4/9/2026 - Testing the M5 Max MacBook Pro by Running Powerful Open Source AI Models Locally

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1:33 Happy Thursday, everybody.
3:28 >> In a westerly direction
3:33 This car is my strength,
3:35 is my train.
3:38 I've been driving, I've been wondering
3:43 what it is I'm running from again.
3:48 Feel like an 80-year-old man
3:52 holding to the 29.
3:56 And up ahead on that rise
4:01 is a California line.
4:11 Up ahead truck steering a wide load.
4:15 Prefab house cut in half.
4:19 Cute little daughter and two windows, my
4:21 lord.
4:23 Ain't sure that the driver should laugh.
4:29 Maybe he's already for the Are you ready
4:31 for the Perplexity Billion-Dollar
4:33 Challenge?
4:35 It's like a billion dollars. What? Am I
4:36 supposed to like
4:38 get through the weekend with that? Like
4:40 it's barely enough.
4:48 Every since I have created my Open Claw
4:50 Claw Bot named Adam, I have been an
4:53 independently wealthy
4:55 economy seven tril-
4:58 billionaire.
4:59 You
5:01 You can make money with Open Claw. Come
5:04 get now with the Mac Mini on your
5:09 just on the desktop.
5:16 Are you rich, too? You could just pay me
5:18 $149.99
5:20 in the
5:22 Click in the link.
5:25 With the
5:26 Claw Bot Bot Claw
5:28 Open Adam. I did Adam.
5:37 A la da da da da da da da.
5:45 Oh, Adam.
5:47 You perplex me so.
5:49 Oh, Adam.
5:53 Please don't go.
5:55 Please don't forget to like and
5:56 subscribe. Like Please Please like and
5:58 subscribe to the Adam clawbot bot mod
6:02 mod claw mod open open claw open the
6:06 open the clawbot. I
6:10 It's so easy even I could do it.
6:13 I made I made an
6:16 Adam open the clawbot.
6:19 He's making for me hundreds of dollars a
6:22 year.
6:24 And costing me thousands.
6:27 So, I'm making money.
7:00 She'll be here to sing.
7:04 Sitting in this lonely town.
7:08 Wondering if things are going to change.
7:14 Dream my life away.
7:17 Seems these dreams have turned
7:20 to bust dust clouds.
7:24 Getting my nerve up.
7:26 But my past is pulling me down.
7:34 Wondering how long
7:37 this black sheep
7:38 going to stick around.
7:45 So, told me once before I said you can
7:48 never go home again.
7:52 What is this? A live for guitar classes?
7:56 You You too can have an open clock club
7:59 club club at my club.
8:02 Op- open the clock up.
8:05 With Adam and guitar lessons.
8:09 I will teach you three chords and a
8:11 dream and and the three chords and a
8:15 and an idea.
8:16 Make country song hits like I do.
8:31 I think some night I should just do a
8:33 stupid character all night.
8:38 You could argue that I already do. If
8:40 any of you irregular say that, I will
8:42 come after you.
8:46 And producer Brandon, you're exempt from
8:48 the competition.
8:53 Oh, good lord.
9:26 Producer Brandon's like a a comedian.
9:28 He's like a a posted note comedian.
10:14 >> AI summary, a creator is showcasing Adam
10:17 Claw a money from
10:20 the Adam Claw bot for making money. Ask
10:23 him about the features.
10:25 Ask me. Ask me about the Adam Claw bot
10:28 features and I will tell you.
10:32 But you have to ask. You have to say
10:34 pretty please.
10:39 Thanks Tik Tok. Your AI is awesome.
10:44 Hey Tik Tok, you know what else would be
10:46 awesome? If you send some people this
10:48 way.
10:50 That'd be cool.
10:55 I've sent out trouble to many friends.
10:57 They are amazed. Such a wonderful song.
10:58 Oh, thank you very much Mary Mary.
11:00 That's very sweet.
11:03 Did you send out the latest one?
11:10 To many friends. That's pretty funny.
11:23 Where is that latest one? Let's play
11:24 that.
11:26 I like that song.
11:31 Um good news. Well, not really.
11:35 It's not really good news. It's
11:37 interesting news. I got my My MacBook
11:40 Pro came in
11:42 13 days early. So, that's cool.
12:42 Hang on. I made a I made a boo-boo. Shh.
12:45 Calm down, Producer Brandon. I'm a
12:47 professional.
12:53 Didn't seem like it by that tab
12:55 management.
13:20 I don't know. Familiar, but I'm not
13:22 quite sure.
13:23 Brandon.
13:36 >> All right, here we go.
14:08 Standing between
14:11 you and a hot place is insane.
14:17 Standing too near
14:20 you and a fire makes it clear.
14:26 You're trouble
14:28 to me.
14:32 Real trouble, can't you see?
14:38 Leaning in close.
14:41 SMELLING YOUR PERFUME scares me most.
14:47 Leaning away.
14:50 It feels stronger every day.
14:56 You're trouble
14:58 to me.
15:02 Real trouble, can't you see?
15:08 Sitting by you.
15:11 I feel the heat, can you feel it, too?
15:17 Sitting too far
15:19 makes me away from you are.
15:26 Oh, your trouble
15:28 to me.
15:32 Real trouble, can't you see?
15:55 It's time to go.
15:58 I got to leave now. Enjoy the show.
16:04 It's time for you
16:07 to say goodbye. I'll miss you, too.
16:14 Oh, your trouble
16:15 to me.
16:20 Real trouble, can't you see?
16:29 Now that you're gone,
16:31 all this supposed to be more fun.
16:38 Now that you've left, too,
16:40 all I feel is this gaping rail.
16:46 Oh, your trouble
16:48 to me.
16:53 Real trouble, can't you see?
16:58 OH, TROUBLE, DON'T YOU KNOW?
17:06 TROUBLE,
17:08 WHERE did you
17:10 go?
17:17 Oh.
17:30 >> Have I written it down musically? Well,
17:32 it's
17:34 Yeah, I mean I know the chords to it. I
17:36 I haven't done that arrangement
17:37 musically.
17:38 Um I haven't broken that out. No.
17:41 But it's in C sharp. So it's it's tuned
17:44 down a half step. My guitar was tuned
17:46 down a half step when I recorded that.
17:57 Standing between
18:00 you and a hotter place is insane.
18:06 Standing too near. Hey, yeah.
18:10 You and fire makes it clear.
18:14 Oh, no.
18:15 Why wouldn't someone buy this song from
18:17 you? Um because I've never asked them
18:20 to. Uh they probably might. I just it it
18:23 it's funny.
18:25 This audience has heard this song more
18:27 than anyone in my life. I wrote this in
18:28 a songwriting workshop in
18:31 I don't know. 20
18:34 [ __ ]
18:35 2011? 2010? Something like that?
18:45 20 [ __ ] is not a year.
19:34 >> It's funny, the reason I went back to
19:36 standard tuning is cuz when I was tuned
19:39 down down half a step
19:42 it didn't put enough tension on my
19:43 guitar. My guitar's all [ __ ] up, so so
19:46 the strings would buzz.
19:48 So I I moved it back to traditional
19:51 tuning
19:52 and it it bowed the neck back where it
19:54 needed to be.
19:56 Mind your tabs when you move on. Okay.
19:59 Um
20:01 I want to do anything in here.
20:05 I made it I made a uh
20:07 a a new Quantum Cipher song. I had So
20:10 Meta apparently came out with some new
20:12 model. Actually, let's go look at that
20:13 TikTok pin.
20:15 I've gotten so much wonderful feedback
20:17 from people I've shared it with. That's
20:18 amazing.
20:19 Um
20:21 I don't know. If anyone's got any ideas,
20:23 I think um Techie Becky, who was on
20:25 here, I think is an agent.
20:28 I think she's an agent in the music
20:29 business and she said something about
20:31 she thought this song could sell.
20:33 If anyone knows anyone and wants to make
20:35 an intro, I'm happy to talk to someone.
20:37 I just don't know anything about that
20:38 world.
20:39 I do not know anything about the world
20:42 of
20:44 selling songs.
20:46 I know it's brutal, but I mean, hey,
20:48 listen, we we now have technology where
20:50 you can take a a basic song and and
20:53 imagine it more fully.
20:55 If you only had an agent who could
20:57 research it. Oh, okay, that's just cold.
20:59 So that's Producer Brandon.
21:02 Producer Brandon going, "Oh, you got
21:03 your fancy new machine. Where's your
21:04 Where's it Why Why we have genius Adam?
21:11 I've had it for like 20 minutes.
21:13 No, it's like an hour. I've had it for
21:15 like an hour.
21:16 Genius Adam.
21:19 Genius is a stretch. Yeah, I listen, I
21:22 would be I would be content with
21:24 moderately intelligent kindergartner.
21:30 Not embarrassingly slow kindergartner.
21:34 That That would be I'd be happy with
21:35 that with Adam.
21:38 I don't like any of you. Why
21:41 is
21:44 Why is there an extra thing here? Hang
21:47 on a second.
21:50 What How do I get rid of this?
21:56 Sharing to this tab. I don't want to see
21:58 that bar.
22:02 It's screwing up the Tik Tok black box
22:04 thing.
22:14 Oh, that's better.
22:16 All right.
22:17 Source camp in the house, what's
22:18 happening?
22:24 Hello old irregulars.
22:26 Mr. IT in the house.
22:34 Uh let's go look Let's go look at some
22:36 news. There There's just too much going
22:37 on to to
22:39 to not look at the news.
22:56 Florida attorney general suing Open AI.
22:59 Nice.
23:01 There's Elon Musk has Kamala Harris, I
23:03 think. Swell.
23:05 People using AI for good.
23:07 Trillion-dollar data centers, and this
23:08 is what we're using it for.
23:21 Say something nice about Ohio.
23:25 Brendan, did you just did you did you
23:28 see my feed?
23:33 This is my moment.
23:37 You and Cam Catkin, say something nice.
23:42 That's hilarious.
23:44 Name a job AI can't replace.
23:47 The future is getting weird fast.
23:49 Ah!
23:50 AI is learning to think. Robots Robots
23:52 are learning to move. Biotech is pushing
23:54 back against aging. First time in
23:56 history, intelligence, labor, and
23:57 lifespan all are programmable.
24:00 All right.
24:02 None of this is news. None of this is
24:04 interesting. That's What's this?
24:06 Breaking. Nectome, the Portland, Oregon
24:09 tech company
24:10 Sam Altman is on the waitlist.
24:14 Oh, they're uploading brains to the
24:15 internet. Okay, whatever.
24:18 Check your DMs.
24:21 Oh, yeah. Okay.
24:23 You had some things in there. You did.
24:27 You did, as I recall.
24:34 Oh. AI is cracking the code on animal
24:37 communication.
24:40 Might be the most underrated
24:41 breakthrough in a generation. I called
24:43 this 2 years ago.
24:45 I told you we'd be talking to our dogs.
24:48 Not only will I be able to sing with
24:49 Champ, I'll be able to hear him say, "Uh
24:53 hey,
24:54 uh
24:55 can I get some cheese?
