Valuetainment - October 08, 2026


"China Stealing America's AI Secrets" - OpenAI Fired 3 Safety Researchers

Hosted by
Mentioned
“I’m Not Trying To Start A Witch Hunt” – Jacob Coxon On AI Espionage Concerns

Episode Stats


Length

24 minutes

Words per minute

196.27

Word count

4,870

Sentence count

463

Harmful content

Misogyny

3

sentences flagged

Toxicity

12

sentences flagged

Hate speech

67

sentences flagged


Transcript

Transcript generated with Whisper (turbo).
Misogyny classifications generated with MilaNLProc/bert-base-uncased-ear-misogyny .
Toxicity classifications generated with s-nlp/roberta_toxicity_classifier .
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
Hosts, guests, and mentioned names generated with spaCy (en_core_web_sm), reconciled against Wikidata.
00:00:00.000 Next thing I want to get into is what happened with AI spies that are getting into open AI and Anthropik.
00:00:06.080 And this goes with a conversation I had last week with Jacob Cox and the Anthropik whistleblower that came out and said, 0.56
00:00:11.080 hey, you know, Tesla cannot have any Chinese nationals work there, but Anthropik and open AI can.
00:00:17.320 And I started thinking, what do you mean by that?
00:00:19.060 This interview drops tomorrow.
00:00:20.660 So watch what happens a couple of days later in a story.
00:00:23.980 A couple of days later, OpenAI fires three safety researchers accused of sharing confidential company information.
00:00:32.060 What?
00:00:33.160 Three researchers have been fired from OpenAI after allegedly sharing confidential company information with a third-party AI safety organization.
00:00:38.880 Sources told Wall Street Journal, the three worked on the company's safety team.
00:00:43.220 We have parted ways with three individuals for violating our policies on accessing and handling sensitive company information.
00:00:50.260 An OpenAI spokesperson said, our investigation confirmed that these individuals mishandled sensitive information outside established company procedures, violating our policies, and breaking the trust essential to our work.
00:01:01.160 The firing came as OpenAI and other major AI companies have disclosed incidents involved AI models engaging in unexpected behavior or autonomously accessing other company systems.
00:01:14.260 OpenAI has outlined three, six instances of what it's called misaligned behavior, including models creating self-generated instructions, concealing mistakes in task summaries, fabricating information using exposed AI keys, and engaging in unsanctioned communication between agents.
00:01:31.100 OpenAI safety leaders also decided not to release its new AI model, GPT 6.1 Astra, due to safety concerns for anything regarding safety and alignment.
00:01:39.940 There's a tradeoff. OpenAI's head of safety system said the model didn't quite meet the bar.
00:01:45.640 So, Tom, how much more of these types of stories do you think we're going to be hearing moving forward?
00:01:51.300 We're going to hear a lot of them, and I'll tell you why we're going to hear a lot of them.
00:01:54.460 Because in related news, just two days before that, they say, Anthropic says, hey, we're looking at an IPO the week of November 9th.
00:02:05.280 as early as the week of November 9th, as long as we can get coverage at $2 trillion in valuation.
00:02:12.000 So why are they saying both of these things at the same time?
00:02:15.120 And remember, they put the S-1, was a confidential S-1 that they put to sec.gov.
00:02:21.960 So we can't go look at it the way we could go to sec.gov and we could read the S-1s for companies that are going public.
00:02:28.660 We can't.
00:02:29.500 Well, Anthropic says, no, no, no, we think we could go out as early as November 9th, $2 trillion valuation.
00:02:35.280 Well, if that's what they're trying to do, then they have to clear the deck, Pat, of all this PR.
00:02:41.220 And so what better way to clear the deck of the PR?
00:02:44.620 I know we came out and said we worried about this.
