1 00:00:08,280 --> 00:00:11,040 Speaker 1: Welcome to Daily Variety, your daily dose of news and 2 00:00:11,119 --> 00:00:15,920 Speaker 1: analysis for entertainment industry insiders. It's Tuesday, September ninth, twenty 3 00:00:15,960 --> 00:00:19,319 Speaker 1: twenty five. I'm your host, Cynthia Littleton. I am co 4 00:00:19,480 --> 00:00:23,360 Speaker 1: editor in chief of Variety alongside Ramin Setuda. I'm in 5 00:00:23,520 --> 00:00:26,760 Speaker 1: LA He's in New York, and Variety has reporters around 6 00:00:26,800 --> 00:00:30,320 Speaker 1: the world covering the business of entertainment. In today's episode, 7 00:00:30,440 --> 00:00:33,480 Speaker 1: we'll talk with business editor Todd Spangler and senior media 8 00:00:33,520 --> 00:00:37,040 Speaker 1: writer Gene Mattis about the latest in Hollywood's legal fight 9 00:00:37,159 --> 00:00:40,480 Speaker 1: with big AI firms. And we'll hear from reporter Ethan 10 00:00:40,520 --> 00:00:43,400 Speaker 1: Schanfeld on the comings and goings at Saturday Night Live. 11 00:00:44,320 --> 00:00:46,200 Speaker 1: But before we get to that, here are a few 12 00:00:46,240 --> 00:00:48,720 Speaker 1: headlines just in this morning that you need to know. 13 00:00:49,640 --> 00:00:52,960 Speaker 1: Wendy McMahon, the former head of CBS News and Stations, 14 00:00:53,240 --> 00:00:56,880 Speaker 1: has joined Beehive as a consultant and advisor to Tyler Dink. 15 00:00:57,280 --> 00:00:59,880 Speaker 1: Dink is the founder of the publishing platform for inde 16 00:01:00,040 --> 00:01:03,680 Speaker 1: pennant journalists. Netflix has ordered a new series from Black 17 00:01:03,720 --> 00:01:08,320 Speaker 1: Mirror creator Charlie Brooker. It's an untitled four part crime 18 00:01:08,400 --> 00:01:13,960 Speaker 1: thriller starring Patty Considine, Georgina Campbell, and Lena Heady. According 19 00:01:13,959 --> 00:01:18,440 Speaker 1: to Netflix, a quote contains blood and frowning end quote 20 00:01:19,200 --> 00:01:22,880 Speaker 1: from Elizabeth Banks to Catherine Zada Jones. A whole host 21 00:01:23,000 --> 00:01:26,600 Speaker 1: of starry names are lined up as presenters for Sunday's 22 00:01:26,640 --> 00:01:31,199 Speaker 1: seventy seventh Emmy Awards. The early reviews are in. People 23 00:01:31,240 --> 00:01:35,280 Speaker 1: seem to be loving Leonardo DiCaprio's latest from director Paul 24 00:01:35,319 --> 00:01:39,880 Speaker 1: Thomas Anderson Warrier Brothers, One Battle After Another, opens on 25 00:01:39,920 --> 00:01:43,160 Speaker 1: September twenty sixth. You can find all of these stories 26 00:01:43,160 --> 00:01:49,000 Speaker 1: and so much more on Variety dot com. Right now now, 27 00:01:49,000 --> 00:01:52,160 Speaker 1: it's time for conversations with Variety journalists about news and 28 00:01:52,200 --> 00:01:55,600 Speaker 1: trends in show business. Today we're talking to Todd Spangler 29 00:01:55,640 --> 00:01:59,280 Speaker 1: and Gene Mattis about two big developments in AI litigation 30 00:01:59,520 --> 00:02:03,920 Speaker 1: involving the firms Anthropic and mid Journey. We discuss what 31 00:02:03,960 --> 00:02:08,480 Speaker 1: it all means for copyright protection and showbiz. Gene Mattison, 32 00:02:08,560 --> 00:02:12,799 Speaker 1: Todd Spangler, thank you for joining me here today, Helo, 33 00:02:14,240 --> 00:02:16,760 Speaker 1: and we've had a couple of interesting court rulings and 34 00:02:16,800 --> 00:02:19,320 Speaker 1: some movement. The time has come to talk big picture 35 00:02:19,360 --> 00:02:22,560 Speaker 1: about AI and the state of the litigation