25:00 Uh hey Dad, uh
25:02 I like the smell of other dogs poo.
25:09 Brandon lives there. That's the nicest
25:10 thing. Oh, a silver fox. You're so
25:12 sweet. I'm thinking about visiting my
25:15 painting in New Orleans in May. That
25:18 wouldn't suck, would it? That wouldn't.
25:20 Beautiful. Love that.
25:27 You and Champ can have a podcast.
25:31 Hey, I'm Kyle Shannon. Uh I'm Champ.
25:36 I'm hungry.
25:38 You want some You want some burger? No,
25:40 you're not eating that. I don't want it
25:41 if you're not eating it.
25:43 Well, you you could just You like
25:45 burgers, right? Oh, yeah.
25:47 I I'm having chicken. I don't want
25:48 chicken.
25:50 But I'm I made you a burger. Yeah.
25:52 I I don't want that.
25:55 It's I I just
25:56 I don't need to have the conversations
25:58 with him.
25:59 I know what he's thinking.
26:01 I know what he's thinking. Uh
26:04 My eyes are itchy.
26:06 I think there's allergies and I'm whiny.
26:10 Uh
26:12 Okay.
26:14 So, that was that. Holy [ __ ]
26:16 Woo.
26:18 Good lord. I think I need a coffee. I'm
26:20 going to go get a coffee. Um Google
26:22 researchers just discovered that AI
26:24 models are developing multiple
26:25 personalities inside their own minds.
26:28 Being that they're trained on all of our
26:30 personalities doesn't surprise me.
26:32 And those personalities argue with each
26:34 other to solve problems. I actually
26:36 think that's kind of interesting. But
26:38 here's the point. No one programmed
26:39 this. It emerged on its own.
26:42 Wow. There you go.
26:48 That's crazy.
26:50 All right, what's this? Project Glass
26:52 Wing.
26:56 All right, that one we talked about
26:57 yesterday. YouTube comment future of
26:59 food.
27:04 I look like a crazy person at Walgreens
27:06 laughing so hard. Sorry about that.
27:11 What we laughing at? What was I saying?
27:13 Studying black garlic, lost track of
27:15 time.
27:19 You are the weirdest [ __ ] community.
27:21 Um by the way, you weirdos, all you are
27:23 regulars, check your regulars tomorrow.
27:26 We're going to do a special experiment
27:28 with ye old stream tomorrow night. It's
27:30 going to be fun.
27:31 So just keep paying attention to uh your
27:34 regulars. Brandon and I are going to
27:35 figure out what we're going to do.
27:36 Uh-oh, my messages failed to load. Hang
27:38 on a sec.
27:53 Zuckerberg described the described the
27:55 death of human connection on the
27:57 internet and no one flinched.
28:00 Whatever.
28:01 I just I don't Zuck always seems like
28:06 he's caught off guard that
28:08 he's got to answer questions. He's like,
28:17 Okay, cool. I'll check that out.
28:19 Um introducing new early preview of
28:21 agents.opencomputer.dev.
28:27 Don't know what that is.
28:55 >> My good buddy John Knack, um
28:59 he used to work for Photoshop, then he
29:01 worked for Google,
29:03 then he worked for
29:04 for Adobe.
29:06 Think it was still Photoshop.
29:09 Then he worked for Microsoft. Now he's
29:10 back at Google teaching Google how to
29:12 understand Photoshop.
29:14 So, I assume they're going to make
29:15 Gemini be able to use Photoshop. That's
29:18 pretty cool.
29:23 Is Zuckerberg even human?
29:26 Pitch Kitchen.
29:29 to join this. Yo, dude.
29:32 Hey, what's going on? What's happening,
29:33 man? Wait, I Alexa, stop.
29:37 I got It's just here I got to put I got
29:40 to put you somewhere else cuz I'm I'm
29:42 dual streaming on YouTube, so I've got
29:44 to Hang on.
29:45 I can do this. I can figure out the
29:47 technology here. I'm going to spin you
29:49 I'm going to spin you around.
29:51 All right. So, you can see me, they can
29:54 see you.
29:55 Uh-oh, except
29:56 Hang on.
29:59 Yo, dude. What's happening?
30:02 Nice and good to see you. Yeah, man.
30:04 What's going on?
30:06 All good things. All good things. Yeah?
30:10 I don't know where to start. You know, I
30:12 think the biggest unlock recently is
30:15 what I I learned from this idea of
30:19 uh
30:21 provide you know, we all provide value
30:23 in our jobs to people.
30:25 >> Mhm. And
30:27 if and we provide value in a certain
30:28 period of time.
30:30 And what I'm learning is I delivered a
30:32 proposal uh this morning that I spent 4
30:36 hours on. And normally a proposal would
30:38 be like a PDF doc.
30:39 >> Mhm.
30:40 But instead, I did such a deep dive with
30:42 Cloud Code. I built out like a nine-page
30:45 website and the tabs are parts of the
30:48 proposal that I walked the client
30:50 through. And today, they were so blown
30:52 away by the quality of the intelligence
30:54 and the deep research. And they're like,
30:56 "We need this like now and I don't care
30:59 how much it costs." Really?
31:00 >> And so, I guess what I'm saying is like
31:02 what I'm learning is the real unlock is
31:05 the value that we can deliver in the
31:07 shorter period of time is what's helping
31:11 us and helping our customers and helping
31:14 the world uh because it's applying more
31:16 intelligence instead of less. Yeah.
31:18 >> And that's just a huge unlock that I'm
31:20 I'm capturing now. That's really cool. I
31:22 mean, I would argue there that um
31:27 a big part of that also was you walking
31:30 them through what you had built, right?
31:32 Like part like if if you had just sent
31:34 it to them, it's just like another thing
31:36 to review, right? But like you going,
31:38 "Hey, I know I know what you asked for
31:41 was this and I did that, but because of
31:42 these tools I could do this and I
31:44 thought of you." And so, like what
31:45 you're communicating there is not just
31:47 that the tools can do that work, but
31:49 that you give a [ __ ] enough Yeah.
31:52 >> to to do that for them. You know what I
31:53 mean? It's like like like that's an
31:55 unexpected thing. Yeah, so that's Thank
31:58 you so much. Yeah.
31:59 >> Illuminating that because that's like
32:02 the the yin part of the yang that I
32:04 didn't even talk about. That's the whole
32:06 Yeah.
32:07 >> like trust and the emotional and
32:10 presence commitment to making something
32:13 real
32:13 >> Yep. and taking responsibility
32:16 for making that thing real, which is the
32:18 whole underbelly Yeah.
32:20 >> of the value. Yeah, cuz cuz what'll
32:22 happen at some point very shortly is the
32:25 novelty of you being able to work that
32:27 fast will go away. But what what they
32:29 won't forget is that you went above and
32:31 beyond when no one else was, right? Like
32:33 it's like it's like that's the thing
32:35 that'll stick because all of the all of
32:38 the outputs everyone's now going to be
32:40 able to do all the outputs. And so why
32:42 we're going to hire someone is oh, I
32:43 remember when remember when Greg did
32:45 that thing let's get him in here again.
32:47 I I that's where I think all of this is
32:48 going.
32:50 That's huge. That's huge dude. That's
32:51 really cool.
32:53 Yeah, so what about your side? Give me
32:54 sort of a recent aha, you know, oh my
32:56 gosh, holy mother of God moment.
32:59 Yeah. I mean I think on a on a daily,
33:02 right? They're they're crazy. I mean
33:05 I don't know. I had I had one today.
33:08 This is a good one. This is a good one.
33:10 I'll give you two.
33:11 Um so I had one today that that when I
33:13 first started going live on Tik Tok, I I
33:16 started the channel in in November of
33:18 22.
33:19 And I did my first live in April of 23.
33:22 And very shortly after I went live like
33:24 I've been
33:25 you know, I've been in this movie enough
33:27 times
33:28 that I knew that for the next 5 years no
33:30 one knows anything, right? So so I
33:32 declared very early on no one's an
33:34 expert. I'm not an expert. You're not an
33:36 expert. Anyone that tells you they're an
33:37 expert, they're full of [ __ ] right?
33:40 And then I would spend like an hour or
33:41 two before each show
33:43 sort of studying up on whatever the
33:45 latest tool was so I could be the
33:47 expert. So I was like declaring that
33:49 there are no experts, but I was acting
33:50 like one.
33:52 And then in the past year
33:55 like I really have not been the expert
33:57 because the tools have gotten so
33:59 sophisticated and the the sort of front
34:02 edge of this thing is so far out beyond
34:04 where where I spend any time. And then
34:07 and then even the tools themselves are
34:09 not just single tools anymore.
34:11 Everything has 28 features in it. So so
34:14 I truly feel like not an expert. And
34:16 what I've come to realize is I don't
34:19 like that feeling.
34:21 So and I think it's something we're
34:22 going to all have to confront that at
34:24 some point there's this
34:26 there's this level of our human
34:28 achievement that
34:30 we just have to accept that these
34:32 machines are somewhere beyond it.
34:35 And I so I don't know. So that was one
34:37 is just you know, I I know in my head
34:40 that no one's an expert, but I I'm not
34:42 that comfortable not being an expert.
34:45 So that's the first one.
34:50 And so what does that really mean? What
34:51 does that really come down to? Well, I
34:54 think it comes down to
34:56 um
34:58 just being willing to sit in the
35:02 in the discomfort of
35:05 we don't know what's next.
35:08 And and and what what it really does for
35:10 me Greg is it take it it go it goes back
35:12 to stuff that's very kind of existential
35:14 like
35:16 the the the most important thing is not
35:18 the tools, right? The most important
35:20 thing is me and who I am and what my
35:22 values are and how I want to be in the
35:24 world. Like how you were with that
35:25 client is way more important than how
35:28 you did it or even what you did.
35:30 And so for me that's the thing that
35:32 keeps keeps coming back to me.
35:36 Yeah.
35:39 Yeah, so
35:41 about the tools, you know, they're
35:43 they're great, but they're frustrating
35:44 as hell as you know. Like you and I both
35:47 sounds like we had a our open claw
35:49 experience and
35:52 Yeah. You know, and you know, I'm you
35:54 know, with Claude Claude code is is what
35:58 my go-to is at the moment,
36:01 but I know in a month or two it'll
36:03 change and I I kind of don't really
36:04 care. I'm kind of like I'm just all in
36:06 in the messy underbelly.
36:08 >> Yeah.
36:10 Yeah.
36:11 So But I I just think that continues the
36:13 the the ability to be um
36:18 to be whatever level level of comfort
36:21 you are on
36:23 just knowing that the thing you're
36:25 building right now is probably going to
36:26 be
36:27 useless in 3 months.
