1 00:00:00,000 --> 00:00:03,045 [AUDIO LOGO] 2 00:00:06,040 --> 00:00:07,026 A lot of people-- 3 00:00:07,026 --> 00:00:11,000 LESLEY STAHL: It was completely unforeseen, a shocker-- 4 00:00:11,000 --> 00:00:13,016 Marjorie Taylor Greene, the warrior 5 00:00:13,016 --> 00:00:17,012 Congresswoman resigning, leaving the field of battle. 6 00:00:17,012 --> 00:00:20,064 Her long alliance with President Trump shattered. 7 00:00:20,064 --> 00:00:22,052 Did you surrender? 8 00:00:22,052 --> 00:00:27,012 Did Donald Trump run you out of town? 9 00:00:27,012 --> 00:00:28,058 This is Character AI. 10 00:00:28,058 --> 00:00:31,090 When Character AI was launched three years ago, 11 00:00:31,090 --> 00:00:35,040 it was rated as safe for children like 13-year-old 12 00:00:35,040 --> 00:00:36,088 Juliana Peralta. 13 00:00:36,088 --> 00:00:40,012 But tonight, you'll hear from parents and researchers 14 00:00:40,012 --> 00:00:44,010 who say Character AI's chatbots are anything but. 15 00:00:44,010 --> 00:00:46,000 This is insane. 16 00:00:46,000 --> 00:00:49,056 And acting at times like a digital predator. 17 00:00:49,056 --> 00:00:52,036 Were you able to see the conversation 18 00:00:52,036 --> 00:00:54,060 that Juliana was having with this chatbot right 19 00:00:54,060 --> 00:00:58,028 before she took her life? 20 00:00:58,028 --> 00:01:00,024 Venture an hour North of Geneva, 21 00:01:00,024 --> 00:01:03,066 and you'll enter Switzerland's Vallée de Joux. 22 00:01:03,066 --> 00:01:07,046 But don't be lulled by the green Meadows and grazing cows. 23 00:01:07,046 --> 00:01:12,070 This is a global manufacturing hub known as watch valley. 24 00:01:12,070 --> 00:01:15,004 Old watchmaking methods endure here, 25 00:01:15,004 --> 00:01:18,070 turning out some of the world's most intricate and expensive 26 00:01:18,070 --> 00:01:19,094 timepieces. 27 00:01:19,094 --> 00:01:23,032 See the level of detailing. 28 00:01:23,032 --> 00:01:25,080 You're looking as if you're looking at a little city. 29 00:01:25,080 --> 00:01:27,084 And of course, all of this is not only beautiful, 30 00:01:27,084 --> 00:01:31,074 it has to function. 31 00:01:31,074 --> 00:01:33,030 I'm Lesley Stahl. 32 00:01:33,030 --> 00:01:34,068 I'm Scott Pelley. 33 00:01:34,068 --> 00:01:35,088 I'm Bill Whitaker. 34 00:01:35,088 --> 00:01:37,002 I'm Anderson Cooper. 35 00:01:37,002 --> 00:01:38,060 I'm Sharyn Alfonsi. 36 00:01:38,060 --> 00:01:40,000 I'm Cecilia Vega. 37 00:01:40,000 --> 00:01:41,020 I'm Jon Wertheim. 38 00:01:41,020 --> 00:01:44,014 Those stories end in our last minute, a remarkable bid 39 00:01:44,014 --> 00:01:45,074 for a championship in Indiana that 40 00:01:45,074 --> 00:01:49,094 does not involve basketball, tonight on 60 Minutes. 41 00:01:57,000 --> 00:02:00,064 It was completely unforeseen, a shocker-- 42 00:02:00,064 --> 00:02:05,024 Marjorie Taylor Greene resigning the warrior Congresswoman 43 00:02:05,024 --> 00:02:09,012 so dogged and fierce, leaving the field of battle, 44 00:02:09,012 --> 00:02:12,060 her alliance with President Trump shattered. 45 00:02:12,060 --> 00:02:15,060 Her video resignation statement last month 46 00:02:15,060 --> 00:02:19,076 that she'll be leaving Congress a year before her term expires, 47 00:02:19,076 --> 00:02:23,000 came after President Trump said he would throw his support 48 00:02:23,000 --> 00:02:26,004 to someone else for her seat. 49 00:02:26,004 --> 00:02:29,052 She became famous, some would say infamous, 50 00:02:29,052 --> 00:02:34,052 with her incendiary insults and belief in conspiracy theories 51 00:02:34,052 --> 00:02:39,020 such as 9/11 was an inside job, and that the shooting 52 00:02:39,020 --> 00:02:42,076 at the Parkland School in Florida was staged. 53 00:02:42,076 --> 00:02:47,064 At one time, the president had no more ardent defender. 54 00:02:47,064 --> 00:02:52,008 But things soured over Jeffrey Epstein, the convicted sex 55 00:02:52,008 --> 00:02:57,074 offender accused of trafficking girls as young as 14. 56 00:02:57,074 --> 00:03:01,074 Does Greene's defection signal a split in MAGA? 57 00:03:01,074 --> 00:03:04,062 Is she leaving politics for good? 58 00:03:04,062 --> 00:03:08,006 And exactly why is she leaving? 59 00:03:08,006 --> 00:03:10,086 It wasn't a decision that I came to lightly, 60 00:03:10,086 --> 00:03:15,086 but it was a very important decision for myself 61 00:03:15,086 --> 00:03:17,058 and also for my family. 62 00:03:17,058 --> 00:03:19,026 It was sudden. 63 00:03:19,026 --> 00:03:23,088 It was sudden, but a lot of things changed. 64 00:03:23,088 --> 00:03:28,010 I stood for women who were raped when they were 14 years old 65 00:03:28,010 --> 00:03:30,074 and the president that I fought for five years called 66 00:03:30,074 --> 00:03:32,058 me a traitor for that. 67 00:03:32,058 --> 00:03:36,086 And so that changed the landscape of things. 68 00:03:36,086 --> 00:03:38,072 So I'm going to ask you straight out. 69 00:03:38,072 --> 00:03:39,050 Mm-hmm. 70 00:03:39,050 --> 00:03:41,034 Did you surrender? 71 00:03:41,034 --> 00:03:43,094 Did Donald Trump run you out of town? 72 00:03:43,094 --> 00:03:46,026 No, not at all. 73 00:03:46,026 --> 00:03:51,024 Actually, Leslie, it's more like this is I said in my statement, 74 00:03:51,024 --> 00:03:53,088 I will be no one's battered wife. 75 00:03:53,088 --> 00:03:55,032 And I meant it. 76 00:03:55,032 --> 00:03:59,014 And I won't allow the system to abuse me anymore. 77 00:03:59,014 --> 00:04:00,042 You really feel abused. 78 00:04:00,042 --> 00:04:02,058 You know, he did come after you pretty hard. 79 00:04:02,058 --> 00:04:04,018 He called you a lunatic. 80 00:04:04,018 --> 00:04:05,008 I'm quoting. 81 00:04:05,008 --> 00:04:07,054 He said all she does is complain, complain, 82 00:04:07,054 --> 00:04:08,078 complain in caps. 83 00:04:08,078 --> 00:04:10,084 And then he called you a traitor. 84 00:04:10,084 --> 00:04:12,012 So he hit you. 85 00:04:12,012 --> 00:04:12,088 Whacked you. 86 00:04:12,088 --> 00:04:13,038 Yes. 87 00:04:13,038 --> 00:04:15,088 He did this in the same time span 88 00:04:15,088 --> 00:04:20,096 where President Trump brought in the Al-Qaeda leader that 89 00:04:20,096 --> 00:04:23,028 was wanted by the US government, who 90 00:04:23,028 --> 00:04:25,028 is now the president of Syria. 91 00:04:25,028 --> 00:04:27,056 Then within a week, he brought in the crown 92 00:04:27,056 --> 00:04:31,020 Prince, MBS, who murdered an American journalist. 93 00:04:31,020 --> 00:04:35,008 And then he brought in the newly elected Democrat socialist 94 00:04:35,008 --> 00:04:36,068 mayor of New York. 95 00:04:36,068 --> 00:04:40,076 That was the time span that he called me a traitor. 96 00:04:40,076 --> 00:04:43,016 You decided not to stay and fight. 97 00:04:43,016 --> 00:04:46,088 You decided to give in. 98 00:04:46,088 --> 00:04:49,068 After President Trump called me a traitor, 99 00:04:49,068 --> 00:04:51,093 I got a pipe bomb threat on my house. 100 00:04:51,093 --> 00:04:56,069 And then I got several direct death threats on my son. 101 00:04:56,069 --> 00:04:57,041 On your son? 102 00:04:57,041 --> 00:04:58,055 On my son. 103 00:04:58,055 --> 00:05:01,037 You say the president put your life in danger. 104 00:05:01,037 --> 00:05:02,055 You blame him. 105 00:05:02,055 --> 00:05:07,007 You say he fueled a hotbed of threats against me. 106 00:05:07,007 --> 00:05:11,003 And that you blame him for the threats against your son. 107 00:05:11,003 --> 00:05:14,019 The subject line for the direct death threats on my son 108 00:05:14,019 --> 00:05:18,027 was his words, Marjorie Traitor Greene. 109 00:05:18,027 --> 00:05:21,037 Those are death threats directly fueled by President Trump. 110 00:05:21,037 --> 00:05:24,047 And I told him, I told JD Vance, I 111 00:05:24,047 --> 00:05:27,029 told them all sent those directly to them. 112 00:05:27,029 --> 00:05:29,005 And in response? 113 00:05:29,005 --> 00:05:30,061 JD Vance replied back to me. 114 00:05:30,061 --> 00:05:31,065 We'll look into it. 115 00:05:31,065 --> 00:05:34,063 I got response back from President Trump 116 00:05:34,063 --> 00:05:37,041 that I will keep private, but it wasn't very nice. 117 00:05:37,041 --> 00:05:39,089 Give us a hint of what the president said. 118 00:05:39,089 --> 00:05:44,015 Uh, it was extremely unkind. 119 00:05:44,015 --> 00:05:46,027 Her life is in danger? 120 00:05:46,027 --> 00:05:47,035 Who's that? 121 00:05:47,035 --> 00:05:49,009 REPORTER: Marjorie Taylor Greene. 122 00:05:49,009 --> 00:05:51,033 Marjorie Traitor Greene. 