1 00:00:02,480 --> 00:00:10,080 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. This is Bloomberg BusinessWeek 2 00:00:10,400 --> 00:00:14,120 Speaker 1: with Carol Masser and Tim Steneveek on Bloomberg Radio. 3 00:00:14,680 --> 00:00:17,280 Speaker 2: Carol, this story crossing by Rachel Matt's just about one 4 00:00:17,360 --> 00:00:19,919 Speaker 2: pm this afternoon. This is pretty cool. Open ai is 5 00:00:19,960 --> 00:00:22,360 Speaker 2: releasing a free tool. It's aimed at making it easier 6 00:00:22,360 --> 00:00:25,560 Speaker 2: for scientists to use chat GPT to draft research papers 7 00:00:25,840 --> 00:00:28,000 Speaker 2: and collaborate with colleagues. It's part of a larger effort 8 00:00:28,040 --> 00:00:30,720 Speaker 2: to position its chatbot as an aid for scientific work 9 00:00:31,160 --> 00:00:34,600 Speaker 2: and discoveries. Okay, it's called Prism. Open ai is rolling 10 00:00:34,640 --> 00:00:37,360 Speaker 2: it out today. It uses the company's GPT five point 11 00:00:37,400 --> 00:00:39,920 Speaker 2: two AI model to carry out task related to writing 12 00:00:40,280 --> 00:00:43,920 Speaker 2: and revising academic work. A scientist, for example, might ask 13 00:00:43,960 --> 00:00:45,839 Speaker 2: it to help improve the way a paper is written 14 00:00:46,040 --> 00:00:48,000 Speaker 2: and find related papers to cite in their work, or 15 00:00:48,040 --> 00:00:50,720 Speaker 2: generate a computerized version of a handwritten diagram. 16 00:00:51,200 --> 00:00:53,360 Speaker 3: Just be careful not to copy somebody else's work, or 17 00:00:53,479 --> 00:00:59,320 Speaker 3: is gonna say, well, you won't be not good citations 18 00:00:59,360 --> 00:00:59,920 Speaker 3: are important. 19 00:01:00,440 --> 00:01:05,240 Speaker 2: I think the uh administration ran into some issues with 20 00:01:05,720 --> 00:01:11,440 Speaker 2: using AI to come out with some guidelines in recent months, 21 00:01:11,520 --> 00:01:13,840 Speaker 2: and it was found that it's cited papers that don't 22 00:01:13,840 --> 00:01:14,640 Speaker 2: actually exist. 23 00:01:14,800 --> 00:01:17,559 Speaker 3: Yeah, it's it's it's super interesting. I think we're finding 24 00:01:17,560 --> 00:01:19,840 Speaker 3: our way. But I do agree, and I think there's 25 00:01:19,840 --> 00:01:22,840 Speaker 3: a momentum of AI in general. What it couldn't do 26 00:01:22,880 --> 00:01:25,880 Speaker 3: maybe for the healthcare space, for the science space. We 27 00:01:25,959 --> 00:01:27,800 Speaker 3: have a great voice on this. We love touching base 28 00:01:27,840 --> 00:01:31,960 Speaker 3: with her. Jenny Rook, founder and managing director of Genera Ventures. 29 00:01:32,000 --> 00:01:35,640 Speaker 3: It's a VC firm. It invests in, it invests in 30 00:01:36,000 --> 00:01:38,560 Speaker 3: having a tough I'm having a tough time on this Tuesday. 31 00:01:38,800 --> 00:01:40,560 Speaker 3: I blame the snow and maybe being a little off. 32 00:01:41,360 --> 00:01:43,560 Speaker 3: She says, the quote next generation of companies at the 33 00:01:43,560 --> 00:01:47,279 Speaker 3: convergence of technology and biology. This is what she invests in. Jenny, 34 00:01:47,319 --> 00:01:51,160 Speaker 3: good to have you back with us. So talk to 35 00:01:51,240 --> 00:01:55,200 Speaker 3: us about new year, maybe some new ideas, maybe some 36 00:01:55,280 --> 00:01:58,680 Speaker 3: new momentum. Uh. The JP Morgan Healthcare Conference wrapped up 37 00:01:58,680 --> 00:02:01,960 Speaker 3: earlier this month. You were there. Tell us what we 38 00:02:02,040 --> 00:02:04,920 Speaker 3: need to know, especially for those who are listening and 39 00:02:04,960 --> 00:02:08,640 Speaker 3: watching in terms of the investing landscape, trends, narratives in 40 00:02:08,680 --> 00:02:09,240 Speaker 3: this space. 