36:30 And that And that But But it doesn't
36:31 mean you shouldn't build it. Like I
36:32 think you should still And you should
36:34 still keep building, right? Because
36:36 Because there is stuff that you learn
36:38 along the way. It's just that how you do
36:40 it, what the mechanism is, what the tool
36:42 is, what the output is, all of that gets
36:45 irrelevant really, really quickly. Like
36:46 it Things Things we would build before,
36:49 the files we would make would last for
36:50 2, 3, 10 years. And now they're lasting
36:53 for 2, 3, 10 weeks, you know, before
36:56 before things move on.
36:58 Yeah. No, and yeah. So, Malto Mike he's
37:00 the same. He's on Gemini this month. So,
37:03 that's That's great.
37:04 >> That's cool.
37:05 There's so many
37:07 rabbit holes. Yeah. So, here's here's
37:10 Here's the other aha that I had. So,
37:12 this is This is You should dig this one.
37:15 The other aha that I had is
37:19 almost everyone that I know is hanging a
37:22 shingle as a consultant, or they're
37:24 putting together workshops, or they're
37:27 spinning up some vibe coding app, and
37:28 they're putting that in the world and
37:29 hoping to sell it.
37:31 And
37:33 most people are talking about the thing
37:36 that they built. Like as their core
37:37 marketing, what they're saying is,
37:39 "Here's the thing I built. The thing I
37:41 Or here's the workshop I'm giving. And
37:43 it's going to solve this problem for
37:44 you, and it's going to do it with these
37:46 following bullet points, and it's going
37:47 to take 3 days, and it's cost this much
37:49 money."
37:51 And very few people are getting any
37:53 results because no one's paying
37:55 attention. Because everyone, when they
37:57 used to be paying attention, that time
37:59 is now going to making their own [ __ ] to
38:01 go sell, right? So, there's there's
38:04 There's And I I think this has been
38:06 happening for a while, but but it's
38:08 gotten really acute in the past, I don't
38:10 know, 3 or 4 months.
38:12 And I think it's going to get worse and
38:13 worse and worse and worse. That talking
38:15 about the thing that you made
38:17 is
38:19 it it As As a way to lead the marketing
38:22 conversation is just not going to work.
38:24 That like that was the big epiphany.
38:26 And so if talking about the thing is not
38:29 going to work, what is going to work?
38:31 Leading a movement. Well, it it's in
38:33 that neighborhood. Like if if if I'm
38:36 going to be selling
38:38 um like the uh they just vibe coded this
38:41 thing for
38:42 um families to share their recipes on
38:45 it. Um Brandon vibe coded it with I
38:48 don't know a couple of people in here.
38:50 And
38:51 and um
38:54 if you hear Brandon talk about here's
38:56 this thing we made and here's what why
38:58 we made it and here's the idea and
39:00 there's this big bake sale coming up and
39:02 we're going to be talking about this
39:03 idea thing at the bake sale. All of a
39:05 sudden that thing that's just a recipe
39:08 database, right? In the end what they
39:09 built is a recipe database. It's got
39:11 some cool you can upload a video to it.
39:13 There's cool components to it, but in
39:15 the end it's a recipe database. So
39:16 there's going to be thousands of those.
39:18 But if you hear Brandon talk about it or
39:21 you know, who who who's the who's who
39:23 are the other people involved with it?
39:24 Gwen? Yeah, Gwen.
39:26 You know, if you hear Gwen talk about
39:27 it, it's it's her community that she's
39:29 going to be talking about this with.
39:31 All of a sudden, you're not sort of
39:33 signing up for this recipe thing, you're
39:35 signing up for that thing that Gwen made
39:37 that she's really passionate about and
39:39 Brandon did his thing. I think there's
39:40 something about who we are, why we made
39:43 something,
39:44 um the stories about the impact of it
39:48 that will rise above the noise because
39:50 that's the only thing that can't be
39:51 replicated. The marketing messages, the
39:54 tool itself, everything can be
39:55 replicated, but what can't is that
39:58 personal connection to story, to the to
40:00 the human beings behind it. And so I
40:02 think marketing and and people have
40:04 talked for a long time about personal
40:06 brand. This is kind of that, but not
40:08 really. It's not purely personal brand.
40:10 It's about saying, what's the emotional
40:12 hook
40:13 to whatever that thing is. Simon Sinek
40:16 talks about lead with why. it's kind of
40:18 that stuff. Feels like it's the only way
40:21 you're going to rise above the noise in
40:22 in a marketing environment. This that's
40:25 my that's
40:25 >> here.
40:26 Yeah, L'Engle says why, how, what, which
40:29 is the Simon Sinek piece and Yeah.
40:32 jobs vibes, like the storytellers are
40:34 going to rule the world.
40:35 >> Yeah, exactly, exactly. So I think I
40:37 think storytelling leads and if you're
40:39 not storytelling and but the thing is
40:42 we've got a habit for like decades of
40:44 not doing that. Even though these guys
40:46 have been saying that, I think we're now
40:47 in a world where that becomes a
40:49 requirement because none of the other
40:51 stuff's going to matter.
40:54 Yeah.
40:56 Wow. Yeah.
40:59 So that's it. Well, thanks for popping
41:00 up here. This is kind of cool.
41:02 Yeah.
41:04 Great seeing you.
41:05 >> my
41:06 wife is out having girls night out on
41:07 this Thursday and I put the kids to
41:10 sleep and Figured you'd hang out on the
41:11 Tik Tok.
41:13 I kind of hang out on the Tik Tok and
41:14 and I you know I like to do these
41:16 conversations talking about like I have
41:19 seen the future ask me anything. Yeah.
41:22 I'm I'm like deep dive with Ray Kurzweil
41:25 and Peter Diamandis and Mhm. I'm I'm I'm
41:28 trying to and and Kevin Kelly is also a
41:31 friend of mine. I'd like to say is a
41:33 friend. I think
41:35 he knows me as well and he has taught me
41:37 a lot about how to predict the future by
41:41 looking at how the past Mhm. has has
41:44 taken shape and how the present is
41:46 taking shape.
41:47 >> Yeah.
41:48 Uh so I feel like
41:50 uh I have a a good bead on how things
41:54 are going to shake out and I like to
41:55 talk about it with people. Like I know
41:57 that the job apocalypse is is is
42:00 happening but it's more of like the task
42:02 apocalypse. Mhm. And I think it's uh
42:05 people businesses want people to take
42:08 responsibility and AI is not taking
42:10 responsibility. Not AI is not writing
42:12 checks. Yeah. And it's not it's not
42:14 coming up with the story. Yeah.
42:17 So, the people that are doing that, that
42:19 are taking responsibility, are going to
42:22 do very well. And but the people who are
42:24 just I say uh
42:27 getting the TPS reports done,
42:29 uh you know, the from the Office Space
42:31 movie, the TPS report. Yeah.
42:34 Those those soul-sucking jobs are are
42:36 going. Yeah, that stuff's going. Yeah,
42:38 that's I don't know if you've seen Did
42:39 you see the the great repurpose that I
42:41 put out? Yeah, also, you know, I love
42:43 what you just said about the economies.
42:44 And let me just say one quick piece
42:46 about that. Yeah.
42:48 Like, dude, I'm I'm rebuilding the deck
42:50 in front of my house. Not me, but I'm
42:52 hiring a guy to do it. And and by the
42:55 way, like, the guy that's doing it
42:58 doesn't have any AI skills or whatever.
43:01 Doesn't need to. He builds beautiful
43:02 decks and construction. He's in a
43:05 economy lane that is very well
43:07 represented in your chart.
43:09 >> Economy one, yep.
43:11 Economy one that we all want we all want
43:14 to you know, have in our lives. Right.
43:16 And I'm very grateful for and should be
43:18 paid handsomely for that economy. Yeah.
43:21 The other guy that delivered the gravel
43:23 for my deck, he came with his truck and
43:26 he backed up his truck and he emptied
43:27 all the gravel in my driveway and I went
43:30 out and I shook his hand. I said, "Thank
43:32 you so much." Um
43:33 and he said to me, "Yeah, I own the
43:35 business." he said. And he said, "How
43:37 did you hear about the business? How did
43:39 you hear about it?" And I said,
43:40 "ChatGPT." And he said,
43:42 "What?"
43:43 And I said, "Yeah, ChatGPT." He said, "I
43:45 never heard of it." This guy runs a
43:47 business in my town in New York. So,
43:50 like, there's another example of the
43:51 economy that's completely different.
43:54 Completely. Yeah, exactly. And you know,
43:56 and I think that that's going to go for
43:58 a while.
44:00 And as these tools get more and more
44:01 powerful, it's just going to get weirder
44:03 and weirder and weirder and so.
44:05 >> Weirder and weirder. Yep, exactly.
44:09 How's your your play your Broadway play
44:11 that AI love story?
44:12 >> Yeah, um Sydney.
44:14 Um right now it's being pitched to a
44:17 European theme park actually. So
44:21 So that's pretty cool. So if and if and
44:23 if it's If it ends up there, it'll be
44:25 it'll become a much more interactive
44:26 thing and it'll probably exist in, you
44:28 know, multiple venues around the park
44:30 and things like that. We're talking
44:31 about doing it like that.
44:33 I love the idea. I was talking to Grock
44:34 about it. And Grock knew everything
44:36 about Sydney. And Grock was saying that
44:39 that it it would it's a collaboration, a
44:41 co-intelligent performance with live
44:44 performance that creates something new
44:46 each time based on audience input and
44:50 artificial intelligence collaboration.
44:51 It just sounds like, "Wow, I'd love to
44:53 see this." Like I want to I want to
44:55 witness this experience. So That's cool.
44:58 I love that. Thank you. Yeah, Sydney an
45:00 artificial love story coming to a
45:02 theater near you. I hope.
45:05 Yeah. Yeah, cool.
45:08 All right, man. Groovy. Great seeing
45:10 you.
45:11 Great seeing you, too. Okay, cool. We'll
45:13 talk later.
45:14 Bye.
45:14 >> Talk later.
45:18 Yeah, so
45:20 I don't know how to say goodbye to you.
45:22 Are you going to sign out or I don't
45:24 know.
45:26 You don't know either? No, I'll figure
45:28 it out.
45:29 Let's
45:31 >> I don't know maybe you've done this
45:32 before. Multiguest. Here.
45:35 Uh
45:36 no, you're not there.
45:38 Let's see.
45:38 >> Let's see. It's like old guys old guys
45:41 trying trying to Hey, boomer. Hey, boom.
45:44 Hey. You know how to drop the line?
45:47 Let's see.
45:47 >> Multiguest. If I touch that
45:49 Let's see. Switch kitchen.
45:53 Huh.
45:55 I could unfollow you.
46:00 So what if you just like close the app?
46:02 Uh probably.
46:05 But you're Are you streaming to other
46:08 Yeah, but I'm I'm on I'm on YouTube.
46:11 Hang on. I'm streaming YouTube now.
46:12 Okay.
46:14 There's a way There's a way to do this.
46:17 Hang on.
46:20 Da da da.
46:23 Remove background noise.
46:28 [ __ ] camera super fan.
46:31 So when you press on
46:34 Yeah, multi-guest, do you see yourself
46:36 there? It says zero guests.
46:39 Yeah, it says zero guests for me, too.
