12/1/2025 - High Schoolers Are Curing Lyme Disease. This Is the New Age of AI.

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0:08 Producer Brandon in the house. We're
0:09 live.
0:11 We're shaking. What's happening?
0:14 Going to come up for a sec while
0:18 Hello. No one's here. Hello.
0:22 What?
0:23 It does it does tend to impede the
0:25 audience when you tell everyone you're
0:27 not going to go live and then
0:29 >> did I say I wouldn't go live?
0:31 >> You said we were probably going to be
0:32 off this week. I I did put in irregulars
0:35 that it was kind of up in the air and we
0:37 weren't sure. But I think the running
0:40 thought was that tonight was going to be
0:42 off and tomorrow we were going to do the
0:44 uh salon presents. But
0:45 >> Vicki Vicki contradicting you. Vicki
0:47 says no you didn't. [laughter]
0:51 Maybe I said it to you.
0:53 >> I don't know. Whatever. Um, you said you
0:55 would try to go live. I I'm trying. I
0:57 have a headache and I'm on my um I'm on
1:03 cell data. There's no Wi-Fi. So, I'm in
1:05 a brand new a brand new New York City
1:08 studio apartment that a friend is
1:10 loaning me. There's no furniture in it.
1:12 I'm on a blowup bed. Um there's no
1:14 nothing on the walls. [laughter]
1:17 So,
1:19 oh man. All right,
1:21 >> let me uh let me update uh everyone. The
1:24 cat says hi.
1:29 >> All right, go.
1:35 >> What's the update? Oh, you're gonna
1:37 update everyone back there.
1:39 >> Yes, on it. U on Okay, Gi, Gy, Gy, Gvy,
1:45 I'll see you out there. Okay,
1:47 >> bye.
1:50 Good day, good people. Good people.
1:53 What's happening? Um, I guess I'll do
1:56 this
1:58 since we're talking. How's the hair?
2:00 God, always checking the hair. I do look
2:02 like I'm in a bit of a
2:05 good day. Some poor papaya guitar.
2:09 Some poor papaya guitar.
2:14 Oh, looks great.
2:16 All right,
2:19 looking sharp. Cam Ken from Cleveland. I
2:22 am in New York City. I'm in New York
2:25 City on 71st and Second Avenue. Um,
2:31 all right. Hang on. I got to get myself
2:34 situated here. I had I was sitting in a
2:37 different spot right before I went live
2:39 and there was a giant light fixture
2:40 above my head and it was weird. It was
2:43 causing a weird glow.
2:46 Um,
2:48 all right.
2:50 So,
2:52 so a couple of things. Um, see, he he
2:56 just can't quit us. Um, I do have a
2:59 headache. I am on shitty Wi-Fi or no
3:02 Wi-Fi. I'm on on cell bandwidth. So, if
3:04 it goes crazy, that's what's going on.
3:08 And I think I got a text from AT&T
3:12 two days ago saying, "Pay your damn
3:13 bill." So, [laughter]
3:16 which I haven't done yet. So, if uh if
3:18 they make me go away, it's because I
3:20 didn't pay my damn bill. [laughter]
3:24 Um
3:25 okay. So, a couple of things. One is
3:28 yesterday
3:31 um was happy birthday. Happy third
3:34 birthday.
3:37 It's late here. Hey, did you know this?
3:40 Um,
3:42 if you go live at 8:00 p.m. in Denver
3:48 in New York City, that means your start
3:51 time is 1000 p.m.
3:54 [laughter]
3:55 That's Brandon knows this well
3:58 because he's in even though he's in
4:00 you're in my time zone now, baby. Even
4:02 though he's in uh Cleveland, which you
4:04 think Cleveland full-on Midwest, right?
4:07 You got Pennsylvania, you've got and you
4:10 got to drive across a big part of it to
4:12 get there. It It's still East Coast
4:14 time.
4:16 It's still East Coast time. I don't know
4:18 how they pulled that one off. I think it
4:19 was some sort of redistricting. There
4:21 was gerrymandering involved.
4:24 Clearly a Midwest town, but no, East
4:27 Coast time. So, producer Brandon knows
4:30 this time very well. I don't. This is
4:33 exhausting. I don't know who came up
4:34 with this idea. It's a shitty idea.
4:38 Start Start a live at 1000 p.m.
4:42 [sighs]
4:43 It's exhausting, people. Um, hang on. I
4:46 got to put on shoes because the little
4:48 the little stool I'm on has got foot
4:51 rests, but they are sharp.
4:55 This is I'm in a very different I'm in a
4:58 very different $20 million studio.
5:01 [laughter]
5:03 Um, [clears throat]
5:05 but
5:07 okay.
5:10 I know this very well. My doctor wants
5:12 me to move west to learn AI. [laughter]
5:17 Oh, now you know how we feel. I do. This
5:19 is horrible. It's just It's unacceptable
5:22 on all levels. All right.
5:25 Wait till we green screen you. Oh, yeah.
5:27 This is totally You can green screen me
5:28 right up.
5:30 Um, okay. So, a little bit of
5:33 philosophical stuff here. Um,
5:38 let me just get my screens
5:41 screens where they need to be.
5:45 There we go.
5:47 Um, [clears throat]
5:50 I think I'm going to leave it like this
5:52 for now until I show something.
5:55 I think. Yeah. Should I? I don't know.
6:00 Um,
6:03 you
6:08 are a little little double chinny on
6:10 TikTok. Oh, I see what he's saying. I
6:13 see what he's saying. He's [snorts] He's
6:16 saying you're a fat [ __ ]
6:18 [laughter]
6:19 I don't think Brandon would ever use
6:20 those words, but that's what he meant.
6:23 He's not wrong. Okay.
6:28 And by the way, I can barely see the
6:31 post-it notes there, Brandon. So, and
6:33 I'm going to turn off comments.
6:39 [snorts]
6:43 So, Brandon, if you want me to see a
6:46 comment, um, make it go live on screen.
6:54 Leave it. This is fine. They see they
6:56 don't mind my double chin. Why does chat
6:58 GPT voice only use 40 and not five or
7:00 5.1?
7:02 Um, I'll tell you, Cam Katkin, even
7:05 though we're we're uh celebrating Open
7:08 AI's
7:09 third year anniversary this week. Um,
7:13 and by the way, I don't know if you can
7:15 hear that. I'm in I'm in New York City.
7:17 The sirens are going, the horns are
7:20 blaring.
7:22 Love this town. Um, before you continue,
7:25 change it back because we don't have
7:27 your construction paper. They didn't it
7:29 didn't make it through TSA.
7:31 >> So, keyboard is uh finding everything.
7:34 >> Um, also um uh Sharon Crawford says you
7:38 are uh looking like you're in the county
7:41 jail.
7:42 >> Yeah, I know. I can't I am I am like
7:45 literally so the the person that's
7:47 lending me her apartment, she got it a
7:49 week she got the keys a week ago and
7:52 it's so small that her sofa didn't fit
7:55 into the door. Um so uh there's nothing
8:00 there's literally nothing. So yes, I am
8:01 effectively in a county jail.
