Latest / Connor with Honor: AI, Real Estate and Real Life / The bi sexual girls under 30 are very under represented, we need to wake up people!!!

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The bi sexual girls under 30 are very under represented, we need to wake up people!!! · Connor with Honor: AI, Real Estate and Real Life

• 0:00
  SPEAKER_00: 1%, that's the number.
• 0:02
  SPEAKER_00: 1.1% of American adults are transgender.
• 0:05
  SPEAKER_00: Roughly one in 90 people.
• 0:07
  SPEAKER_00: And yet that's one of the loudest fights in the country right now.
• 0:10
  SPEAKER_00: Schools, sports, medicine, elections, billions of dollars, endless airtime, and you think I'm trying to pick a fight, I'm not, I'm trying to make a point.
• 0:18
  SPEAKER_00: For one in ninety.
• 0:20
  SPEAKER_00: So I want to ask a question today, and then I want to actually answer it, not just float it and walk away.
• 0:25
  SPEAKER_00: What does that number, why does the number, any number, never match the actual noise?
• 0:31
  SPEAKER_00: Well, why does a tiny group, and it doesn't have to be this, it can be anything, eat the whole spotlight while the actual story sits in the dark?
• 0:40
  SPEAKER_00: And what does this have to do with a machine I use every single day?
• 0:44
  SPEAKER_00: Artificial intelligence that is now writing half of the headlines you scroll past.
• 0:49
  SPEAKER_00: So stay with me on this because at the end of this, you're gonna see the trick.
• 0:53
  SPEAKER_00: And once you see it, you're not gonna be able to unsee it.
• 0:55
  SPEAKER_00: So let me start with the real numbers because they tell a different story than the one that you're being sold.
• 1:00
  SPEAKER_00: Gallup, 2025, most watched measure of this in the country.
• 1:06
  SPEAKER_00: 9% of American adults identify as something other than heterosexual.
• 1:10
  SPEAKER_00: Okay, under 10%, 9%.
• 1:13
  SPEAKER_00: Not a majority, not a third, not even close to a quarter, but 9%.
• 1:17
  SPEAKER_00: And here's where this gets interesting.
• 1:19
  SPEAKER_00: And of course, if you're part of the 9%, it means the world to you, but inside that 9%, the biggest group by far is not who you would think.
• 1:28
  SPEAKER_00: It's bisexual women under 30.
• 1:31
  SPEAKER_00: How interesting.
• 1:32
  SPEAKER_00: That's the biggest part of the group.
• 1:34
  SPEAKER_00: 5.3% of all American adults are bisexual.
• 1:39
  SPEAKER_00: That's more than half of the entire group.
• 1:41
  SPEAKER_00: Gay men, 1.6%, lesbians, 1.4%, transgender, 1.1%.
• 1:48
  SPEAKER_00: Now sit with that for just a second.
• 1:49
  SPEAKER_00: The group that takes up the most political oxygen in America is the smallest one on the list.
• 1:56
  SPEAKER_00: And the group that's actually driving the numbers up, young bisexual women under 30 gets almost no airtime at all.
• 2:05
  SPEAKER_00: Nobody's gonna go on cable news right now to fight about young bisexual women under 30.
• 2:11
  SPEAKER_00: Why?
• 2:12
  SPEAKER_00: Because they're not useful.
• 2:13
  SPEAKER_00: That's the whole answer.
• 2:14
  SPEAKER_00: I mean they are.
• 2:16
  SPEAKER_00: I'm not gonna go there, but let me say it plainly.
• 2:18
  SPEAKER_00: Airtime doesn't track size.
• 2:20
  SPEAKER_00: Airtime, well, it tracks usefulness.
• 2:22
  SPEAKER_00: A topic gets loud not because a lot of people are in it.
• 2:26
  SPEAKER_00: It gets loud because somebody can use it.
• 2:29
  SPEAKER_00: They can use it to raise money, they can use it to win a vote, they can use it to keep you scared or angry or scrolling.
• 2:36
  SPEAKER_00: The 1.1% is not loud because it's big, it's loud because it's a perfect tool.
• 2:43
  SPEAKER_00: It touches kids, it touches schools, it touches sports and medicine and religion.
• 2:49
  SPEAKER_00: Every one of those is a nerve.
• 2:51
  SPEAKER_00: And when you press on a nerve, people react.
• 2:54
  SPEAKER_00: They donate, they share, they vote, they click, they spend time.
• 2:59
  SPEAKER_00: So one raises money defending it, the other side raises money attacking it, and 1.1% because a sim becomes a symbol that both sides use to pull cash and attention.
• 3:10
  SPEAKER_00: They extract it right out of you.
• 3:11
  SPEAKER_00: Meanwhile, the boring, statistically large group sits there untouched because, well, you can't build a war machine out of something nobody is afraid of.
• 3:20
  SPEAKER_00: That's the first thing I want you to understand.
• 3:22
  SPEAKER_00: The size of a group and the amount of fighting about it are almost completely unrelated.
