1 00:00:03,120 --> 00:00:08,720 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,600 --> 00:00:12,360 Speaker 2: The last week of August isn't exactly known as a 3 00:00:12,400 --> 00:00:17,040 Speaker 2: busy time of year unless you work in California's legislature. 4 00:00:17,480 --> 00:00:21,239 Speaker 3: I'm Senator Scott Wiener, and I am calling in from 5 00:00:21,520 --> 00:00:23,360 Speaker 3: the state capitol in California. 6 00:00:23,480 --> 00:00:26,239 Speaker 2: When we talked recently, Senator Wiener told me he was 7 00:00:26,320 --> 00:00:29,400 Speaker 2: running from vote to vote on everything from regulating hedge 8 00:00:29,440 --> 00:00:34,200 Speaker 2: funds to allowing outdoor cannabis sales, very California stuff. 9 00:00:34,600 --> 00:00:37,240 Speaker 3: We are in our last week of our legislative session, 10 00:00:37,320 --> 00:00:41,800 Speaker 3: so every day is marathon voting. We've already voted on 11 00:00:41,840 --> 00:00:45,000 Speaker 3: a few hundred bills and we have one hundreds more 12 00:00:45,000 --> 00:00:47,080 Speaker 3: before our session ends on Saturday. 13 00:00:47,600 --> 00:00:50,080 Speaker 2: But I wanted to speak to Senator Wiener about one 14 00:00:50,320 --> 00:00:53,040 Speaker 2: very specific bill that was being voted on that day. 15 00:00:53,760 --> 00:00:57,040 Speaker 2: It was one he introduced back in February called SB 16 00:00:57,160 --> 00:01:01,160 Speaker 2: ten forty seven, the Safe and Secure Innovation for Frontier 17 00:01:01,280 --> 00:01:05,640 Speaker 2: Artificial Intelligence Models Act. The bill would hold AI companies 18 00:01:05,680 --> 00:01:09,720 Speaker 2: to new safety standards and hold them legally liable if 19 00:01:09,760 --> 00:01:13,680 Speaker 2: their tools end up causing catastrophic harm. The bill would 20 00:01:13,760 --> 00:01:16,720 Speaker 2: only apply to the biggest AI players, the ones that 21 00:01:16,760 --> 00:01:19,600 Speaker 2: are spending upwards of one hundred million dollars on training 22 00:01:19,600 --> 00:01:23,680 Speaker 2: their AI models or spending ten million dollars fine tuning them. 23 00:01:24,120 --> 00:01:27,399 Speaker 3: We have an obligation in California, as the tech leader 24 00:01:27,880 --> 00:01:32,039 Speaker 3: on the planet, to make good, forward looking, pro innovation, 25 00:01:32,360 --> 00:01:34,280 Speaker 3: pro safety tech policy. 26 00:01:34,840 --> 00:01:37,720 Speaker 2: Now. Senator Wiener has never been one to shy away 27 00:01:37,760 --> 00:01:41,800 Speaker 2: from controversial policy moves. A Democrat, he's been one of 28 00:01:41,840 --> 00:01:45,160 Speaker 2: the biggest champions of zoning reform in the state. But 29 00:01:45,280 --> 00:01:48,520 Speaker 2: introducing this bill in the place where chat, GPT and 30 00:01:48,600 --> 00:01:52,560 Speaker 2: Claude were first unleashed and where OpenAI and anthropic are 31 00:01:52,640 --> 00:01:56,800 Speaker 2: racing towards superintelligence hasn't exactly been popular. 32 00:01:57,320 --> 00:02:00,360 Speaker 3: I knew that there would be significant pushback just because 33 00:02:00,400 --> 00:02:03,080 Speaker 3: of the nature of this subject, and I knew it 34 00:02:03,080 --> 00:02:05,440 Speaker 3: would be forceable, but it was even more than I 35 00:02:05,720 --> 00:02:06,640 Speaker 3: thought that it would be. 36 00:02:07,200 --> 00:02:11,720 Speaker 2: Open AI opposes the bill, so does Nancy Pelosi and 37 00:02:11,720 --> 00:02:15,960 Speaker 2: Andresen Horowitz. But Weiener believes that even with that pushback, 38 00:02:16,360 --> 00:02:19,480 Speaker 2: no state is better positioned to be forward looking in 39 00:02:19,520 --> 00:02:20,240 Speaker 2: this realm. 