8:03 >> Did you try the friend's pivot method?
8:06 >> What's that?
8:07 >> The for the couch to get it in.
8:09 >> Oh yeah, they tried everything.
8:10 [laughter]
8:12 We should be good.
8:16 >> The Atlantic magazine had an article
8:18 about Microsoft being Sydney at the AI
8:22 falling in love. Did they that was
8:23 recently they had that? Because that's a
8:25 three-year-old story. Maybe that was a
8:26 retrospective because of uh because of
8:29 the the anniversary. Anyway, um it's
8:32 three years.
8:34 So, I said this on Twitter. I think
8:38 I feel like the last three years um Oh,
8:42 I'll get to that question in a second,
8:44 Cam. I feel like the last three years
8:46 have felt like three months and three
8:48 decades simultaneously. We are
8:51 definitely in some sort of universe warp
8:54 where I, you know, time is just weird
8:57 and irrelevant at this point. um
9:02 like a lot has gone on and and
9:05 in case you're not aware of it. Um there
9:10 was a lot of AI in the world before chat
9:12 GPT came along, I started this channel
9:15 and I started the AI salon uh
9:19 and I started really paying attention to
9:21 this AI stuff. The week chat GPT came
9:23 out. Right. To me, November 30th, 2022
9:26 marks a seminal moment in history, in
9:29 human history. Um, that's the moment the
9:33 chat GPT launched. That's the moment
9:35 that you didn't have to be an engineer
9:39 to be able to tap into the power of AI,
9:42 right? So, we we had specialized AI for
9:45 years and this general kind of, you
9:49 know, chatbot that we have now didn't
9:51 exist. Time is weird. time is very weird
9:53 right now. Um,
9:57 so our ability to do all the stuff that
10:00 we've talked about on this channel has
10:02 effectively
10:04 um been in the world for three years.
10:06 That's it. That's it. Um, if you think
10:09 that that's a long time, it's not. If
10:11 you think that we are in a hype bubble,
10:14 we're not. Like, I don't even think the
10:16 hype has begun yet. I think 2026 is
10:20 probably going to be the year where we
10:21 start seeing some madness hype kind of
10:23 stuff. Um, but it might be 2027, but I
10:27 think 2026 is going to get weird.
10:30 Um,
10:34 so that's kind of fun. That's kind of
10:36 cool, right? Um, the why does chat GPT
10:41 use um 4.0 40 instead of five or 5.1?
10:47 Because
10:49 from what I can gather
10:52 and this is pure chat TMZ. I don't have
10:55 any I don't have any factual basis for
10:57 this but from what I can gather
11:01 the culture at OpenAI is gather in small
11:05 teams innovate [ __ ] and if what you
11:08 innovate is cool we'll launch it.
11:12 So that's why you end up with things
11:14 like we're going to launch custom GPTs
11:16 and then we're going to launch the GPT
11:18 store and then Sam Alman says the GPT
11:20 store is going to be everything unstable
11:23 connection. If I'm going in and out it's
11:25 because I don't have Wi-Fi
11:28 and then OpenAI just ignores the app
11:31 store. For three years we haven't heard
11:33 or two years we haven't heard an update
11:35 on it, right? Um, so things like
11:40 advanced voice not using the latest
11:42 model probably because they didn't have
11:44 a a team integrating it and they wanted
11:47 to get five 50 5 and 51 out faster than
11:52 competitors.
11:55 So I think it's just they're they're
11:57 running very fast.
12:00 I think that's what's going on there.
12:02 Um,
12:06 the other thing that I've been spending
12:09 a lot of time Tik Tok question, how many
12:12 VL31 generations do you get in the VL?
12:16 What's VL3.1? Oh, VO. VO probably.
12:23 Do you get on the yearly plan? They
12:25 don't give you a number. Um, probably
12:33 here's my prediction. The amount of
12:34 video generations you get for your
12:36 annual plan is not enough.
12:41 I don't know if you're going to actually
12:43 try to do anything with video. Um, video
12:46 is really expensive still. Um, there's
12:49 there's a new Chinese model that came
12:51 out, I don't know, last week or
12:52 something like that that you would have
12:53 to install yourself. um that I think is
12:56 much cheaper because you can run it on
12:57 servers and it's just your compute time
12:59 that you're paying for. You're not
13:00 paying a retail markup. Uh but all the
13:03 video stuff's still really expensive. Um
13:05 I use Chat GPT because of you and have
13:07 created prompts that save my company
13:11 $130,000 in SA salary annually. That's
13:14 great. That's awesome. Um thank you for
13:16 the acknowledgement.
13:18 Um,
13:20 and what's what's
13:22 what I hope is is is the case is that
13:26 that $130,000 a year salary can go
13:29 toward, you know, keeping someone and
13:31 leveling them up to do something else,
13:33 right? There's two ways you can when you
13:36 have when you have a savings of 130
13:39 grand a year, there's two places there's
13:41 two ways you can do that. One is you can
13:43 let go of people. The other one is you
13:45 can do new things with the same amount
13:46 of people. and you can do, you know,
13:49 other kinds of uh activities for them.
13:51 So hopefully it's that. Is it raining in
13:54 New York? It was raining yesterday.
13:55 Yesterday was horrible. Today was fine.
13:57 Today was nice. Found out that AI Studio
14:00 uses Gemini 3 to write code, but only
14:03 ship ships apps
14:05 that use 2.5 Flash. Fascinating. Oh,
14:09 that's why it always switches to 2.5
14:10 Flash when you're trying to write
14:12 something. Absolutely. the sky is the
14:15 limit with more automations. Thank you.
14:17 Well, thank you. Thank you for the
14:19 acknowledgement.
14:20 Um, you know, it's funny what what
14:22 you're what you're hitting on is a is a
14:25 is is scratching the surface of
14:27 something I've been thinking about a
14:28 lot.
14:30 And I saw two stories in the past day.
14:35 Saw one last night and I saw one today.
14:39 Um, and I've got them on on uh on X. I
14:43 can pull them up, but I don't think we
14:45 need to. One is on 60 Minutes last
14:48 night, there's a high school in Georgia
14:52 that has this program called GEM, GM,
14:56 which stands for something.
15:00 And so it's like an advanced
15:04 science class. People are literally
15:06 moving from all over the country to be
15:10 in that school district so that their
15:12 kids can apply to be part of this
15:15 program that accepts 10 students.
15:18 They're high school students. They're
15:21 high school students. They're high
15:24 school students
15:26 that used Crisper.
15:28 you know, crisper, the gene editing
15:31 technology, you know, where you can edit
15:34 DNA.
15:38 A group of high schoolers created a new
15:43 crisperbased technology
15:47 that can detect Lyme disease in the
15:49 blood two days after you get bit.