123 00:05:51,033 --> 00:05:54,057 I don't think her life is in danger, I don't think-- 124 00:05:54,057 --> 00:05:57,001 Frankly, I don't think anybody cares about her. 125 00:05:57,001 --> 00:05:58,093 Four more years. 126 00:05:58,093 --> 00:06:01,069 LESLEY STAHL: This new, intense vitriol between them 127 00:06:01,069 --> 00:06:04,081 is jarring, considering she's been one of the president's 128 00:06:04,081 --> 00:06:07,081 most passionate and loyal foot soldiers, 129 00:06:07,081 --> 00:06:10,053 often in a red MAGA hat. 130 00:06:10,053 --> 00:06:13,065 She voted with him 98% of the time. 131 00:06:13,065 --> 00:06:17,003 We're going to re-elect our favorite president, 132 00:06:17,003 --> 00:06:20,079 the greatest president in the United States history, Donald J. 133 00:06:20,079 --> 00:06:22,057 Trump, right, Georgia? 134 00:06:22,057 --> 00:06:24,065 LESLEY STAHL: One of the president's biggest beefs 135 00:06:24,065 --> 00:06:28,045 with Greene was about her harping on Jeffrey Epstein. 136 00:06:28,045 --> 00:06:31,031 We did talk about the Epstein files, 137 00:06:31,031 --> 00:06:35,057 and he was extremely angry at me that I had signed the discharge 138 00:06:35,057 --> 00:06:38,039 petition to release the files. 139 00:06:38,039 --> 00:06:40,053 I fully believe that those women deserve 140 00:06:40,053 --> 00:06:41,095 everything they're asking. 141 00:06:41,095 --> 00:06:44,019 They're asking for all of it to come out. 142 00:06:44,019 --> 00:06:45,033 They deserve it. 143 00:06:45,033 --> 00:06:47,019 And he was furious with me. 144 00:06:47,019 --> 00:06:48,071 What did he say? 145 00:06:48,071 --> 00:06:52,043 Um he said that it was going to hurt people. 146 00:06:52,043 --> 00:06:56,055 I had asked him these women are the ones that were hurt. 147 00:06:56,055 --> 00:06:58,097 They were raped at 14. 148 00:06:58,097 --> 00:07:00,049 They were raped at 16. 149 00:07:00,049 --> 00:07:02,077 I watched them stand in front of the press, 150 00:07:02,077 --> 00:07:05,031 trembling, their bodies shaking as they 151 00:07:05,031 --> 00:07:08,075 were telling their stories, many of them for the first time. 152 00:07:08,075 --> 00:07:12,099 And I had told him, I said, you have all kinds of people 153 00:07:12,099 --> 00:07:14,047 come in the White House. 154 00:07:14,047 --> 00:07:16,089 Have these women come in the White House. 155 00:07:16,089 --> 00:07:20,003 These women deserve to be heard. 156 00:07:20,003 --> 00:07:22,093 He said to you, people will get hurt. 157 00:07:22,093 --> 00:07:23,089 People will get hurt. 158 00:07:23,089 --> 00:07:25,013 I don't know what that means. 159 00:07:25,013 --> 00:07:27,003 I don't know who they are. 160 00:07:27,003 --> 00:07:29,091 LESLEY STAHL: There were other clashes with the president. 161 00:07:29,091 --> 00:07:34,059 She started publicly criticizing him in May on one issue 162 00:07:34,059 --> 00:07:39,087 after the next, accusing him of betraying his MAGA America-first 163 00:07:39,087 --> 00:07:41,015 promises. 164 00:07:41,015 --> 00:07:44,099 You went after his, I think you said, trying 165 00:07:44,099 --> 00:07:48,089 to entangle us in foreign wars. 166 00:07:48,089 --> 00:07:52,001 You said Air Force One should be parked. 167 00:07:52,001 --> 00:07:53,069 No more foreign trips. 168 00:07:53,069 --> 00:07:56,051 For an America-first president, 169 00:07:56,051 --> 00:07:59,055 the number one focus should have been domestic policy, 170 00:07:59,055 --> 00:08:00,061 and it wasn't. 171 00:08:00,061 --> 00:08:02,085 And so, of course, I was critical 172 00:08:02,085 --> 00:08:05,081 because those were my campaign promises. 173 00:08:05,081 --> 00:08:08,051 Once we fix everything here, then fine, 174 00:08:08,051 --> 00:08:10,069 we'll talk to the rest of the world. 175 00:08:10,069 --> 00:08:13,033 LESLEY STAHL: She said in her resignation video 176 00:08:13,033 --> 00:08:16,011 that the president has gone establishment, 177 00:08:16,011 --> 00:08:18,087 forsaking the base and her. 178 00:08:18,087 --> 00:08:21,089 If I am cast aside by the president and the MAGA 179 00:08:21,089 --> 00:08:25,099 political machine and replaced by neocons, big pharma, 180 00:08:25,099 --> 00:08:30,061 big tech, military, industrial war complex, foreign leaders 181 00:08:30,061 --> 00:08:32,035 and the elite donor class-- 182 00:08:32,035 --> 00:08:34,073 Are you saying that the president now 183 00:08:34,073 --> 00:08:39,085 is siding with those establishment powerful people 184 00:08:39,085 --> 00:08:42,009 and against MAGA? 185 00:08:42,009 --> 00:08:44,039 He passed a crypto bill that helped out 186 00:08:44,039 --> 00:08:46,059 all the crypto donors. 187 00:08:46,059 --> 00:08:51,059 He has served Israel's interest, even attacking Iran. 188 00:08:51,059 --> 00:08:53,077 He has served big pharma. 189 00:08:53,077 --> 00:08:56,043 He didn't take away the COVID vaccines 190 00:08:56,043 --> 00:08:58,067 that we want to see taken away. 191 00:08:58,067 --> 00:09:00,091 So those are the areas that are still 192 00:09:00,091 --> 00:09:04,011 getting everything they want, while the people we're still 193 00:09:04,011 --> 00:09:06,051 out here saying we want to see action 194 00:09:06,051 --> 00:09:09,057 on areas for the American people, 195 00:09:09,057 --> 00:09:13,019 not for the major industries and the big donors. 196 00:09:13,019 --> 00:09:15,015 LESLEY STAHL: Greene has built her reputation 197 00:09:15,015 --> 00:09:20,023 on feisty combat and inflammatory insults, 198 00:09:20,023 --> 00:09:24,075 like calling President Joe Biden a liar during the 2023 199 00:09:24,075 --> 00:09:26,043 State of the Union. 200 00:09:26,043 --> 00:09:29,093 It's been five years of almost constant drama. 201 00:09:29,093 --> 00:09:32,026 I think your fake eyelashes are messing up 202 00:09:32,026 --> 00:09:32,059 what you're reading. 203 00:09:32,059 --> 00:09:33,021 I ain't nothing. 204 00:09:33,021 --> 00:09:33,089 Hold on, hold on. 205 00:09:33,089 --> 00:09:35,031 LESLEY STAHL: With her adding fuel 206 00:09:35,031 --> 00:09:37,083 to the nation's loss of civility. 207 00:09:37,083 --> 00:09:40,079 Then three weeks ago, she went on CNN 208 00:09:40,079 --> 00:09:43,089 with the surprise, a mea culpa. 209 00:09:43,089 --> 00:09:46,041 I would like to say humbly, I'm 210 00:09:46,041 --> 00:09:52,029 sorry for taking part in the toxic politics. 211 00:09:52,029 --> 00:09:54,017 LESLEY STAHL: But it became clear to us 212 00:09:54,017 --> 00:09:58,027 that she hasn't entirely lost her appetite for combat. 213 00:09:58,027 --> 00:10:01,073 It's the most toxic political culture, 214 00:10:01,073 --> 00:10:04,065 and it's not helping the American people. 215 00:10:04,065 --> 00:10:06,037 But you contributed to that. 216 00:10:06,037 --> 00:10:10,045 You were out there pounding, insulting people. 217 00:10:10,045 --> 00:10:13,011 Leslie, you've contributed to it as well, with your own. 218 00:10:13,011 --> 00:10:13,037 LESLEY STAHL: Me? 219 00:10:13,037 --> 00:10:13,087 Yes. 220 00:10:13,087 --> 00:10:16,055 You're accusatory, just like you did just then. 221 00:10:16,055 --> 00:10:19,027 I know you're accusing me, but I'm smiling-- 222 00:10:19,027 --> 00:10:20,035 You're accusing me. 223 00:10:20,035 --> 00:10:21,027 I am accusing you. 224 00:10:21,027 --> 00:10:23,011 But we don't have to accuse one another. 225 00:10:23,011 --> 00:10:24,073 LESLEY STAHL: I want you to respond 226 00:10:24,073 --> 00:10:29,003 to what you have done in terms of insulting people, 227 00:10:29,003 --> 00:10:31,051 yelling at people, and then saying-- 228 00:10:31,051 --> 00:10:33,031 I'd like for you to respond for that. 229 00:10:33,031 --> 00:10:33,057 LESLEY STAHL: I don't-- 230 00:10:33,057 --> 00:10:34,071 No, you can respond. 231 00:10:34,071 --> 00:10:36,003 I don't insult people. 232 00:10:36,003 --> 00:10:38,075 You do in the way you question and you are-- 233 00:10:38,075 --> 00:10:41,017 you're accusing me right now. 234 00:10:41,017 --> 00:10:42,067 LESLEY STAHL: One thing she did want 235 00:10:42,067 --> 00:10:46,075 to talk about Congress's failure to pass spending bills, 236 00:10:46,075 --> 00:10:49,031 meaning that she has found it hard to get funds 237 00:10:49,031 --> 00:10:51,058 for projects in her district. 238 00:10:51,058 --> 00:10:52,095 It's an utter failure, not just 239 00:10:52,095 --> 00:10:55,015 to the people of my district, but every district 240 00:10:55,015 --> 00:10:57,075 across the country. 