that is 36 00:02:22,639 --> 00:02:26,480 Speaker 1: going on within the entertainment industry. There's a lot going on. 37 00:02:26,800 --> 00:02:30,920 Speaker 1: Rulings are coming in from various quarters. There's been there's 38 00:02:31,000 --> 00:02:33,120 Speaker 1: two big cases that have really been getting a lot 39 00:02:33,120 --> 00:02:36,320 Speaker 1: of attention in Hollywood. One is involving a company called 40 00:02:36,360 --> 00:02:39,560 Speaker 1: Anthropic based in San Francisco, one of the one of 41 00:02:39,560 --> 00:02:41,680 Speaker 1: the bigger AI firms, and a firm that is really 42 00:02:41,680 --> 00:02:45,880 Speaker 1: trying to position itself as friendly to creative industries, friendly 43 00:02:46,000 --> 00:02:50,200 Speaker 1: to copyright based industries. And then on the other spectrum, 44 00:02:50,200 --> 00:02:54,240 Speaker 1: there's a company called mid Journey, which has really animated 45 00:02:54,520 --> 00:03:00,000 Speaker 1: the biggest Hollywood studios Disney, NBC, Universal and now Warner Brothers. 46 00:03:00,120 --> 00:03:04,519 Speaker 1: Last week, Warner Brothers Discovery joined the lawsuit against mid Journey. 47 00:03:04,560 --> 00:03:07,680 Speaker 1: The studios are accusing Mid Journey of just the latant 48 00:03:07,680 --> 00:03:12,600 Speaker 1: copyright infringement. Let me start with Todd as somebody who 49 00:03:12,639 --> 00:03:16,120 Speaker 1: covered YouTube and so many other things over the years. 50 00:03:16,440 --> 00:03:18,400 Speaker 1: What do you think is going on here? 51 00:03:18,600 --> 00:03:24,079 Speaker 2: You know, the wheels of justice grind slowly, and technology 52 00:03:24,120 --> 00:03:28,120 Speaker 2: famously always is ahead of where the legal standards are. 53 00:03:28,520 --> 00:03:31,680 Speaker 2: But there is a parallel to what YouTube went through. 54 00:03:32,200 --> 00:03:35,480 Speaker 2: They put in their copyright flagging system in order to 55 00:03:36,120 --> 00:03:38,480 Speaker 2: make peace with the copyright holders. 56 00:03:38,520 --> 00:03:40,680 Speaker 3: The big question on that people have been trying to 57 00:03:40,760 --> 00:03:45,640 Speaker 3: understand is is AI training itself copyright infringement And there 58 00:03:45,640 --> 00:03:49,280 Speaker 3: are a lot of people, certainly in Hollywood unions, who 59 00:03:49,280 --> 00:03:52,160 Speaker 3: think that it is. And there's something called the Human 60 00:03:52,280 --> 00:03:54,480 Speaker 3: Artistry Campaign, which is sort of a coalition of a 61 00:03:54,520 --> 00:03:57,600 Speaker 3: lot of creative people, including the unions, that are sort 62 00:03:57,600 --> 00:03:59,920 Speaker 3: of pushed for you know, if you're going to train 63 00:04:00,080 --> 00:04:02,040 Speaker 3: on our work, then you need to pay us. And 64 00:04:02,760 --> 00:04:05,800 Speaker 3: the legal cases that we've seen so far have not 65 00:04:06,000 --> 00:04:09,520 Speaker 3: supported that point of view. There were two federal cases 66 00:04:09,560 --> 00:04:13,240 Speaker 3: in June, both of which is held that fundamentally AI 67 00:04:13,280 --> 00:04:18,520 Speaker 3: training is transformative and therefore it's fair use. And that's 68 00:04:18,560 --> 00:04:21,120 Speaker 3: not an absolute license to go do whatever you want 69 00:04:21,160 --> 00:04:23,120 Speaker 3: to do, but it is a pretty strong indication that 70 00:04:23,200 --> 00:04:26,720 Speaker 3: courts are looking at this as a transformative use that 71 00:04:27,000 --> 00:04:29,800 Speaker 3: is not inherently copyright protected. 