15:52 The current technology is 2 weeks after
15:55 you get bit. And getting to Lyme disease
15:57 quickly, trust me, I know, is really,
16:01 really important.
16:04 2 days after someone gets bit, here's
16:07 the more remarkable thing. The same
16:10 technology that they used to make the
16:13 detection
16:15 test
16:17 is also going to be able to use to treat
16:19 it
16:21 because they can identify the protein
16:23 that is doing the damage. and therefore
16:24 they can go in and do some editing and
16:26 [ __ ] up the bacteria that cause Lyme
16:27 disease.
16:30 They're in high school.
16:33 They're in high school.
16:36 Unstable connection.
16:39 Um then I wanted to show you this dude.
16:42 This This one's worth showing.
16:45 Yeah, this guy.
16:47 You can see that, right? Here we go. All
16:50 right. Watch this. And so my novel mind
16:54 controlled bionic arm was intended to
16:56 address these shortcomings. So using
16:58 tiny non-invasive electrodes, I was able
17:01 to pick up fuzzy residual electrical
17:03 activity on the forehead. I theorized
17:06 that deciphering those obscure service
17:08 level signals could potentially allow
17:11 the interpretation of frontal lobe brain
17:13 wave activity. And so I con conducted
17:15 this IRB approved study to collect
17:18 thousands of brainwave data points from
17:19 a diverse group of human subjects. And
17:22 by using this acquired data to train a
17:24 complex artificial intelligence-based
17:27 mind readading algorithm, I was able to
17:29 discern uh bonafide user thoughts from
17:31 scalp electrical activity. And so my
17:33 final algorithm involves over 23,000
17:36 lines of handwritten code and over 900
17:38 pages of calculus intensive math. No
17:41 existing system has been able to achieve
17:43 this. the the accuracy that my system
17:45 has. And so in a series of rigorous
17:47 tests, my provisionally patented
17:49 neuroprostesis has achieved a similar
17:52 performance to that of the world's
17:53 industry-leading $450,000 plus invasive
17:57 prosthetics. Uh the arm is extremely
17:59 durable, lightweight, and has no
18:00 surgical requirement. And my entire
18:02 system costs less than $300 to produce.
18:12 He's 17. Now granted,
18:15 the dude's the [ __ ] genius, right?
18:17 He's wicked level smart.
18:20 17.
18:22 The current solution that does what his
18:25 thing does is $450,000.
18:28 His solution, $300 without surgery.
18:33 Right. [laughter] So, I assume that was
18:35 a a spit in the eye of Elon Musk.
18:38 >> [laughter]
18:41 >> Um
18:48 the
18:50 the acknowledgement from Dove Inc.
18:54 The acknowledgement from Dove Inc. that,
18:58 you know, they've figured out a way to
19:00 prompt Chat GPT
19:02 to save 130 grand a year in their
19:05 company
19:07 is is all in a continuum.
19:11 And
19:12 three years into this generative AI
19:14 stuff, I'm more convinced than ever this
19:18 ain't going away. And when I see stories
19:21 like the Crisper story, the the the IGM
19:25 class out of Georgia, and I see this
19:27 kid, what's his name? Doesn't say. Um
19:33 creating a a brain interface that's
19:35 accurate enough to control a robotic
19:38 hand for 300 bucks without surgery.
19:46 You've got to understand that we're
19:48 entering, we're not in it. We're
19:51 entering
19:53 an era
19:55 where you,
19:58 you, you, me, you, all of us
20:06 can do anything we want.
20:11 Can do anything we want.
20:15 Now, I'm sure there's a troll or two in
20:17 here going, "Wh the code's not really
20:20 good." You know, the the the physics in
20:22 the video models are,
20:25 you know, them.
20:30 Pay attention to what's actually
20:31 happening.
20:35 A high school class
20:38 in Georgia may come up with a novel
20:41 treatment for Lyme disease when no one
20:43 else is paying the [ __ ] attention to
20:45 Lyme disease.
20:48 This kid patented his thing there
20:53 may solve mobility issues at a at an
20:56 affordable price for anyone who's got
20:59 them.
21:01 We are entering an era where anyone can
21:03 do anything.
21:05 You don't need to go to Stanford. You
21:07 don't need to have
21:10 30 years of experience. You don't need
21:12 to have a big lab.
21:15 Right now, the high school lab
21:19 in Georgia is very well funded. It's in
21:21 the most affluent school district in
21:23 Georgia in in their part of Georgia.
21:29 So there's resources there. But like I
21:31 said, we're at the we're at the
21:32 beginning of this. And so so then the
21:34 question becomes this.
21:37 How do I get good at AI? What's the best
21:39 AI tool? How do I get good at AI? What's
21:41 the best AI tool? What am I supposed to
21:42 learn? If I go to school, what am I
21:44 supposed to study?
21:49 Kyle, why isn't our lab as fancy? I know
21:52 issue. You're absolutely right.
21:54 Um. Ah, dove ink just hit it. Dove ink
22:00 just hit it.
22:03 You just need ideas,
22:05 practice, and to keep trying. It's
22:08 easier than we thought.
22:10 Our job moving forward, our job
22:16 is going to be come up with ideas. Our
22:20 job is going to be
22:24 to take an inventory of who you are,
22:27 what your values are, what you want to
22:30 do in the world, who you want to impact,
22:32 how you want to impact them,
22:36 and then hold on for dear life
22:40 as AI
22:42 brings that concept
22:45 to life for you.
22:48 That's going to be our job. I mean, I I
22:52 I'm as convinced of this as anything
22:54 that I've ever been.
22:58 I saw I saw a funny thing. Um, not a
23:00 funny thing. I saw an interesting thing
23:02 from Kiri who spoke at the AI salon last
23:06 week or last month or the month before,
23:09 whatever. But she's created this no
23:11 spoon automated video storytelling
23:14 platform, right?
23:17 And someone on her Twitter asked her,
23:20 "If everyone can just make movies,
23:24 why would anyone watch anything? If
23:26 every if if there's just movies
23:28 everywhere,
23:30 why would anyone watch anything?" Well,
23:34 because when everyone can make
23:36 everything
23:38 right now, the bottom the worst films in
23:42 the world live down here. And when AI
23:45 gets really good, the bottom is going to
23:48 elevate. So the the worst films in the
23:50 world are going to be better than the
23:52 worst films in the world today. Right?
23:54 So here we are today. Here we are
23:57 tomorrow, you know, two years from now.
24:01 This is still the bottom even though
24:03 it's deeper, right? It's closer to the
24:05 surface. Brilliant is still way up
24:08 there. Brilliant is still off the
24:10 screen, right? The shitty went from here
24:13 to here. Now, everyone can do at least
24:16 this quality of storytelling.
24:19 What rises above that?
24:23 Human
24:25 beings with ideas, actual storytellers,
24:29 people with something to say, people who
24:31 know who their audience is, what will
24:34 resonate with them or or what resonates
24:35 with them personally that they know
24:37 their audience might like. and they will
24:40 put some idea into these tools that
24:42 everyone has access to and they will do
24:44 it in a way that's slightly different.