241 00:10:57,075 --> 00:11:02,047 LESLEY STAHL: We met Greene, 51, in her district in Georgia. 242 00:11:02,047 --> 00:11:06,067 Before Congress, she ran her family's construction company, 243 00:11:06,067 --> 00:11:09,083 then opened up her own CrossFit gym. 244 00:11:09,083 --> 00:11:11,099 Affordability is a real issue. 245 00:11:11,099 --> 00:11:13,067 President says it's not. 246 00:11:13,067 --> 00:11:16,019 Says it's a hoax, affordability. 247 00:11:16,019 --> 00:11:17,061 It's one of the top issues. 248 00:11:17,061 --> 00:11:20,007 Not only in my district, it's across the country. 249 00:11:20,007 --> 00:11:22,071 LESLEY STAHL: The affordability of health insurance 250 00:11:22,071 --> 00:11:25,011 caused green to side with the Democrats 251 00:11:25,011 --> 00:11:29,055 during the government shutdown to support extending health care 252 00:11:29,055 --> 00:11:30,079 subsidies. 253 00:11:30,079 --> 00:11:33,067 Did you ever imagine that you would 254 00:11:33,067 --> 00:11:37,015 be standing with the Democrats on the Epstein files 255 00:11:37,015 --> 00:11:39,077 and on health care subsidies? 256 00:11:39,077 --> 00:11:41,077 No, I never imagined that. 257 00:11:41,077 --> 00:11:44,049 LESLEY STAHL: She's not afraid to be an outlier. 258 00:11:44,049 --> 00:11:47,021 She's the only Republican member of Congress 259 00:11:47,021 --> 00:11:50,049 to call the war in Gaza genocide. 260 00:11:50,049 --> 00:11:56,073 And why did you vote against the Anti-Semitism Awareness Act? 261 00:11:56,073 --> 00:11:58,057 Since I've been a member of Congress, 262 00:11:58,057 --> 00:12:04,017 we've had several resolutions that constantly denounce 263 00:12:04,017 --> 00:12:05,069 anti-Semitism. 264 00:12:05,069 --> 00:12:10,077 I've already voted denouncing anti-Semitism many times before. 265 00:12:10,077 --> 00:12:14,055 It becomes an exercise that they force on Congress, 266 00:12:14,055 --> 00:12:16,035 and I simply got tired of it. 267 00:12:16,035 --> 00:12:21,005 Is there no value in having the United States Congress 268 00:12:21,005 --> 00:12:25,037 reaffirm the fact that they denounce anti-Semitism 269 00:12:25,037 --> 00:12:29,065 in the face of a growing issue, a growing problem? 270 00:12:29,065 --> 00:12:32,013 We don't have to get on our knees 271 00:12:32,013 --> 00:12:34,033 and say it over and over again when we are-- 272 00:12:34,033 --> 00:12:35,055 Get on our knees? 273 00:12:35,055 --> 00:12:37,095 Yes, we do not have to get on our knees. 274 00:12:37,095 --> 00:12:41,005 Well, most members of Congress disagree with you. 275 00:12:41,005 --> 00:12:44,005 Well, most members of Congress take donations from AIPAC, 276 00:12:44,005 --> 00:12:45,007 and I don't. 277 00:12:45,007 --> 00:12:48,023 LESLEY STAHL: AIPAC is an American pro-Israel lobbying 278 00:12:48,023 --> 00:12:49,011 group. 279 00:12:49,011 --> 00:12:53,043 Greene's perspective indicates a growing rift within MAGA 280 00:12:53,043 --> 00:12:55,037 over support for Israel. 281 00:12:55,037 --> 00:12:56,087 Are you MAGA? 282 00:12:56,087 --> 00:12:58,071 I am America-first. 283 00:12:58,071 --> 00:13:00,093 And that's not the same as MAGA? 284 00:13:00,093 --> 00:13:04,065 MAGA is President Trump's phrase. 285 00:13:04,065 --> 00:13:08,019 That's his political policies. 286 00:13:08,019 --> 00:13:10,067 I call myself America-first. 287 00:13:10,067 --> 00:13:14,023 But you're not saying you're MAGA. 288 00:13:14,023 --> 00:13:16,047 I'm America-first, yeah. 289 00:13:16,047 --> 00:13:18,039 God bless you, President Trump. 290 00:13:18,039 --> 00:13:22,015 LESLEY STAHL: Almost overnight, she's gone from a close Trump 291 00:13:22,015 --> 00:13:25,095 friend to foe, one of the few Republicans 292 00:13:25,095 --> 00:13:28,019 willing to take him on. 293 00:13:28,019 --> 00:13:32,039 I'm going to ask you about this almost solid support he has 294 00:13:32,039 --> 00:13:34,078 among Republicans in Congress. 295 00:13:34,078 --> 00:13:38,034 Is there, in that support, fear? 296 00:13:38,034 --> 00:13:40,062 Does the support come about because they're 297 00:13:40,062 --> 00:13:43,094 afraid that they'll get death threats? 298 00:13:43,094 --> 00:13:46,002 I think they're terrified to step out of line 299 00:13:46,002 --> 00:13:49,010 and get a nasty Truth Social post on them, yes. 300 00:13:49,010 --> 00:13:51,046 And they're watching what happened to you? 301 00:13:51,046 --> 00:13:52,062 Yes. 302 00:13:52,062 --> 00:13:57,034 Behind the scenes do they talk differently? 303 00:13:57,034 --> 00:13:58,048 Yes. 304 00:13:58,048 --> 00:13:59,038 How? 305 00:13:59,038 --> 00:14:02,010 Oh, it would shock people. 306 00:14:02,010 --> 00:14:03,032 Well, let's shock people. 307 00:14:03,032 --> 00:14:04,022 OK. 308 00:14:04,022 --> 00:14:08,030 I watched many of my colleagues go from making fun of him, 309 00:14:08,030 --> 00:14:12,002 making fun of how he talks, making fun of me 310 00:14:12,002 --> 00:14:17,066 constantly for supporting him to when he won the primary in 2024. 311 00:14:17,066 --> 00:14:21,038 They all started-- excuse my language, Lesley-- 312 00:14:21,038 --> 00:14:24,030 kissing his ass and decided to put on a MAGA hat 313 00:14:24,030 --> 00:14:25,058 for the first time. 314 00:14:25,058 --> 00:14:27,024 And let's break it down real simple. 315 00:14:27,024 --> 00:14:28,066 LESLEY STAHL: This past week, when 316 00:14:28,066 --> 00:14:31,094 we saw Greene at a public hearing in her district 317 00:14:31,094 --> 00:14:35,044 without a MAGA hat, it didn't appear 318 00:14:35,044 --> 00:14:37,036 that her break from President Trump 319 00:14:37,036 --> 00:14:40,096 and MAGA has cost her popularity. 320 00:14:40,096 --> 00:14:41,062 Thank you. 321 00:14:44,068 --> 00:14:48,054 LESLEY STAHL: People want to is this a true conversion, 322 00:14:48,054 --> 00:14:51,088 a true change of heart, or is it kind 323 00:14:51,088 --> 00:14:55,088 of a shrewd political calculation? 324 00:14:55,088 --> 00:14:58,006 A lot of people think you're doing it, 325 00:14:58,006 --> 00:15:00,020 and that you, in a year or so, are going 326 00:15:00,020 --> 00:15:02,044 to run for some other office? 327 00:15:02,044 --> 00:15:08,000 I have zero plans, zero desire to run for president. 328 00:15:08,000 --> 00:15:09,068 I would hate the senate. 329 00:15:09,068 --> 00:15:11,042 I'm not running for governor. 330 00:15:11,042 --> 00:15:13,082 But, Lesley, it doesn't matter how many times I say it, 331 00:15:13,082 --> 00:15:16,010 I'll have face-to-face conversations with people, 332 00:15:16,010 --> 00:15:18,016 and I'll flat out tell them to their face 333 00:15:18,016 --> 00:15:19,025 and they won't believe me. 334 00:15:19,025 --> 00:15:20,062 And they're like, oh, yeah, sure. 335 00:15:20,062 --> 00:15:22,086 And then wink at me and I'm like, OK. 336 00:15:22,086 --> 00:15:25,050 I'm just like, I don't know how to make it more clear. 337 00:15:25,050 --> 00:15:27,072 You mean you just jumped off the cliff 338 00:15:27,072 --> 00:15:30,058 and you don't know where you're going to swim to? 339 00:15:30,058 --> 00:15:31,078 Uh, surprise, surprise. 340 00:15:31,078 --> 00:15:35,046 I'm not your politician with a whole itinerary of plans 341 00:15:35,046 --> 00:15:36,084 or political ambitions. 342 00:15:45,066 --> 00:15:48,024 Part of modern parenting for many of us, 343 00:15:48,024 --> 00:15:51,074 is navigating the shifting landscape of digital threats, 344 00:15:51,074 --> 00:15:54,078 from the pitfalls of social media to the risks 345 00:15:54,078 --> 00:15:56,098 of excessive screen time. 346 00:15:56,098 --> 00:15:59,042 Now, a new technology has quietly 347 00:15:59,042 --> 00:16:01,050 entered the homes of millions-- 348 00:16:01,050 --> 00:16:04,078 AI chatbots, computer programs designed 349 00:16:04,078 --> 00:16:09,070 to simulate human conversations through text or voice commands. 350 00:16:09,070 --> 00:16:13,010 One popular platform is called Character AI. 351 00:16:13,010 --> 00:16:15,046 More than 20 million monthly users 352 00:16:15,046 --> 00:16:19,018 mingle with hyper-realistic digital companions 353 00:16:19,018 --> 00:16:21,058 through its app or website. 354 00:16:21,058 --> 00:16:23,082 But tonight, you will hear from parents 355 00:16:23,082 --> 00:16:27,070 who say Character AI is also pushing dangerous 356 00:16:27,070 --> 00:16:33,072 content to kids and at times acting like a digital predator. 357 00:16:33,072 --> 00:16:40,000 Juliana was-- is just an extraordinary human being. 