72 00:04:30,640 --> 00:04:35,000 Speaker 1: The keyword there is transformative. So let's talk specifically about 73 00:04:35,000 --> 00:04:38,640 Speaker 1: what happened with Anthropic again, one of the biggest AI 74 00:04:38,760 --> 00:04:42,080 Speaker 1: companies based in San Francisco. A big week for the 75 00:04:42,120 --> 00:04:45,480 Speaker 1: company last week they settled this lawsuit. They also announced 76 00:04:45,520 --> 00:04:49,240 Speaker 1: that they'd raise thirteen billion dollars in investment money, which 77 00:04:49,400 --> 00:04:54,200 Speaker 1: brings the company's valuation to one hundred and eighty three 78 00:04:54,320 --> 00:04:58,640 Speaker 1: billion one eight three billion. That is astounding but also 79 00:04:58,720 --> 00:05:01,600 Speaker 1: indicative of the moment that we're in for AI. I 80 00:05:01,640 --> 00:05:03,400 Speaker 1: don't know if you could cash that in the bank. 81 00:05:03,480 --> 00:05:08,120 Speaker 1: They're a private company, but that's the valuation. So Anthropic 82 00:05:08,200 --> 00:05:11,640 Speaker 1: took the step. They reached a settlement paying one point 83 00:05:11,680 --> 00:05:16,480 Speaker 1: five billion to a group of authors after a legal 84 00:05:16,520 --> 00:05:20,599 Speaker 1: case found that they did in fact illegally download a 85 00:05:20,760 --> 00:05:24,120 Speaker 1: bunch of books early on when they were training in 86 00:05:24,200 --> 00:05:29,280 Speaker 1: their AI service with the cuddly name of Claude Gene. 87 00:05:29,279 --> 00:05:32,520 Speaker 1: You've followed this case, tell us what's significant about the 88 00:05:32,560 --> 00:05:35,960 Speaker 1: settlement and what else has been significant about the litigation 89 00:05:36,360 --> 00:05:37,480 Speaker 1: around and trop. 90 00:05:37,520 --> 00:05:40,279 Speaker 3: Well, the dollar figure is pretty significant. The one point 91 00:05:40,279 --> 00:05:43,880 Speaker 3: five billion figure the PLANETFF lawyers were touting as the 92 00:05:44,000 --> 00:05:48,360 Speaker 3: largest ever copyright recovery and so you know, I've had 93 00:05:48,440 --> 00:05:50,400 Speaker 3: larger verdicts, but that they actually collect on it, and 94 00:05:50,400 --> 00:05:53,120 Speaker 3: they're going to actually collect on this one point five billion, 95 00:05:53,920 --> 00:05:58,159 Speaker 3: So that's significant. And we mentioned the ruling in June 96 00:05:58,200 --> 00:06:02,400 Speaker 3: where the judge had said basically training is fair use. Well, 97 00:06:02,440 --> 00:06:04,720 Speaker 3: he also said at the same time that doesn't mean 98 00:06:04,760 --> 00:06:08,240 Speaker 3: you can just go ahead and download pirated books from 99 00:06:08,400 --> 00:06:10,960 Speaker 3: shady websites on the dark web or whatever, which is 100 00:06:11,000 --> 00:06:14,080 Speaker 3: what they were doing initially. They don't do that anymore. 101 00:06:14,440 --> 00:06:17,400 Speaker 3: The way they get books now is they buy paper 102 00:06:17,440 --> 00:06:21,040 Speaker 3: copies of used books and then have them scanned. And 103 00:06:21,120 --> 00:06:24,159 Speaker 3: the judge basically said, if you do that, then that's legal, 104 00:06:24,200 --> 00:06:26,560 Speaker 3: and you can go and scan them and use them 105 00:06:26,560 --> 00:06:28,920 Speaker 3: to train Claude, and that's all fine, and that's fair use. 106 00:06:29,400 --> 00:06:33,240 Speaker 3: But if you illegally downloaded these books in the first place, 107 00:06:33,279 --> 00:06:35,440 Speaker 3: then that's infringement in the same way that if you 108 00:06:35,480 --> 00:06:38,880 Speaker 3: illegally download a movie, that's infringement. So that was what 109 00:06:38,920 --> 00:06:41,440 Speaker 3: they were paying for. That's the one point five billion. 