24:46 Why do people pay attention to Kelly
24:48 Bosch's work?
24:51 She's using the same [ __ ] tools. In
24:54 fact, she tells you what tools she's
24:57 using
24:59 in every video she does. She tells you
25:01 this was clinging. This was midjourney.
25:04 The dancing was this. The song was every
25:07 single video she tells you that.
25:10 Why is why does her work stand above?
25:13 Because of her.
25:16 So it's going to happen in the creative
25:17 arts. It's going to happen in the
25:19 sciences. It's going to happen in
25:20 business.
25:22 Everyone can do everything.
25:25 The only stuff that's going to stand out
25:27 is stuff where human beings say, "Oh,
25:33 I've got an idea. I know how I could
25:36 change the world. I know how how I could
25:40 you know what you know what really sucks
25:41 right now because of the insurance
25:44 companies doctors are legally prevented
25:49 from treating Lyme disease
25:52 and therefore the scientific community
25:54 has no interest in finding a cure.
25:58 Wouldn't it be cool
26:00 if our little high school project
26:05 was to cure Lyme disease?
26:09 What? What?
26:12 It doesn't make sense. And yet that's
26:16 the world we're entering.
26:19 So I say this for a couple of couple of
26:21 things. We we recently started in the AI
26:24 salon this thing called the AI um the AI
26:27 salon mastermind practice
26:31 and what it is it's a framework for each
26:34 of you to design a daily practice
26:39 around how you use AI and the daily
26:41 practice is
26:45 is a practice it's a practice like you
26:48 practice
26:50 you say you know who am I?
26:55 How do I feel about this? That one makes
26:58 me feel icky. I don't like that. What do
27:00 I want to do? What are my values?
27:02 How how am I going to learn?
27:05 How am I going to play with AI in such a
27:07 way that I actually learn something
27:08 that's in line with my values?
27:12 You can do that.
27:14 And that's what it's about. And
27:17 and here's what I don't know. And this
27:19 this is the part this is the part that
27:21 that wigs me out a little bit.
27:25 I know deep in my soul that the people
27:28 that are going to be rock stars, like
27:30 [ __ ] rock stars using AI are going to
27:34 be people who treat AI like a practice,
27:37 who really understand who they are,
27:39 really understand what their values are,
27:41 really understand
27:43 what all these tools make possible,
27:46 and figure out a way to put stuff in the
27:48 world. I know that's that's going to
27:49 change the world. I know those are going
27:51 to be the rock stars.
27:52 I don't know how long it's going to take
27:54 for that broader realization to happen.
27:58 But what I can tell you is if you start
28:01 right now doing a daily practice with AI
28:07 and you know daily practices are rough.
28:11 You know, you know why they call them
28:12 daily practices? Because you have to do
28:15 [ __ ] daily.
28:18 [snorts] And if you're not doing it
28:21 daily,
28:23 you're being left behind, right? And
28:26 doing it daily does not mean you've got
28:27 to learn every AI out there. No, no, no.
28:30 Quite the contrary. I think it's I think
28:31 it's actually quite the opposite. The
28:34 daily thing is who am I? What do I want
28:36 to do? Have I learned enough to
28:38 understand what's possible today? And
28:40 and am I clear enough on who I am that I
28:44 know what I want to do in the world?
28:45 That I know the change I want to make.
28:48 And then, okay, so you decide you want
28:52 to make the world safe for washing
28:55 llamas commercially.
28:58 [laughter]
28:58 It it literally doesn't matter, right?
29:02 You can do whatever you want to do.
29:05 And then it's going to be on you to
29:06 figure out, well, what do I need to
29:08 learn? What AI tools do I need to be
29:11 able to pull this thing off? What what's
29:12 my marketing? What's my business plan?
29:14 What's my go to market strategy? How do
29:17 I sell this thing? How do I do the ads?
29:20 I would think if I'm going to do a llama
29:22 washing
29:24 business,
29:26 it probably make a good song.
29:29 We can probably do some good songs
29:31 [laughter] and some good video ads of
29:33 dirty llamas.
29:36 Don't let your llama be dirty,
29:39 right? So, you got to go learn all that
29:40 stuff. And and learning all that stuff
29:43 is going to be icky, right? the ick.
29:46 You're going to have to embrace the ick.
29:48 You're gonna have to embrace the fact
29:50 that you may not you may not have the
29:52 confidence
29:56 to even think
29:59 like who am I
30:01 to make the world safe for llama washing
30:04 in public.
30:08 The toughest part of the daily practice
30:10 is not the technology. The toughest part
30:12 of the daily practice is you confronting
30:14 who you are and what your insecurities
30:17 are and
30:21 the limitations that you know like know
30:25 in your soul
30:30 you can't do
30:33 right. We've all got these things. Every
30:36 one of us has these things. We've got
30:38 these things where we're like I know I'm
30:40 good at that. I [snorts] know I'm good
30:42 at that. I'm okay at that. These things
30:45 I can't do.
30:49 Like it's fact, right?
30:53 We now live in a world or very soon
30:58 [snorts] we'll live in a world
31:01 where that's no longer the case.
31:05 Which AI for medical advancements? It
31:07 It's too broad. Gravity jump. It's a
31:09 great question. It's too broad a
31:10 question.
31:12 Um, the the
31:16 Georgia high school team
31:19 that just came up with a novel uh
31:21 detector for Lyme disease that's that's
31:24 effective two days after you're bitten.
31:27 Um, that might also be the foundation
31:29 for a cure. They're using crisper. So,
31:33 crisper technology is DNA. It's a DNA
31:37 editing kit. It's a piece of software
31:41 where you can just go in and I don't
31:43 quite know how it works, but you can
31:45 isolate parts of a gene.
31:48 And so what these kids did is they
31:50 figured out that the
31:53 the lime spyroet
31:56 when it infects your blood it kicks off
31:58 a certain protein.
32:01 And so they figured out what that DNA
32:03 sequence was. And if they I don't know.
32:05 I don't know if I don't know. They
32:07 edited some sequence in some DNA related
32:10 to Lyme disease and then because of that
32:12 they turned it into like it's literally
32:15 like a COVID test, you know, where it's
32:17 like you put the the drop, I guess,
32:20 saliva. I don't know. You do the drop,
32:22 you put the drop on the thing and then
32:23 if you get a line it's positive. If you
32:25 don't get a line, it's not positive.
32:27 They made that. [snorts]
32:29 [clears throat]
32:30 But for detecting Lyme disease with this
32:32 DNA editor, um something that I would
32:35 pay very close attention to
32:39 on the medical front is um Alphafold
32:42 from DeepMind, Google DeepMind. So
32:45 Alphafold um has now not only predicted
32:50 all of the proteins of life and how they
32:52 fold, which is it's something like
32:55 400,000 proteins that they've predicted
32:57 how they fold. And to put that in
32:59 context,
33:02 in the olden timey days,
33:05 um, three years ago,
33:09 it would take one PhD researcher,
33:13 one year
33:15 to predict one protein, how it folded.