00:02:46.840 I know we were talking about, you know, hugging face.
00:02:49.200 I know we were talking about this. 1.00
00:02:50.940 We fired three of the bastards. 1.00
00:02:52.840 Ha, we're taking action. 1.00
00:02:54.340 I think it's that.
00:02:55.700 I think they're trying to, I'm being a little dramatic, but I think what they're really trying to say is, hey, we take safety seriously.
00:03:01.460 This is a way of saying we're responsible.
00:03:03.580 It's not like anything crazy happened.
00:03:05.580 It's for investors to say, oh, wow, look how responsible OpenAI is.
00:03:08.980 Correct.
00:03:09.500 And to pull back any congressional, here's a bad word, hearings that might be going on when you're trying to go to Wall Street because you can't do both.
00:03:17.820 People are going to say, wait, wait, wait.
00:03:18.980 We're not going public if you're in the middle of congressional hearings or going for 60 days on AI safety.
00:03:25.120 Sorry, dude.
00:03:25.860 You're not going to do that.
00:03:26.980 No one will let them.
00:03:27.680 The SEC will come out and say, stop.
00:03:30.520 We're investigating all these safety things.
00:03:32.440 You're not going out.
00:03:33.200 Remember, the SEC has to allow it.
00:03:35.080 So I think it's both.
00:03:36.780 I think they're trying to look responsible, as you say.
00:03:39.900 Adam, where are you at with this one?
00:03:41.600 Look, I haven't followed this exact story,
00:03:43.560 but this isn't like this one person they fired, three people they fired.
00:03:47.940 What's the basis of the story?
00:03:49.240 Were they working together, these three of these people, Tom?
00:03:52.540 Were they independent?
00:03:53.980 I'm trying to go deeper on this story, but then I have an overall.
00:03:56.980 Well, let me do this while you're thinking that.
00:03:59.780 I didn't see bio.
00:04:01.020 Let me go into this.
00:04:01.680 So what I'm concerned about is the following. 1.00
00:04:03.960 I want to know how often this has happened with Chinese nationals because you have to, like. 0.83
00:04:10.420 Were these all Chinese nationals?
00:04:11.840 What does it mean?
00:04:12.760 No, not necessarily.
00:04:13.520 What does it mean when people are sharing sensitive information?
00:04:19.560 They're spying.
00:04:19.680 What does that mean?
00:04:20.280 It's espionage.
00:04:21.700 Okay, so, and who are you sharing it with?
00:04:23.640 We didn't really know who they're sharing it with.
00:04:25.480 Like, where did it go?
00:04:26.260 When I go and I think about things that concern me, here's what I think about.
00:04:29.660 There's a few different people.
00:04:30.860 So think about Google. A person named Lin Wei Leon Ding at Google, a PRC national and Google AI engineers, prosecutors said he stole more than 2,000 pages of confidential AI material involving Google's TPU, GPU, supercomputing infrastructure while secretly affiliated with two China-based AI companies.
00:04:54.660 So in January 2026, he was convicted on seven counts of economic espionage and seven counts of trade secret theft for the benefit of the PRC.
00:05:04.740 Can you look up this name, please? Lin Wei Ding, Google. L-I-N-W-E-I, then D-I-N-G, Google.
00:05:13.920 Yeah, this one right here. This just happened, just so you know. This just happened a few months ago.
00:05:19.480 You got another one with Apple.
00:05:21.800 Xialong Zhang.
00:05:23.080 Obviously, you don't have to ask if these guys are from Afghanistan or U.S. or Brazil.
00:05:26.780 It's very obvious.
00:05:27.960 Former Apple self-driving car engineer.
00:05:30.540 He was accused of downloading autonomous driving trade secrets before planning to work for Chinese EV company, Japang, and arrested while trying to board a flight to China.
00:05:42.380 He later pleaded guilty to trade secret theft.
00:05:46.060 By the way, just so you know, and this is recent.
00:05:48.340 Then I'll give you another one.
00:05:49.480 Wei Bao Wang.
00:05:50.420 Where do you think he's from?
00:05:51.220 I'll let you guess.