40 00:02:20,480 --> 00:02:25,000 Speaker 3: California has led on tech policy, on climate policy, on 41 00:02:25,760 --> 00:02:29,320 Speaker 3: so many issues where we are ahead of Congress and 42 00:02:29,360 --> 00:02:31,799 Speaker 3: we set the trend, and we should do that here 43 00:02:31,840 --> 00:02:32,639 Speaker 3: as well. 44 00:02:37,480 --> 00:02:40,000 Speaker 2: Today on the show. The debate over the bill to 45 00:02:40,200 --> 00:02:43,480 Speaker 2: curb AI harms has become a lightning rod for the 46 00:02:43,520 --> 00:02:47,119 Speaker 2: tech community. Could it be the future of tech regulation 47 00:02:47,919 --> 00:02:51,480 Speaker 2: or a cautionary tale? This is the big take from 48 00:02:51,520 --> 00:02:59,760 Speaker 2: Bloomberg News. I'm Sarah Holder. The idea for SB ten 49 00:02:59,800 --> 00:03:03,240 Speaker 2: forty seven came to California State Senator Scott Wiener about 50 00:03:03,240 --> 00:03:05,440 Speaker 2: a year and a half ago. That's when he was 51 00:03:05,480 --> 00:03:08,000 Speaker 2: approached by a group of experts who wanted him to 52 00:03:08,040 --> 00:03:09,800 Speaker 2: take on AI regulation. 53 00:03:10,480 --> 00:03:13,720 Speaker 3: Sometimes in the early part of twenty twenty three, some 54 00:03:14,200 --> 00:03:20,239 Speaker 3: AI technologists came to me and expressed that we're overdue 55 00:03:20,280 --> 00:03:24,760 Speaker 3: for a conversation about AI safety. As we have all 56 00:03:24,800 --> 00:03:28,919 Speaker 3: this amazing, brilliant innovation, how do we make sure that 57 00:03:29,040 --> 00:03:32,760 Speaker 3: as AI scales, that it happens in a responsible way, 58 00:03:33,360 --> 00:03:36,680 Speaker 3: because we have a history of not getting out in 59 00:03:36,720 --> 00:03:41,120 Speaker 3: front of the risks posed by technology and just letting 60 00:03:41,120 --> 00:03:44,480 Speaker 3: things happen and then having to clean up the mess later. 61 00:03:45,160 --> 00:03:47,600 Speaker 2: Now, there are a lot of AI bills floating around 62 00:03:47,680 --> 00:03:52,240 Speaker 2: in California. In fact, during that August session, legislators passed 63 00:03:52,280 --> 00:03:56,000 Speaker 2: another bill on deep fakes, but SB ten forty seven 64 00:03:56,160 --> 00:03:59,760 Speaker 2: focuses on a whole different universe of potential AI harms, 65 00:04:00,440 --> 00:04:05,520 Speaker 2: catastrophic ones think property damage over five hundred million dollars 66 00:04:05,960 --> 00:04:09,320 Speaker 2: or a massive loss of human life. And Wiener says 67 00:04:09,320 --> 00:04:12,800 Speaker 2: he chose to focus on this particular aspect for a reason. 68 00:04:13,840 --> 00:04:17,200 Speaker 3: In the debate on SB ten forty seven, there's a 69 00:04:17,200 --> 00:04:20,480 Speaker 3: lot of what about ism? So what about deep fakes? 70 00:04:20,480 --> 00:04:24,960 Speaker 3: And what about algorithmic discrimination? What about misinformation? Why are 71 00:04:24,960 --> 00:04:28,200 Speaker 3: you focusing on the risk of catastrophic harm? And my 72 00:04:28,279 --> 00:04:31,080 Speaker 3: answer is, well, we need to adjust all of these issues. 