41 00:02:10,680 --> 00:02:12,400 Speaker 4: Sure, I'm happy to good to be back with you, 42 00:02:12,480 --> 00:02:16,760 Speaker 4: Caroly and Tim. Yeah, it was a dynamic year for 43 00:02:16,960 --> 00:02:19,520 Speaker 4: the JP morgan Bytech conference that happens every year here 44 00:02:19,520 --> 00:02:23,760 Speaker 4: in San Francisco. It is always good sort of bell 45 00:02:23,840 --> 00:02:26,839 Speaker 4: weather for how people are feeling going into the new year. 46 00:02:27,720 --> 00:02:29,880 Speaker 4: I would say the headline that I kept hearing in 47 00:02:29,919 --> 00:02:33,720 Speaker 4: conversations around here was cautiously optimistic, which you know, I'll 48 00:02:33,760 --> 00:02:36,799 Speaker 4: take it after the last couple of years, although I 49 00:02:36,919 --> 00:02:39,679 Speaker 4: must admit that was a phrase that we said last 50 00:02:39,760 --> 00:02:43,080 Speaker 4: year as well, and then twenty twenty five happened with 51 00:02:43,120 --> 00:02:47,919 Speaker 4: all its uncertainties, but there was a different, probably different feel. 52 00:02:48,080 --> 00:02:51,239 Speaker 4: There were more people here actually this year than last year. 53 00:02:51,320 --> 00:02:57,120 Speaker 4: Generally speaking, events were quite well attended, and I think 54 00:02:57,120 --> 00:03:00,359 Speaker 4: there was a lot of energy around the very real 55 00:03:00,400 --> 00:03:04,359 Speaker 4: impacts as you were just talking about, of AI on 56 00:03:04,600 --> 00:03:06,920 Speaker 4: health and science, and also some of the shifts in 57 00:03:06,960 --> 00:03:11,400 Speaker 4: the availability of funding, both public and private for advancing 58 00:03:11,400 --> 00:03:14,400 Speaker 4: health care and science, actually along the lines of your 59 00:03:14,440 --> 00:03:19,239 Speaker 4: previous guests. So I would say, in general, lots to 60 00:03:19,400 --> 00:03:22,679 Speaker 4: be excited about, again, perhaps cautiously. Yeah. 61 00:03:22,720 --> 00:03:25,720 Speaker 2: We spoke to you know, just a couple of weeks 62 00:03:25,760 --> 00:03:27,880 Speaker 2: ago from the JPM conference. We heard from some of 63 00:03:27,880 --> 00:03:31,240 Speaker 2: the heads or chairs of the biggest pharmaceutical companies out there. 64 00:03:32,600 --> 00:03:37,560 Speaker 2: Are you also seeing like the early stage stuff. Are 65 00:03:37,600 --> 00:03:40,320 Speaker 2: you seeing a lot of opportunities there still? Because as 66 00:03:40,320 --> 00:03:41,880 Speaker 2: we've spoke to you a lot about quite you know 67 00:03:41,920 --> 00:03:44,720 Speaker 2: over the last year, a lot of that stems from 68 00:03:44,760 --> 00:03:47,920 Speaker 2: academic research. There are questions about funding. We just spoke 69 00:03:47,920 --> 00:03:50,480 Speaker 2: about it with Janet Lauren, you know, in these universities, 70 00:03:50,480 --> 00:03:53,200 Speaker 2: and that funding drying up from the federal government. Is 71 00:03:53,240 --> 00:03:54,360 Speaker 2: that excitement still? 72 00:03:54,400 --> 00:03:54,680 Speaker 1: There? 73 00:03:55,040 --> 00:03:58,240 Speaker 2: Are the opportunities still there? Are you having a hard 74 00:03:58,280 --> 00:04:01,240 Speaker 2: time picking and choosing which investments to make because there 75 00:04:01,240 --> 00:04:02,880 Speaker 2: are a plethora of investments to make. 76 00:04:04,520 --> 00:04:07,040 Speaker 4: I think there are always going to be opportunities because 77 00:04:07,080 --> 00:04:10,280 Speaker 4: there's so much we're still learning about basic science and 78 00:04:10,320 --> 00:04:12,960 Speaker 4: how to use it. And as we've been talking about 79 00:04:13,000 --> 00:04:17,480 Speaker 4: the acceleration of the ability to get some data as 80 00:04:17,680 --> 00:04:20,840 Speaker 4: a scientist, as a researcher, as a technology developer, as 81 00:04:20,839 --> 00:04:26,120 Speaker 4: an entrepreneur, get that data, reincorporate anyone's thinking with the 82 00:04:26,160 --> 00:04:29,600 Speaker 4: tools of AI, and come up with new ways to 83 00:04:29,640 --> 00:04:32,960 Speaker 4: pursue either the business plan or the scientific research that 84 00:04:33,080 --> 00:04:37,479 Speaker 4: Flywheel is spending faster with the assistance of AI and 85 00:04:37,520 --> 00:04:42,600 Speaker 4: other kinds of connectivity and collaboration. So that's definitely happening. 