00:05:51.840 I'm going to keep going.
00:05:52.380 From the Wu-Tang.
00:05:53.320 Wu-Tang.
00:05:54.180 South Central.
00:05:55.160 Former Apple autonomous system engineer.
00:05:57.880 Prosecutors allege he took Apple source code and technical material after accepting a job.
00:06:03.380 You're going to see where I'm going with this, where my concern is.
00:06:05.380 I'm starting to light up.
00:06:06.080 A job with the U.S. subsidiary of a PRC headquartered autonomous driving company.
00:06:10.840 Okay?
00:06:11.260 By the way, you know who got involved in this?
00:06:12.700 The FBI got involved in this.
00:06:13.980 Of course they did.
00:06:14.560 This remains an allegation, not a conviction with this one.
00:06:17.580 Hao Zhang.
00:06:18.300 Where do you think that guy is from?
00:06:19.480 Skyworks, a PRC citizen who worked at Skyworks, prosecutors proved he and collaborators stole wireless semiconductor trade secrets and used them to build a competing operation tied to Tian University.
00:06:33.580 And DOJ described an instrumental as an instrumental of Chinese government.
00:06:39.320 He was convicted of economic espionage and trade secret theft.
00:06:42.740 I'll give you one other one here.
00:06:44.400 Weipeng, Avago Technologies, another PRC.
00:06:47.720 By the way, there's two Weipeng apparently.
00:06:49.480 Two Weipangs?
00:06:51.620 DOJ alleged that he and Jank took FBAR semiconductor technology
00:06:56.640 and shared it with conspirators.
00:06:58.200 Again, a China-based venture.
00:06:59.620 He was charging the same economic espionage.
00:07:01.440 Okay.
00:07:02.120 So you know some of the people on MAGA or Republicans that are not happy with Trump
00:07:06.660 in what area?
00:07:08.160 The one area where he's like, yeah, we want to have 600,000 Chinese students
00:07:11.260 come here and go to our universities.
00:07:13.720 And China would love for that to happen. 0.86
00:07:17.040 Why would they love to happen?
00:07:18.200 You think they're just coming here to learn our stuff and take you back to China?
00:07:21.860 Or do you think those people that are coming here are true believers of China?
00:07:24.940 They want to come and get the intel, see what we're doing, move into our companies.
00:07:29.840 You have to be very, very careful with how China runs.
00:07:33.600 The U.S. model is you have two terms when you become president.
00:07:37.100 You come in.
00:07:38.200 If you're doing a good job, you get reelected.
00:07:40.640 If not, sometimes you win.
00:07:43.200 Second time, the other side cheats.
00:07:44.560 Then you come back in.
00:07:45.380 Sometimes these types of things happen, right? 0.79
00:07:46.840 But if you think for a second, China's not thinking long term of coming in and stealing what we have and sending it back to them, their loyalty is not to U.S. 0.54
00:07:55.480 Their loyalty is back to China. 0.51
00:07:57.800 They're not in America because they love America and they love the company they're working for.
00:08:02.300 They're here to share the intel back with them.
00:08:04.560 So my concern is, do you make a law in America that Chinese nationals cannot work for these AI companies?
00:08:13.680 Well, is it the law that does it, or is this the company itself that has to do this?
00:08:18.240 But you can't wait for the company because the company is going to want engineers.
00:08:21.820 So part of this goes into, do you talk H-1B visa?
00:08:25.180 Do you go into a lot of Indians are coming here?
00:08:27.700 And J.D. Vance just kind of talked about this recently.
00:08:29.720 I don't know if you saw that over the weekend.
00:08:31.520 These are true, real concerns that people are thinking about.
00:08:34.400 You know, one of the things you taught me, you said, listen, here's how I do business.
00:08:38.360 You said, I hire slow, but I fire fast.
00:08:42.540 So to me, I mean, would you break that down?
00:08:44.420 There's a very strict vetting process if you're going to let somebody into your world.