73 00:04:31,480 --> 00:04:35,000 Speaker 3: But in addition to those potential harms, we know that 74 00:04:35,040 --> 00:04:39,640 Speaker 3: there is a risk of larger harms, for example, shutting 75 00:04:39,680 --> 00:04:43,080 Speaker 3: down the grid, melting down the banking system and making 76 00:04:43,120 --> 00:04:46,960 Speaker 3: it easier, or facilitating the creation of a chemical, biological, 77 00:04:47,360 --> 00:04:53,280 Speaker 3: and nuclear weapon destroying critical infrastructure. These are all harms 78 00:04:53,480 --> 00:04:57,479 Speaker 3: that you don't have to have the best imagination on 79 00:04:57,520 --> 00:05:00,440 Speaker 3: the planet in order to visualize. 80 00:05:00,920 --> 00:05:04,680 Speaker 2: These are worst case scenarios, and Wiener has been criticized 81 00:05:04,760 --> 00:05:06,200 Speaker 2: for even imagining them. 82 00:05:06,680 --> 00:05:09,520 Speaker 3: Sometimes the opponents of the bill, they try to say 83 00:05:09,560 --> 00:05:11,839 Speaker 3: that anyone who focuses on AI safety must be a 84 00:05:11,880 --> 00:05:15,159 Speaker 3: crazy doomer, which is not true. 85 00:05:15,400 --> 00:05:17,280 Speaker 2: You don't consider yourself a crazy doomer. 86 00:05:17,440 --> 00:05:19,599 Speaker 3: I am not a crazy doomer. I am very pro 87 00:05:19,720 --> 00:05:23,240 Speaker 3: AI and pro innovation. I just wanted to be done responsibly. 88 00:05:24,680 --> 00:05:28,800 Speaker 2: Still, the risks outlined in the legislation are mostly hypothetical, 89 00:05:29,200 --> 00:05:33,039 Speaker 2: at least as of now. I asked Serene Gafari, a 90 00:05:33,080 --> 00:05:37,400 Speaker 2: reporter who covers AI for Bloomberg News, about how imminent 91 00:05:37,520 --> 00:05:40,440 Speaker 2: the risk of an AI fueled catastrophe really is. 92 00:05:40,880 --> 00:05:43,159 Speaker 4: Okay, this is where you know, it really depends you 93 00:05:43,240 --> 00:05:46,240 Speaker 4: talk to, because even the experts, even the quote unquote 94 00:05:46,400 --> 00:05:49,880 Speaker 4: godfathers of AI who basically invented this field of the 95 00:05:49,920 --> 00:05:54,720 Speaker 4: current type of AI models we're using today, wildly disagree. So, 96 00:05:55,080 --> 00:05:58,240 Speaker 4: you know, someone like Yoshua Benjo, for example, leading computer 97 00:05:58,320 --> 00:06:01,080 Speaker 4: scientists who won the Touring Award, which is like the 98 00:06:01,080 --> 00:06:04,039 Speaker 4: Nobel Prize in math for deep learning, which again is 99 00:06:04,080 --> 00:06:07,159 Speaker 4: like the foundation of AI that we're using today. He 100 00:06:07,360 --> 00:06:09,080 Speaker 4: is a big supporter of this bill. He's come out 101 00:06:09,080 --> 00:06:11,279 Speaker 4: and said, you know, these risks could be coming. He 102 00:06:11,320 --> 00:06:13,200 Speaker 4: doesn't know exactly when, but he says the risk is 103 00:06:13,320 --> 00:06:15,800 Speaker 4: enough that we should be trying to mitigate it. Then 104 00:06:15,880 --> 00:06:18,200 Speaker 4: you have someone else who also won the Tory Award 105 00:06:18,200 --> 00:06:21,400 Speaker 4: with him that year. Another big scientist, Jan Lucuhn, head 106 00:06:21,440 --> 00:06:23,839 Speaker 4: of AI at Facebook. Right now a meta, He says, 107 00:06:24,000 --> 00:06:26,680 Speaker 4: this is ridiculous. You know, we shouldn't be worried about 108 00:06:26,680 --> 00:06:29,480 Speaker 4: these