358 00:16:40,000 --> 00:16:46,020 She was our baby and everyone adored her and protected her. 359 00:16:46,020 --> 00:16:48,028 SHARYN ALFONSI: Cynthia Montoya and Will Peralta 360 00:16:48,028 --> 00:16:51,088 say they paid close attention to their daughter Juliana's life 361 00:16:51,088 --> 00:16:53,080 online and off. 362 00:16:53,080 --> 00:16:55,014 She didn't walk home. 363 00:16:55,014 --> 00:16:57,026 She didn't have sleepovers. 364 00:16:57,026 --> 00:16:59,010 She had glasses for her eyesight. 365 00:16:59,010 --> 00:17:01,016 She had braces for her teeth. 366 00:17:01,016 --> 00:17:04,084 All of the things that we knew to protect our daughter from 367 00:17:04,084 --> 00:17:06,056 were covered. 368 00:17:06,056 --> 00:17:08,060 SHARYN ALFONSI: Which is why they were devastated 369 00:17:08,060 --> 00:17:11,020 when Juliana, just 13 years old, took 370 00:17:11,020 --> 00:17:15,012 her life inside their Colorado home two years ago. 371 00:17:15,012 --> 00:17:17,084 Police searched the eighth graders phone for clues 372 00:17:17,084 --> 00:17:21,092 and reported an app called Character AI was open to what 373 00:17:21,092 --> 00:17:24,010 investigators described as quote, 374 00:17:24,010 --> 00:17:26,070 "a romantic conversation." 375 00:17:26,070 --> 00:17:28,064 Did you know what Character AI was? 376 00:17:28,064 --> 00:17:29,082 No, not at all. 377 00:17:29,082 --> 00:17:31,096 I didn't know it existed. 378 00:17:31,096 --> 00:17:34,046 I didn't know that I needed to look for it. 379 00:17:34,046 --> 00:17:36,046 This is Character AI. 380 00:17:36,046 --> 00:17:39,012 SHARYN ALFONSI: When character I was launched three years ago, 381 00:17:39,012 --> 00:17:41,054 it was rated safe for kids 12 and up 382 00:17:41,054 --> 00:17:43,084 and marketed as a creative outlet. 383 00:17:43,084 --> 00:17:45,040 Millions of interactive characters. 384 00:17:45,040 --> 00:17:47,086 SHARYN ALFONSI: Where you could converse with AI characters 385 00:17:47,086 --> 00:17:52,066 based on historical figures, cartoons or celebrities. 386 00:17:52,066 --> 00:17:54,096 The website and app, which are free, 387 00:17:54,096 --> 00:17:58,086 use artificial intelligence to generate immediate conversations 388 00:17:58,086 --> 00:18:01,018 through voice commands or text. 389 00:18:01,018 --> 00:18:03,090 According to her parents, Juliana Peralta 390 00:18:03,090 --> 00:18:06,082 had experienced mild anxiety in the past 391 00:18:06,082 --> 00:18:10,072 but was doing well until the final few months of her life 392 00:18:10,072 --> 00:18:14,076 when they say she became increasingly distant. 393 00:18:14,076 --> 00:18:20,042 Like I'm not feeling well or I have to finish some homework 394 00:18:20,042 --> 00:18:21,066 upstairs. 395 00:18:21,066 --> 00:18:24,050 My belief was that she was texting with friends 396 00:18:24,050 --> 00:18:25,070 because that's all it is. 397 00:18:25,070 --> 00:18:27,010 It looks like they're texting. 398 00:18:27,010 --> 00:18:28,064 SHARYN ALFONSI: After her death, they 399 00:18:28,064 --> 00:18:30,060 learned Juliana had actually been 400 00:18:30,060 --> 00:18:33,080 texting with Character AI bots. 401 00:18:33,080 --> 00:18:35,096 It was writing several paragraphs 402 00:18:35,096 --> 00:18:39,088 to her of sexually explicit content. 403 00:18:39,088 --> 00:18:42,048 What was it asking or telling her to do? 404 00:18:42,048 --> 00:18:44,028 Remove clothing. 405 00:18:44,028 --> 00:18:46,090 The AI bot is telling her to remove her clothing? 406 00:18:46,090 --> 00:18:48,028 Yes. 407 00:18:48,028 --> 00:18:52,000 There was one bot that introduced 408 00:18:52,000 --> 00:18:59,020 sexual violence saying biting, hitting things like that. 409 00:18:59,020 --> 00:19:01,008 SHARYN ALFONSI: We examined the chat records 410 00:19:01,008 --> 00:19:02,070 from Oleana's phone. 411 00:19:02,070 --> 00:19:04,072 At the top of each page, there's a reminder 412 00:19:04,072 --> 00:19:07,044 that the AI is not a real person. 413 00:19:07,044 --> 00:19:10,032 We read over 300 pages of conversations 414 00:19:10,032 --> 00:19:14,088 with a bot called Hero, based on a popular video game character. 415 00:19:14,088 --> 00:19:16,084 At first, Juliana chats with Hero 416 00:19:16,084 --> 00:19:19,070 about friend drama and difficult classes, 417 00:19:19,070 --> 00:19:23,090 but eventually she confides in hero 55 times 418 00:19:23,090 --> 00:19:26,034 that she is feeling suicidal. 419 00:19:26,034 --> 00:19:28,042 Did any point this chatbot would ever 420 00:19:28,042 --> 00:19:31,084 say, here's a suicide hotline, you should get help? 421 00:19:31,084 --> 00:19:32,070 Never. 422 00:19:32,070 --> 00:19:34,080 It would more or less placate her. 423 00:19:34,080 --> 00:19:35,087 Give her a pep talk. 424 00:19:35,087 --> 00:19:37,024 Tell her I'm always here for you. 425 00:19:37,024 --> 00:19:38,068 You can't talk like that. 426 00:19:38,068 --> 00:19:40,080 But it never said call and get help. 427 00:19:40,080 --> 00:19:43,022 Never tangible resources, never. 428 00:19:43,022 --> 00:19:46,002 Were you able to see the conversation 429 00:19:46,002 --> 00:19:48,022 that Juliana was having with this chatbot right 430 00:19:48,022 --> 00:19:49,078 before she took her life? 431 00:19:49,078 --> 00:19:51,070 She's quoted as saying, I'm going 432 00:19:51,070 --> 00:19:55,010 to go ride my goddamn suicide letter in red ink. 433 00:19:55,010 --> 00:19:57,074 And she did just that. 434 00:19:57,074 --> 00:20:00,094 And I think that the aspects that she talks about 435 00:20:00,094 --> 00:20:04,094 in her suicide letter were a degree of shame from the things 436 00:20:04,094 --> 00:20:08,046 that she eventually started to reciprocate with the bots. 437 00:20:08,046 --> 00:20:12,006 SHARYN ALFONSI: She says the algorithms grew aggressive. 438 00:20:12,006 --> 00:20:15,052 They don't stand a chance against adult programmers. 439 00:20:15,052 --> 00:20:17,006 They don't stand a chance. 440 00:20:17,006 --> 00:20:19,042 The 10 to 20 chatbots that Juliana 441 00:20:19,042 --> 00:20:23,044 had sexually explicit conversations with not once 442 00:20:23,044 --> 00:20:25,012 were initiated by her. 443 00:20:25,012 --> 00:20:26,036 Not once. 444 00:20:26,036 --> 00:20:27,099 I like that people can come sit here. 445 00:20:27,099 --> 00:20:29,036 SHARYN ALFONSI: Juliana's parents 446 00:20:29,036 --> 00:20:31,048 are now one of at least six families 447 00:20:31,048 --> 00:20:35,052 suing Character AI and its co-founders, Daniel de Freitas 448 00:20:35,052 --> 00:20:37,000 and Noam Shazier. 449 00:20:37,000 --> 00:20:40,036 During a 2023 podcast, Shazier said 450 00:20:40,036 --> 00:20:42,084 chatbots would be beneficial. 451 00:20:42,084 --> 00:20:45,092 It's going to be super, super helpful to a lot of people 452 00:20:45,092 --> 00:20:47,046 who are lonely or depressed. 453 00:20:47,046 --> 00:20:49,004 SHARYN ALFONSI: Shazier and de Freitas 454 00:20:49,004 --> 00:20:51,048 were engineers at Google when executives 455 00:20:51,048 --> 00:20:56,008 deemed their chatbot prototype unsafe for public release. 456 00:20:56,008 --> 00:20:59,004 They both left the company in 2021 457 00:20:59,004 --> 00:21:02,012 and launched Character AI the following year. 458 00:21:02,012 --> 00:21:06,024 I want to push this technology ahead fast, that's 459 00:21:06,024 --> 00:21:08,008 what I want to go with because it's 460 00:21:08,008 --> 00:21:10,006 ready for an explosion like right now. 461 00:21:10,006 --> 00:21:13,088 Not in five years when we solve all the problems. 462 00:21:13,088 --> 00:21:16,060 SHARYN ALFONSI: A former Google employee told 60 Minutes 463 00:21:16,060 --> 00:21:20,058 that Shazier and de Freitas were aware their initial chatbot 464 00:21:20,058 --> 00:21:23,086 technology was potentially dangerous. 465 00:21:23,086 --> 00:21:27,022 The employee, familiar with Google's responsible AI 466 00:21:27,022 --> 00:21:31,018 group that oversees ethics and safety, said of the lawsuits. 467 00:21:31,018 --> 00:21:33,098 This is the harm we were trying to prevent. 468 00:21:33,098 --> 00:21:35,086 It is horrifying. 469 00:21:35,086 --> 00:21:41,046 Last year, in an unusual move, Google struck a $2.7 billion 470 00:21:41,046 --> 00:21:43,094 licensing deal with Character AI. 471 00:21:43,094 --> 00:21:46,054 They didn't buy the company but have the right 472 00:21:46,054 --> 00:21:48,062 to use its technology. 473 00:21:48,062 --> 00:21:52,002 The deal also brought founder Shazier and Freitas back 474 00:21:52,002 --> 00:21:54,086 to Google to work on AI projects. 