00:08:49.200 Why don't American companies operate like that, especially in the light of this China situation or whoever these safety researchers are?
00:08:58.620 You just read how many Chinese names that did this?
00:09:01.380 I mean, I feel like the vetting process needs to be completely profound in this situation.
00:09:06.540 How would you go about this as a publicly traded company, let's say, or even private company?
00:09:10.780 So remember, not everything is a deal.
00:09:13.840 Not everything is about making deals.
00:09:15.760 The president is a dealmaker, right?
00:09:18.000 There are some things that there are no deals.
00:09:20.420 It's not on the table.
00:09:21.680 We're not even – you give me – like today, this morning,
00:09:24.760 I'm talking to one of our guys, Dan, 18 Delta, and we're driving.
00:09:29.420 We're having a conversation about what happened in France.
00:09:31.080 I said, let me ask you a question.
00:09:31.900 If you had a choice between being a billionaire
00:09:35.200 or having been in Delta Force for 10 years, which one do you choose?
00:09:39.040 He says, it's not even close.
00:09:40.780 I said, what do you mean?
00:09:42.080 He says, oh, it's not even close.
00:09:43.880 I would choose Delta.
00:09:45.280 Really?
00:09:45.740 Oh, he says it's not.
00:09:46.760 So you see, that's core values to this human being.
00:09:50.380 I respect that because money can't buy the dream that he had in place.
00:09:55.340 There are certain things in America that should not be for sale to anybody.
00:10:00.580 And this is one of those things that shouldn't be for sale.
00:10:04.060 For no matter how much money you want to give me, something shouldn't be for sale.
00:10:08.420 It's like how many social media platforms that are American-owned are based in China?
00:10:13.800 None.
00:10:14.240 None.
00:10:14.740 But how many are here?
00:10:15.740 Exactly.
00:10:16.500 So, you know, it's kind of like the rules of the road.
00:10:19.180 There's a binary situation going on here.
00:10:21.360 How many American workers are working in China right now?
00:10:24.160 Very few, probably.
00:10:25.080 Very, very few.
00:10:25.980 And if you don't think that they have the phone,
00:10:27.060 Some guy named Rick just working at Huawei?
00:10:29.260 I want to see what Tom's going to say about this.
00:10:30.700 Tom, what would you say about this?
00:10:31.640 So take a look at this graphic.
00:10:33.040 I don't know if the audience can see this. 0.62
00:10:34.900 This is the self-reforcing visa wheel. 0.69
00:10:36.720 Now, why does it happen?
00:10:38.420 A H-1B visa holder, your spouse is allowed to get an H-4.
00:10:43.240 If your spouse has an H-4, then they could form an LLC, and they form staffing firms.
00:10:48.500 The staffing firms reach out and help other people get H-1Bs.
00:10:52.540 Why is this happening?
00:10:53.820 Because we've created a market for it.
00:10:55.600 Why do we create a market for it?
00:10:57.160 Because is California liberal or conservative?
00:11:00.240 Huh?
00:11:00.560 Liberal.
00:11:01.340 The people that are running technology companies, are they largely liberal or conservative?
00:11:05.660 Liberal.
00:11:05.940 Liberal.
00:11:06.500 They're in favor of bringing foreign workers over.
00:11:10.480 And by the way, at the end of it, they may be liberal, but they sure as hell are capitalists 0.85
00:11:14.880 because they want lower-cost engineers.
00:11:17.780 And they bring over tons of lower-cost engineers through this, this process.
00:11:21.680 I'm not okay with that. This shouldn't be fulfilled.
00:11:22.680 This is, Pat, this is the problem. 1.00
00:11:24.680 But this is mostly from India, though, correct? 0.98
00:11:26.900 More H-1B, I think, of India.
00:11:28.600 India is a lot of it, but you are also seeing it from mainland China, 0.90
00:11:32.360 and you're seeing it with spies.
00:11:33.540 And China is even more sophisticated.
00:11:36.560 They don't want to go through the more visible H-1B.
00:11:40.320 They talk our president into what?