• 3:28
  SPEAKER_00: The volume has never been about the math.
• 3:30
  SPEAKER_00: Now, here's the turn because if you think that distortion was bad before, wait till you see what's running the engine right now.
• 3:39
  SPEAKER_00: The machine that decides what gets loud just got an upgrade.
• 3:43
  SPEAKER_00: And it's the same machine I deploy in my businesses every day.
• 3:47
  SPEAKER_00: Not for the same point.
• 3:48
  SPEAKER_00: I use it for different things, but artificial intelligence is now writing, raking, and recommending a massive share of what you see online, almost 100%.
• 3:58
  SPEAKER_00: And AI doesn't care what's true.
• 4:00
  SPEAKER_00: AI cares what's hold your holds your attention.
• 4:04
  SPEAKER_00: AI isn't doing it on its own.
• 4:06
  SPEAKER_00: It's being implemented by human beings wanting to get your attention.
• 4:09
  SPEAKER_00: That's what it's trained to do.
• 4:11
  SPEAKER_00: That's what they train it to do to keep you here, keep you strolling, keep you clicking.
• 4:16
  SPEAKER_00: So watch how this works.
• 4:17
  SPEAKER_00: Watch the trick.
• 4:18
  SPEAKER_00: So story number one: AI is gonna come for your job.
• 4:20
  SPEAKER_00: There's another one.
• 4:21
  SPEAKER_00: Robots are taking over, accountant is finished, paralegal done, truck driver, coder, customer service rep all replaced, mass unemployment.
• 4:30
  SPEAKER_00: It's the end of work as we know it.
• 4:32
  SPEAKER_00: That story gets clicks.
• 4:34
  SPEAKER_00: Fear always gets clicks.
• 4:36
  SPEAKER_00: Fear is the oldest currency there is.
• 4:39
  SPEAKER_00: Here's the second story, the exact opposite.
• 4:42
  SPEAKER_00: AI, it's gonna save us.
• 4:44
  SPEAKER_00: It's gonna cure cancer.
• 4:45
  SPEAKER_00: It's gonna give every kid a personal tutor.
• 4:48
  SPEAKER_00: It's gonna free you from the boring work so you can finally live.
• 4:52
  SPEAKER_00: A new golden age is being ushered in, and it's the age of abundance.
• 4:57
  SPEAKER_00: The worst thing you're gonna have to do is worry what it's like not having a job, but getting to explore yourself and become your best version of you and live forever.
• 5:06
  SPEAKER_00: Well, that story, well, it gets clicks too.
• 5:08
  SPEAKER_00: Hope sells just as hard as fear does.
• 5:11
  SPEAKER_00: Hope is actually fear's twin.
• 5:13
  SPEAKER_00: So here's what I need you to see.
• 5:15
  SPEAKER_00: Both stories, they can't be true at the same time.
• 5:17
  SPEAKER_00: AI can't both end all work and free all work.
• 5:20
  SPEAKER_00: Those are opposite outcomes.
• 5:22
  SPEAKER_00: Both stories make money, same machine, opposite costumes.
• 5:25
  SPEAKER_00: Both paid by for your attention.
• 5:28
  SPEAKER_00: Now, it's like a magician working two crowds at once.
• 5:32
  SPEAKER_00: To the nervous crowd, he says the trick is dangerous.
• 5:35
  SPEAKER_00: To the hopeful crowd, he says the trick will change your life.
• 5:38
  SPEAKER_00: It's a different pitch, same hat, same dollar, coming out of the same pocket that's yours.
• 5:43
  SPEAKER_00: And now the AI itself is generating both versions at scale for free or on the clock, faster than any human newsroom ever could.
• 5:50
  SPEAKER_00: The fear article and the hope article are being written by the same kind of model optimized for the same thing, your eyeballs and your attention.
• 5:58
  SPEAKER_00: Now I'm not telling you this from the outside.
• 6:00
  SPEAKER_00: I deploy these tools.
• 6:01
  SPEAKER_00: I build with them, I see what we have available.
• 6:04
  SPEAKER_00: The people on the inside have something even better.
• 6:07
  SPEAKER_00: I know exactly how good they are at finding the words that make you stop and stare.
• 6:11
  SPEAKER_00: That's not a conspiracy, it's math.
• 6:13
  SPEAKER_00: The model is doing precisely what it was built to do.
• 6:16
  SPEAKER_00: So I'm going to bring it home here because this is the part that actually matters for your life.
• 6:20
  SPEAKER_00: When the number never matches the noise, it never matches.
• 6:24
  SPEAKER_00: When the machine writing the noise only cares about your attention, you have to ask the real question what ends up being true?
• 6:30
  SPEAKER_00: What is true?
• 6:31
  SPEAKER_00: Not what's loud, not what's trending, not what made you angry this morning before your coffee was even done, but what is actually true.
• 6:39
  SPEAKER_00: And here's where a lot of people give up.
• 6:41
  SPEAKER_00: They throw their hands in the air and say, Well, you know what?