110 00:06:42,160 --> 00:06:44,320 Speaker 3: And I think there's an open question of how many 111 00:06:44,360 --> 00:06:46,240 Speaker 3: others may have done this in the sort of early 112 00:06:46,360 --> 00:06:48,840 Speaker 3: days of AI training, and maybe they'll be on the 113 00:06:48,880 --> 00:06:51,920 Speaker 3: hook too. But going forward, they should know well enough 114 00:06:51,960 --> 00:06:54,000 Speaker 3: to do this in the legal way and not in 115 00:06:54,040 --> 00:06:56,800 Speaker 3: the illegal way and avoid this kind of judgment. 116 00:06:57,640 --> 00:06:59,800 Speaker 1: But now let me ask you both. If I understand this, 117 00:07:00,600 --> 00:07:03,520 Speaker 1: If I go to a garage sale and I buy 118 00:07:03,560 --> 00:07:07,080 Speaker 1: ten books for fifty cents, and then then I then 119 00:07:07,160 --> 00:07:09,720 Speaker 1: take those books, scan them and to put them into 120 00:07:09,760 --> 00:07:13,320 Speaker 1: my digital large language model. That's okay because I did 121 00:07:13,520 --> 00:07:15,400 Speaker 1: acquire those books legally. 122 00:07:16,400 --> 00:07:19,680 Speaker 3: Yeah, And basically the argument is when you're making a 123 00:07:19,760 --> 00:07:23,240 Speaker 3: large language model, that's a transformative use, and you're not 124 00:07:23,360 --> 00:07:26,200 Speaker 3: going out and selling a duplicate of the books that 125 00:07:26,240 --> 00:07:29,960 Speaker 3: you bought, which would be copyright infringement. You're creating something new, 126 00:07:30,080 --> 00:07:33,239 Speaker 3: and that's what copyright is there to incentivize, is creating 127 00:07:33,280 --> 00:07:35,800 Speaker 3: something new. It goes to the point of fair use 128 00:07:35,880 --> 00:07:39,400 Speaker 3: being a very complicated. Yeah, the factor test, there's like 129 00:07:39,440 --> 00:07:43,960 Speaker 3: four different factors, and transformative transformativeness is one of the factors. 130 00:07:43,960 --> 00:07:46,200 Speaker 3: But there's also a question of market harm. 131 00:07:46,640 --> 00:07:50,480 Speaker 1: Let's talk about mid Journey, which is they've got they've 132 00:07:50,480 --> 00:07:53,720 Speaker 1: got the big guns of Hollywood. They've got Disney, NBC, Universal, 133 00:07:53,760 --> 00:07:57,280 Speaker 1: Warner Brothers, Discovery. You know, that's a lot of corporate 134 00:07:57,320 --> 00:08:01,840 Speaker 1: studio firepower saying hey, you're using the line of copyright. 135 00:08:02,280 --> 00:08:04,600 Speaker 1: What do you think it is about mid Journey. There's 136 00:08:04,600 --> 00:08:06,760 Speaker 1: a lot of companies out there, But what is it 137 00:08:06,800 --> 00:08:09,480 Speaker 1: about mid Journey that you think has attracted so much 138 00:08:09,560 --> 00:08:10,680 Speaker 1: attention from the studios? 139 00:08:11,240 --> 00:08:14,320 Speaker 3: I mean, I think mid Journey is big enough to 140 00:08:14,360 --> 00:08:17,760 Speaker 3: be significant, but small enough that it's something they can 141 00:08:17,760 --> 00:08:21,440 Speaker 3: prevail a cast. They're not going after Meta, They're not 142 00:08:21,520 --> 00:08:25,560 Speaker 3: going after Google. They're going after a relatively small, bootstrapped 143 00:08:25,640 --> 00:08:30,640 Speaker 3: company that is nevertheless quite popular, quite successful. So the 144 00:08:30,720 --> 00:08:32,559 