33:20 One PhD, one year, one protein.
33:24 they just predicted 400,000 of them with
33:27 like 95% accuracy, some crazy thing like
33:30 that. And then Alphafold two was even
33:33 better. And then Alpha Fold 3 that just
33:35 came out is like not only is it that the
33:37 proteins, it's like all of the molecules
33:40 of life and how they work and how they
33:42 interact.
33:45 It's it it is mind-bogglingly
33:48 complex what it what what they have
33:50 done.
33:52 Well,
33:54 all the scientists that would have spent
33:56 a year figuring out how a protein folds
33:59 can now just go into this this database
34:02 or this this model and say, "Oh, I want
34:05 to deal with this particular protein.
34:07 Show me how it folds. Now, let's design
34:09 some molecules that can dock with that
34:11 thing." So, I would pay attention to
34:13 those those big science projects um
34:17 because the research labs that are
34:19 adopting those are going to really start
34:21 accelerating.
34:23 [snorts] Um and and there are probably
34:25 there are probably specific AI tools
34:27 that I don't know enough about to to
34:29 even mention. So, like I don't I don't
34:32 know I don't know that world at all. Um
34:35 let me go back here and see if I'm
34:36 missing anything.
34:39 Um,
34:45 I'm just going to put on SC screen
34:47 really quickly here
34:49 the mastermind.
34:55 [clears throat]
34:58 There you go. Um,
35:00 bit.ly-salon-mastermind.
35:03 So, so we were talking about daily
35:05 practice before. Um,
35:09 go there. If you've not joined the AI
35:11 Salon mastermind, you should do it. Um,
35:13 the other thing that you should do, I
35:15 don't know if you have have Festivus up
35:17 and running, if if you've got a banner
35:18 there. Uh,
35:22 there you go. If you go to
35:23 community.thesalon.ai.
35:26 Um, or if you go to aifestivist.com.
35:30 Um, oh, my little vertical thing is I'm
35:33 now a little horizontal dude over there.
35:35 All right. Um,
35:38 AI festivist. And if if
35:42 I sound like I'm talking like I'm trying
35:44 to be quiet, I am because I'm in a New
35:46 York City apartment and I I [snorts]
35:48 keep hearing people nearby
35:51 and uh so I'm trying not to be too loud
35:54 uh because I am a I don't know if you
35:55 knew this about me. I'm a loud talker.
35:58 Um but anyway, AI Festivus December 26th
36:02 and December 27th. If you don't know
36:04 about AIFest, go to aifestivist.com.
36:09 Register right now. It is a free event.
36:12 Free f
36:15 free. Not three.
36:18 Free. It's a free event. Um it's 12
36:22 hours on Friday and 12 hours on Saturday
36:24 of free. Did I mention it was free? Um
36:29 AI education. So, we're basically
36:31 asking, you know, the smartest people we
36:35 know who are doing really cool things in
36:36 AI, would they be willing to come and
36:39 talk for an hour to our to our
36:40 community? So, we're putting this on
36:42 with um Ann Murphy. Um and we're putting
36:46 this on with uh the AI salon. So, Ann
36:49 Murphy and she leads AI in the AI salon
36:52 community.
36:53 And yes, Mr. IT, it is free.
36:57 So, so go sign up right now and do me a
37:00 favor. Share that with friends of yours.
37:03 Share that with friends of yours who are
37:05 like, "I don't like AI." I'll tell you
37:07 right now, I don't like it. It uses too
37:11 much water. It uses too much energy.
37:13 It's going to the robots are going to
37:14 kill us.
37:17 I don't like it one bit. It's the
37:19 world's greatest plagiarism machine. Um,
37:23 send it to them.
37:28 Because what they will discover when
37:30 they come to AI Fest, what we discovered
37:32 last year is that the people that are
37:35 doing really interesting stuff with AI
37:37 are not talking about AI.
37:40 They're not
37:42 they're talking about
37:45 what they care about in the world
37:48 that they happen to be using AI to help
37:51 them pull off in really remarkable ways.
37:56 You know, that was the comment that
37:57 started the the the live tonight. You
37:59 know, hey, thank you for teaching me to
38:01 use chat GPT with, you know, a handful
38:04 of prompts. We're saving 130 grand a
38:06 year in our business.
38:10 That that is tangentially related to AI.
38:13 What's more important there is someone
38:14 took the time to understand what it was,
38:17 understood what their business was, and
38:19 made a difference. Right?
38:22 I can't wait. last year was amazing. So
38:24 yeah, please go register for that.
38:28 Festivus is guaranteed to be a hundred
38:30 times more informative than the Tony
38:31 Robbins seminar. There was a part of me
38:34 that was like, I wish I would have
38:35 presented at that. There's a part of me
38:36 that's like I'm glad I didn't. Um the
38:39 other thing tomorrow we've also got AI
38:40 Salon presents. Um I'm going to be in a
38:43 different space than this one. Um we've
38:46 got Danny Newman from Denver. He's an
38:48 entrepreneur in Denver. He's a tech
38:50 startup founder. He's had multiple
38:53 exits. He's saved businesses in Denver
38:56 that were basically going out of
38:58 business. He rescued them. Um, and he's
39:01 got a new AI space in Denver called
39:03 ID345. And we're talking to him about uh
39:06 maybe doing something with AI salon. So,
39:08 that's really exciting. Um, so he's
39:10 going to be speaking tomorrow night. So,
39:12 tomorrow night at 700 p.m. East Coast
39:15 time, 5:00 p.m. Mountain
39:19 um is AI Salon Presents. Okay. So, if
39:22 you go to the salon.ai or go to
39:24 community.salon.ai,
39:27 um go to our events calendar and you can
39:30 uh RSVP for that as well. All right.
39:34 Beautiful. It's also really hot in here.
39:36 One of the things about New York City
39:38 apartments is
39:42 all of these buildings,
39:44 all the the they're called pre war
39:47 buildings, so preWorld War II, I
39:49 suppose, they all tap into a massive
39:55 underground steam network,
39:59 you know, like from the 1800s.
40:01 [laughter]
40:03 [clears throat]
40:04 And every apartment in New York City
40:06 that's got that taps into that that
40:09 steam infrastructure
40:12 has has radiators that are full of
40:15 steam, which is hotter than boiling
40:17 water cuz it's steam.