46:43 So strange.
46:44 >> quit you.
46:50 Okay, I'll just
46:52 I'll just
46:54 I'll close the stream and relaunch it.
46:55 So So everyone that's here, if you want
46:57 to come back, come back. But Greg, good
46:59 to see you, man.
47:00 Good to see you, dude. All right, later.
47:04 That's really funny.
47:05 All right.
47:07 When in doubt, just bail.
47:17 Da da da da da da da da da da da da da
47:18 da da da da da da da da da da da da da
47:18 da da da da da da da da da da da da da
47:19 da da da da da da da da da da da da da
47:19 da da da da da da da da da da da da da
47:20 da da da da da da da da da da da da da
47:20 da da da da da da da da da da da da da
47:21 da da da da da.
47:24 Shouldn't have a day
47:26 da da da da da da da da da da da da da
47:26 da da da da da da da da da da da da da
47:27 da da da da da da da da da da da da da
47:27 da da da da da da da da da da da da da
47:28 da da da da da da da da da da da da da
47:29 da da da da.
47:30 Da da da da da da da da da da da da da
47:31 da da da da da da da da da da da da da
47:32 da da da da
47:33 Da da da da da da.
47:36 I don't have dual cameras. Where are my
47:37 dual cameras?
47:39 Oh, there we go.
47:43 Mm mm mm.
47:45 Not that I need them.
47:47 I got schmutz on the lens.
47:50 All right, that was cool. Beautiful.
47:54 Greg Rosna, Pitch Kitchen is his TikTok
47:57 channel. Yeah, he's been going live a
47:58 lot. He's been putting out a [ __ ] ton of
47:59 content. Probably someone worth
48:01 following.
48:02 Thinking critically about this. Greg was
48:05 a guy that
48:07 um
48:08 ages ago
48:10 I told this story on here.
48:14 He and I were talking and he was like,
48:15 "Yeah, what are you doing with all this
48:16 AI stuff?" And
48:18 and he said um
48:21 he said, "Oh, you know, I'm doing I'm
48:23 doing AI stuff. I'm using ChatGPT
48:25 whatever." And then
48:27 I got on a call with him.
48:30 And I forget what I showed him. I think
48:31 I showed him like Code Interpreter where
48:33 it could it could do spreadsheets or I
48:35 showed him it doing programming or
48:37 something like that.
48:39 And I think he had only used ChatGPT for
48:42 like, you know, more like a Google kind
48:45 of thing.
48:46 And and whatever I showed him, whatever
48:47 I demoed to him, when I came back after
48:49 demoing it, he was he was like,
48:52 "I had no idea." He goes, "I need to
48:55 go."
48:57 It totally freaked him out. Um but but
49:00 he's since like really like like
49:02 gone deep on this stuff. And he's he's
49:05 really knowledgeable about it now. It's
49:06 super cool. Um
49:08 but yeah, I got to witness, you know,
49:10 Greg was one of the guys where I got to
49:12 witness a true Kevin McCallister moment
49:14 where his jaw was literally
49:17 hung open and he's like, "I had no
49:18 idea."
49:19 That was a cool moment.
49:21 So, anyway.
49:23 Um
49:24 Greasy. So, yeah, you should go follow
49:27 follow the Pitch Kitchen.
49:30 Um Greg Rosner. Rosner is his last name.
49:34 But but his TikTok channel is Pitch
49:36 Kitchen.
49:38 I think this was a loyalty test.
49:40 This is Hey, we're back to 16. We we
49:43 were at 18 and I went away and came back
49:46 and so now we're now we're good.
49:49 Now we're good.
49:52 Da da da da da da
49:53 dee, deedly dee, deedly dee, deedly dee,
49:55 deedly dee, deedly dee,
49:58 deedly dee, deedly dee, deedly dee,
50:01 deedly dee, deedly dee, deedly dee,
50:04 deedly
50:05 deedly dee, deedly dee, deedly dee,
50:10 I lost Kyle and ended up on Greg's
50:12 channel.
50:14 That was just It was just a ploy for him
50:16 to get more followers.
50:19 That's hilarious. That's great.
50:22 Uh I've been hearing it in my head all
50:23 day. I know it
50:25 Trouble is a song that does get stuck in
50:27 your head.
50:29 Um what else got stuck in my head? Um
50:31 the the uh
50:34 the great repurpose song gets stuck in
50:37 my head once a month or so for a couple
50:39 of weeks.
50:41 Um and then I'm doing my uh my my
50:44 morning
50:45 singing about who I am, that song about
50:48 who I am.
50:49 I get lost in that one, too.
50:52 And then there's the Olympics. I don't
50:54 get the joke. I forgot what I was
50:56 talking about.
50:58 Sell it, Kyle. What am I selling? Okay.
51:01 Oh, you know what? [ __ ] this. Okay,
51:04 here's what we're going to do.
51:06 Watch.
51:08 We'll do this right now.
51:14 Where are we going to go? I'm going to
51:15 do this. I'm going to go
51:23 screen share
51:26 entire screen.
51:32 I'm going to go to
51:36 Claude.
51:38 No, I'm going to go to Perplexity.
51:43 plexity.ai
51:46 You should go to irregulars. Oh, boy.
51:52 Go to irregular. Hey, did you see my new
51:54 state five stages of AI adoption
51:55 graphic?
51:57 I thought that was pretty cool.
51:58 I'm I'm 4.532.
52:01 That's hilarious.
52:02 I've weathered the storm and enjoyed the
52:04 ride. I'm back hanging out with Toto
52:05 right now.
52:07 That's good. Uh AI Learning Lab
52:09 irregulars.
52:19 What it's like to watch Kyle talk to
52:21 Pitch Kitchen on YouTube tonight. That's
52:23 hilarious.
52:31 That's pretty good.
52:33 Oh, my god. Tina, you fat chap chap
52:36 butt.
52:38 Come get some compute.
52:40 Oh, my god. Live meltdown. This is why
52:43 we test.
52:49 Amazing.
52:52 Lord Digital God's coming in hot with
52:53 the uh with the YouTube
52:56 thumbnails. As always, beautiful. Okay,
52:58 here's what we're going to do. We're
52:59 going to go to Perplexity.
53:03 Oh, I've got computer. Do I
53:05 When Why would Let's see.
53:08 Let's talk to computer. Why not?
53:11 GPT-5.4, let's go with Opus 4.6.
53:15 Powerful model for complex tasks. Okay,
53:18 so we're in Perplexity computer. And if
53:21 you don't know what perplex Perplexity
53:22 computer is, that's because they don't
53:24 have good marketing.
53:26 But Perplexity computer is like Claude
53:28 bot, open claw.
53:32 The live is restricted for some
53:33 audiences. Violation.
53:36 Harassment and bullying. What did I say?
53:40 There's It's to be a Gen X exception.
53:46 It was probably you.
53:50 It was probably my head.
53:52 What?
53:56 Oh, then just because it just saw my
53:58 head it thought it was a butt or
53:59 something like that.
54:02 Whatever.
54:04 Oh my god, Tik Tok.
54:10 Okay, we're going to try to sell this
54:11 song trouble.
54:13 Okay.
54:16 Okay.
54:21 I probably need to like register it with
54:23 the copyright office.
54:26 Who [ __ ] knows? Okay.
54:28 Um
54:30 I have a song
54:32 I wrote
54:34 years ago
54:37 and
54:39 have been singing it on my
54:45 AI Learning Lab live shows
54:49 and also using Suno to make
54:55 more highly produced versions
55:00 of it.
55:01 Um people are saying many people are
55:04 saying
55:06 many people
55:09 I have at least four
55:11 are saying
55:14 that it is good and
55:19 should be bought by someone.
55:23 It is
55:26 Americana
55:27 like Americana
55:31 /country
55:35 ballad and or rock.
55:40 I want your help
55:44 researching
55:47 um
55:48 who to pitch it to,
55:53 how to break through the noise,
55:59 and
56:02 how to not look like a rank amateur
56:07 even though I am.
56:14 I'd love to help you navigate the music
56:16 industry and put together a real
56:17 strategy. First, let me check if there's
56:19 any relevant context from our past
56:21 conversations.
56:24 And then dive into the research,
56:26 remembering that the user wrote a song
56:28 performing it on AI Learning Lab Live.
56:33 Type to me like I'm a fifth grader.
56:37 Go all Prince on it. Keep your rights,
56:38 baby. Right, I'm the artist 4 million
56:41 honest as AI Learning Lab.
56:45 Who should an Oh, this is cool. It's
56:47 writing a prompt for itself. Warming up.
56:49 Who should an unknown songwriter pitch
56:51 an Americana country ballad rock song
56:54 to in 2026? Cover these categories with
56:56 specific names and contact methods.
56:58 Music publishers in Nashville and
57:00 Americana, which publishing companies?
57:02 This cool.
57:04 Breaking through as an unknown
57:06 songwriter.
57:08 Research comprehensively. How does an
57:09 unknown songwriter break through the
57:11 noise?
57:12 Research comprehensively. How does an
57:14 amateur songwriter present themselves
57:16 professionally when pitching songs in
57:18 2026? The user is tech-savvy content
57:21 creator with a YouTube channel, AI
57:23 Learning Lab, who wrote an Americana
57:25 song song registration essentials.
57:28 Step-by-step copyright registration with
57:30 US copyright.
57:32 Registering with a PRO, ASCAP, BMI,
57:34 SESAC.
57:37 I think SESAC and ASCAP allow
57:40 Suno-generated songs now.
57:44 Uh uh uh
57:45 What a world we live in right now. Isn't
57:48 it crazy?
57:51 I got four research tracks running in
57:53 parallel right now. Oh, that's what what
57:54 these are. This is cool. Who
57:56 specifically to pitch it to, how to
57:58 break through, how to look professional,
57:59 the AI angle. Suno copyright issues,
58:02 industry perception, legal landscape.
58:04 I'll compile everything into a
58:05 comprehensive strategy doc
58:07 once the research comes back.
58:11 I don't just want a strategy doc. You're
58:13 You're
58:14 Perplexity computer. I want you to be my
58:16 [ __ ] agent.
58:18 My manager. Go out and do the [ __ ]
58:25 Uh uh uh
58:27 Yeah. Yeah, see? Yeah, yeah.
58:30 See? Yeah, you have a palooka.
58:34 Uh uh
58:34 uh uh uh
58:50 Oh, you know what we can do?
58:52 While that's working.
59:07 Mary Mary, sorry to harp, I just think
59:08 it's important. You think what's harp
59:10 important?
59:12 Getting the song out there?
59:14 Read an article on how to break through,
59:15 bots that trick the algorithms.
59:21 Oh, that's pretty cool.
59:29 Keep your rights, baby.
59:34 Well, I guess the trick is how do you
59:36 get to here's my new machine. Look, I
59:38 got it in Darth Vader black.
59:41 Isn't that cool?
59:42 This thing's a [ __ ] beast and it's
59:43 not that big. It's a little 14-in Mac
59:46 MacBook Pro
59:47 M5 Max 64 gigs.