00:11:43.240 Allowing the students to come over to the college.
00:11:46.040 Both have to stop.
00:11:47.180 America cannot be for sale.
00:11:48.500 Why would Trump want 600,000 students coming from China?
00:11:52.600 What's the methodology with that?
00:11:54.200 I'm not in the room.
00:11:55.180 I didn't become a president.
00:11:56.300 So let me just start with that preface.
00:11:57.940 So whatever I say, he can do whatever he wants to do.
00:12:00.660 He became the president.
00:12:01.560 I'm not the president.
00:12:02.220 If I became president, maybe I would have done it in a different way.
00:12:04.220 But, again, I don't have access to all the information.
00:12:06.800 You just have to realize, when you go to a negotiation,
00:12:11.120 not everything's on the table.
00:12:14.800 Like, you asked me a question about a relationship earlier,
00:12:17.280 and we're not going to talk publicly.
00:12:19.980 It's not on the table.
00:12:22.180 We're not negotiating this.
00:12:24.640 In certain things in life, we're dictators.
00:12:27.720 As a parent, not everything's negotiable with the kids.
00:12:30.740 There are moments where Perrin must be a dictator.
00:12:33.520 To allow these guys to come and steal our stuff
00:12:36.420 and even think that they're going to be loyal to us,
00:12:38.740 it's a numbers game.
00:12:40.100 Say you've got 500 of them. 0.99
00:12:41.780 How many Chinese nationals do you need to be 100% loyal to China
00:12:45.080 to share our information with them?
00:12:46.760 One out of 500.
00:12:48.100 You don't need all of them.
00:12:49.140 So it's like, well, it's not all of them.
00:12:50.140 It goes back to the same argument with, you know, 0.92
00:12:52.220 not all Muslims are, you know, but hey, 1% is a lot. 0.92
00:12:56.520 Half a percent is a lot. 0.89
00:12:57.760 Two billion out of two billion. 0.96
00:12:58.340 So to me, this is the part when sometimes Israel comes here, Adam, 0.97
00:13:02.920 and I have a problem with this. 1.00
00:13:04.560 This is the part that for me, I'm not the guy that's part of, 0.99
00:13:07.500 oh, my God, everything, everything, something happens, it's Israel's fault. 0.99
00:13:10.460 I'm not part of that camp. 0.99
00:13:11.880 But I tell you, if you're in the U.S.
00:13:14.920 and you serve the IDF more than you serve the U.S.,
00:13:17.400 I question your loyalty. 0.85
00:13:19.860 You know what's the only bottom two religions that don't join the U.S. Army?
00:13:25.440 It's Jews and Muslims. 0.95
00:13:28.340 Why not? 0.57
00:13:29.000 What's your loyalty to?
00:13:30.600 I'm a Christian.
00:13:31.420 I serve the military here.
00:13:33.100 So it concerns me when your loyalty is to a different country.
00:13:36.640 I don't play those games.
00:13:37.840 Right, sure.
00:13:38.420 And I'm not the conspiracy jumping all this other stuff.
00:13:41.740 I think there needs to be a certain level of, no, if you are this, you can't work here.
00:13:48.540 We're not sharing this technology with you at all.
00:13:51.000 This is not a regular thing to collaborate with and cooperate with.
00:13:56.380 just because you want to get these other three deals done
00:13:58.660 because everyone's going to say it's impossible,
00:14:00.140 but the ramifications of this deal we're not going to see for 20 years
00:14:03.420 when we have three other presidents now.
00:14:05.380 I think it's, like I said to you, I want to preface everything.
00:14:10.500 I'm not the president.
00:14:11.500 I didn't win an election.
00:14:12.520 I'm not in the room.
00:14:13.240 I don't have access to all the information.
00:14:14.540 I'm just giving you my opinion.
00:14:16.120 This makes me uncomfortable.
00:14:17.440 It's that simple for me.
00:14:18.400 It makes me very uncomfortable.
00:14:18.940 Did you hear what happened, like, last night?
00:14:20.740 What's that?
00:14:21.800 What's her name?
00:14:22.460 Jin Fang Zhang? 0.55
00:14:23.440 She was arrested at LAX. 0.97
00:14:24.740 She's accused of working for the Chinese government