86 00:04:42,760 --> 00:04:44,440 Speaker 4: I think One of the things we've talked about in 87 00:04:44,480 --> 00:04:47,960 Speaker 4: our conversations in the past is while it was very 88 00:04:48,000 --> 00:04:52,960 Speaker 4: much disruptive to people's expectations about where federal dollars were 89 00:04:53,000 --> 00:04:56,839 Speaker 4: going to be coming from for advancing science, we've seen 90 00:04:56,839 --> 00:05:01,920 Speaker 4: a couple of things. One the resilience of those driven, 91 00:05:02,000 --> 00:05:05,120 Speaker 4: passionate researchers who are looking to get their work done 92 00:05:05,279 --> 00:05:08,320 Speaker 4: one day, one way or another figuring out ways to 93 00:05:09,320 --> 00:05:13,640 Speaker 4: get that funding done. As well as entrepreneurs. They tend 94 00:05:13,680 --> 00:05:16,600 Speaker 4: to be the grittiest and the most driven. So we're 95 00:05:16,640 --> 00:05:22,640 Speaker 4: seeing in some cases this actually, perhaps counterintuitively, is creating 96 00:05:23,000 --> 00:05:27,880 Speaker 4: a new category or more opportunities for the early stage investor, 97 00:05:29,279 --> 00:05:32,720 Speaker 4: where perhaps a researcher who hadn't been thinking of commercializing 98 00:05:32,839 --> 00:05:35,720 Speaker 4: their research is starting to think, well, is there an 99 00:05:35,760 --> 00:05:38,560 Speaker 4: opportunity to bring this out in a way where I 100 00:05:38,560 --> 00:05:42,919 Speaker 4: can access both commercial dollars and the funding that is 101 00:05:42,960 --> 00:05:44,520 Speaker 4: available for advancing science. 102 00:05:45,680 --> 00:05:45,960 Speaker 1: Yeah. 103 00:05:46,000 --> 00:05:50,760 Speaker 3: I also think about, you know, how patient Jenny investors 104 00:05:50,760 --> 00:05:53,320 Speaker 3: have to be for really seeing the AI payoff when 105 00:05:53,360 --> 00:05:56,000 Speaker 3: it comes to you know, either biotech developments. We know 106 00:05:56,080 --> 00:05:58,919 Speaker 3: some of this stuff takes time in a normal world, 107 00:05:59,240 --> 00:06:02,080 Speaker 3: and we know AI I can certainly speed up things. 108 00:06:02,080 --> 00:06:06,400 Speaker 3: But I'm just curious, does the time frame for figuring 109 00:06:06,400 --> 00:06:11,000 Speaker 3: out developments in this area is it sped up because 110 00:06:11,040 --> 00:06:12,880 Speaker 3: of AI or is it still going to take a while. 111 00:06:14,360 --> 00:06:17,080 Speaker 4: This is such an important point, Carol. We have to 112 00:06:17,160 --> 00:06:20,480 Speaker 4: keep in mind that many of the accelerations that we're 113 00:06:20,520 --> 00:06:23,560 Speaker 4: talking about that AI can bring to the practice of 114 00:06:23,640 --> 00:06:27,920 Speaker 4: science is still happening at the beginning of a journey too. 115 00:06:28,080 --> 00:06:32,480 Speaker 4: For example, bring a new intervention or diagnostic product to market, 116 00:06:32,880 --> 00:06:36,320 Speaker 4: and so perhaps it can help us come up with 117 00:06:37,080 --> 00:06:42,960 Speaker 4: novel medicines or novel targets for medicines, but we're still 118 00:06:43,520 --> 00:06:47,720 Speaker 4: looking at the beginning of the multi year, many hundreds 119 00:06:47,760 --> 00:06:52,520 Speaker 4: of millions of dollars journey to bring a drug properly 120 00:06:52,600 --> 00:06:55,440 Speaker 4: through clinical development. So I think it is important to 121 00:06:55,480 --> 00:06:59,320 Speaker 4: your point to temper our excitement about that potential impact 122 00:06:59,360 --> 00:07:02,359 Speaker 4: with the overlay of the timelines that it takes to 123 00:07:02,520 --> 00:07:06,799 Speaker 4: actually properly investigate and develop and launch medicines. 124 00:07:08,600 --> 00:07:11,200 Speaker 3: Very cool stuff I was thinking about too. We had 125 00:07:11,720 --> 00:07:16,560 Speaker 3: a conversation with Kathy Wood and talking about AI certainly 126 00:07:16,880 --> 00:07:20,680 Speaker 3: in healthcare and drug developments as well. Yeah, definitely bullish. 127 00:07:20,720 --> 00:07:24,040 Speaker 3: So we highly recommend folks check out that conversation, but 128 00:07:24,120 --> 00:07:27,560 Speaker 3: Jenny always loved touching base with you. Certainly an important 129 00:07:27,640 --> 00:07:29,600 Speaker 3: area to have on our radar, and that of course 130 00:07:29,720 --> 00:07:32,400 Speaker 3: was Jenny Rook, founder managing director of Generadventures. Good to 131 00:07:32,640 --> 00:07:34,600 Speaker 3: check in with her, joining us from the West Coast, 132 00:07:34,640 --> 00:07:35,280 Speaker 3: San Francisco,