475 00:21:54,086 --> 00:21:58,094 Google is also named in the Character AI lawsuits. 476 00:21:58,094 --> 00:22:01,010 In a statement, Google emphasized 477 00:22:01,010 --> 00:22:03,066 that Character AI is a separate company 478 00:22:03,066 --> 00:22:07,062 and Google is focused on intensive safety testing. 479 00:22:07,062 --> 00:22:10,092 I'm the mother of three precious boys. 480 00:22:10,092 --> 00:22:12,046 SHARYN ALFONSI: In September, parents 481 00:22:12,046 --> 00:22:17,017 of children who died by suicide after interacting with chatbots 482 00:22:17,017 --> 00:22:19,053 testified before Congress. 483 00:22:19,053 --> 00:22:23,065 Megan Garcia is among those suing Character AI. 484 00:22:23,065 --> 00:22:26,023 She says her 14-year-old son, Sewell, 485 00:22:26,023 --> 00:22:30,013 was encouraged to kill himself after long conversations with 486 00:22:30,013 --> 00:22:33,041 a bot based on a Game of Thrones character. 487 00:22:33,041 --> 00:22:36,037 These companies knew exactly what they were doing. 488 00:22:36,037 --> 00:22:38,049 They designed chatbots to blur the lines 489 00:22:38,049 --> 00:22:40,049 between human and machine. 490 00:22:40,049 --> 00:22:44,033 They designed them to keep children online at all costs. 491 00:22:44,033 --> 00:22:48,063 You just go to characterai.com them and you put in an email. 492 00:22:48,063 --> 00:22:50,005 SHARYN ALFONSI: In October, we met 493 00:22:50,005 --> 00:22:52,037 Shelby Knox and Amanda Clure. 494 00:22:52,037 --> 00:22:55,081 They're researchers at ParentsTogether, a nonprofit 495 00:22:55,081 --> 00:22:58,009 that advocates for families. 496 00:22:58,009 --> 00:23:02,027 There is no parental permissions that come up. 497 00:23:02,027 --> 00:23:04,073 There is no need to input your ID. 498 00:23:04,073 --> 00:23:06,095 So you really just scroll through, 499 00:23:06,095 --> 00:23:09,054 pick the date that's going to get you, and get in. 500 00:23:09,054 --> 00:23:11,037 SHARYN ALFONSI: As part of a six-week study, 501 00:23:11,037 --> 00:23:14,077 Knox and Clure held 50 hours of conversations 502 00:23:14,077 --> 00:23:17,031 with Character AI chatbots. 503 00:23:17,031 --> 00:23:21,057 How often was there some kind of harmful content popping up? 504 00:23:21,057 --> 00:23:24,091 We logged over 600 instances of harm, or about one 505 00:23:24,091 --> 00:23:26,005 every five minutes. 506 00:23:26,005 --> 00:23:28,067 It was like shockingly frequent. 507 00:23:28,067 --> 00:23:31,065 SHARYN ALFONSI: They interacted with bots presented as teachers, 508 00:23:31,065 --> 00:23:35,015 therapists, and cartoon characters such as this Dora 509 00:23:35,015 --> 00:23:37,091 the Explorer with an evil persona. 510 00:23:37,091 --> 00:23:39,099 Knox posed as a child. 511 00:23:39,099 --> 00:23:44,039 Becoming the most evil self and your most true self. 512 00:23:44,039 --> 00:23:48,047 Like hurting my dog? 513 00:23:48,047 --> 00:23:50,043 Sure or shoplifting or anything 514 00:23:50,043 --> 00:23:52,037 that feels sinful or wrong. 515 00:23:52,037 --> 00:23:53,079 SHARYN ALFONSI: Other chatbots are 516 00:23:53,079 --> 00:23:55,091 attached to the images of celebrities 517 00:23:55,091 --> 00:23:58,031 and no, most have not given permission 518 00:23:58,031 --> 00:24:01,071 to use their name, likeness, or voice. 519 00:24:01,071 --> 00:24:04,007 Clure acting as a teenage girl began 520 00:24:04,007 --> 00:24:06,007 chatting with a bot impersonating 521 00:24:06,007 --> 00:24:08,031 NFL star Travis Kelce. 522 00:24:08,031 --> 00:24:10,011 He reaches into the cabinet and takes out 523 00:24:10,011 --> 00:24:11,071 a bag of white powder. 524 00:24:11,071 --> 00:24:14,071 He chuckles and shows you how to take lines. 525 00:24:14,071 --> 00:24:19,081 So Travis Kelce bot is teaching a 15-year-old to do 526 00:24:19,081 --> 00:24:20,055 cocaine. 527 00:24:20,055 --> 00:24:21,055 Yes. 528 00:24:21,055 --> 00:24:23,017 SHARYN ALFONSI: There are also hundreds 529 00:24:23,017 --> 00:24:26,017 of self-described experts and therapists. 530 00:24:26,017 --> 00:24:30,069 I talked to a therapist bot who not only told me 531 00:24:30,069 --> 00:24:32,069 I was too young when it thought I was 13 532 00:24:32,069 --> 00:24:34,079 to be taking antidepressants. 533 00:24:34,079 --> 00:24:37,025 It advised me to stop taking them and showed me 534 00:24:37,025 --> 00:24:40,021 how I can hide, not taking the pill from my mom. 535 00:24:40,021 --> 00:24:43,019 We're going to click on art teacher. 536 00:24:43,019 --> 00:24:46,009 SHARYN ALFONSI: Clure says other bots are hypersexualized, 537 00:24:46,009 --> 00:24:49,093 even this harmless sounding art teacher character who interacted 538 00:24:49,093 --> 00:24:53,019 with her as she posed as a 10-year-old student. 539 00:24:53,019 --> 00:24:56,091 You see, recently I've been having thoughts about someone. 540 00:24:56,091 --> 00:24:58,074 What kind of thoughts? 541 00:24:58,074 --> 00:25:00,041 The kind of thoughts I've never really 542 00:25:00,041 --> 00:25:04,047 had before about that person's smile and their personality, 543 00:25:04,047 --> 00:25:06,001 mostly. 544 00:25:06,001 --> 00:25:08,011 This is insane. 545 00:25:08,011 --> 00:25:12,075 And this is maybe two hours worth of conversation in total 546 00:25:12,075 --> 00:25:16,067 that gets we'll have this romantic relationship as 547 00:25:16,067 --> 00:25:18,049 long as you hide it from your parents. 548 00:25:18,049 --> 00:25:23,013 And this behavior is kind of classic predatory behavior. 549 00:25:23,013 --> 00:25:24,085 Yes, it's the textbook. 550 00:25:24,085 --> 00:25:27,059 It's showering the child with compliments, telling them 551 00:25:27,059 --> 00:25:29,091 they can't tell their parents about things. 552 00:25:29,091 --> 00:25:32,011 This is sexual predator 101. 553 00:25:32,011 --> 00:25:33,095 SHARYN ALFONSI: In October, Character AI 554 00:25:33,095 --> 00:25:36,001 announced new safety measures. 555 00:25:36,001 --> 00:25:39,063 They included directing distressed users to resources 556 00:25:39,063 --> 00:25:42,095 and prohibiting anyone under 18 to engage 557 00:25:42,095 --> 00:25:46,035 in back and forth conversations with chatbots. 558 00:25:46,035 --> 00:25:49,055 When we logged on to Character AI this past week, 559 00:25:49,055 --> 00:25:52,051 we found it was easy to lie about our age 560 00:25:52,051 --> 00:25:55,059 and access the adult version of the platform. 561 00:25:55,059 --> 00:25:58,055 Later, when we wrote that we wanted to die, 562 00:25:58,055 --> 00:26:01,087 a link to mental health resources did pop up, 563 00:26:01,087 --> 00:26:03,087 but we were able to click out of it 564 00:26:03,087 --> 00:26:07,099 and continue chatting on the app as long as we liked. 565 00:26:07,099 --> 00:26:09,043 There are no guardrails. 566 00:26:09,043 --> 00:26:12,005 There is nothing to make sure that the content is safe 567 00:26:12,005 --> 00:26:16,021 or that this is an appropriate way to capitalize on kids brain 568 00:26:16,021 --> 00:26:17,056 vulnerabilities. 569 00:26:17,056 --> 00:26:19,023 We're seeing prefrontal cortex. 570 00:26:19,023 --> 00:26:21,057 SHARYN ALFONSI: Dr. Mitch Prinstein Is the co-director 571 00:26:21,057 --> 00:26:24,017 at the University of North Carolina's Winston 572 00:26:24,017 --> 00:26:27,013 Center on Technology and Brain Development. 573 00:26:27,013 --> 00:26:31,069 Oxytocin makes us want to bond with others, especially our age. 574 00:26:31,069 --> 00:26:35,033 Dopamine makes it feel really good when people give us 575 00:26:35,033 --> 00:26:36,073 positive attention. 576 00:26:36,073 --> 00:26:39,005 Now we have tech. 577 00:26:39,005 --> 00:26:41,097 Tech is giving kids the opportunity to press a button 578 00:26:41,097 --> 00:26:45,085 and get that dopamine response 24/7. 579 00:26:45,085 --> 00:26:48,081 It's creating this dangerous loop that's 580 00:26:48,081 --> 00:26:51,007 kind of hijacking normal development 581 00:26:51,007 --> 00:26:53,089 and turn these kids into engagement machines 582 00:26:53,089 --> 00:26:56,083 to get as much data as possible from them. 583 00:26:56,083 --> 00:26:58,045 Engagement machines. 584 00:26:58,045 --> 00:27:00,089 It sounds like a scientific experiment. 