catastrophic risks. These AI tools today are nowhere near 109 00:06:29,520 --> 00:06:32,200 Speaker 4: as smart as human beings, and we're all way too 110 00:06:32,240 --> 00:06:33,479 Speaker 4: overly paranoid here. 111 00:06:33,600 --> 00:06:37,760 Speaker 2: Overly paranoid or not. Another question is whether state legislation 112 00:06:37,920 --> 00:06:41,600 Speaker 2: like this could actually prevent the worst from happening. I 113 00:06:41,640 --> 00:06:45,920 Speaker 2: asked Serene how exactly SB ten forty seven approaches AI 114 00:06:46,080 --> 00:06:46,800 Speaker 2: harm reduction. 115 00:06:47,800 --> 00:06:50,520 Speaker 4: So what it would actually do is mandate that companies 116 00:06:50,520 --> 00:06:52,960 Speaker 4: do a couple things. One is that they have a 117 00:06:53,080 --> 00:06:55,560 Speaker 4: so called kill switch that they have a way to 118 00:06:55,880 --> 00:06:58,440 Speaker 4: like turn off the machine if things go horribly wrong. 119 00:06:59,240 --> 00:07:01,880 Speaker 4: Another is that they would have to create what's called 120 00:07:02,120 --> 00:07:06,560 Speaker 4: SSPs Safety and Security Protocols. And what that would do 121 00:07:06,640 --> 00:07:10,000 Speaker 4: is essentially be like a document that outlines how they're 122 00:07:10,000 --> 00:07:15,320 Speaker 4: adhering to risk mitigation, which includes things like having external testing. Right, 123 00:07:15,360 --> 00:07:17,240 Speaker 4: so they say you have to get a third party 124 00:07:17,280 --> 00:07:19,880 Speaker 4: to go and test your systems and make sure that 125 00:07:19,920 --> 00:07:22,840 Speaker 4: they're not high risk. Also just through the threat of 126 00:07:22,880 --> 00:07:26,080 Speaker 4: being held legally liable, right, is kind of putting into 127 00:07:26,080 --> 00:07:29,400 Speaker 4: writing and spelling out exactly how the state of California 128 00:07:29,440 --> 00:07:32,440 Speaker 4: could come after you if you are not at least 129 00:07:32,480 --> 00:07:35,720 Speaker 4: following a basic set of principles around minimizing risk. 130 00:07:36,080 --> 00:07:39,440 Speaker 2: It's that threat of legal liability that spooked some tech 131 00:07:39,480 --> 00:07:43,760 Speaker 2: companies and help fuel a fierce lobbying effort against the legislation. 132 00:07:44,320 --> 00:07:47,040 Speaker 4: VC firms and tech companies have brought in the big guns. 133 00:07:47,080 --> 00:07:51,360 Speaker 4: They've hired top California lobbyists andres and Horowitz has hired 134 00:07:51,360 --> 00:07:55,200 Speaker 4: someone who has known Governor Newsom for a long time 135 00:07:55,280 --> 00:07:59,080 Speaker 4: and is a very well known and influential lobbyist in California. 136 00:07:59,200 --> 00:08:02,800 Speaker 4: Open aither companies have also hired lobbyists who are working 137 00:08:02,840 --> 00:08:03,680 Speaker 4: on this bill. 138 00:08:05,280 --> 00:08:09,480 Speaker 2: And already this tech industry pushback has led to tangible changes. 139 00:08:10,200 --> 00:08:12,880 Speaker 2: Take the way SB ten forty seven deals with open 140 00:08:12,920 --> 00:08:17,000 Speaker 2: source startups. For example, Sharin says there were concerns that 141 00:08:17,360 --> 00:08:20,280 Speaker 2: even though the bill only applies to these AI giants, 142 00:08:20,760 --> 00:08:24,560 Speaker 2: some of them, like Meta, make their AI models open source. 