40:20 And so and there's no way to regulate
40:22 them. You can't really turn it off. It's
40:24 like either cold or like ripping hot. Um
40:27 so you have to open your windows. The
40:29 only way you can regulate temperature is
40:30 open your windows. So, so I thought I
40:34 had to balance about right. No, it's
40:35 getting really hot in here. So, that's
40:38 pretty funny. Um, AIDNA editing ask
40:41 about AlphaFold. There's our AI bot. Who
40:44 wrote the AI bot that comes here every
40:46 night? Who wrote it? Please tell me. I'd
40:49 like to thank you. It's pretty cool. The
40:52 furnaces. Yeah, exactly. Cam Captain,
40:55 where are those furnaces? Aren't they
40:57 down? They're downtown, right? Or I
40:59 guess maybe they're all over. I don't
41:00 know. They're probably part of Khed.
41:03 Anyway, it was cool just walking walking
41:06 the streets in New York tonight. Pretty
41:07 cool.
41:09 Um,
41:11 I was in the Bronx. I was in the Bronx
41:13 for three days. The Bronx. I was in the
41:16 Bronx. Went to Patricia's. Patricia's in
41:19 the Bronx. Had uh chicken parm.
41:23 Uh, rigetony bologine.
41:26 Bolognesei.
41:30 Um, it was good. It was good. And this
41:34 [laughter] guy, this guy, Patricia's,
41:36 this guy came in. What did he say?
41:39 He goes, "Kyle, I haven't heard of a
41:41 Kyle in the Bronx for [laughter]
41:44 30 years."
41:47 And he said there was some other
41:48 neighborhood I should have been in where
41:50 all the all the Irish were. [laughter]
41:54 I got called out for my for my uh
42:01 h for my name.
42:04 Yeah, he was
42:07 um go to Sylvia's in in Manhattan
42:10 tripast.
42:13 Did you go to the New York Botanical
42:15 Gardens? It's in the Bronx. So
42:17 beautiful. No, I didn't. I just I just
42:18 hung out. I hadn't seen it was it was my
42:20 wife's family and I hadn't seen her
42:22 family in like six years. Like four
42:26 human beings were created in the time
42:29 since I last saw them. [laughter]
42:35 So anyway, um who's got any questions?
42:37 Anybody have any questions?
42:41 My husband went to for him there. Oh,
42:43 cool. Nice.
42:45 Beautiful. Beautiful. Beautiful.
42:46 Beautiful. Beautiful. Beautiful.
42:52 >> [singing]
42:57 >> Peter Bernson. The Tony Robbins AI
42:59 Summit was so bad. It was so bad. Oh.
43:03 [laughter]
43:09 Oh man.
43:11 I credit you often in our AI council.
43:14 Oh, that's very sweet. I appreciate
43:15 that.
43:18 Irish, you can try Smith and Luisi.
43:23 Um, AlphaFold has open access for
43:25 non-commercial use. There you go. Yeah.
43:29 Okay, there you go. So,
43:32 do you know how to do protein stuff?
43:37 Neither do I. But there's this thing now
43:40 called Alphafold where we have chat GPT.
43:44 We now have Gem uh Claude Opus 4.5,
43:48 which of the three big big new ones,
43:50 you've got um Chat GPT 5.1, you've got
43:55 Gemini 3, and then you have Claude Opus
43:58 4.5. It appears that Opus 4.5 is the
44:02 winner of the of the big models that
44:04 were just released.
44:07 Um,
44:08 producer Brandon wanted to say to
44:10 everyone who bought his book and gave
44:12 reviews, thank you. Um, I got to tell
44:15 you, I'm very impressed with producer
44:17 Brandon's. So, producer Brandon,
44:20 like I haven't done with the last two
44:22 books I've written, what producer
44:24 Brandon did, this this is the equivalent
44:27 of reading the manual for me. So, I
44:28 understand why I didn't do it, but I
44:30 should probably do this for the next
44:31 one. Um [clears throat] he went and he
44:34 figured out using chat jeep
44:37 how to market a book and he's like
44:39 following the advice and he's doing
44:42 great. So he's getting his book out
44:44 there. It's called the 10 minute 10,000
44:46 minute
44:49 practice. No 10,000 minute mindset.
44:54 10,000 minute mindset. So go go to go to
44:57 Amazon. They can go to Amazon right now
44:58 and pre-order, right? Or can they buy
45:00 it?
45:03 buy it. It's live. Yeah, he he sold on
45:07 the on the 30th anniversary.
45:09 Um he kicked it off. So So yesterday and
45:14 it's live for 99 cents on Kindle and his
45:18 request is get it for 99 cents for
45:21 Kindle. Read it and give it a review
45:25 for him being swell.
45:27 Right. Ain't that cool? I think that's
45:30 really cool. really cool. And again,
45:32 this lives in that same
45:36 in that same neighborhood of
45:41 we're going to be living in a world we
45:43 if you're resourceful right now, we live
45:45 in the world right now. The AI tools are
45:48 going to get so good over the next three
45:50 years that three years from now,
45:54 we will literally live in a world where
45:56 anyone
45:58 can do anything.
46:02 Might be some accessibility questions,
46:05 right?
46:08 But for the most part, anyone can do
46:11 anything.
46:13 And then my question to you and your
46:16 question to you should be what do I want
46:19 to do? That's the harder question.
46:22 That's the hardest question
46:25 cuz we've always had excuses, right?
46:28 Well, you know, I would sure like to
46:30 find a cure for Lyme disease, but you
46:32 know, I'm not a scientist.
46:34 Neither were those high school kids that
46:37 just found a cure for Lyme disease.
46:42 That's chapter three of this book. There
46:44 you go.
46:47 There you go.
46:50 The stuff I'm talking about here is not
46:52 rocket science. This is the [ __ ] we
46:53 talked about in the early days of the
46:54 web.
46:56 The technology is ultimately not all
46:58 that interesting. What's more
46:59 interesting is what do you do with it?
47:01 And with AI, it is such a
47:03 revolutionarily powerful technology.
47:06 That question of what do you do with it
47:08 is can be really profound.
47:10 >> [snorts]
47:10 >> And so that's what I want you to start
47:12 preparing for, thinking about. Go to AI
47:14 festivist, join the AI salon, join the
47:17 mastermind. If you join the mastermind,
47:20 come to our Thursday mastermind practice
47:22 lab meetings
47:25 where you get to hang out with other
47:27 people who are designing their daily
47:28 practice.
47:33 Because what you're going to find is
47:35 what I'm finding with daily practice is
47:37 daily practice is hard.
47:41 And so, how do you make it not hard?
47:43 Well, maybe you don't. Maybe it's always
47:45 going to be hard for you. But, but you
47:47 can get into a habit and you can
47:49 understand that other people are dealing
47:52 with this, too. And here's how they've
47:54 figured out how to make it work for
47:56 them. And one of those conversations is
47:58 going to lead you to go, "Oh,
48:01 that's really cool."
48:05 Um,
48:09 yeah,
48:11 my [snorts] AI song on Apple Music.
48:13 Welcome,
48:15 welcome home. Please sample it. Gravity
48:18 jump. Do me a favor. Drop the link to
48:21 that in the AI salon in look what I made
48:23 or the community feed. That's great. I
48:28 have a theme day playbook for days.
48:31 Nice.