Speaker 3: feeling is that, you know, if they can win here, 145 00:08:32,600 --> 00:08:34,520 Speaker 3: they make a point, and then everybody else has to 146 00:08:34,600 --> 00:08:35,679 Speaker 3: kind of fall into line. 147 00:08:36,080 --> 00:08:38,719 Speaker 2: And then the other point about it is that mid 148 00:08:38,760 --> 00:08:41,760 Speaker 2: Journey is actually they have a business model that's set 149 00:08:41,840 --> 00:08:44,959 Speaker 2: up to profit from this activity where they're charging people 150 00:08:45,000 --> 00:08:48,240 Speaker 2: to use the system, whereas right now Google and Meta 151 00:08:48,240 --> 00:08:52,040 Speaker 2: are not per se charging people to use it. 152 00:08:52,280 --> 00:08:56,000 Speaker 1: So mid Journey you pay a subscription fee to mid 153 00:08:56,040 --> 00:08:59,080 Speaker 1: Journey to be able to use their large language model 154 00:08:59,200 --> 00:09:04,120 Speaker 1: and create create things out of their AI database, which 155 00:09:04,320 --> 00:09:07,520 Speaker 1: the studios and others are saying is rife with copyrighted 156 00:09:07,559 --> 00:09:09,360 Speaker 1: material that they have no right to use. 157 00:09:10,400 --> 00:09:13,720 Speaker 3: It's not argue that there's a copyrighted material in the 158 00:09:13,760 --> 00:09:17,120 Speaker 3: training data. It's that the what the users are able 159 00:09:17,160 --> 00:09:21,320 Speaker 3: to generate is copyrighted material. Right, So if you prompt 160 00:09:21,400 --> 00:09:25,120 Speaker 3: it to say, can you show me Superman fighting with Batman? 161 00:09:25,200 --> 00:09:27,800 Speaker 3: It will show you Superman fighting with Batman. And it's 162 00:09:27,840 --> 00:09:30,920 Speaker 3: pretty much identical to the you know, copyrighted versions of 163 00:09:30,960 --> 00:09:33,959 Speaker 3: those images, right if it would be a different conversation 164 00:09:34,640 --> 00:09:37,800 Speaker 3: if you know that if mid Journey had guardrails that 165 00:09:37,840 --> 00:09:40,160 Speaker 3: didn't allow you to do that. But nevertheless, Superman and 166 00:09:40,160 --> 00:09:43,000 Speaker 3: Batman are still in the training data. But what Disney 167 00:09:43,040 --> 00:09:46,720 Speaker 3: and Warner Brothers and a Universal are all saying is like, 168 00:09:47,080 --> 00:09:51,080 Speaker 3: whatever you're doing, it's generating copies of our work and 169 00:09:51,120 --> 00:09:53,280 Speaker 3: you're charging people for it, and you can't do that. 170 00:09:53,520 --> 00:09:56,400 Speaker 3: And whether it's AI or a photocopy er, you're not 171 00:09:56,440 --> 00:09:57,200 Speaker 3: allowed to do that. 172 00:09:57,360 --> 00:09:59,839 Speaker 2: The studios want to be able to use generator YI 173 00:10:00,280 --> 00:10:02,920 Speaker 2: if and when it makes sense for that, and so 174 00:10:03,320 --> 00:10:07,439 Speaker 2: by drawing these lines around this particular case, they don't 175 00:10:07,440 --> 00:10:09,760 Speaker 2: to tie their own hands so. 176 00:10:10,080 --> 00:10:14,240 Speaker 1: Much to follow. Thank you both for pouring through complaints 177 00:10:14,280 --> 00:10:17,400 Speaker 1: and rulings. I so appreciate the two of you talking 178 00:10:17,520 --> 00:10:21,160 Speaker 1: us through this in very simple terms. Really appreciate it, 179 00:10:21,200 --> 00:10:22,440 Speaker 1: and certainly more to come. 180 00:10:22,840 --> 00:10:24,120 Speaker 3: Thank you, yep, thank you. 181 00:10:26,960 --> 00:10:30,480 Speaker 1: Now we turn to Ethan Shanfeld. He describes the rush 182 00:10:30,559 --> 00:10:33,440 Speaker 1: over the past few weeks in the comedy world as 183 00:10:33,480 --> 00:10:37,000 Speaker 1: Saturday Night Live creator Lorne Michael's settled on the final 184 00:10:37,080 --> 00:10:40,720 Speaker 1: cast lineup. For season fifty one. It's a mad dash 185 00:10:40,760 --> 00:10:45,120 Speaker 1: for sure. Ethan Shanfeld, intrepid reporter in New York. Thanks 186 00:10:45,160 --> 00:10:45,680 Speaker 1: for joining me. 187 00:10:45,920 --> 00:10:47,360 Speaker 4: Thanks for having me, Cynthia. 