143 00:08:25,080 --> 00:08:27,720 Speaker 2: That makes it easier for smaller startups to use them 144 00:08:27,760 --> 00:08:28,280 Speaker 2: in their work. 145 00:08:28,720 --> 00:08:31,240 Speaker 4: And the worry is that this bill, if it does 146 00:08:31,280 --> 00:08:33,840 Speaker 4: apply to companies like Meta, whether it be a downstream 147 00:08:33,840 --> 00:08:35,800 Speaker 4: effect where Meta says we're not going to open source 148 00:08:35,840 --> 00:08:37,680 Speaker 4: our models anymore because we don't want to deal with 149 00:08:37,800 --> 00:08:42,839 Speaker 4: worrying about potential liability coming from other developers misusing our technology. 150 00:08:43,280 --> 00:08:46,280 Speaker 2: The latest version of the legislation tries to address those 151 00:08:46,320 --> 00:08:48,439 Speaker 2: potential downstream consequences. 152 00:08:48,480 --> 00:08:52,200 Speaker 3: Wiener told me, for example, making very clear that the 153 00:08:52,320 --> 00:08:56,000 Speaker 3: obligation to be able to shut down an AI model 154 00:08:56,800 --> 00:08:59,880 Speaker 3: only applies if you have that model in your possession. 155 00:09:00,200 --> 00:09:04,120 Speaker 3: So if you open source a model and someone significantly 156 00:09:04,480 --> 00:09:07,960 Speaker 3: changes the model, it's no longer your responsibility. 157 00:09:08,440 --> 00:09:12,520 Speaker 2: There's another overarching critique that tech companies like OpenAI have 158 00:09:12,640 --> 00:09:16,320 Speaker 2: made about SB ten forty seven, though, one that's harder 159 00:09:16,360 --> 00:09:18,800 Speaker 2: to solve with an amendment. It's the fact that the 160 00:09:18,880 --> 00:09:22,800 Speaker 2: legislation comes from the state of California, not Congress. 161 00:09:23,120 --> 00:09:24,600 Speaker 4: A lot of critics of the bill say we should 162 00:09:24,600 --> 00:09:27,400 Speaker 4: get federal legislation. They don't want this patchwork. 163 00:09:27,640 --> 00:09:32,120 Speaker 2: A patchwork meaning different AI regulations set state by state, 164 00:09:32,280 --> 00:09:37,160 Speaker 2: potentially overlapping or contradicting one another, instead of one national 165 00:09:37,200 --> 00:09:40,920 Speaker 2: framework all tech companies have to follow. But Senator Wiener 166 00:09:40,960 --> 00:09:44,600 Speaker 2: says part of the reason California is acting is because 167 00:09:44,760 --> 00:09:46,120 Speaker 2: Congress hasn't. 168 00:09:46,600 --> 00:09:50,199 Speaker 3: People would say, hey, this should be handled by Congress. 169 00:09:50,200 --> 00:09:52,640 Speaker 3: It should be handled at the federal level. It's better 170 00:09:52,679 --> 00:09:56,800 Speaker 3: to have a consistent national standard. And my answer is absolutely, 171 00:09:56,880 --> 00:09:59,000 Speaker 3: I would love to be able to close up shop 172 00:09:59,160 --> 00:10:03,160 Speaker 3: because Congress stepped in and passed a strong AI safety law. 173 00:10:03,240 --> 00:10:04,600 Speaker 3: That would be music to my ears. 174 00:10:06,080 --> 00:10:10,079 Speaker 2: Not all California politicians are on board with this trailblazing 175 00:10:10,120 --> 00:10:13,559 Speaker 2: policy agenda, including Senator Nancy Pelosi. 176 00:10:14,040 --> 00:10:18,440 Speaker 3: This bill is well intentioned but ill informed. 177 00:10:18,440 --> 00:10:21,120 Speaker 2: But prominent supporters have also emerged. 