00:06:09.840 --> 00:06:11.517 I think that's the way to lead the 00:06:11.600 --> 00:06:14.877 industry forward to set an example to 00:06:14.960 --> 00:06:18.797 say that everyone can always be better. 00:06:18.880 --> 00:06:21.357 you know it's it's been the pace of the 00:06:21.440 --> 00:06:24.157 progress not just of the technology but 00:06:24.240 --> 00:06:27.757 of the economic side of it. So we you 00:06:27.840 --> 00:06:32.077 know I formulated the scaling laws along with some of my co-founders which tell 00:06:32.160 --> 00:06:35.517 you that AI models get smarter and smarter the more compute you throw into 00:06:35.600 --> 00:06:38.317 them. And so we had a prediction of just 00:06:38.400 --> 00:06:42.637 how capable these models would be. But I think what we didn't appreciate is that 00:06:42.720 --> 00:06:46.797 it would lead to these companies growing so fast to all these incredible, you 00:06:46.880 --> 00:06:49.837 know, products that we're working together on and you've been talking 00:06:49.920 --> 00:06:54.077 about today and and how quickly they would become central to everything 00:06:54.160 --> 00:06:55.917 that's going on in the world, right? 00:06:56.000 --> 00:07:00.317 >> Say, you know, yes, we're have to keep our eye on the pace of AI. You know, 00:07:00.400 --> 00:07:03.437 it's been amazing what's happened over 10 years. No one could have written the 00:07:03.520 --> 00:07:05.437 story. 00:07:05.520 --> 00:07:08.397 When I look at the technology versus how 00:07:08.480 --> 00:07:13.277 much it has diffused, even if we freeze the technology in place, which we're not 00:07:13.360 --> 00:07:16.957 doing, pacing the frontier is not not doing that at all. The technology will 00:07:17.040 --> 00:07:19.037 keep getting better. But just suppose we 00:07:19.120 --> 00:07:21.517 freezed it in place. Even if that were 00:07:21.600 --> 00:07:24.877 the case, we're making use of maybe only 00:07:24.960 --> 00:07:29.757 five or 10% of what the possible value of the technology is. 00:07:29.840 --> 00:07:31.117 >> Congratulations. Well done. 00:07:31.200 --> 00:07:33.837 >> We're going to do incredible things together. You're doing a great job. 00:07:33.920 --> 00:07:36.877 Thanks for everything you're doing for the whole industry. We're so grateful to you. 00:07:36.960 --> 00:07:39.677 >> Thank you for having me. >> Really thrilled. Thank you so much. 00:07:39.760 --> 00:07:42.157 >> All right. >> And thank you for coming to Dreamforce. 00:07:42.240 --> 00:07:44.317 >> Please thank the anthropic team. 00:07:44.400 --> 00:07:46.420 [applause] 00:07:48.080 --> 00:07:54.280 >> Jensen. >> WOOHOO. [cheering] [applause] 00:07:54.720 --> 00:07:57.517 >> Great to have you, Jensen. Thank you for being here. 00:07:57.600 --> 00:08:02.157 >> We all have to learn how to walk and talk at the same time. 00:08:02.240 --> 00:08:05.837 How are you guys doing this >> on our board who I think was at Nvidia 00:08:05.920 --> 00:08:09.597 for a while as well. >> That's right. Love David Kirk. 00:08:09.680 --> 00:08:14.397 >> And now give us your vision of the future. You know, where are we going? 00:08:14.480 --> 00:08:15.997 Because of course you've got these 00:08:16.080 --> 00:08:18.637 critical components. You've got well 00:08:18.720 --> 00:08:21.677 safety is paramount in a lot of ways. 00:08:21.760 --> 00:08:26.397 It's job one. However, safety is an engineering problem. We're developing 00:08:26.480 --> 00:08:29.437 software after all. We're developing computing systems after all. It's 00:08:29.520 --> 00:08:33.437 complicated computing system but it's ultimately a computing system and so so 00:08:33.520 --> 00:08:35.517 the first thing is to make sure that we 00:08:35.600 --> 00:08:39.437 create the test environments for testing 00:08:39.520 --> 00:08:43.437 these complex systems and those test environments have to be built in a good 00:08:43.520 --> 00:08:46.637 way built in a safe way and then the second thing is we have to test these 00:08:46.720 --> 00:08:50.317 products if we're if we're not confident 00:08:50.400 --> 00:08:52.477 about the safety of the products like 00:08:52.560 --> 00:08:57.437 all companies like you and I any any com all the companies here if you build a 00:08:57.520 --> 00:09:01.197 product or a service and you're confident in its 00:09:01.280 --> 00:09:03.677 functionality, capability, or safety, 00:09:03.760 --> 00:09:05.917 then don't release it. And so, that's a 00:09:06.000 --> 00:09:11.277 very obvious thing to do. You pace yourself until you are confident you're 00:09:11.360 --> 00:09:14.957 releasing something that the market would appreciate. The market forces are 00:09:15.040 --> 00:09:16.557 already there. We don't need any new 00:09:16.640 --> 00:09:19.197 laws. We don't need new regulations. Um, 00:09:19.280 --> 00:09:22.237 we just need uh companies to decide that 00:09:22.320 --> 00:09:24.877 when it's, you know, run as fast as they 00:09:24.960 --> 00:09:28.717 can. I think innovation speed and safe 00:09:28.800 --> 00:09:31.677 products are not it's a false choice. 