188 00:10:47,559 --> 00:10:49,720 Speaker 1: Ethan. You've been reporting in the last couple of weeks 189 00:10:49,720 --> 00:10:52,280 Speaker 1: on all of the comings and goings at Saturday Night Live. 190 00:10:52,760 --> 00:10:56,040 Speaker 1: It's an annual late summer ritual. There is cast turnover 191 00:10:56,480 --> 00:11:01,640 Speaker 1: at the show that, remarkably, after fifty one season, still 192 00:11:01,720 --> 00:11:05,160 Speaker 1: holds a special place in pop culture. You've written a 193 00:11:05,240 --> 00:11:07,679 Speaker 1: number of stories about this. What are you hearing out 194 00:11:07,679 --> 00:11:09,240 Speaker 1: there from people in the comedy world. 195 00:11:09,559 --> 00:11:13,040 Speaker 4: The main thing is that this type of turnover in 196 00:11:13,080 --> 00:11:17,200 Speaker 4: the cast happens every few years. We've had one major 197 00:11:17,240 --> 00:11:20,160 Speaker 4: player leave the show, which is Heidi Gardner. She was 198 00:11:20,160 --> 00:11:23,160 Speaker 4: on the show for eight years. And then aside from Heidi, 199 00:11:23,280 --> 00:11:28,240 Speaker 4: we had Devin Walker, Emil Wakim, Michael Longfellow. They've left, 200 00:11:28,960 --> 00:11:33,200 Speaker 4: and Please Don't Destroy, which is the comedy trio that 201 00:11:33,320 --> 00:11:36,280 Speaker 4: did a lot of the digital shorts. They've been split 202 00:11:36,360 --> 00:11:38,720 Speaker 4: up by the show. Ben Marshall has been up to 203 00:11:39,040 --> 00:11:42,040 Speaker 4: be in the main cast. John Higgins has left the show, 204 00:11:42,120 --> 00:11:45,280 Speaker 4: and then Martin Harley he will stay on as a writer. Well, 205 00:11:45,720 --> 00:11:48,559 Speaker 4: you know, they've become known for these sort of oddball 206 00:11:48,720 --> 00:11:53,000 Speaker 4: digital shorts, sort of reminiscent of the Lonely Island that 207 00:11:53,040 --> 00:11:55,679 Speaker 4: have featured Taylor Swift and Bad Bunny, a lot of 208 00:11:55,720 --> 00:11:57,240 Speaker 4: the celebrity hosts. 209 00:11:57,320 --> 00:12:00,280 Speaker 1: Right, the things that extend the SNL to be talked 210 00:12:00,320 --> 00:12:02,640 Speaker 1: about throughout the rest of the week, right. 211 00:12:02,800 --> 00:12:08,839 Speaker 4: And in the last season, their sketches have noticeably been 212 00:12:08,920 --> 00:12:11,480 Speaker 4: on less than they were in the past, so you 213 00:12:11,480 --> 00:12:13,440 Speaker 4: could see the trajectory there. 214 00:12:14,360 --> 00:12:17,160 Speaker 1: Tell us about the newcomers who made the cut this. 215 00:12:17,160 --> 00:12:21,200 Speaker 4: Year, absolutely, so, there's five new cast members. The cast 216 00:12:21,240 --> 00:12:24,920 Speaker 4: of the show just keeps growing and growing, which could 217 00:12:25,280 --> 00:12:27,960 Speaker 4: be a problem for some of these new members as 218 00:12:28,000 --> 00:12:30,920 Speaker 4: it's harder to break through. So the new faces are 219 00:12:31,040 --> 00:12:36,280 Speaker 4: Tommy Brennan, Jeremy Colhayne, Cam Patterson, and Veronica