178 00:10:21,320 --> 00:10:24,040 Speaker 1: Elon Musk now coming out in support of a California 179 00:10:24,120 --> 00:10:27,480 Speaker 1: bill to regulate the development of AI, a stark contrast 180 00:10:27,559 --> 00:10:30,959 Speaker 1: to other big names including open Ai and Meta, both 181 00:10:30,960 --> 00:10:32,800 Speaker 1: of which have come out against the bill. 182 00:10:32,840 --> 00:10:36,440 Speaker 2: You're Sharen wasn't entirely surprised by Musk's take. 183 00:10:36,960 --> 00:10:39,240 Speaker 4: Musk has been someone who for a long time, this 184 00:10:39,320 --> 00:10:43,360 Speaker 4: has been his big fear. He has worried about the 185 00:10:43,360 --> 00:10:47,000 Speaker 4: long term, potentially catastrophic effects of AI. That's why he 186 00:10:47,000 --> 00:10:50,400 Speaker 4: helped fund open Ai to be a counter force to Google, 187 00:10:50,440 --> 00:10:52,839 Speaker 4: because he thought that AI is so important that more 188 00:10:52,880 --> 00:10:55,680 Speaker 4: people should be in control of it. Now, if you're cynical, 189 00:10:55,760 --> 00:10:57,679 Speaker 4: I think you could look at it and say, well, 190 00:10:57,720 --> 00:11:00,679 Speaker 4: Elon has more incentive to be support of this bill 191 00:11:00,720 --> 00:11:03,280 Speaker 4: because his AI company isn't number one Open AI or 192 00:11:03,320 --> 00:11:06,640 Speaker 4: anthropic or these other companies are perceived as being more ahead. 193 00:11:07,200 --> 00:11:10,160 Speaker 2: As for Wiener, he told me he'll take the support 194 00:11:10,160 --> 00:11:12,440 Speaker 2: where he can get it. Do you think his tweet 195 00:11:12,440 --> 00:11:12,800 Speaker 2: helps you? 196 00:11:13,400 --> 00:11:17,640 Speaker 3: I think that his tweet really shook things up because 197 00:11:17,679 --> 00:11:20,959 Speaker 3: there are you know, folks who I know, we're very 198 00:11:20,960 --> 00:11:24,199 Speaker 3: critical of the bill, and once they saw the tweet 199 00:11:24,240 --> 00:11:26,160 Speaker 3: and made them think about it more. 200 00:11:28,080 --> 00:11:31,680 Speaker 2: The drama within the AI community over this bill hasn't 201 00:11:31,679 --> 00:11:35,400 Speaker 2: stopped state legislators. They passed SB ten forty seven in 202 00:11:35,440 --> 00:11:38,760 Speaker 2: the last week in August. Now it's fate rests in 203 00:11:38,800 --> 00:11:42,600 Speaker 2: California Governor Gavin Newsom's hands, and if he signs it 204 00:11:42,640 --> 00:11:47,800 Speaker 2: into law, the reapercussions could be felt far beyond California. 205 00:11:48,360 --> 00:11:52,520 Speaker 2: Coming up will these AI regulations developed in the industry's 206 00:11:52,520 --> 00:12:04,600 Speaker 2: backyard have global reach. The Golden State is often ahead 207 00:12:04,600 --> 00:12:07,720 Speaker 2: of the curve when it comes to technology, both building 208 00:12:07,760 --> 00:12:12,960 Speaker 2: it and regulating it, and Scharene Gafari, a Bloomberg Tech reporter, says, 209 00:12:13,000 --> 00:12:17,000 Speaker 2: what happens in California very rarely stays in California. 