00:14:27.580 Spying on Taiwan's son 0.99
00:14:29.700 His wife, his kids 0.85
00:14:30.820 Taking pictures of his carpet
00:14:32.040 Why would you be sending that back to China 1.00
00:14:33.920 So they have leverage 0.99
00:14:35.060 If God forbid something happens
00:14:36.200 We got your son, we got your wife
00:14:38.420 Remember during Biden
00:14:40.400 Remember all those videos Tommy
00:14:41.960 You actually sent me the video 1.00
00:14:43.060 All these Chinese nationals 1.00
00:14:44.620 Bringing them into the border 1.00
00:14:46.000 None of them spoke English 0.99
00:14:47.860 Besides a terrorist guy
00:14:49.660 Dressed much differently than a lot of people
00:14:53.060 that you could see were mexican refugees absolutely coming from northern provinces you know this
00:14:57.680 h1b visa thing that tom just posted yeah you know 73 percent of the h1b visas are from india
00:15:03.600 12 are from china right you just have to also know what people are bringing these concerns
00:15:08.640 but let's be super clear yeah are we more worried about what's going on in india or with china
00:15:13.160 by the way i'm worried about both sir sure and because what's more of a worry i'll give you my
00:15:19.820 answer and it's china it's not even a question in the next five to ten years with china with in the
00:15:24.340 next five to ten years it's china yeah don't get it twisted india is doesn't think low of themselves
00:15:30.740 they think very highly by the way they should they're they're the most populated country in
00:15:35.040 the world they're the biggest democracy in the world they have and we have a decent relationship
00:15:38.380 with india should but we have rival yeah we are rivals but what i'm saying to me it's different
00:15:42.840 levels of competition you cannot sit there and just think about crisis today we built china into
00:15:50.160 behemoth because of what nixon did china's a nobody without what america did for them and
00:15:54.820 opened it up china's a nobody without what japan told them on what to do with the banks and
00:15:59.220 opening up all these banks instead of just having two national banks and you're not lending money
00:16:04.000 so so to me we built a monster and now that monster who used to be hi how are you oh very
00:16:11.720 Oh, yes.
00:16:12.320 Oh, yeah.
00:16:12.660 We're so polite. 1.00
00:16:13.680 Behind closers, we're going to eat these people alive. 1.00
00:16:16.800 They don't even know we're going to crush them. 0.99
00:16:18.880 Only the paranoia survive, baby.
00:16:20.480 And so, you know, my paranoia is to protect the greatest country in the world, and that's America.
00:16:25.020 It's that simple.
00:16:25.520 And if you have those philosophies and ideology, it's what I'm going to be doing.
00:16:29.460 It doesn't mean I'm not in the room negotiating with you.
00:16:31.480 It doesn't mean I'm not in the room talking, but there are certain things that should not be for sale.
00:16:36.120 This is one of them. 1.00
00:16:36.900 Would you completely limit H-1Bs? 1.00
00:16:39.780 No, no, no, no. 1.00
00:16:40.480 I'll tell you what I would do.
00:16:41.160 Let me just answer the question and then I'm going to come to you. 1.00
00:16:44.080 Would you completely eliminate H-1Bs from China? 0.57
00:16:47.360 So to me, the way I see this, Adam, is say you take companies that have direct impact 0.77
00:16:55.260 or maybe they're partners of America, the U.S. government, that have access to information.
00:17:01.320 So let me explain.
00:17:02.520 So let's just say Nathropik.
00:17:04.360 Let's just say Palantir.
00:17:05.980 Let's just say whoever these companies are that are working as a partner to the U.S.
00:17:10.720 government that get access to certain information that is very highly intellectual property to us
00:17:17.400 like a public private partnership yes it goes pretty if i have things like that not one single
00:17:22.580 chinese national can be working on that i'm with you not one i'm with if you're working at nike