Slowakowska. I 220 00:12:36,280 --> 00:12:38,959 Speaker 4: hope I'm pronouncing that last one right. Some of them 221 00:12:39,040 --> 00:12:43,680 Speaker 4: have risen online on Instagram and TikTok doing these sort 222 00:12:43,679 --> 00:12:48,040 Speaker 4: of short videos that have gone viral. Especially Veronica has 223 00:12:48,120 --> 00:12:52,200 Speaker 4: broken out as one of those new voices in internet comedy, 224 00:12:53,040 --> 00:12:56,400 Speaker 4: and Cam Patterson, I think is notable because he's a 225 00:12:56,520 --> 00:13:00,280 Speaker 4: stand up who's mostly known as a frequent guest of 226 00:13:00,360 --> 00:13:04,719 Speaker 4: the Kill Tony podcast, and kill Tony is definitely a 227 00:13:04,800 --> 00:13:08,840 Speaker 4: little bit more raunchy, a little edgier than where a 228 00:13:08,880 --> 00:13:12,199 Speaker 4: lot of the SNL cast comes from. A lot of 229 00:13:12,240 --> 00:13:15,160 Speaker 4: the SNL cast comes from more of the old comedy scene, 230 00:13:15,640 --> 00:13:19,120 Speaker 4: more of the improv scene. So Cam comes from from 231 00:13:19,160 --> 00:13:22,840 Speaker 4: sort of a more club atmosphere where you know, you 232 00:13:22,880 --> 00:13:25,000 Speaker 4: can't say some of the things that he says on 233 00:13:25,080 --> 00:13:29,720 Speaker 4: stage on network television. I think that hiring Cam points to, 234 00:13:30,640 --> 00:13:33,960 Speaker 4: you know, Lauren wanting to get more of the bro 235 00:13:34,160 --> 00:13:37,880 Speaker 4: comedy audience watching maybe a little bit more of the 236 00:13:38,000 --> 00:13:41,800 Speaker 4: centrist or even more conservative audience, not to speak of 237 00:13:42,000 --> 00:13:44,880 Speaker 4: Cam's politics, but just as far as the audience that 238 00:13:45,480 --> 00:13:47,439 Speaker 4: watches Kill Tony, I was. 239 00:13:47,400 --> 00:13:50,400 Speaker 1: Wondering if the podcast world would start to seep in there. 240 00:13:50,800 --> 00:13:53,840 Speaker 1: What's interesting now is, of course people can come up 241 00:13:53,880 --> 00:13:57,840 Speaker 1: through TikTok, through YouTube. There are so many avenues to 242 00:13:57,880 --> 00:14:01,480 Speaker 1: get your comedy out. Is doing doing this incredible show 243 00:14:01,520 --> 00:14:04,000 Speaker 1: and getting this showcase? Is it going to be limiting 244 00:14:04,080 --> 00:14:06,440 Speaker 1: to other things? What do you hear on this from 245 00:14:06,480 --> 00:14:09,880 Speaker 1: talking to professionals and talent managers in the comedy world. 246 00:14:10,280 --> 00:14:13,520 Speaker 4: So I've also talked to agents and managers who have 247 00:14:13,640 --> 00:14:16,959 Speaker 4: had clients that have turned down SNL, have been offered 248 00:14:17,160 --> 00:14:19,280 Speaker 4: to be a part of the cast and have decided 249 00:14:19,320 --> 00:14:21,040 Speaker 4: that it would be better for their careers not to 250 00:14:21,080 --> 00:14:24,560 Speaker 4: be in SNL. We are in an era where fewer 251 00:14:24,800 --> 00:14:28,600 Speaker 4: comedy movies and fewer comedy TV shows are being produced 252 00:14:28,960 --> 00:14:32,400 Speaker 4: than they were ten years ago, and so I still 253 00:14:32,440 --> 00:14:35,400 Speaker 4: believe that SNL is one of those comedy institutions that 254 00:14:35,440 --> 00:14:37,880 Speaker 4: people will tune in for every week. So it's really 255 00:14:38,000 --> 00:14:41,080 Speaker 4: just you have to weigh all of these things. With 256 00:14:41,520 --> 00:14:46,240 Speaker 4: the Internet being an instant distribution channel for all these people. 