• 6:44
  SPEAKER_00: Nothing's true, it's all spin.
• 6:46
  SPEAKER_00: Everybody has an agenda, so why am I bothering?
• 6:49
  SPEAKER_00: I'm going to tell you straight, that's a lazy answer.
• 6:52
  SPEAKER_00: Low-hanging fruit, and it's wrong.
• 6:54
  SPEAKER_00: Yes, everybody has an agenda.
• 6:55
  SPEAKER_00: Almost every story you see shaped by somebody who wanted something from you.
• 6:59
  SPEAKER_00: That part, real.
• 7:01
  SPEAKER_00: But the existence of a thousand lies doesn't mean there's no truth underneath them.
• 7:05
  SPEAKER_00: 1.1%, that's true.
• 7:07
  SPEAKER_00: It's a real number measured carefully by people who count things for a living.
• 7:12
  SPEAKER_00: The number on top of it is the agenda.
• 7:15
  SPEAKER_00: The number under it is the truth.
• 7:17
  SPEAKER_00: AI replacing some jobs, true.
• 7:20
  SPEAKER_00: AI helping in subjobs, true.
• 7:23
  SPEAKER_00: The screaming headlines on both ends are the agenda.
• 7:26
  SPEAKER_00: The measured reality in the middle, that's the truth.
• 7:30
  SPEAKER_00: The truth didn't disappear, it just got buried under all the nonsense and noise.
• 7:35
  SPEAKER_00: There's a difference between truth being gone and truth being hard to find.
• 7:39
  SPEAKER_00: And those two things feel like the same when you're tired and scrolling and getting yelled at from every direction because they are not the same.
• 7:47
  SPEAKER_00: Truth still exists.
• 7:49
  SPEAKER_00: Most people just stop looking for it.
• 7:51
  SPEAKER_00: They stop because looking is work.
• 7:53
  SPEAKER_00: Looking means reading past the headline.
• 7:55
  SPEAKER_00: Looking means checking who profits from the story.
• 7:58
  SPEAKER_00: Looking means asking.
• 8:00
  SPEAKER_00: What is the actual number?
• 8:01
  SPEAKER_00: Who counted it?
• 8:02
  SPEAKER_00: Who is screaming about it and why?
• 8:04
  SPEAKER_00: That's not glamorous.
• 8:06
  SPEAKER_00: Nobody builds a viral video of let me go read the source data like this one.
• 8:10
  SPEAKER_00: But there's there, this is where the truth has always been.
• 8:14
  SPEAKER_00: Down at the bottom under the noise, waiting for the small number of people who still bother to dig.
• 8:19
  SPEAKER_00: So this is my ask of you today.
• 8:22
  SPEAKER_00: And it's the whole point of this episode.
• 8:24
  SPEAKER_00: Be one of those people who still look when the next story sets your hair on fire.
• 8:30
  SPEAKER_00: Fear or hope, left or right, AI Doom or AI Heaven.
• 8:34
  SPEAKER_00: Stop for one second and ask the three questions.
• 8:36
  SPEAKER_00: Three, what's the actual number?
• 8:39
  SPEAKER_00: Who profits from me believing this?
• 8:42
  SPEAKER_00: And where is the source the real one?
• 8:45
  SPEAKER_00: Not the headline about the source.
• 8:47
  SPEAKER_00: You do that, and the machine loses its grip on you.
• 8:50
  SPEAKER_00: Not all the way, but enough.
• 8:52
  SPEAKER_00: Enough for you to think for yourself again, at least for a moment.
• 8:57
  SPEAKER_00: Because the agenda is almost always the same agenda underneath.
• 9:00
  SPEAKER_00: That's attention.
• 9:01
  SPEAKER_00: And attention is almost always money.
• 9:03
  SPEAKER_00: That's your money.
• 9:04
  SPEAKER_00: Leaving your pocket, your pocket, one click at a time, your click.
• 9:09
  SPEAKER_00: People building these systems are not thinking about you.
• 9:13
  SPEAKER_00: That's not evil, it's math.
• 9:15
  SPEAKER_00: So we need to think about us.
• 9:17
  SPEAKER_00: We need to think about ourselves.
• 9:18
  SPEAKER_00: So that's that job now.
• 9:20
  SPEAKER_00: In a world where the loudest thing is rarely the truest thing, your edge is that you're still willing to go look.
• 9:25
  SPEAKER_00: Truth exists, it always did.
• 9:27
  SPEAKER_00: Most people just stop looking.
• 9:29
  SPEAKER_00: Be the one who keeps looking.
• 9:31
  SPEAKER_00: Well, that's the mission.
• 9:32
  SPEAKER_00: AI for everybody, not just the wealthy.
• 9:34
  SPEAKER_00: Eyes open for everyone, not just the few who bother to dig.
• 9:38
  SPEAKER_00: You be safe out there.
• 9:40
  SPEAKER_00: I will see you tomorrow.
• 9:41
  SPEAKER_00: Be well.