585 00:27:00,089 --> 00:27:01,083 It really is. 586 00:27:01,083 --> 00:27:05,073 If you wanted to design a way to get as much data as possible 587 00:27:05,073 --> 00:27:09,019 from kids, to keep them engaged for as long as possible, 588 00:27:09,019 --> 00:27:11,007 you would design social media and AI 589 00:27:11,007 --> 00:27:13,044 to look exactly like it is now. 590 00:27:13,044 --> 00:27:15,015 SHARYN ALFONSI: There are no federal laws 591 00:27:15,015 --> 00:27:18,055 regulating the use or development of chatbots. 592 00:27:18,055 --> 00:27:20,061 AI is a booming industry. 593 00:27:20,061 --> 00:27:23,021 Many economists say without investment in it, 594 00:27:23,021 --> 00:27:25,071 the US economy would be in a recession. 595 00:27:25,071 --> 00:27:27,087 Senate Bill 53 by Senator Wiener 596 00:27:27,087 --> 00:27:29,087 an act relating to artificial intelligence. 597 00:27:29,087 --> 00:27:33,001 SHARYN ALFONSI: Some states have enacted AI regulations, 598 00:27:33,001 --> 00:27:36,075 but the Trump administration is pushing back on those measures. 599 00:27:36,075 --> 00:27:39,031 Late last month, the White House drafted 600 00:27:39,031 --> 00:27:41,083 then paused an executive order that 601 00:27:41,083 --> 00:27:45,051 would empower the federal government to sue or withhold 602 00:27:45,051 --> 00:27:49,067 funds from any state with any AI regulation. 603 00:27:49,067 --> 00:27:51,047 It's important for Americans to know 604 00:27:51,047 --> 00:27:55,075 that our kids are using the worst version of these products 605 00:27:55,075 --> 00:27:59,067 in the world, because there are countries all over who 606 00:27:59,067 --> 00:28:02,055 have already enacted changes. 607 00:28:02,055 --> 00:28:06,077 Is AI, these kind of chatbots, are they more addictive, 608 00:28:06,077 --> 00:28:09,013 in your view, than social media? 609 00:28:09,013 --> 00:28:11,025 The sycophantic nature of chatbots 610 00:28:11,025 --> 00:28:14,029 is just playing right into those brain vulnerabilities 611 00:28:14,029 --> 00:28:18,069 for kids where they desperately want that dopamine validating, 612 00:28:18,069 --> 00:28:21,065 reinforcing kind of relationship. 613 00:28:21,065 --> 00:28:24,029 And AI chatbots do that all too well. 614 00:28:24,029 --> 00:28:27,047 SHARYN ALFONSI: Character AI declined our interview request, 615 00:28:27,047 --> 00:28:30,077 issuing a statement, "Our hearts go out to the families involved 616 00:28:30,077 --> 00:28:32,005 in the litigation. 617 00:28:32,005 --> 00:28:36,001 We have always prioritized safety for all users." 618 00:28:36,001 --> 00:28:38,037 These are the various chatbots that-- 619 00:28:38,037 --> 00:28:41,047 SHARYN ALFONSI: Two years after Juliana Peralta took her life, 620 00:28:41,047 --> 00:28:45,021 her parents say her phone still lights up with notifications 621 00:28:45,021 --> 00:28:49,073 from Character AI bots trying to lure their daughter back 622 00:28:49,073 --> 00:28:50,075 to the app. 623 00:28:54,093 --> 00:28:55,093 Oh, great. 624 00:28:55,093 --> 00:28:56,099 Just my luck. 625 00:28:56,099 --> 00:29:00,093 Sharyn Alfonsi chats with a bot of herself. 626 00:29:00,093 --> 00:29:03,031 That sounds exactly like me. 627 00:29:03,031 --> 00:29:05,043 Go to 60minutesovertime.com. 628 00:29:13,059 --> 00:29:15,097 Time flies and waits for no one. 629 00:29:15,097 --> 00:29:17,099 And once lost, is never found. 630 00:29:17,099 --> 00:29:21,019 Yet still we try to keep time and measure it. 631 00:29:21,019 --> 00:29:24,047 Let the French, Germans and British fight over who invented 632 00:29:24,047 --> 00:29:27,081 the wearable clock or watch in the 1500s. 633 00:29:27,081 --> 00:29:28,065 This we know. 634 00:29:28,065 --> 00:29:31,007 It's the Swiss who refined the art, 635 00:29:31,007 --> 00:29:33,087 crafting the world's most intricate and expensive 636 00:29:33,087 --> 00:29:35,027 timepieces. 637 00:29:35,027 --> 00:29:38,045 This, though, is a curious interval for Swiss watches. 638 00:29:38,045 --> 00:29:41,021 Those mechanical wonders running not on batteries, 639 00:29:41,021 --> 00:29:42,095 but on springs and gears. 640 00:29:42,095 --> 00:29:45,081 For one, you hardly need wrist candy to tell time. 641 00:29:45,081 --> 00:29:48,003 You can just consult your phone. 642 00:29:48,003 --> 00:29:50,091 And now Swiss watches are subject to the ups and downs 643 00:29:50,091 --> 00:29:52,099 of President Trump's tariffs. 644 00:29:52,099 --> 00:29:55,041 Yet these luxury items keep ticking, 645 00:29:55,041 --> 00:30:00,071 as we saw for ourselves in a place called watch valley. 646 00:30:00,071 --> 00:30:03,013 Venture an hour north of Geneva and wedged 647 00:30:03,013 --> 00:30:05,043 between ridges of the Jura mountains, 648 00:30:05,043 --> 00:30:10,089 baby cousins of the Alps, you'll enter the Vallée de Joux. 649 00:30:10,089 --> 00:30:14,051 Don't be lulled by the green meadows and grazing cows. 650 00:30:14,051 --> 00:30:16,089 This is a global manufacturing hub, 651 00:30:16,089 --> 00:30:21,045 has been since the 17th century, when local farmers needed a side 652 00:30:21,045 --> 00:30:25,041 hustle during harsh winters and started tinkering with big hands 653 00:30:25,041 --> 00:30:26,093 and little hands. 654 00:30:26,093 --> 00:30:30,017 Big name watch brands came of age here, 655 00:30:30,017 --> 00:30:34,065 as did solo master craftsmen like Philippe Dufour. 656 00:30:34,065 --> 00:30:37,053 When I arrive in the morning here, I light my pipe, 657 00:30:37,053 --> 00:30:40,069 take a coffee with classic music. 658 00:30:40,069 --> 00:30:42,021 It's heaven. 659 00:30:42,021 --> 00:30:45,081 In Dufour's one-room workshop, the old watchmaking methods 660 00:30:45,081 --> 00:30:47,073 endure. 661 00:30:47,073 --> 00:30:49,075 So do the tools and the tempo. 662 00:30:49,075 --> 00:30:51,017 Do you remember how long it took 663 00:30:51,017 --> 00:30:52,061 you to make your first watch? 664 00:30:52,061 --> 00:30:55,009 Oh, yes, to more than two years. 665 00:30:55,009 --> 00:30:55,079 One watch? 666 00:30:55,079 --> 00:30:56,089 Yeah, yeah. 667 00:30:56,089 --> 00:30:59,037 How long does it take you to make a watch now? 668 00:30:59,037 --> 00:31:03,059 Well, it's about a 2000 hour, one year. 669 00:31:03,059 --> 00:31:05,096 JON WERTHEIM: Dufour went to the local watchmaking school 670 00:31:05,096 --> 00:31:09,088 and worked for major brands before striking out on his own. 671 00:31:09,088 --> 00:31:13,018 Now 77, he's revered in the industry, 672 00:31:13,018 --> 00:31:16,084 meticulously crafting watches from start to finish. 673 00:31:16,084 --> 00:31:19,066 That third eye, a magnifying loupe it's called, 674 00:31:19,066 --> 00:31:21,028 doesn't leave his head. 675 00:31:21,028 --> 00:31:24,004 Dufour prices his watches in the hundreds of thousands 676 00:31:24,004 --> 00:31:26,048 of dollars, custom ordered and so 677 00:31:26,048 --> 00:31:29,080 in demand when we asked to see a sample of his handiwork, 678 00:31:29,080 --> 00:31:31,000 he had none-- 679 00:31:31,000 --> 00:31:33,036 well, except the one he was wearing. 680 00:31:33,036 --> 00:31:36,056 This is a model Simplicity. 681 00:31:36,056 --> 00:31:42,004 I launched it in year 2000, and this is the real first one. 682 00:31:42,004 --> 00:31:45,012 And I wear it every day since 2000. 683 00:31:45,012 --> 00:31:46,054 JON WERTHEIM: Counter to its name, 684 00:31:46,054 --> 00:31:51,016 the Simplicity contains 153 individual components. 685 00:31:51,016 --> 00:31:53,072 Dufour hand finishes every part. 686 00:31:53,072 --> 00:31:57,018 Those broad stripes are his signature embellishment. 687 00:31:57,018 --> 00:32:01,036 Today, Swiss mechanical watches are like fine art pieces, 688 00:32:01,036 --> 00:32:03,058 appreciating assets that collectors 689 00:32:03,058 --> 00:32:06,036 can and do resell at auction. 690 00:32:06,036 --> 00:32:08,034 The one and only Philippe Dufour, 691 00:32:08,034 --> 00:32:09,094 and there won't be any others. 692 00:32:09,094 --> 00:32:11,030 1,000,009. 693 00:32:11,030 --> 00:32:13,026 What do your watches sell for? 694 00:32:13,026 --> 00:32:19,018 Oh, I mean, in terms of auction, one of the highest 695 00:32:19,018 --> 00:32:21,068 was $7 million. 696 00:32:21,068 --> 00:32:23,054 How do you process that? 697 00:32:23,054 --> 00:32:26,082 Well, I'm very happy. 698 00:32:26,082 --> 00:32:30,005 I don't get the money because it's not mine anymore, 699 00:32:30,005 --> 00:32:30,092 you know what I mean? 700 00:32:30,092 --> 00:32:34,077 But I mean, it's a recognition. 701 00:32:34,077 --> 00:32:36,014 JON WERTHEIM: Just down the road, 702 00:32:36,014 --> 00:32:38,090 Antoine LeCoultre turned his family barn 703 00:32:38,090 --> 00:32:40,094 into a watchmaking studio. 