00:17:27.380 and you're working at certain tiers like let me put it to you this way there's security there's
00:17:32.240 certain level of secret clearance and what you're doing dude there is limits of where you're going
00:17:36.940 with a certain industry.
00:17:38.380 I'm not even letting you compete with that.
00:17:39.580 Is your concern, would you do that same thing with India
00:17:42.480 or just with China?
00:17:44.140 I would do that with them as well.
00:17:46.000 Really?
00:17:46.420 Again, would you do that with every country? 1.00
00:17:48.340 By the way, do you know where Hindus lie
00:17:52.400 in joining the U.S. military?
00:17:54.580 Can you do me a favor?
00:17:55.840 Can you do me a favor and ask a simple question?
00:17:59.200 What religions or what's the way to ask it?
00:18:04.080 What immigrants that came to America, or ask the question two different ways.
00:18:10.120 What immigrants that come to America joined the military the highest?
00:18:13.040 You know, we did this research before, so I know you have it, Conor.
00:18:15.220 I know you're in the back looking at this.
00:18:16.920 You handed me this research, so it came from you.
00:18:19.440 Join the U.S. military.
00:18:20.980 Why is that important to me?
00:18:22.960 Always pay attention when people say the following.
00:18:25.260 I would never let my kids join the U.S. military.
00:18:28.600 When people say that, there are people that say this on social media, if you haven't heard them already.
00:18:35.580 That is one of the scariest things somebody says who lives in America.
00:18:39.460 You know what you're saying?
00:18:41.080 What are you saying?
00:18:42.540 Oh, I'm sorry.
00:18:43.620 Where does patriotism come from?
00:18:45.420 What is the ultimate way of showing patriotism?
00:18:47.780 Serving.
00:18:48.540 Okay.
00:18:49.140 So now don't get me wrong.
00:18:50.460 You can be a soldier in the military under a Democrat or Republican or you can do all that other stuff
00:18:57.080 and not be happy with the president like you weren't happy with Bush
00:19:00.080 or some people were not happy with all this other stuff.
00:19:02.100 But the question becomes there needs to be patriotism.
00:19:05.960 I watch, you know who's number one, by the way, that joins the military?
00:19:08.900 I think it's Presbyterian.
00:19:09.540 Is it non-denominational Presbyterians?
00:19:11.260 I think Catholics are number two.
00:19:12.900 Do you find it?
00:19:13.400 Can you zoom in, please?
00:19:14.500 Yeah, watch this.
00:19:15.300 This is it.
00:19:15.840 Yeah, zoom in a little bit.
00:19:16.960 Look at this. 0.56
00:19:18.600 Protestants are number one.
00:19:20.040 Biggest percentage of those that join the military. 1.00
00:19:22.220 You know what's the lowest one after Jewish? 1.00
00:19:24.840 Hindu. 1.00
00:19:25.700 That's where I was getting to.
00:19:26.780 You see the 0.04%? 0.99
00:19:28.560 Jews are above them by 0.03% to 0.07%. 1.00
00:19:31.280 Look at where Muslims are at. 1.00
00:19:32.760 0.15. 1.00
00:19:34.140 Then it's Buddhist.
00:19:35.700 And guess where those four people are from? 0.81
00:19:38.520 So your loyalty isn't to America.
00:19:41.500 Why don't you join the U.S. Army, the U.S. Navy, the U.S. Marines?
00:19:46.720 I have a problem with that.
00:19:48.300 So I look at you and I say, you claim you're a patriot?
00:19:50.800 I am.
00:19:51.540 Tell your kid to join the military.
00:19:53.160 No, I don't want to.
00:19:54.100 You're not a patriot.
00:19:55.820 Then you're just here to take advantage of the opportunity. 1.00
00:19:58.060 So when you're telling me, am I also concerned with Indians, 0.95
00:20:00.520 I am simply because of this data.
00:20:02.960 Contribute to society.
00:20:04.600 What do you think the parents are telling their kids?
00:20:06.900 Don't do it.
00:20:07.340 I have a – and by the way, keep this in mind.
00:20:10.260 I'm not telling you – well, they're like, well, you know,
00:20:13.080 you raise your kids the wrong way.
00:20:14.360 We tell our kids to go be engineers, doctors, and this.