210 00:12:17,520 --> 00:12:21,040 Speaker 4: It could very well be something that turns into a 211 00:12:21,080 --> 00:12:24,040 Speaker 4: template for other states. This has happened in the past 212 00:12:24,040 --> 00:12:27,200 Speaker 4: where California said some kind of tech legislation and then 213 00:12:27,280 --> 00:12:30,600 Speaker 4: other people followed through. We are already seeing other states 214 00:12:30,679 --> 00:12:34,199 Speaker 4: like Colorado looking at AI legislation, and I do think 215 00:12:34,240 --> 00:12:35,040 Speaker 4: we could see more. 216 00:12:35,320 --> 00:12:37,720 Speaker 2: And it's not just other states that could be taking 217 00:12:37,720 --> 00:12:39,400 Speaker 2: notes on what California is doing. 218 00:12:39,840 --> 00:12:41,680 Speaker 4: It could even at one day become a template for 219 00:12:41,720 --> 00:12:44,320 Speaker 4: federal or even international kind of regulations. 220 00:12:45,600 --> 00:12:49,440 Speaker 2: Sharene says SB ten forty seven already hewes closely to 221 00:12:49,559 --> 00:12:52,640 Speaker 2: international agreements that have come out of recent global safety 222 00:12:52,720 --> 00:12:56,040 Speaker 2: summits in the EU and in Korea. And though the 223 00:12:56,200 --> 00:13:00,640 Speaker 2: US has no national AI regulation in place, Open AI 224 00:13:00,679 --> 00:13:05,040 Speaker 2: and Anthropic recently voluntarily agreed to share their AI models 225 00:13:05,040 --> 00:13:08,920 Speaker 2: before they're released with the US Commerce Department's new AI 226 00:13:09,040 --> 00:13:10,240 Speaker 2: Safety Institute. 227 00:13:10,520 --> 00:13:12,880 Speaker 4: So proponents of the bill say, look, you're already doing 228 00:13:12,880 --> 00:13:14,560 Speaker 4: some of this work. Why are you so against it? 229 00:13:14,600 --> 00:13:16,720 Speaker 4: But critics of the bill say, well, these voluntary agreements 230 00:13:16,720 --> 00:13:19,480 Speaker 4: are working. We're already seeing companies voluntarily come on board, 231 00:13:19,640 --> 00:13:22,199 Speaker 4: So why do we need to have this hammer. 232 00:13:22,160 --> 00:13:26,320 Speaker 2: It's a common tension between businesses and policymakers. They both 233 00:13:26,320 --> 00:13:29,200 Speaker 2: think they should be the ones holding the hammer. But 234 00:13:29,280 --> 00:13:32,800 Speaker 2: for the AI industry, Sharin says, now is a particularly 235 00:13:32,920 --> 00:13:34,800 Speaker 2: tense time to be having this debate. 236 00:13:35,480 --> 00:13:38,360 Speaker 4: People think that there is a race to the finish 237 00:13:38,400 --> 00:13:41,640 Speaker 4: line to reach superintelligence right now. It's this exciting moment 238 00:13:41,640 --> 00:13:44,640 Speaker 4: where we're seeing this kind of Cambrian explosion and this 239 00:13:45,320 --> 00:13:50,080 Speaker 4: rapid advancement in AI, and they worry that this is 240 00:13:50,120 --> 00:13:53,079 Speaker 4: going to just stifle that. And I think that's kind 241 00:13:53,080 --> 00:13:55,760 Speaker 4: of a classic tech versus government fear. 242 00:13:57,040 --> 00:14:01,600 Speaker 2: To AI regulators slowing down that blowsive growth just long 243 00:14:01,720 --> 00:14:04,280 Speaker 2: enough to put up some guardrails might not be the 244 00:14:04,320 --> 00:14:07,640 Speaker 2: worst thing. And while Serene says we likely won't see 245 00:14:07,640 --> 00:14:09,960 Speaker 2: any changes to the AI tools we use in our 246 00:14:10,000 --> 00:14:13,640 Speaker 2: everyday lives just yet, the biggest change could be in 247 00:14:13,760 --> 00:14:17,000 Speaker 2: how developers go about rolling out new technology. 