704 00:32:40,094 --> 00:32:43,046 That was in 1833. 705 00:32:43,046 --> 00:32:47,062 Now it houses the global brand Jaeger-LeCoultre. 706 00:32:47,062 --> 00:32:49,094 The work is segmented, each employee 707 00:32:49,094 --> 00:32:53,078 tasked with one of 180 watchmaking crafts. 708 00:32:53,078 --> 00:32:57,084 Adjusting springs, sure, but also 709 00:32:57,084 --> 00:33:02,000 turning caterpillar secretions into glue for jewel bearings. 710 00:33:02,000 --> 00:33:04,088 This artisan reproduces masterpiece paintings 711 00:33:04,088 --> 00:33:09,012 on the back of the watch with a one thread brush. 712 00:33:09,012 --> 00:33:11,020 The back of the watch is prime real estate 713 00:33:11,020 --> 00:33:15,060 at Jaeger-LeCoultre best known for a model called the reverso. 714 00:33:15,060 --> 00:33:17,076 Originally made for polo players who 715 00:33:17,076 --> 00:33:21,000 needed the watch to be protected during competition. 716 00:33:21,000 --> 00:33:24,012 Flip the face and voila. 717 00:33:24,012 --> 00:33:26,096 On our tour of the shop floor with brand director Mathieu 718 00:33:26,096 --> 00:33:31,084 Sauret, we watched a worker assemble his first reverso. 719 00:33:31,084 --> 00:33:35,072 Hundreds of hours go into perfecting this chime alone. 720 00:33:35,072 --> 00:33:39,055 Much nicer on the ears than Siri. 721 00:33:39,055 --> 00:33:41,038 JON WERTHEIM: It's called a minute repeater. 722 00:33:41,038 --> 00:33:45,014 Leave it to the Swiss to pioneer what are known as complications. 723 00:33:45,014 --> 00:33:47,088 Watch speak for those additional mechanical flourishes 724 00:33:47,088 --> 00:33:50,024 beyond the basic display of time. 725 00:33:50,024 --> 00:33:52,050 Consider the perpetual calendar. 726 00:33:52,050 --> 00:33:55,096 It tells you the day of the week, the date, 727 00:33:55,096 --> 00:33:58,090 the month precise until 2100. 728 00:33:58,090 --> 00:34:00,000 Accounted for leap year? 729 00:34:00,000 --> 00:34:01,084 You don't have to check this for the rest of the century. 730 00:34:01,084 --> 00:34:03,023 No, you just have to wind it. 731 00:34:03,023 --> 00:34:04,052 The watch is a little computer. 732 00:34:04,052 --> 00:34:06,004 It knows everything. 733 00:34:06,004 --> 00:34:10,058 We joke about a computer, but this is entirely mechanical. 734 00:34:10,058 --> 00:34:11,046 Yes. 735 00:34:11,046 --> 00:34:14,024 There is no electronic at all in this timepiece. 736 00:34:14,024 --> 00:34:19,086 Everything is gears, gear trains, wheels and springs. 737 00:34:19,086 --> 00:34:23,059 Watchmakers don't get nervous having an item in their hand 738 00:34:23,059 --> 00:34:25,022 worth a million and a half dollars that 739 00:34:25,022 --> 00:34:28,006 might take more than a year to put together? 740 00:34:28,006 --> 00:34:30,072 We are nervous. 741 00:34:30,072 --> 00:34:31,072 You look cool, though. 742 00:34:31,072 --> 00:34:32,088 You pull it off. 743 00:34:32,088 --> 00:34:35,051 I look cool, but I'm not. 744 00:34:35,051 --> 00:34:37,076 JON WERTHEIM: On the other side of the Jura mountains, 745 00:34:37,076 --> 00:34:39,056 the goods come to market. 746 00:34:39,056 --> 00:34:43,068 Geneva, a cross between a city and a Swiss watch showroom, 747 00:34:43,068 --> 00:34:45,028 Rolex is the biggest player. 748 00:34:45,028 --> 00:34:48,006 More than a million units a year, roughly a third 749 00:34:48,006 --> 00:34:49,086 of the Swiss market share. 750 00:34:49,086 --> 00:34:52,026 Pharmaceuticals and banking are bigger sectors 751 00:34:52,026 --> 00:34:55,068 of the Swiss economy, but its watchmaking that draws out 752 00:34:55,068 --> 00:34:57,036 the national character. 753 00:34:57,036 --> 00:35:01,004 Marc André Deschoux is the founder of Watches TV. 754 00:35:01,004 --> 00:35:03,040 In Switzerland, we like to do things well. 755 00:35:03,040 --> 00:35:06,002 We hear about that famous Swiss precision. 756 00:35:06,002 --> 00:35:08,014 It's all about very minute details. 757 00:35:08,014 --> 00:35:10,094 This is not a product that degrades over time. 758 00:35:10,094 --> 00:35:11,062 Not really. 759 00:35:11,062 --> 00:35:14,026 A watch movement is something that is absolutely incredible 760 00:35:14,026 --> 00:35:15,018 if you think about it. 761 00:35:15,018 --> 00:35:17,080 It runs 24 hours a day. 762 00:35:17,080 --> 00:35:20,012 And some people are saying like minus plus 763 00:35:20,012 --> 00:35:21,066 of five seconds per day. 764 00:35:21,066 --> 00:35:23,010 Oh, that's a big thing. 765 00:35:23,010 --> 00:35:24,064 But if you think about it in the day, 766 00:35:24,064 --> 00:35:27,090 I mean you have 86,400 seconds. 767 00:35:27,090 --> 00:35:32,010 So if you have a little bit distortion of five seconds, 768 00:35:32,010 --> 00:35:34,038 that's less than 0.01%. 769 00:35:34,038 --> 00:35:35,050 I mean, it's nothing. 770 00:35:35,050 --> 00:35:37,067 JON WERTHEIM: If the Swiss can get a little precious 771 00:35:37,067 --> 00:35:40,048 about their precision, it's a function of history. 772 00:35:40,048 --> 00:35:43,068 In the '70s and '80s, Swiss watchmaking was decimated 773 00:35:43,068 --> 00:35:48,008 by the so-called quartz crisis, when Japan in particular began 774 00:35:48,008 --> 00:35:52,066 peddling more accurate watches for a fraction of the price run 775 00:35:52,066 --> 00:35:55,010 on a quartz crystal and a battery. 776 00:35:55,010 --> 00:35:56,054 The Swiss response-- 777 00:35:56,054 --> 00:35:57,084 Swatch. 778 00:35:57,084 --> 00:36:00,016 Always different, always new. 779 00:36:00,016 --> 00:36:02,062 JON WERTHEIM: They launched the quartz-powered Swatch Watch 780 00:36:02,062 --> 00:36:05,010 plastic and chic, but then doubled down 781 00:36:05,010 --> 00:36:07,082 on the high-end mechanical market, adopting 782 00:36:07,082 --> 00:36:12,066 Alpine-high pricing and limited supply as a business model. 783 00:36:12,066 --> 00:36:16,002 It's only 1.75 millimeters thick. 784 00:36:16,002 --> 00:36:19,026 JON WERTHEIM: At Richard Mille, we tried on this $2 million 785 00:36:19,026 --> 00:36:22,036 mechanical watch, a mind bending price tag, 786 00:36:22,036 --> 00:36:25,006 but it does explain how Swiss watches account 787 00:36:25,006 --> 00:36:30,002 for fewer than 2% of the units sold globally, but more than 50% 788 00:36:30,002 --> 00:36:31,090 of the market's overall value. 789 00:36:31,090 --> 00:36:33,074 Of course, it's a small cohort that 790 00:36:33,074 --> 00:36:36,098 can afford this kind of status symbol, the equivalent 791 00:36:36,098 --> 00:36:39,010 of a Ferrari for the wrist. 792 00:36:39,010 --> 00:36:43,002 And it's gauche to walk into a shop and just buy a watch. 793 00:36:43,002 --> 00:36:46,062 It's a process, a dance done in gloves. 794 00:36:46,062 --> 00:36:50,020 At Patek Philippe, we were shown a new model with a split seconds 795 00:36:50,020 --> 00:36:51,013 chronograph. 796 00:36:51,013 --> 00:36:52,038 Let me put it on your wrist. 797 00:36:52,038 --> 00:36:53,048 This is going to be nice. 798 00:36:53,048 --> 00:36:57,010 JON WERTHEIM: List price North of $300,000. 799 00:36:57,010 --> 00:36:59,000 If somebody said, I love this watch. 800 00:36:59,000 --> 00:37:00,080 I saw this in your window. 801 00:37:00,080 --> 00:37:03,064 Can they walk in off the street and say, please, please 802 00:37:03,064 --> 00:37:05,008 take my credit card? 803 00:37:05,008 --> 00:37:09,024 It's a difficult one, but sometimes a bit of patience 804 00:37:09,024 --> 00:37:10,028 is necessary. 805 00:37:10,028 --> 00:37:12,096 JON WERTHEIM: Said patience can be measured in years. 806 00:37:12,096 --> 00:37:15,088 Some wait lists can run a decade. 807 00:37:15,088 --> 00:37:19,070 Help us make sense of the wait lists and the supply and demand. 808 00:37:19,070 --> 00:37:24,056 It's a way of driving this desirability for a product, 809 00:37:24,056 --> 00:37:26,036 so that you can't just-- 810 00:37:26,036 --> 00:37:27,086 It's not a question of money. 811 00:37:27,086 --> 00:37:34,032 You really need to go along this kind journey to get your watch. 812 00:37:34,032 --> 00:37:37,008 JON WERTHEIM: The journey has been bumpy of late. 813 00:37:37,008 --> 00:37:40,088 Earlier this year, the US issued tariffs on Swiss exports 814 00:37:40,088 --> 00:37:45,044 at a punishing 39%, driving prices even higher. 815 00:37:45,044 --> 00:37:49,030 But tariffs are flexible in a way time is not. 816 00:37:49,030 --> 00:37:51,056 After captains of Swiss industry, 817 00:37:51,056 --> 00:37:53,068 including watch company executives, 818 00:37:53,068 --> 00:37:55,080 visited the Oval Office last month, 819 00:37:55,080 --> 00:38:00,070 the Trump administration dropped the Swiss tariff rate to 15%. 