00:09:31.760 --> 00:09:35.517 You could definitely have both at the same time. So run as fast as you can, 00:09:35.600 --> 00:09:39.757 but if you feel at any given point in time the company's out of control or or 00:09:39.840 --> 00:09:43.197 the product's not going to be safe, you know, take a pause and make sure you get 00:09:43.280 --> 00:09:47.437 it righties and transform them. The technology can partner with them to do 00:09:47.520 --> 00:09:51.197 this in incredible new ways. That is what I'm really Jensen. We could not be 00:09:51.280 --> 00:09:55.677 more grateful to you for coming to Dreamforce being >> being a part of this. 00:09:55.760 --> 00:09:57.997 >> Thank you. >> We are so Please thank Jensen Wall. 00:09:58.080 --> 00:10:01.997 >> Thank you. Thank [cheering] you. Thank you. Thank you. [applause] Thank you, 00:10:02.080 --> 00:10:05.517 Mark. >> Thank you, Jensen. 00:10:05.600 --> 00:10:09.197 >> Dario and pacing and all the rest of it, but I think my colleagues will handle 00:10:09.280 --> 00:10:13.677 that one. So since then you've done a great deal to bang the lid on the coffin 00:10:13.760 --> 00:10:15.437 of um sus the suspocalypse 00:10:15.520 --> 00:10:18.797 >> the ones which are still in the PC phase 00:10:18.880 --> 00:10:21.197 number one and number two. 00:10:21.280 --> 00:10:22.957 >> Yeah I thought it was super interesting 00:10:23.040 --> 00:10:26.237 obviously we have architected the uh uh 00:10:26.320 --> 00:10:29.677 keynote before this week as you know and 00:10:29.760 --> 00:10:33.037 so we definitely had Daario and Jensen. 00:10:33.120 --> 00:10:35.197 I think that we heard both sides of the 00:10:35.280 --> 00:10:38.557 pendulum. You know, in my view, 00:10:38.640 --> 00:10:40.957 technology is never good or bad. It's 00:10:41.040 --> 00:10:43.197 what you're doing with the technology 00:10:43.280 --> 00:10:45.917 that matters. And I think that that 00:10:46.000 --> 00:10:49.837 remains the key thing. And um you know, 00:10:49.920 --> 00:10:53.677 I think that these companies obviously have to be responsible for what they're 00:10:53.760 --> 00:10:57.437 building. That is going to be the the key to it being them being ethical 00:10:57.520 --> 00:10:59.037 companies. 00:10:59.120 --> 00:11:01.837 Committed to that. We've now given more 00:11:01.920 --> 00:11:04.717 than $130 million to this. I know it's 00:11:04.800 --> 00:11:07.597 unusual for a, you know, company to have 00:11:07.680 --> 00:11:12.477 that exposure. I think that, you know, you're going to find different opinions 00:11:12.560 --> 00:11:17.037 right now. We're in a very fluid moment in AI. And I think that as we kind of 00:11:17.120 --> 00:11:21.277 start to get our head around what are the capability of the models, who can do 00:11:21.360 --> 00:11:22.877 what and also obviously there's 00:11:22.960 --> 00:11:25.437 political orientations for everybody's 00:11:25.520 --> 00:11:29.117 where everybody is. So, um I think that 00:11:29.200 --> 00:11:31.597 we already have regulations around the 00:11:31.680 --> 00:11:33.997 models, right? We have laws and I think 00:11:34.080 --> 00:11:37.677 that companies have to be um you know uh 00:11:37.760 --> 00:11:39.677 adherent to those laws and regulations. 00:11:39.760 --> 00:11:41.597 Will those laws and regulations continue 00:11:41.680 --> 00:11:43.597 to adapt and evolve and move forward? Of 00:11:43.680 --> 00:11:46.797 course. So that is I think just at the 00:11:46.880 --> 00:11:49.437 moment we are currently in the industry. 00:11:49.520 --> 00:11:54.157 We're in a highly evolutionary point and I think that these things will change 00:11:54.240 --> 00:11:58.797 you know as they're needed. >> It's really up to them. I I think we're 00:11:58.880 --> 00:12:01.517 doing all right with the investment and we couldn't be more thrilled to have you 00:12:01.600 --> 00:12:03.037 at Dream Force. Thank you everybody. 00:12:03.120 --> 00:12:06.440 Thank [applause] you everybody.