59:52 It's amazing how small it is.
59:55 I love that color. Isn't it Isn't it
59:56 cool?
59:57 All right, I should have
1:00:04 um
1:00:07 Llama should be done now or let's see
1:00:09 use the new chat.
1:00:13 Okay, so this is the Gemma
1:00:16 Gemma 4 26 billion parameter model
1:00:19 that's loading. Let's we'll see how fast
1:00:21 it is.
1:00:23 And then I'm also I'm also downloading
1:00:27 um the LTX thing.
1:00:33 Did it work? Generate background music.
1:00:35 No pending generations.
1:00:39 Generate.
1:00:46 Model cached.
1:00:59 All right, I have the the new LTX video
1:01:02 generator I downloaded. But anyway,
1:01:04 let's see.
1:01:07 You can't You can't really see anything.
1:01:09 I'm I'm just going to see
1:01:10 Are you downloading Llama?
1:01:13 I downloaded LM Studio and I downloaded
1:01:18 um Gemma
1:01:20 the Gemma
1:01:22 let's see.
1:01:23 Um
1:01:25 Okay, hang on a sec.
1:01:27 Write me
1:01:29 an M&M
1:01:32 M and M
1:01:35 style rap about
1:01:39 quantum
1:01:40 mechanics
1:01:43 and make sure to match
1:01:47 his sophisticated
1:01:52 internal
1:01:53 rhyme schemes
1:01:57 and
1:01:59 double
1:02:01 entendre's
1:02:05 and word play.
1:02:07 Okay, so you and I were were looking at
1:02:10 this for the first time together.
1:02:14 My new toy.
1:02:16 Um
1:02:18 This better be more than a [ __ ] toy,
1:02:19 by the way.
1:02:21 Um All right, let's see how fast this
1:02:23 is. This is a
1:02:25 20-something billion parameter model.
1:02:28 I'm using LM Studio and Cwen right now.
1:02:31 But I'm going to move to Llama next,
1:02:32 okay.
1:02:33 Here's Gemma.
1:02:38 It's thinking.
1:02:42 Looks like it's pretty fast, actually.
1:02:49 Yo, look. I'm microscopic chronic and
1:02:52 ironic symbolic topic dropping logic in
1:02:54 the pocket of quantum mechanic profit.
1:02:57 That's pretty good.
1:02:59 This is running locally on this little
1:03:01 machine.
1:03:03 Look, it did a whole [ __ ] thing and
1:03:05 it doesn't suck.
1:03:07 See, I'm breaking through the barrier
1:03:08 tunneling through matter like particle
1:03:11 through a potential well. Watch the
1:03:12 physics shatter. I'm Heisenberg with
1:03:14 heat. Yeah, the principle is gritty. You
1:03:17 can track my position, but you'll never
1:03:20 catch the velocity, see?
1:03:23 It's uncertain. The momentum is a
1:03:25 phantom, a manic, volcanic, organic,
1:03:28 titanic tantrum. I'm dodging the
1:03:31 measurement. I refuse to be defined in a
1:03:33 state of flux. Okay, so here's what
1:03:35 we're going to do.
1:03:38 Oh, intro. Heavy distorted bass kicks
1:03:40 in. Sound of clocks ticking. Oh, this is
1:03:41 really good. Okay. Hang on.
1:03:44 Everybody calm down.
1:03:47 Just calm down.
1:03:49 All right?
1:03:53 I'm excited, too. Just calm down.
1:03:57 Have a cookie.
1:03:59 All right.
1:04:02 I'm pretty sure he's the one that's
1:04:04 excited. Shut up.
1:04:07 Okay, I'm going to go over here.
1:04:10 I'm going to go to Suno. Suno.
1:04:14 I got to tell you, one of the nice
1:04:16 things about um
1:04:20 the Mac operating system
1:04:22 is that because everything's stored and
1:04:24 cached in iCloud, um I basically just
1:04:28 started up the machine. I said, "I want
1:04:29 to set this up as a new machine." I
1:04:31 logged into my account, downloaded
1:04:33 Chrome. It said, "Do you want to log
1:04:35 into Chrome and pull all your [ __ ] out
1:04:37 of the cloud?" And I did, and
1:04:39 like everything's set up. This already
1:04:40 acts like a machine that's been set up
1:04:42 for years.
1:04:44 [ __ ] amazing.
1:04:45 Okay, um sign in to Suno.
1:04:58 Something
1:05:01 went wrong. What?
1:05:03 No.
1:05:05 There we go. Okay.
1:05:07 Advanced. Lyrics pop right in there.
1:05:11 Or not.
1:05:15 Copy.
1:05:18 Paste. Why are they not pasting?
1:05:21 Except all cookies? Is it because of
1:05:22 that?
1:05:28 Edit.
1:05:30 Copy.
1:05:32 Paste.
1:05:34 They're not pasting. What the [ __ ] is
1:05:35 going on? Notes.
1:05:55 All right, that's weird.
1:05:57 Okay, paste.
1:06:02 Okay, Suno is weird.
1:06:05 Help, please.
1:06:08 Okay, now we're good.
1:06:15 Styles.
1:06:17 Heavy distorted bass kicks in, the sound
1:06:19 of clocks ticking,
1:06:21 then suddenly speeding up and warping, a
1:06:22 low menacing whi- whisper.
1:06:27 Hip hop wrapped chopped vocals.
1:06:33 Chill pop deep flow.
1:06:38 J-rap. I assume that's Japanese rap. I
1:06:41 don't know what that is.
1:06:43 Prog alternative rock.
1:06:45 I know, you're not looking at me. I'm
1:06:47 just doing it down here. I'm going to
1:06:48 turn this into
1:06:53 a rap song. Let's see.
1:06:56 Deep flow Detroit.
1:07:03 Fast.
1:07:06 Double time.
1:07:09 Okay.
1:07:11 Here we go. Bang.
1:07:13 So, we're going to take
1:07:15 my first
1:07:18 Oh, you know what's amazing? The The
1:07:20 processor must be right here. It's very
1:07:22 warm right here.
1:07:26 It's It's very toasty.
1:07:29 I got I remember Oh, I've got a
1:07:31 hilarious story. This is This is amazing
1:07:33 tech support story.
1:07:35 Um
1:07:37 Um
1:07:39 There was There was a There was a model
1:07:41 of MacBook Pros.
1:07:44 No, it was It was It was before MacBook.
1:07:46 It was called PowerBook.
1:07:50 And And it was famous for overheating.
1:07:52 And it got so hot that you couldn't put
1:07:54 it on your lap. It would burn you. It
1:07:55 would let It would literally burn you.
1:07:58 Um And so, mine had gotten to the point
1:08:00 that I just couldn't use it. So, I
1:08:02 called up Apple tech support.
1:08:05 And I said, "Hey, uh
1:08:08 you know, I got this computer here and
1:08:10 it's it's super hot
1:08:12 and I and I can't put it on my lap." And
1:08:14 she goes
1:08:16 She goes
1:08:18 She goes, "Yeah, I'm sorry about that."
1:08:20 I said,
1:08:22 "But it's a laptop."
1:08:25 Without missing a beat. She didn't miss
1:08:26 a beat. Her response was, "No, it's a
1:08:30 PowerBook."
1:08:34 And I was I was so [ __ ] pissed off,
1:08:36 but I was so impressed
1:08:40 that she pivoted and made me the
1:08:42 [ __ ]
1:08:47 Oh my god.
1:08:50 Oh, this is the This is the machine you
1:08:52 got, Side Hustle?
1:08:54 I'm amazed by it every day. That's so
1:08:55 cool. All right, listen. Here's
1:08:57 Heisenberg tick tick warp.
1:09:02 Yo, look look
1:09:10 Yeah, look,
1:09:11 look,
1:09:12 yeah, look. I'm I'm microscopic chronic
1:09:14 in ironic symbolic topic dropping logic
1:09:17 in the pocket of a quantum mechanic
1:09:18 prophecy. I'm breaking through the
1:09:20 barrier tunneling through the matter
1:09:21 like the particle through a potential
1:09:23 well. Watch the physics shatter. I'm
1:09:25 Heisenberg with the heat. Yeah, the
1:09:26 principle is pretty. You could track my
1:09:28 position but you'll never catch the
1:09:29 velocity. See, it's uncertain. The
1:09:32 momentum is a phantom of a manic
1:09:34 volcanic organic titanic tantrum. I
1:09:36 dodge the measurement. I refuse to be
1:09:38 defined. They say that [ __ ] weaving that
1:09:39 we fixed variable behind. You try to pin
1:09:42 me down. Try to make out my trajectory
1:09:44 but my path is probabilistic. Surely a
1:09:46 conjecture, see? I'm blurring the dark
1:09:48 in unpredictable fog leaving marks on
1:09:50 the charts like a neutron in the park.
1:09:52 It's the wave particle duality. Reality
1:09:54 is casualty. The instability of my
1:09:56 mentality is a gravity defying reality.
1:09:59 Is it a solid space? Over wave is sound
1:10:01 crashing in the sea of superposition
1:10:04 where the atoms are smashing. One moment
1:10:06 I'm here the next I'm nowhere to be
1:10:07 found. Just a ghost in the function lost
1:10:09 in the quantum ground. Now let's talk
1:10:11 about the box. Let's talk about the cat.
1:10:13 Is he breathing? Is he dead? Is it a
1:10:14 fact or just a stat? Schrodinger's cat
1:10:17 alive and undead superposition of a
1:10:19 beast and a ghost released into
1:10:21 ubiquitous duality is maintained. The
1:10:24 probability of my greatness is all that
1:10:26 remains but the second you observe me
1:10:27 the wave function collapses. The
1:10:29 illusion is fractured. The mental state
1:10:31 snaps. And don't get me started on the
1:10:33 spooky action at a distance entangled
1:10:35 with the game showing zero resistance.
1:10:37 Two particles spinning correlated in a
1:10:39 trance even light years apart but locked
1:10:42 in the same. It's non-local, nonlocal,
1:10:44 and totally uncontrollable soul link
1:10:46 connected to the rhythm before you even
1:10:48 can blink, blink, blink, blink, blink.
1:10:59 Um, um.
1:11:10 >> [ __ ] insane.
1:11:31 [ __ ] crazy.
1:11:34 The sound of a clock ticking.
1:11:37 Let's see.
1:11:50 Detroit hip hop.
1:11:56 I'm going to do more options. I'm going
1:11:57 to do weirdness up.
1:12:03 Song title. Let's see.
1:12:06 Um we'll go M5.
1:12:15 Mystery.
1:12:27 Three years ago I would not have
1:12:28 believed this is possible.
1:12:30 Yeah, I know, man. It's crazy.
1:12:36 The well so Source Camp, like those
1:12:38 lyrics
1:12:42 The the the quantum cipher
1:12:46 What's the easiest place to find that?
1:12:49 If I go to photos
1:12:54 photos
1:13:05 Um
1:13:38 So, that those lyrics, it took 2 years
1:13:42 of commercial models
1:13:45 before it could do that level of of
1:13:47 rapping.