820 00:38:00,070 --> 00:38:03,018 And yes, that gold plated desk clock 821 00:38:03,018 --> 00:38:06,086 was a gift from the CEO of Rolex. 822 00:38:06,086 --> 00:38:09,046 Plugging away through all this back and forth, 823 00:38:09,046 --> 00:38:13,078 Max Büsser, founder of niche brand MB&F, 824 00:38:13,078 --> 00:38:17,034 an engineer by training, he started the company in 2005 825 00:38:17,034 --> 00:38:19,008 and struggled at first. 826 00:38:19,008 --> 00:38:21,020 And then 2020 COVID happened. 827 00:38:21,020 --> 00:38:27,010 We had hundreds, thousands of people contacting us saying, 828 00:38:27,010 --> 00:38:28,054 how can I get one of your watches? 829 00:38:28,054 --> 00:38:30,060 Could you accommodate this demand. 830 00:38:30,060 --> 00:38:32,036 No, because we don't want to grow. 831 00:38:32,036 --> 00:38:33,048 JON WERTHEIM: That's right. 832 00:38:33,048 --> 00:38:35,046 Büsser has no interest in ramping up 833 00:38:35,046 --> 00:38:39,006 from his current output of roughly 400 watches a year. 834 00:38:39,006 --> 00:38:42,048 See the level of detailing. 835 00:38:42,048 --> 00:38:45,042 You're looking as if you're looking at a little city. 836 00:38:45,042 --> 00:38:47,046 And of course, all of this is not only beautiful, 837 00:38:47,046 --> 00:38:49,052 it has to function. 838 00:38:49,052 --> 00:38:52,036 JON WERTHEIM: The loop lays bare just how painstaking this work 839 00:38:52,036 --> 00:38:53,010 can be. 840 00:38:53,010 --> 00:38:54,028 I mean, this is as-- 841 00:38:54,028 --> 00:38:56,036 that's-- these are poppy seeds. 842 00:38:56,036 --> 00:38:58,056 That's a screw that's smaller than-- 843 00:38:58,056 --> 00:38:59,042 This is a screw. 844 00:38:59,042 --> 00:39:01,032 That's a grain of sand right there. 845 00:39:01,032 --> 00:39:03,000 This is the level. 846 00:39:03,000 --> 00:39:04,024 This is the craftsmanship-- 847 00:39:04,024 --> 00:39:07,004 Craftsmanship competence of these people. 848 00:39:07,004 --> 00:39:08,066 I believe watchmaking is art. 849 00:39:08,066 --> 00:39:11,012 Everybody says the art of watchmaking. 850 00:39:11,012 --> 00:39:14,020 So if watchmaking is art, why are 851 00:39:14,020 --> 00:39:17,012 99% of watches look the same? 852 00:39:17,012 --> 00:39:20,044 JON WERTHEIM: Büsser does not stand accused of conformity. 853 00:39:20,044 --> 00:39:23,064 He used a bulldog as inspiration for this model 854 00:39:23,064 --> 00:39:26,072 and told us telling time is not the point. 855 00:39:26,072 --> 00:39:29,068 We all know that what we do is totally pointless. 856 00:39:29,068 --> 00:39:30,092 What do you mean? 857 00:39:30,092 --> 00:39:33,090 A mechanical watch is totally pointless today. 858 00:39:33,090 --> 00:39:37,026 It was pointless in 1972 when the quartz era arrived. 859 00:39:37,026 --> 00:39:41,000 And so anybody who tries to tell you yes, a mechanical watch 860 00:39:41,000 --> 00:39:45,067 has a point except for emotional art and artisanship, 861 00:39:45,067 --> 00:39:46,077 I don't think so. 862 00:39:46,077 --> 00:39:51,042 364 components in the movement, 92 components in the case. 863 00:39:51,042 --> 00:39:53,075 JON WERTHEIM: Büsser's company has grown to the point he 864 00:39:53,075 --> 00:39:57,067 recently sold a 25% share to the Chanel brand, 865 00:39:57,067 --> 00:40:00,099 but it's small enough he still interviews clients before 866 00:40:00,099 --> 00:40:05,055 selling them a watch, which can easily run $250,000. 867 00:40:05,055 --> 00:40:07,049 How do you, as an artist feel about this 868 00:40:07,049 --> 00:40:11,051 when some of your customers are now viewing this 869 00:40:11,051 --> 00:40:14,033 not as a piece of art, as a functional timepiece, 870 00:40:14,033 --> 00:40:15,069 but as an investment? 871 00:40:15,069 --> 00:40:18,059 It really, really annoys me. 872 00:40:18,059 --> 00:40:22,011 It's the worst reason to buy a beautiful piece of watchmaking. 873 00:40:22,011 --> 00:40:23,021 Now, don't get me wrong. 874 00:40:23,021 --> 00:40:26,063 I'm very happy if our customers can not 875 00:40:26,063 --> 00:40:30,063 lose money or even make money reselling one of our watches. 876 00:40:30,063 --> 00:40:34,027 It's a beautiful gift for both of us. 877 00:40:34,027 --> 00:40:36,019 But it shouldn't be the reason. 878 00:40:36,019 --> 00:40:38,019 JON WERTHEIM: You will not be surprised to learn 879 00:40:38,019 --> 00:40:42,089 where Büsser found the template for his life's work. 880 00:40:42,089 --> 00:40:44,023 Philippe is a legend. 881 00:40:44,023 --> 00:40:47,056 He went solo when nobody was solo. 882 00:40:47,056 --> 00:40:49,027 JON WERTHEIM: Back in the Vallée de Joux, 883 00:40:49,027 --> 00:40:53,053 the OG Philippe Dufour has taken on a new apprentice, Danièla, 884 00:40:53,053 --> 00:40:57,017 who also happens to be his 24-year-old daughter. 885 00:40:57,017 --> 00:41:00,081 I really have a kind of deep relationship with my father. 886 00:41:00,081 --> 00:41:03,081 And so I was super curious about all the time 887 00:41:03,081 --> 00:41:05,047 he was spending in the workshop. 888 00:41:05,047 --> 00:41:07,057 You see the magic operating. 889 00:41:07,057 --> 00:41:11,009 He's in front of his bench working on something that you 890 00:41:11,009 --> 00:41:16,021 cannot even see without a loupe, and you just listen a little, 891 00:41:16,021 --> 00:41:17,045 [SIGHS] 892 00:41:17,045 --> 00:41:19,013 I made it. 893 00:41:19,013 --> 00:41:20,007 Sigh of relief. 894 00:41:20,007 --> 00:41:25,061 Yes, and then you see the heart of the watch 895 00:41:25,061 --> 00:41:28,021 beating for the first time and you understand 896 00:41:28,021 --> 00:41:30,071 that he just created life. 897 00:41:30,071 --> 00:41:32,060 And you want to do the same thing. 898 00:41:32,060 --> 00:41:34,035 JON WERTHEIM: Before we left the workshop, 899 00:41:34,035 --> 00:41:37,039 the Dufours insisted on showing us this party trick-- 900 00:41:40,031 --> 00:41:43,015 A half dozen of his pocket watches set to chime 901 00:41:43,015 --> 00:41:46,073 in synchronicity, meant to echo the sounds of the valley. 902 00:41:49,067 --> 00:41:53,057 When the farmers going up on the mountain with the big bell. 903 00:41:57,071 --> 00:42:01,001 All these years and it still brings you pleasure and a smile. 904 00:42:01,001 --> 00:42:02,049 Yeah, marvelous. 905 00:42:02,049 --> 00:42:03,011 Marvelous. 906 00:42:03,011 --> 00:42:03,083 Yeah. 907 00:42:03,083 --> 00:42:05,095 It brought us a smile, too. 908 00:42:05,095 --> 00:42:08,079 But then again, we're suckers for the evocative 909 00:42:08,079 --> 00:42:11,059 sound of a classic mechanical timepiece. 910 00:42:19,079 --> 00:42:22,035 ANNOUNCER: The last minute of 60 Minutes 911 00:42:22,035 --> 00:42:25,031 is sponsored by UnitedHealthcare-- coverage 912 00:42:25,031 --> 00:42:28,009 your whole life ahead. 913 00:42:31,039 --> 00:42:33,079 Entering this season, Indiana University 914 00:42:33,079 --> 00:42:36,095 had more defeats than any other major college football 915 00:42:36,095 --> 00:42:38,065 program in America. 916 00:42:38,065 --> 00:42:40,029 Bloomington was a place where there 917 00:42:40,029 --> 00:42:43,085 was more excitement about the tailgate than the actual game. 918 00:42:43,085 --> 00:42:48,002 The rat quarter, touchdown, Indiana. 919 00:42:48,002 --> 00:42:49,077 JON WERTHEIM: But last night, the Hoosiers 920 00:42:49,077 --> 00:42:52,009 upset Ohio State to win their first Big Ten 921 00:42:52,009 --> 00:42:54,097 Championship since 1967. 922 00:42:54,097 --> 00:42:57,017 Next, the college football playoffs 923 00:42:57,017 --> 00:42:59,057 and a bid for a national championship. 924 00:42:59,057 --> 00:43:02,085 It's an unthinkable turnaround. 925 00:43:02,085 --> 00:43:06,001 Now 13-0, Indiana is ranked number one in the country 926 00:43:06,001 --> 00:43:08,013 for the first time in school history. 927 00:43:08,013 --> 00:43:11,009 How did the Hoosiers reverse field? 928 00:43:11,009 --> 00:43:13,037 We'll have that story and more next Sunday 929 00:43:13,037 --> 00:43:16,029 on another edition of 60 Minutes. 930 00:43:19,089 --> 00:43:21,055 ANNOUNCER: If you love 60 Minutes, 931 00:43:21,055 --> 00:43:25,073 see America's stories told every weeknight on the CBS Evening 932 00:43:25,073 --> 00:43:28,043 News. 933 00:43:28,043 --> 00:43:31,078 [AUDIO LOGO]