48:32 Love it.
48:36 [clears throat]
48:37 [singing]
48:46 Um,
48:51 I'm trying to think if I have anything
48:52 else I want to talk about.
48:56 There were a bunch of new video models
48:58 today. I think two or three video models
49:00 today came out. Um,
49:06 Google's VO
49:11 3.1
49:16 and Sora, is it Sora 4? Like, I don't
49:19 even remember the numbers anymore. It
49:20 doesn't matter. But the Sora model and
49:23 the VO model are
49:29 are really they were pretty
49:30 revolutionary and the and Nano Banana
49:32 Pro the new image gen models pretty
49:35 pretty remarkable. So the sense that I
49:38 get is the new models that came out
49:40 today. One came out from Runway Gen 4.5.
49:44 One came out from
49:48 another company, Clling
49:51 came out with another one and that's now
49:52 on a bunch of different platforms. Uh
49:55 that one was called XO or 101 01. It
50:00 doesn't [ __ ] matter. Doesn't it
50:02 literally doesn't matter.
50:05 Um,
50:09 I think they're all just incremental.
50:11 Um, so I'm I'm not really paying too
50:13 much attention to them. It is possible
50:15 I'm wrong. Deepseek just dropped a new
50:17 model, a video model, Danielle,
50:21 if DeepSync dropped a video model that
50:23 I'd be interested in.
50:29 What did they drop? Danielle, everybody
50:32 wants to know.
50:36 No, not a video model. I bought a $4 $49
50:41 smart
50:43 lamp
50:46 that was designed by the people who made
50:50 Pixar. Oh, I saw that thing. That was
50:53 pretty cool.
50:55 That was only 49 bucks. That was pretty
50:57 cool looking.
50:59 Yeah, the people, one of the designers
51:01 of the Pixar, you know, the lamp that's
51:04 in the title of the Pixar thing, they
51:06 made a uh an actual swing arm lamp that
51:10 like moves its head and looks at [ __ ]
51:11 for you. Sora and Vio are still the best
51:14 video models. Yeah, I agree with that. I
51:16 agree with that. Um but what's going to
51:19 happen is
51:22 the video models right now
51:25 um Midjourney Midjourney is a sneaky
51:28 company. Um MidJourney is also I feel
51:31 like MidJourney is slipping a bit. I
51:33 feel like Nano Banana
51:35 um Nano Banana's ability to do style
51:38 transfer is pretty close to mid Journeys
51:42 um without all the complexity.
51:45 Um, so I think MidJourney
51:49 runs the very real risk of being like
51:51 Napster where they came in, they did all
51:54 the [ __ ] wrong, but they they did all
51:57 the [ __ ] right, but they did all the
51:59 [ __ ] kind of unethically and illegally.
52:01 And they're going to take the heat for
52:02 that. They're going to take the hit for
52:03 that. And they're probably not going to
52:06 be resourced enough to keep up with all
52:08 the other models like that are that are
52:10 coming at them from all sides. Um, but
52:14 that said,
52:17 Midjourney's video model is not a video
52:20 model. It's a component of a 3D world
52:25 building model. So, where all of these
52:27 video models are headed is understanding
52:32 and replicating
52:33 simulating the world.
52:37 And we'll be able to do that in real
52:39 time in 3D
52:41 with dynamic code generation. So you can
52:46 enter worlds, interact with worlds,
52:48 generate new ones, interact with those.
52:50 That's what's coming.
52:52 So until I start to see signs of that,
52:55 like like at this point, the the video
52:57 models are great. All right. So the
53:00 wheels now look actually like they're
53:02 turning like a normal car, right?
53:06 We no longer have the weird hands. We
53:08 can do dancers now. We couldn't do
53:10 dancers for a while. Um, but I think
53:13 where this gets really interesting, and
53:14 I'm I'm pretty confident we see this in
53:16 2026, probably mid 2026, is text to
53:22 environment.
53:25 And it ain't just about movies. It ain't
53:29 just about movies. You're going to be
53:31 able to create a world and within that
53:33 you'll be able to create a movie or
53:36 you'll be able to create a game or
53:38 you'll be able to create some sort of
53:40 data visualization that brings a concept
53:43 to life that you've never been able to
53:44 do before. So, there's all sorts of
53:46 implications for it.
53:50 Google anti-gravity deleted someone's
53:52 entire drive
53:54 by accident. Wow.
53:57 Wow. Yeah. Be careful of these agentic
54:01 tools. They just might delete all of
54:03 your data. I would think that wouldn't
54:05 Google have backup of that somewhere.
54:14 It skipped.
54:17 Oh, it's skip the trash can and just
54:19 hard deleted.
54:21 Nice. Oh, their local drive.
54:26 That's bad.
54:29 They had it backed up. I go, "What could
54:33 possibly go wrong?
54:35 What's the worst one of these agents
54:36 could do? Erase your whole hard drive?"
54:38 Oh [ __ ] it just erased my whole hard
54:40 drive.
54:43 If that person had their hard drive
54:45 backed up, I have a feeling they were
54:46 doing sneaky nasty stuff that they were
54:49 trying to get it to break like that.
54:51 [snorts] Um, I grabbed a screenshot off
54:53 my phone onto my computer and one image
54:56 generator was able to read it. Oh, yeah.
54:59 The
55:01 it it's amazing what these models can
55:03 now see and understand.
55:06 No, it was a novice user vibe coding.
55:08 They admitted
55:11 they were clueless. They went
55:15 Oh. Oh, Google admitted they went went
55:17 wrong.
55:20 Oh, they had no idea what they were
55:22 doing.
55:24 Well, yeah, that's that's on Google,
55:27 quite frankly.
55:31 You know, if you make vibe coding tools
55:34 that have a lot of power in them and you
55:36 make them accessible to people that
55:37 don't know what the [ __ ] they're doing
55:39 and you don't have safeguards in there
55:41 for clueless people, then that's kind of
55:43 on Google.
55:46 And I know the engineers are going to be
55:47 like, "Well, you should read the
55:48 documentation. You You should understand
55:49 how coding works.
55:52 Yeah, you should. Who's got 10 years?
55:57 Who's got 10 years to get good at coding
55:59 and understand what coding means?
56:03 I don't.
56:06 I just want [ __ ] I just want [ __ ] to
56:08 work.
56:10 Yeah,
56:12 that's
56:14 we're probably the next three to five
56:16 years is going to be a lot of bad
56:20 growing pains with AI where AI uh is
56:25 promising on the surface but kind of
56:27 shitty underneath. I saw a really good
56:30 who is this from? It was from Ali K.
56:32 Miller I think. Yeah, I think it was Ali
56:34 K. Miller. She put out a tweet today
56:36 that said um
56:39 Claude Opus 4.5
56:44 point for her made a significant jump.
56:48 She said all of the models to this point
56:51 if she would be doing any sort of
56:52 creative writing they would get her to
56:54 like 70%.