1:13:48 And then this in an open-source model is
1:13:51 like
1:13:53 probably more sophisticated than that.
1:13:56 I'm microscopic a microscopic chronic
1:13:58 and ironic symbolic topic dropping logic
1:14:01 in the pocket of quantum mechanic
1:14:02 profit.
1:14:04 See, I'm breaking through the barrier
1:14:05 tunneling through matter like a particle
1:14:07 through
1:14:08 through a potential well, watch the
1:14:10 physics shatter.
1:14:12 I'm Heisenberg in the heat. Yeah, the
1:14:13 principle is gritty. You can track my
1:14:15 position. You'll never catch the
1:14:17 velocity, see?
1:14:19 It's uncertain. The momentum is a
1:14:21 phantom, a manic volcanic organic
1:14:23 titanic tantrum.
1:14:25 This is
1:14:27 [ __ ] insane. This is the Gemma model
1:14:29 is the one I used. And I don't The other
1:14:31 model that I was downloading
1:14:35 was Quinn 35B.
1:14:41 35 billion parameter model.
1:14:46 All right, let's go let's go see how our
1:14:48 song is.
1:14:49 By the way, I think this thing is
1:14:50 rendering a video right now, so it's
1:14:53 very hot. Yeah, it's generating it's
1:14:56 about halfway through generating a video
1:14:58 and the whole back of it is is really
1:15:00 hot.
1:15:01 The electrons, they be flying.
1:15:06 All right, here's M5 mystery.
1:15:21 Okay, I don't like this though.
1:16:06 It's like crazy.
1:16:08 All right, let's let's have let's do
1:16:10 another thing here. This might be a
1:16:12 little slower cuz I'm rendering a video
1:16:14 while I'm doing it, but
1:16:16 this is now the Qwen 35 model.
1:16:19 And let me go get the prompt. I will do
1:16:21 do the exact same prompt copy.
1:16:24 We'll paste it in here.
1:16:27 I named chat Oh, no, we'll paste it in
1:16:30 here.
1:16:31 All right, so now I'm doing the Qwen
1:16:34 Well, the fan came on. It's not happy.
1:16:37 Well, it's so hot.
1:16:42 I wonder what the battery temp is. Can
1:16:44 you Can you look at that?
1:16:46 Let's see.
1:16:48 Um
1:16:49 I'm going to have to I'm going to have
1:16:50 to put this thing on an ice bath.
1:16:52 System settings.
1:16:54 Um let's see. Temp.
1:17:05 Temporary temperature.
1:17:11 [ __ ] it's hot.
1:17:14 All right.
1:17:18 It doesn't have any temperature not in
1:17:20 the basic things. Okay, here we go.
1:17:22 Boom.
1:17:24 All right, so it's thinking doing the
1:17:25 same thing. It's actually pretty fast.
1:17:28 I don't know if you can see it.
1:17:32 Brainstorming.
1:17:34 I'm getting to watch it's thinking. So,
1:17:36 these are Both of these that I got are
1:17:38 reasoning models.
1:17:52 Da da na na na na na na na na na na na
1:17:54 na na na na na na na na.
1:17:58 Final polish.
1:18:01 Self-correction.
1:18:03 Post-drafting check.
1:18:08 Beat drop, minor key, ominous piano
1:18:10 loop.
1:18:11 Yeah, look. They say knowledge is power,
1:18:14 but what if the power's a paradox?
1:18:18 What if knowing where you are means
1:18:19 losing who you are? Uh
1:18:21 Check the coordinates. Check the pulse
1:18:23 before the collapse.
1:18:25 Before you collapse this function, let's
1:18:27 go. Oh, that's just like an intro.
1:18:30 Verse one.
1:18:33 I'm in a state of flux. No fact to fix
1:18:35 the faults that I've got. Heisenberg's
1:18:37 principle, man, my position's a plot.
1:18:41 That's spinning out of control like a
1:18:42 particle no roll.
1:18:44 Trying to find stable ground. This is
1:18:46 cool. Okay. Okay, we got another one.
1:18:49 So, we're going to grab it all.
1:18:55 This is bonkers.
1:19:02 Back to Suno.
1:19:06 Pasted in all that. Let me grab this out
1:19:09 of here.
1:19:17 Hang on, I got to fix the uh
1:19:18 parentheses.
1:20:02 The bridge.
1:20:25 Outro.
1:20:43 >> Okay.
1:20:45 And down here we're going to paste that.
1:21:03 Okay.
1:21:07 So wait, we're going to call this one
1:21:08 What was that Quinn that I just used?
1:21:11 This is going to be called Quinn's
1:21:12 Menace.
1:21:16 Quinn's
1:21:19 Menace.
1:21:30 All right, Quinn's Menace. Here we go.
1:21:34 I I'm kind of
1:21:36 blown away how small this machine is for
1:21:38 how powerful it is.
1:21:42 Quinn's Menace. All right.
1:21:51 No longer driving. I'm guessing I'm just
1:21:53 time to catch up
1:21:55 the goodbyes.
1:21:58 Man, we're playing. We're playing a
1:21:59 little something in here. Quinn's
1:22:01 Menace. Here we go.
1:22:05 Yeah.
1:22:07 Look.
1:22:09 They say knowledge is power.
1:22:11 But what if the power's a paradox?
1:22:15 What if knowing where you are means
1:22:16 losing who you are?
1:22:18 Mhm.
1:22:20 Check the coordinates. Check the pulse.
1:22:24 Before we collapse this function.
1:22:27 Let's go.
1:22:35 Let's go.
1:22:38 I'm in a state of flux. No factor fix
1:22:40 the facts that I got. Heisenberg
1:22:42 principle, man, my position is a plot.
1:22:44 I'm spinning out of control like a
1:22:45 particle with no role. Trying to find a
1:22:47 stable ground, but the ground is losing
1:22:49 control over me. See, if you try to pin
1:22:51 down where I am, then I'm gone like a
1:22:53 ghost in the machine. Yeah, my existence
1:22:55 is wrong. It's uncertainty the center of
1:22:57 the winter. My sincerity is a phantom
1:22:59 when you're measuring my momentum in
1:23:01 this demon-driven confrontation. I'm
1:23:03 trying to keep my head above the water,
1:23:05 but I'm dead inside like Schrodinger's
1:23:07 cat in a box where the lid stays sealed
1:23:09 tight.
1:23:11 Am I alive or am I dead? Is the status
1:23:13 or the statue? Is it the law of physics?
1:23:17 Amazing.
1:23:19 Yeah.
1:23:22 Look.
1:23:24 They say knowledge is power.
1:23:26 But what if the power's a paradox?
1:23:29 What if knowing where you are means
1:23:31 losing who you are?
1:23:33 Uh.
1:23:34 Check the coordinates. Check the pulse.
1:23:38 Before we collapse this function.
1:23:41 Let's go.
1:23:49 Let's go. Uh.
1:23:51 Yeah. I'm in a state of flux. No factor
1:23:53 fix the facts that I got. Heisenberg
1:23:56 principle, man, my position is a plot.
1:23:58 I'm spinning out of control like a
1:23:59 particle with no role. Trying to find a
1:24:01 stable ground, but the ground is losing
1:24:03 control over me. See, if you try to pin
1:24:05 down where I am, then I'm gone like a
1:24:07 ghost in the machine. Yeah, my existence
1:24:09 is wrong. It's uncertainty the center of
1:24:11 the winter. My sincerity is a phantom
1:24:13 when you're measuring my momentum in
1:24:14 this demon-driven confrontation. I'm
1:24:16 trying to keep my head above the water,
1:24:18 but I'm dead inside like Schrodinger's
1:24:20 cat in a box where the lid stays sealed
1:24:21 tight. Am I alive or am I dead? Is the
1:24:23 status or the statue? Is it
1:25:19 >> All right, I'm impressed.
1:25:21 [ __ ]
1:25:23 Jesus Christ.
1:25:25 All right, do we have a generation?
1:25:26 Where Where's my Where is it putting my
1:25:28 videos?
1:25:30 Where is it putting my videos? And it
1:25:33 says no pending genera- Oh, no pending
1:25:35 genera- video archive. Ah!
1:25:38 We have videos.
1:25:45 Okay, this is this is LTX
1:25:49 LTX uh rendering on the machine
1:25:53 locally.
1:25:55 You're seeing it with me for the first
1:25:57 time.
1:25:59 No audio.
1:26:04 It's supposed to be a boxer, a dog
1:26:07 a
1:26:08 a dog boxer. It's It's not good. It's
1:26:10 not good.
1:26:14 And then And then this one This one is
1:26:17 is a is a human.
1:26:19 It's supposed to be a dog, like a boxer
1:26:21 dog.
1:26:26 Well,
1:26:29 All right. So, video's not ready yet for
1:26:32 local machines. I'll just keep doing
1:26:34 that in the cloud.
1:26:38 I can get rid of this one now.
1:26:41 Delta X.
1:26:42 That's not good.
1:26:44 Quit LT X generator. All right. I'll
1:26:46 We'll wait for video. I am going to
1:26:48 There's There's some audio models that
1:26:49 I'll play with. I'll see how those are.
1:26:52 But, I guess I'm going to I guess I'll
1:26:53 put Ollama on here. And then,
1:26:56 I'm thinking about instead of doing open
1:26:59 claw on this, I'm thinking about doing
1:27:02 uh What's that other one called?
1:27:06 Get rid of old models you don't use
1:27:07 anymore. Yeah, cuz they'll fill up the
1:27:09 [ __ ] hard drive.
1:27:11 Um
1:27:22 All right, good people.
1:27:24 Kyle, can you explain how an LLM is run
1:27:27 locally? Sure.
1:27:28 Okay.
1:27:31 So, what happens when when you use Chat
1:27:34 GPT
1:27:37 is
1:27:40 they've got their Chat GPT has their big
1:27:42 ass model that's sitting on a bunch of
1:27:44 computers in the cloud.
1:27:47 And when when when we're typing with
1:27:50 When you're typing into Chat GPT, when
1:27:52 you hit submit, it's actually taking
1:27:54 what you typed and and
1:27:57 the rest of the context window, and it
1:27:58 sends it it's Well, probably within the
1:28:01 session it's caching
1:28:03 the context window, but whatever, it
1:28:04 doesn't matter.
1:28:06 It's taking what you're typing, and it's
1:28:08 it's sending that prompt to OpenAI
1:28:11 servers. So, there So, big giant server
1:28:14 farms that everyone's talking about are
1:28:17 doing the inference. So, so
1:28:20 off of your computer in in the cloud,
1:28:23 these big machines are processing all of
1:28:25 your tokens, and then when it when it
1:28:27 streams it back to you, that's when you
1:28:29 see it typing.
1:28:31 So, all the processing was done on the
1:28:33 big iron in the cloud, and then it sends
1:28:35 those words back to your computer.
1:28:38 There's a couple of downsides to that.