00:20:17.020 I respect that. 0.57
00:20:18.280 I think the style of Indian parenting – I've done a video on them
00:20:20.920 to compliment them on how great they are with discipline 1.00
00:20:22.880 and challenging them and pushing them.
00:20:24.520 You know that one book called Tiger Mom or something like that that blew up so millions of copies?
00:20:28.800 It's a Chinese book.
00:20:29.300 It's like how hard mothers are.
00:20:31.140 And shout out to Mario's mom.
00:20:32.840 I think Mario needs to write a book about his mom.
00:20:34.720 Those stories would – it would blow up.
00:20:37.080 It's a very different story, Lester Molester.
00:20:38.840 But those are different kind of things we're talking about. 0.88
00:20:41.500 But I would consider China an enemy or a competitor.
00:20:45.880 I would not consider India a competitor.
00:20:48.840 I would consider Israel an ally.
00:20:51.400 There's different levels to this thing.
00:20:52.120 My level of paranoia for China is at a 90.
00:20:55.800 My level of paranoia for India is at a 40.
00:20:58.900 And my level of Israel not encouraging their folks to join the military here is at a 15. 0.98
00:21:05.840 I judge you. 0.89
00:21:06.820 I'm with you exactly on that.
00:21:07.760 Join the flippin' military.
00:21:10.340 Encourage your kids to join and serve in any possible way.
00:21:13.280 It's more about just giving back to your country.
00:21:15.040 It's not so much just joining the military.
00:21:16.740 You could show your patriotism by not joining the military.
00:21:19.900 That's not the only qualification of how you can show your patriots. 1.00
00:21:23.360 Why don't Hindus join the military at all? 0.93
00:21:25.180 I don't know. 0.99
00:21:25.860 I don't know the answer to that.
00:21:27.300 I didn't join the military.
00:21:28.420 That doesn't make me less patriotic.
00:21:30.260 I went to college.
00:21:31.040 I played football.
00:21:32.100 But I get it.
00:21:33.580 But I'm sorry, Adam. 1.00
00:21:35.120 Jews go join the IDF very high percentage. 1.00
00:21:37.480 They have to. 1.00
00:21:38.220 What do you mean they have to?
00:21:39.400 Why do they?
00:21:40.200 Well, in Israel, it's mandatory. 0.86
00:21:42.320 Why do they, though? 0.95
00:21:43.840 I don't know.
00:21:44.720 I didn't do that either, so ask that.
00:21:46.220 It's called patriotism towards their country.
00:21:48.960 Yeah.
00:21:49.320 And I have a problem with that. 1.00
00:21:51.560 I have a problem with Hindus, Buddhists, and Jews who don't want to join the U.S. military. 1.00
00:21:57.260 I'm sorry. 1.00
00:21:57.780 I'm a freaking middle— 0.91
00:21:58.540 Yeah, but that doesn't make people less patriotic. 0.94
00:22:02.020 There's two different things going on, I believe.
00:22:03.740 Look, I'm not making friends today.
00:22:05.480 Trust me.
00:22:05.980 Again, by me saying this, I'm not making friends today.
00:22:07.720 We're already friends, Pat.
00:22:08.340 But I'm talking about with the audience watching this.
00:22:10.160 I'm saying this to tell you.
00:22:11.880 There are certain things I don't compromise.
00:22:14.200 America has to realize the future of war is going to be very, very different.
00:22:18.620 Very, very different.
00:22:19.940 We don't just want our brilliant folks to go join Anthropic Open AI.
00:22:24.020 We also want our brilliant folks to go join the CIA.
00:22:26.880 We want our brilliant folks to go join the FBI.
00:22:29.020 We want our brilliant folks to go join the military.
00:22:31.340 We need MI in the military. 0.99
00:22:33.020 God knows we need a lot of it right now because shit's getting real. 0.99
00:22:35.940 So this isn't a parent needs to be able to say, I got a smart kid. 0.99
00:22:38.960 Hey, let me tell you, you go in the military, go MI, move up, go CIA, go FBI,
00:22:44.260 go do something that you're contributing to your country to protect
00:22:46.720 because the enemy is trying to take this away from us.
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