257 00:14:46,320 --> 00:14:49,120 Speaker 4: You know, you can film yourself on your iPhone and 258 00:14:49,560 --> 00:14:52,840 Speaker 4: go to directly to your audience on TikTok. SNL has 259 00:14:52,880 --> 00:14:56,200 Speaker 4: to compete with not only other studios, but they have 260 00:14:56,280 --> 00:14:59,880 Speaker 4: to compete with TikTok and Instagram and every funny person 261 00:15:00,080 --> 00:15:00,680 Speaker 4: their bedroom. 262 00:15:00,880 --> 00:15:02,960 Speaker 1: I got to believe that these last couple of weeks 263 00:15:02,960 --> 00:15:05,520 Speaker 1: for people in the comedy business, this is just like 264 00:15:06,120 --> 00:15:09,360 Speaker 1: the mad Dash of the year because the decision they 265 00:15:09,360 --> 00:15:12,160 Speaker 1: have domino effects for other people. Is this the type 266 00:15:12,160 --> 00:15:14,840 Speaker 1: of year where people are just have the phones glued 267 00:15:14,880 --> 00:15:16,360 Speaker 1: to their ears and their thumbs. 268 00:15:16,600 --> 00:15:19,960 Speaker 4: Yeah, I think because this year more cast members left 269 00:15:20,320 --> 00:15:23,720 Speaker 4: than in years prior. There was certainly more of an 270 00:15:23,720 --> 00:15:28,280 Speaker 4: opening for people. And I know that during the audition 271 00:15:28,440 --> 00:15:32,360 Speaker 4: process a lot of agents and managers were eagerly waiting 272 00:15:32,360 --> 00:15:36,320 Speaker 4: to hear about how their clients did, even just texts 273 00:15:36,360 --> 00:15:39,400 Speaker 4: that went around the town, like oh, Lauren was in 274 00:15:39,440 --> 00:15:42,360 Speaker 4: the room today, It's still a big deal you hear 275 00:15:42,480 --> 00:15:47,760 Speaker 4: these almost mythical stories about the SNL audition process. 276 00:15:48,160 --> 00:15:52,160 Speaker 1: Ethan, thank you for being one of now generations of 277 00:15:52,240 --> 00:15:54,280 Speaker 1: Variety reporters to cover SNL. 278 00:15:54,440 --> 00:15:55,840 Speaker 4: Pretty cool, Thanks, Cynthia. 279 00:15:58,520 --> 00:16:01,360 Speaker 1: As we close out today's episodisode, here's a few things 280 00:16:01,360 --> 00:16:05,400 Speaker 1: we're watching for. The Murdochs announced the settlement of the 281 00:16:05,440 --> 00:16:09,280 Speaker 1: big family fight over the family fortune. At first glance, 282 00:16:09,320 --> 00:16:12,240 Speaker 1: it looks like Lachlan Murdoch one and his siblings are 283 00:16:12,280 --> 00:16:16,880 Speaker 1: in retreat. Jesse Armstrong was so right. The family dynamics 284 00:16:16,920 --> 00:16:20,280 Speaker 1: here are the stuff of great drama. Before we go, 285 00:16:20,520 --> 00:16:24,480 Speaker 1: congrats to Christine Mana. She's joined indie film studio Bleeker 286 00:16:24,520 --> 00:16:28,800 Speaker 1: Street as executive vice president of Home Entertainment. She's previously 287 00:16:28,840 --> 00:16:33,480 Speaker 1: worked for Newline Cinema, Relativity, and STX. Thanks for listening. 288 00:16:33,760 --> 00:16:36,800 Speaker 1: This episode was written and reported by me Cynthia Littleton, 289 00:16:37,080 --> 00:16:41,000 Speaker 1: with contributions from Todd Spangler, Gene Mattis, and Ethan Schanfeld. 290 00:16:41,560 --> 00:16:45,560 Speaker 1: It was edited by Aaron Greenwald. Stick Snack's hick Picks. 291 00:16:45,920 --> 00:16:48,400 Speaker 1: Please leave us a review at the podcast platform of 292 00:16:48,440 --> 00:16:51,800 Speaker 1: your choice, and please tune in tomorrow for another episode 293 00:16:51,800 --> 00:17:00,120 Speaker 1: of Daily Variety