1:28:40 One is
1:28:42 you are beholden to their privacy
1:28:44 policy, and if you read the Open A AI
1:28:46 privacy policies, they kind of suck.
1:28:49 They kind of say,
1:28:51 "We're going to work really hard to not
1:28:53 [ __ ] things up for you. We might use it,
1:28:56 we might not." It's, you know, the
1:28:58 their agreements are shitty.
1:29:00 Um, and they're probably going to get
1:29:02 shittier and and like people that pay a
1:29:03 lot of money will will get, you know,
1:29:06 good treatment like that, but the rest
1:29:07 of us like anything that you send up
1:29:09 there is training their models, goes
1:29:12 into those models, is potential security
1:29:14 risk.
1:29:16 When you run a model locally, you you
1:29:18 basically download sort of the
1:29:20 equivalent of Chat GPT in the browser.
1:29:22 So, there's this this one piece of
1:29:23 software called LM Studio that's
1:29:26 basically just like a a chat window,
1:29:29 like a Chat GPT window, that you can
1:29:33 download and and select different
1:29:35 models, open-source models, locally to
1:29:39 your machine. So, you're actually
1:29:40 downloading the model itself onto your
1:29:42 machine. Now, the models that they use
1:29:44 up in the cloud, like Opus 4.6, that
1:29:47 thing's so massive, it can't run on on a
1:29:51 local desktop machine. It has to run on
1:29:53 massive machines. So, all of the stuff
1:29:56 that we're playing with on these local
1:29:58 on on laptops and things like that are
1:30:00 sort of highly compressed smaller models
1:30:03 that are not as capable as those big
1:30:05 things, but they've been getting better
1:30:07 and better and better. So, both of the
1:30:09 ones that I used tonight, Gemma 4, I
1:30:12 used the
1:30:13 26 billion parameter model, and then
1:30:16 Qwen
1:30:18 Qwen 3.5, I used the 31 billion
1:30:21 parameter model. And they're just
1:30:23 basically
1:30:24 decent size models designed for desktop
1:30:26 machines.
1:30:28 Um so, the model itself is sitting on my
1:30:31 machine. So, when I say, "Write me an
1:30:33 M&M rap lyric," it's not going to
1:30:35 anyone. It's just happening like I could
1:30:37 be completely disconnected from the
1:30:38 internet, and that thing would still
1:30:40 work.
1:30:43 Like it's [ __ ] bonkers.
1:30:45 So, it's like sitting on that computer
1:30:46 right there.
1:30:48 We used to make this joke at at
1:30:50 agency.com. We'd be like, "Yeah, cuz we
1:30:53 had a client say this once." He's like,
1:30:54 "Hey, I was wondering if you could come
1:30:56 over and install the internet on my
1:30:57 computer." And we used to always make
1:31:00 fun of him cuz it's like you can't
1:31:01 install the internet on your computer.
1:31:03 It's the whole [ __ ] internet. That's
1:31:05 essentially what we have here now.
1:31:08 Right? Like Like all of the world's
1:31:11 knowledge that was out on the internet
1:31:12 has been smashed into this
1:31:14 file that you can download to your
1:31:16 machine, and now I can sort of chat
1:31:18 GPT-like chat
1:31:21 with a very, very capable reasoning
1:31:23 model
1:31:24 where no data ever leaves my machine,
1:31:26 and all of that knowledge is sitting on
1:31:28 that machine locally. So, if LLMs run
1:31:31 locally, is privacy and security a
1:31:33 non-issue? Privacy and security is a
1:31:35 non-issue.
1:31:37 I mean, to the extent that
1:31:39 if I leave this machine unsecured, and
1:31:42 someone can hack into it from the
1:31:43 internet, they could hack into that
1:31:45 machine, but I am not sending
1:31:48 any prompts anywhere. Anything that's
1:31:50 being generated is just happening on
1:31:52 that local processor, on that local hard
1:31:55 drive.
1:31:56 Nothing is going out to the world.
1:31:59 It's amazing
1:32:01 that that we're at a place where these
1:32:02 models are this good.
1:32:05 I mean, two for two, those models
1:32:08 basically outwrote
1:32:12 the main chat GPT model for a long time.
1:32:14 And I And I did um I tried to do one of
1:32:16 these M&M rap about quantum mechanics
1:32:19 things on
1:32:21 on chat GPT 5.1 or 5.2 and it sucked.
1:32:26 The The five series of of OpenAI is just
1:32:29 not good. Four Four Four and 4.0 were
1:32:31 really good.
1:32:33 Um but the five series isn't good. But
1:32:35 Claude's good and Gemini's good.
1:32:38 Um but you're but you're sending your
1:32:40 data to Google. You're sending your data
1:32:42 to Anthropic. You're sending your data
1:32:44 to OpenAI.
1:32:45 I now don't have to do that.
1:32:48 And also, here's the other thing, Source
1:32:50 Camp,
1:32:51 when I do my little agents and they're
1:32:53 going to go out and do all this stuff
1:32:55 for me,
1:32:56 I don't need to be paying API costs or
1:32:58 running into rate limits for those
1:33:01 services because all the
1:33:03 all the large language model stuff will
1:33:05 happen locally.
1:33:08 There's a good 4.0 on LM Studio. 5.2
1:33:11 does suck. Thank
1:33:13 Really does, doesn't it?
1:33:17 I'm waiting for Sam to tweet so I can
1:33:20 tell how bad it sucks. Yeah, exactly. I
1:33:24 Listen, you know, they're saying 5.5 is
1:33:26 going to be their redemption or six or
1:33:28 whatever it is. The But here's the
1:33:30 thing.
1:33:31 Um
1:33:32 Anthropic called their model Mythos.
1:33:37 OpenAI called their model Spud.
1:33:44 I think there's your answer.
1:33:49 Yeah. Yeah, this is our This is our new
1:33:52 state-of-the-art. Uh that's called soda.
1:33:54 It's not soda. I like soda. Soda's
1:33:57 tasty. I'll tell you one of my favorites
1:33:58 is the orange creamsicle. It's got a
1:34:00 little touch of vanilla in it. Anyway,
1:34:03 our our new state-of-the-art, that's
1:34:06 what that's what soda stands for. Sota
1:34:09 stands for. Uh
1:34:11 we got a really clever nickname for it.
1:34:13 Um one of the lead engineers, his
1:34:15 grandma is from Idaho, and she worked on
1:34:18 a potato farm.
1:34:19 And what they used to refer to the
1:34:21 potatoes as was spuds.
1:34:25 Fantastic. I thought, "Hey, let's call
1:34:28 this multi-trillion dollar model
1:34:31 um spud cuz cuz potato, right? For for
1:34:36 Jeremy."
1:34:44 Terrible naming. What the hell?
1:34:51 All right, kids. I'm going to get out of
1:34:52 here. We should have spud in the next
1:34:55 week or two, by the way. Um we're
1:34:57 probably not going to have mythos until
1:34:59 I think they said June or July.
1:35:01 And you know, it's possible we we don't
1:35:03 get it we don't get it at all.
1:35:07 I don't know.
1:35:09 I don't know, man. I don't I I don't
1:35:11 know what to do anymore, but I now have
1:35:12 a machine where we can do actual local
1:35:14 stuff that's kind of cool.
1:35:16 Spud McKenzie, exactly.
1:35:20 Hey hey Sam, quick question. Have we
1:35:23 named the new model yet? Oh, no, we're
1:35:24 trying to come up with some
1:35:26 You know what movie I saw the other
1:35:28 night on on TNT? No, is TNT still
1:35:31 around? Yeah, they're still around. I
1:35:33 was watching TNT and and the movie Spuds
1:35:36 McKenzie came on.
1:35:38 We we could name it spud.
1:35:46 Like someone did that.
1:35:49 And no one in the room said no.
1:35:54 We've invest We've invested $20 billion
1:35:56 to build this thing. Maybe we shouldn't
1:35:59 call it Spud.
1:36:04 Will you play more of local models
1:36:06 tomorrow night? Yeah, you know what I
1:36:08 think I'll do, Cam, is is I think that
1:36:10 what I I'll do is I'll replace my
1:36:15 my laptop my
1:36:18 I'll replace my pathetic
1:36:20 horrific
1:36:23 unusable M1 Mac
1:36:26 MacBook Pro
1:36:28 with my new Darth Vader black 14-in M5
1:36:32 Max MacBook MacBook MacBook Pro Max.
1:36:37 It's the max you can get. Um
1:36:41 So, yeah, I'll just I'll just stream
1:36:43 from that machine and then we can play
1:36:45 with local models and
1:36:47 it takes them a while to download, so
1:36:48 maybe I'll download a couple of more
1:36:50 tomorrow.
1:36:51 That'd be cool. I feel like I've been
1:36:52 doing this alone for a while now. Yeah,
1:36:54 we can do that.
1:36:55 Does Spud still run on chips?
1:36:59 Okay, tomorrow tomorrow's Friday. What
1:37:01 do we do Friday?
1:37:04 What do we do Friday? We do office
1:37:05 hours. So, come to office hours
1:37:07 tomorrow.
1:37:08 Um
1:37:11 Last week got a little intense.
1:37:15 Got a little spiritual.
1:37:17 Um
1:37:20 But, you know, Mythos came out and it
1:37:22 was it was scary and weird. So, so come
1:37:25 to come to office hours and then
1:37:27 tomorrow night is Friday night date
1:37:29 night.
1:37:30 And here's the deal.
1:37:34 We're going to be shifting where we
1:37:36 stream this show, the live, inside the
1:37:40 AI Salon. So, tomorrow
1:37:43 we're going to do our first actual
1:37:45 experiment of that. So, we've been doing
1:37:46 a little bit of testing in the past week
1:37:48 or two. Well, I haven't. I've just been
1:37:50 talking. Brandon has been doing work on
1:37:53 the on the back end. He's got this thing
1:37:55 figured out. So, we're going to do a
1:37:56 test tomorrow
1:37:58 that um is
1:38:01 this will be streaming inside the salon.
1:38:03 So, go into the If you haven't been to
1:38:05 the salon, go to community.thesalon.ai.
1:38:08 Um
1:38:09 the way the format is likely going to
1:38:11 work when we finally make the change,
1:38:13 I'm going to move the show earlier. I
1:38:16 think we're going to start the show at
1:38:17 7:30 instead of 8:00
1:38:19 or even 7:00 instead of 8:00.
1:38:22 And I'm going to do like a 10 or
1:38:24 15-minute pre-show out to the world like
1:38:28 on TikTok and YouTube and LinkedIn and
1:38:31 Twitter.
1:38:33 And then it'll be a countdown to the
1:38:35 actual show starting. So, I'll do all
1:38:37 the guitar playing and just, you know,
1:38:39 doing happy happy horse [ __ ]
1:38:42 out in the world and then we'll push
1:38:44 people into the salon. And then you're
1:38:46 going to be able to see the stream,
1:38:47 chat, everything within the salon. I'm
1:38:49 really excited about it. All right? So,
1:38:51 that's tomorrow. So, don't miss it. Tell
1:38:53 your friends. Bring If you know any
1:38:55 salon people who haven't been here in a
1:38:57 while, tell them to get their ass to the
1:38:59 salon. Okay?