248 00:14:17,559 --> 00:14:20,400 Speaker 4: They may have to take more of a beat right 249 00:14:20,520 --> 00:14:24,600 Speaker 4: before putting out certain models and make sure that, Okay, 250 00:14:24,640 --> 00:14:28,440 Speaker 4: are we in compliance with these guidelines and if not, 251 00:14:29,480 --> 00:14:31,240 Speaker 4: are we taking the risk of being sued. So it 252 00:14:31,240 --> 00:14:35,160 Speaker 4: would just kind of create some more administrative overhead for 253 00:14:35,240 --> 00:14:37,960 Speaker 4: these companies to make sure that they are following these. 254 00:14:37,840 --> 00:14:43,360 Speaker 2: Rules, and for California State Senator Scott Wiener that administrative 255 00:14:43,360 --> 00:14:46,880 Speaker 2: overhead is a small price to pay to ensure future safety. 256 00:14:47,360 --> 00:14:51,560 Speaker 3: This is not about being an AI doomer. It's about 257 00:14:51,840 --> 00:14:55,120 Speaker 3: being a responsible grown up, where we say, let's do 258 00:14:55,240 --> 00:15:00,480 Speaker 3: all these good things and let's also protect against significant. 259 00:15:01,200 --> 00:15:03,760 Speaker 2: Whether you agree with him or not, Charine says that 260 00:15:03,800 --> 00:15:07,120 Speaker 2: the debate over the bill has already informed what questions 261 00:15:07,120 --> 00:15:09,880 Speaker 2: we all might need to be asking about AI development 262 00:15:10,480 --> 00:15:13,040 Speaker 2: and AI regulation in the coming years. 263 00:15:13,240 --> 00:15:15,680 Speaker 4: I think what this bill shows is that it's very 264 00:15:15,720 --> 00:15:17,880 Speaker 4: easy to say, oh, yeah, there could be some kind 265 00:15:17,920 --> 00:15:20,800 Speaker 4: of catastrophic risks from AI. We're all in agreement on that, 266 00:15:20,840 --> 00:15:23,320 Speaker 4: but it's very hard to actually agree. Okay, now, what 267 00:15:23,440 --> 00:15:25,240 Speaker 4: is the percentage chance you think that risk is going 268 00:15:25,280 --> 00:15:28,280 Speaker 4: to come, How urgent is it, What is the best 269 00:15:28,280 --> 00:15:31,520 Speaker 4: way to manage it? Once you get into the details, 270 00:15:31,520 --> 00:15:34,600 Speaker 4: all of a sudden, managing AI becomes really really complicated, 271 00:15:34,720 --> 00:15:39,520 Speaker 4: especially because it's so new, it's so technologically difficult. So 272 00:15:39,760 --> 00:15:42,720 Speaker 4: I think it's probably one of the hardest kinds of 273 00:15:42,760 --> 00:15:45,440 Speaker 4: technology in some ways to regulate. 274 00:15:51,280 --> 00:15:54,360 Speaker 2: This is the big take from Bloomberg News I'm Sarah Holder. 275 00:15:54,720 --> 00:15:57,400 Speaker 2: This episode was produced by Adrian AA Tapia, who also 276 00:15:57,520 --> 00:16:01,080 Speaker 2: fact checked this episode. It was mixed by Blake. Our 277 00:16:01,120 --> 00:16:04,360 Speaker 2: senior producers are Naomi Shaven and Kim Gittelson, who also 278 00:16:04,480 --> 00:16:08,560 Speaker 2: edited this episode. Our senior editor is Elizabeth Ponso. Nicole 279 00:16:08,560 --> 00:16:12,440 Speaker 2: Bumster Borr is our executive producer. Sage Bauman is Bloomberg's 280 00:16:12,440 --> 00:16:15,480 Speaker 2: head of podcasts. If you liked the episode, make sure 281 00:16:15,520 --> 00:16:18,040 Speaker 2: to subscribe and review The Big Take wherever you listen 282 00:16:18,080 --> 00:16:21,400 Speaker 2: to podcasts. It helps people find the show. Thank you 283 00:16:21,440 --> 00:16:27,640 Speaker 2: so much for listening. We'll be back on Monday.