56:56 And that's been about my experience. my
56:58 experience, I I often use the the 80%,
57:01 but if you really want to like write
57:03 something,
57:04 it's it's always so broken it repeats
57:07 stuff. It's like 70% is pretty good. If
57:09 you're using a good model, you can do
57:12 creative writing at at about 70% there,
57:16 right? And then it's up to you to
57:19 reprompt and edit and Frankenstein [ __ ]
57:22 together to get the other 30%. She said
57:25 claudopus 4.5 went in in the 85 to like
57:30 93%
57:31 range
57:33 um for her. So if it's a if it if you do
57:36 a jump from
57:39 70% good to 90% good that's really
57:43 significant because once you're at 90%
57:46 like this is my opinion. My opinion is
57:49 if you've got a writing tool that can
57:52 get you to 70%.
57:55 It's a coin toss whether it's faster to
57:58 just write it on your own
58:01 or write it with AI and then fix it,
58:04 right? It's a coin toss like like
58:08 writing is much slower than chat
58:10 gptting. But chat gpting is so rife with
58:15 problems that in order to fix it, you're
58:17 probably looking at somewhere in the
58:19 neighborhood, unless it's short stuff.
58:23 If you go from 70% to 90%, now you're
58:27 just an editor. Now you're going in and
58:29 cleaning and polishing rather than, you
58:31 know, structurally fixing [ __ ] [snorts]
58:35 Um, that's a that's a big big deal. So,
58:39 it looks like it looks like Claude Opus
58:41 4.5 is pretty good. Japan unveils a new
58:44 self-sizing sneaker pod. They claim will
58:47 change buying shoes forever. You know, I
58:49 saw the video of that, Brandon, and it
58:52 it's this weird thing where it looks
58:54 like it's automatically like weaving
58:56 threads around someone's foot, but then
58:58 it like seems like it fills with liquid
59:01 and then they pull their foot out and
59:02 there's no liquid on it. So, I assume
59:04 that that was an AI animation.
59:08 So maybe it's just a prototype or
59:10 something like that. If that was the
59:11 actual machine, it was really [ __ ]
59:12 cool. But I don't think that was a real
59:14 machine. Claude helped with film script
59:16 analysis regarding my plants.
59:20 I I don't know what Joy Joy Party is now
59:23 making films about plants and she's got
59:25 to do script analysis about the plants
59:27 in her films.
59:30 So Claude's helping her with that.
59:31 That's pretty cool.
59:33 Joy Perty, she's such a trip.
59:37 >> [clears throat]
59:38 >> used to drive me crazy when it went off
59:39 the rails at 70%. Seems so much better
59:42 now. Which Claude was it that he
59:44 mentioned? It was Ali K. Miller. She um
59:47 Claude Opus 4.5 is the one she mentioned
59:50 as being really good.
59:56 Oh, not green plants.
59:58 What kind of plants?
1:00:02 Like
1:00:03 manufacturing plants.
1:00:09 Oh, plants in the script for continuity.
1:00:12 Oh, yeah. Yeah. Oh, good. Yeah, those
1:00:14 are those are hard to track. That's
1:00:15 good. I like it. All right. Um, I'm
1:00:18 going to get out of here because I
1:00:20 probably have blasted out of my data
1:00:22 cap.
1:00:26 Tomorrow, we've got the AI salon and I'm
1:00:28 gonna It looks like uh Oh, what's going
1:00:32 on?
1:00:33 Your live will end. uh physical
1:00:36 dexterity test. Um
1:00:40 I'm going to do the live I'm going to do
1:00:42 the AI salon from Union Square. So 14th
1:00:47 Street. I'm on 71st Street. So after the
1:00:52 AI salon, so I've got an all day AI
1:00:54 salon strategy meeting tomorrow
1:00:57 and then in the evening I've got salon
1:01:00 presents and then I'm going to try to
1:01:02 get back to this lovely place. Um,
1:01:07 so I'm either going to be so wiped out I
1:01:09 can't go live or I'll go live for a
1:01:12 little bit, but it'll probably be later.
1:01:13 Probably be 10:30 or 11 cuz I got to get
1:01:16 up here.
1:01:18 And it's, you know, it's the big city,
1:01:20 you know, it's it's the city so nice
1:01:22 they named it twice. It's like it's the
1:01:24 city that never sleeps. I mean, if you
1:01:26 can make it here, you can make it
1:01:27 anywhere.
1:01:35 I love Union Square. When will you be
1:01:38 there? In Union Square. I'm I'm I'm
1:01:41 working down there tomorrow. So, Andy
1:01:45 Andy Scarantino and I are doing an all
1:01:47 day strategy session somewhere near
1:01:50 Union Square.
1:01:52 Um, nice to see you again. Thank you,
1:01:54 Silver Fox. Thank you, Source Camp. Um,
1:02:00 plants and payoffs. Sorry, I wasn't
1:02:02 clear. That's okay. That's okay. I
1:02:08 I like obscure references to creative
1:02:10 projects. You know what you meant? I
1:02:14 [clears throat] like trying to figure
1:02:14 that [ __ ] out. I thought it was like,
1:02:16 you know, your characters all had
1:02:19 different plants in their apartments and
1:02:21 some were green thumbs and some were
1:02:23 killing their plants and some were
1:02:25 succulents and others were perennials
1:02:28 and some were annuals. Like there's a
1:02:30 lot to manage when it comes to plants in
1:02:33 movies. So,
1:02:36 it seemed plausible to me. [laughter]
1:02:42 All right, we have a new AI salon
1:02:45 partner
1:02:47 leadpages.com. Cool.
1:02:50 30% off. Awesome.
1:02:53 Beautiful. All right. Details in AI
1:02:58 Salon.
1:03:00 Which which which uh space?
1:03:02 Partnerships. That's right. There's a
1:03:05 partnership page in the AI salon. So, if
1:03:06 you go in there, you can find out who
1:03:08 we've got partnerships with and we've
1:03:10 got deals. Okay. Robert Plant. I like
1:03:13 it. All right, I'm out of here. Peace
1:03:16 out. There. Community.thesalon.ai.
1:03:20 Here, do this. Go here.
1:03:26 All right. Good easy, everybody. Peace
1:03:29 out. Um,
1:03:32 what I've been watching I've been
1:03:34 watching Gary Vee do do lives every day.
1:03:38 That man's a [ __ ] machine. like he's
1:03:40 got because he's got a whole staff like
1:03:42 he knows he knows all the Tik Tok
1:03:44 tricks.
1:03:45 He's like go down to the righthand
1:03:47 corner, do this, do that, join the fan
1:03:49 club, go over here, do this, do that.
1:03:51 And I'm like, hey everyone,
1:03:54 this is cool.
1:03:58 [laughter]
1:03:59 Oh man. All right. Someday. Someday. All
1:04:03 right, everybody. Peace out.
1:04:06 [clears throat]
1:04:10 Beony, beauty. All right, I'll see y'all
1:04:14 later.