1:39:01 Let's get this thing fired up again.
1:39:02 Here's an insight I had. I'm going to
1:39:04 I'm going to take This is This is not
1:39:06 quite a 30-minute goodbye, but I'm going
1:39:08 to take a few minutes here.
1:39:11 I had a revelation today
1:39:13 that
1:39:16 I I told Greg earlier that I'm like I
1:39:18 don't feel I don't like not being the
1:39:21 expert. I don't like not having my head
1:39:23 around how all this [ __ ] works and what
1:39:25 it all is and what it all means.
1:39:27 I feel like I I was pretty good at that
1:39:29 for a while.
1:39:30 And I'm not good at that anymore and I
1:39:31 don't like it.
1:39:35 And my my instinct
1:39:37 is to withdraw. My instinct is oh, don't
1:39:40 yeah, don't that that that
1:39:42 is to not connect with people. Like I
1:39:44 have a hard time asking for help.
1:39:47 I sense that there's a lot of people
1:39:50 right now even in the AI Salon community
1:39:52 that are just like I don't know what to
1:39:53 do. I don't know what I'm doing anymore.
1:39:57 That are withdrawing.
1:40:00 Reach out to people in the salon that
1:40:01 you know and tell them to check back in.
1:40:04 I think now more than ever is an
1:40:06 important time to connect in community.
1:40:10 All right, Cam Cathcart and same same
1:40:11 thing.
1:40:22 So it will only be on the salon not on
1:40:24 Tik Tok and YouTube.
1:40:26 We don't know yet Source Camp.
1:40:31 We don't know yet. That's part of what
1:40:32 we're experimenting with is where it
1:40:35 actually lives. But the whole the whole
1:40:36 idea here part of the shift is
1:40:39 I've been putting all of my energy
1:40:41 outside of the salon.
1:40:43 And then talking about the salon but
1:40:45 like all this stuff is happening outside
1:40:46 of it.
1:40:47 So part of what we're doing is let's
1:40:49 take this energy and put it inside the
1:40:51 salon.
1:40:52 So that you don't have to go to the
1:40:54 salon, you'll already be in it. You'll
1:40:56 already be experiencing this within it.
1:40:58 And it so it'll drive people into the
1:40:59 salon and it'll drive participation in
1:41:01 the salon if we do it right. Um we don't
1:41:04 quite know what what right looks like
1:41:06 right now but that's the reasoning for
1:41:07 it.
1:41:08 All right?
1:41:10 I think you're right about this Kyle.
1:41:11 About people about people kind of
1:41:13 checking out. And it's listen
1:41:16 it is not it's not checking out like I'm
1:41:18 done with AI. I I really think this is a
1:41:21 I really think this is a thing where
1:41:22 it's like what am I supposed to do?
1:41:27 Like the thing that I thought I had my
1:41:29 head around nobody cares about that
1:41:31 anymore. It's moved on. They're all
1:41:32 doing this open claw thing. I don't even
1:41:34 know what the [ __ ] that is.
1:41:36 Alex Finn's out there. He just raised a
1:41:37 hundred million or some stupid amount of
1:41:39 money for his his claw bot his open claw
1:41:43 startup to build a company on a chip and
1:41:47 make it easy for other people to do
1:41:48 this.
1:41:51 And meanwhile, you know, I'm back at the
1:41:53 ranch like, how do you
1:41:55 how do you what's a prompt?
1:41:57 Right? And they're they're off doing
1:41:59 that thing.
1:42:01 And so I think it's it's
1:42:03 I think it makes sense that people like
1:42:06 just [ __ ] No, I know. No, I don't know.
1:42:10 I think we should be in that discomfort
1:42:12 together. I think we should reconnect.
1:42:13 So
1:42:15 pull some people back in. All right?
1:42:18 Cool?
1:42:20 Will we be able to post in the salon
1:42:22 while watching in the salon? Yes,
1:42:24 there's a really cool feature. Danielle,
1:42:27 I think you're going to love this.
1:42:29 There's a cool feature that Brandon
1:42:30 discovered called picture in picture
1:42:32 where when you click it, it pops the
1:42:34 video stream out into a separate window
1:42:37 and then you just have the chat window.
1:42:38 It's a it's a really cool thing.
1:42:42 I've been cooking stuff up whilst
1:42:44 building
1:42:45 a plane and it feels crazy. Building on
1:42:47 a plane? That's really cool. I'm excited
1:42:49 to see it in the salon. Yeah, I'm really
1:42:51 excited, Joy. I think this could be like
1:42:53 a really fun thing.
1:42:55 It's we're we'll still be using
1:42:57 StreamYard so it'll it'll look it'll
1:42:59 have all the same look and feel of
1:43:00 StreamYard. You'll still be able to
1:43:02 comment in in you know, in the context
1:43:05 of the show where I can see it. Like all
1:43:07 of your comments show up in StreamYard.
1:43:09 It's cool.
1:43:10 But they also show up in the in the
1:43:12 salon itself. What I don't quite know
1:43:14 yet is can I send you off to some place
1:43:17 some other place in the salon and that
1:43:19 picture in picture window still stays
1:43:21 up.
1:43:22 If it does, that would be really cool
1:43:24 cuz then you could be
1:43:26 trolling around the salon and doing
1:43:28 other things while that stream is still
1:43:30 there. Brandon is
1:43:33 just a new tab.
1:43:36 Okay, but you could do that.
1:43:39 So, you could have you could have two
1:43:40 tabs you could have two windows open
1:43:42 with the AI Salon in both and in one is
1:43:44 the is the stream and then the other one
1:43:46 is the salon. So, so something like
1:43:48 that. But, that's why we're
1:43:49 experimenting. Like, you're you're the
1:43:51 irregulars. Like,
1:43:53 you're the we want to make sure that
1:43:54 your experience is still really good.
1:43:57 Right? It's still like what you want it
1:43:59 to be.
1:44:01 And so, we're taking time to do all this
1:44:02 experiment stuff. So, if it's all [ __ ]
1:44:04 up, we'll find that out.
1:44:06 Like,
1:44:08 we tried to do some things using Mighty
1:44:10 Networks streaming they they they've got
1:44:12 internal streaming within Mighty
1:44:14 Networks. It sucked. It sucked bad. It
1:44:17 was unusable.
1:44:19 So, this thing is different. This is
1:44:20 StreamYard streaming into
1:44:23 Mighty Networks.
1:44:25 So, we think it's going to work really
1:44:26 well, but that's why we're
1:44:27 experimenting. All right?
1:44:30 Beautiful. I think it'll be awesome.
1:44:32 Will they ban you for zooming zooming in
1:44:34 on your forehead?
1:44:38 You all you all look cute. All right,
1:44:41 I'm out of here. Peace out. Have a good
1:44:42 night. Tomorrow, office hours 11:00 a.m.
1:44:45 Uh check in the AI Salon events. You can
1:44:48 RSVP for it and the link is there for
1:44:51 that thing.
1:44:52 Once we get this figured out, I think
1:44:54 that we're going to probably do the same
1:44:56 thing with office hours, but I'm not
1:44:58 sure yet. So, we'll see.
1:45:00 Um
1:45:01 but you're definitely going to access
1:45:03 office hours through the salon. I don't
1:45:06 know if it's going to stream in it.
1:45:07 That's we haven't decided that yet. All
1:45:10 right? Cool. Oh, and by the way,
1:45:13 um Perplexity came back with how to
1:45:15 pitch your song a complete strategy.
1:45:18 This guide covers show the full report.
1:45:26 Lyrics human, melody, composition
1:45:29 overall you, production arrangement
1:45:31 Suno.
1:45:34 Sound recording master Suno plus your
1:45:36 inputs murky.
1:45:38 In October they have they now accept
1:45:39 registrations of partially AI generated
1:45:42 musical works where the composition has
1:45:43 human authorship.
1:45:45 This means royalty collection is not
1:45:47 blocked by the AI production layer.
1:45:50 After the Warner Music Group, Suno
1:45:52 revised its ownership language
1:45:53 significantly. Paid subscribers have
1:45:56 commercial use rights,
1:45:58 but Suno clarified they generally are
1:45:59 not considered owner of the song.
1:46:05 Generally we're not owner of the song,
1:46:08 but if it becomes a big hit, we might
1:46:09 decide to be.
1:46:12 Critically, Suno's own terms of service
1:46:14 warns, Suno makes no representation or
1:46:16 warranty that you that any copyright
1:46:18 will vest in any output. Yeah.
1:46:22 The hidden risk. Uploading original
1:46:23 lyrics to Suno grants them a perpetual
1:46:25 irrevocable license to use those lyrics,
1:46:28 including potentially for AI training.
1:46:32 All right. Nashville's view on AI
1:46:35 produced demos is divided but shifting.
1:46:37 A document in 2026 pitch event,
1:46:39 multiple AI demos were presented and
1:46:42 received positive reactions. The
1:46:44 publisher was evaluating the song, not
1:46:46 the production. Nashville hit songwriter
1:46:48 Tom Shepherd has publicly endorsed Suno
1:46:51 for demo creation, calling it a game
1:46:53 changer for writers. However, the sync
1:46:55 licensing almost universally reject AI
1:46:59 generated tracks due to copyright
1:47:01 ambiguity. And many Nashville A&R reps
1:47:04 still reject AI demos on site.
1:47:07 That'll change.
1:47:09 For serious pitching, invest in a
1:47:11 Nashville human produced demo.
1:47:14 400 bucks for a full country band demo,
1:47:16 that's not that bad. Or 150 for guitar
1:47:20 vocal version.
1:47:21 Nashville's country demo studio
1:47:23 explicitly offers
1:47:26 an AI to human service. They take your
1:47:28 Suno demo as a road map and recreate it
1:47:31 with real musicians. That's [ __ ]
1:47:33 cool.
1:47:37 From simple idea or AI sketch to
1:47:39 authentic hit. How it works.
1:47:43 Hear the quality of our country
1:47:44 songwriter demos for yourself. This is
1:47:47 really smart.
1:47:49 This is really [ __ ] smart.
1:47:52 Ready to send your song?
1:47:56 I'll tell you what would be interesting.
1:48:03 I'll tell you what would be interesting
1:48:05 is
1:48:08 would the would the human produced song
1:48:10 be as good as the AI produced ones?
1:48:13 First time writers to season pros.
1:48:21 Tick tock fin.
1:48:22 I read one music site is getting 60,000
1:48:25 AI submissions a day.
1:48:27 Yeah, I bet. I bet.
1:48:31 Yeah, I think this is this is a a big
1:48:34 ass long shot.
1:48:38 All right, cool.
1:48:40 Groovy. Well, Perplexity did its job.
1:48:42 We'll go we'll go look at what they what
1:48:44 they have to say. All right, cool.
1:48:47 Um, peace out. Thanks everybody. Hope
1:48:49 you had a good night. Bye.