1/6/2026 - AI Success Stories: From Sleep Analyst to Hollywood & Corporate AI Educator

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0:01 to fall in love.
0:48 Standing between
0:51 you and a hard place is the
0:58 Standing too near
1:01 you in a fire. Makes it clear.
1:08 You're trouble to me.
1:14 Rich rubble. Can't you see?
1:20 Leaning in close.
1:24 Smell of your perfume scares me most.
1:27 You You singing champ? This is it.
1:30 Leaning away
1:34 feels stronger every
1:37 day.
1:41 Your trouble to me.
1:47 Real trouble. Okay, if you'll see
2:25 Every time I see you now,
2:28 get that look in mine.
2:32 Every time I see your mouth, I hear that
2:36 smile.
2:39 The early misty morning that I heard the
2:43 engine turning in the old for outside.
2:53 You were leaving me
2:56 again today.
3:00 You were convinced me
3:03 again today.
3:06 You're leaving this hotel looking for
3:09 someone else's golden ring.
3:15 Should I say
3:17 so long, Suzan?
3:23 Hush now. Don't you cry.
3:32 Um, what's happening good people? What
3:35 is going down? What is What is my hair?
3:38 My hair. My hair. What is happening with
3:42 my hair?
3:43 It's got I got some new product and it's
3:46 uh
3:48 Well,
3:50 it's tall.
3:52 Hey, Steo. What's happening? What's
3:55 shaking with you good people? What's
3:57 What's going on with the good people
3:59 here on the AI learning lab?
4:03 Are you all? It's good. Oh, good. Here's
4:07 good. All right. Fine. I'll take it.
4:32 D.
6:09 Wait, why is Joy Party freaking out? Why
6:13 is Joy Party freaking out?
6:20 Oh, carnival songs rule. You heard my
6:23 little carnival song.
6:32 Oh man, what's happening with Joy Party?
6:35 Okay. A famous movie person, Oscar
6:37 nominee reached out. Verified it's
6:40 really him. No idea why, but meeting
6:43 scheduled. Okay. Joy Party.
6:47 Attention. Joy Pertie. Is Joy Pertie in
6:50 the house? Joy. Joy Party. He's reaching
6:53 out because you're talented.
6:56 Hate to break it to you, but that
6:58 imposttor syndrome's got to go. All
7:00 right. Fantastic. BACK TO YOUR REGULARLY
7:03 SCHEDULED PROGRAMMING.
7:06 WELL, that's [ __ ] far out.
7:16 For those of you here who might be new,
7:20 pay attention to what's happening.
7:25 Look around you. If you were there at
7:27 the salon tonight and you heard Kelly
7:29 Bes talk about the fact that some major
7:33 Hollywood screenwriter is reaching out
7:34 to her wanting to work with her. She's
7:37 going to can as a
7:41 special member of the jury.
7:44 A jury that's all pasty white men.
7:50 Joy Perie is getting reached out to by
7:52 an Academy Award nominee. Why? because
7:56 she's talented and she's putting her
7:58 work out there.
8:00 And you're like, "Well, yeah, but Joyy's
8:02 got like 30 years of film editing
8:04 experience." Oh, does she? Or is she a
8:09 sleep analyst
8:11 that got a little inspired later in
8:13 life?
8:21 Oh my god. Yeah. Let us know how it
8:24 goes. That's so cool, man.
8:36 How did they reach out to you?
8:51 I would say that there's a couple of
8:52 things to pay attention to here with
8:55 with what's happening with Joy, what's
8:56 happening with Kelly.
9:00 I think that
9:02 Kelly talked about this a bit tonight
9:04 and and you did a bit as well, Joy, but
9:06 I but
9:09 it's not that they're both doing video.
9:11 It's not that
9:14 What Kelly talked about tonight is that
9:19 she actually doesn't have a lot of
9:21 interest in doing work that doesn't
9:23 interest her,
9:26 right? She doesn't want to work for
9:27 brands. She doesn't want to do shitty
9:29 schllocky buy more Doritos videos.
9:35 She wants to do like real work. One of
9:37 the things that Joy,
9:40 one of the inspiring things about Joyy's
9:42 story, my favorite part about your
9:44 story, Joy, is when I asked you when you
9:47 did a video for the AI salon
9:50 and I watched it and I'm like, this is
9:52 better than it. She's not a beginner
9:54 because it's got it's got better edits
9:57 and writing and comedy and
10:01 just sophisticated [ __ ] in it. way
10:03 clever ways that she covered up the jank
10:06 of the technology of the time.
10:09 And I said, "Oh, you've been a filmmaker
10:11 by training, right?" She was like, "No,
10:14 I'm a sleep analyst."
10:18 I [ __ ] love that. And I said, "Well,
10:20 how did you like how how did you do
10:23 this? If you're just learning this [ __ ]
10:26 you shouldn't be this good."
10:28 And her answer was the best answer. All
10:31 my life, I've had stories I've wanted to
10:34 tell, and I never had a way to do it.
10:40 Both of these women are getting really
10:42 interesting work and offers
10:45 because the work that they're doing in
10:48 AI is deeply connected to who they are
10:52 and what they're passionate about. Joy,
10:54 that's why Joy Perie, you're so funny.
10:58 It's helping with my anxiety.
11:07 Oh my god, that's awesome. There there
11:14 I can't state this enough.
11:19 Our job in the future is not going to be
11:22 learn how to use this piece of software.
11:25 Our job in the future is not learn how
11:28 to do accounting. Our job in the future
11:30 is not learn how to do this tactical
11:33 execution thing.
11:37 Our job in the future is to be able to
11:40 understand who we are, what we want,
11:48 who we care about,
11:50 how we want to impact them.
11:54 And then just go do that
11:57 heart.
12:00 And this is not that's follow your
12:02 passion [ __ ]
12:05 right? You know, all the self-help gur
12:08 gurus do.
12:11 Just follow your passion. It'll come. It
12:14 may, but you could also go broke.
12:22 This is about deep down inside every one
12:24 of us.
12:26 There's the answer to that question.
12:27 What do you want more of in your life?
12:31 I want more money. No, you don't.
12:36 I want a car. Okay.
12:38 Well, what's that car going to get you?
12:40 I want girls. Okay. You want to get
12:41 laid? All right. I want to be loved. Oh,
12:44 okay. There it is. We all We all know We
12:47 all know somewhere deep down there is
12:50 that thing.
12:55 What if
12:57 the future that we're stepping into, the
13:02 science fiction movie that we all now
13:04 live in?
13:16 What if our job in that future was just
13:19 to understand what it is that we want
13:22 and be clear enough about it that we're
13:24 motivated to make it happen and that the
13:27 AI is just going to help us do it. The
13:29 AI is just there as an enabler
13:33 and it's up to us. Do you want to do
13:34 something shitty?
13:37 Do you want to bully more people per
13:40 hour than any other bully in history?
13:42 You can do that.
13:46 You want to tell cool stories.
13:50 What do you want to do?
13:57 Also important to have a support system
13:59 community like yourselves in a salelon.
14:02 I would feel so alone and isolated
14:04 without.
14:14 You know what's going to be you know
14:16 what Joy I mean well first of all you
14:21 know what what what is a possibility
14:23 here is that someone from Hollywood is
14:27 reaching out to you. It's possible they
14:29 saw you on Festivus or they saw a a
14:32 video of you talking about well I made
14:36 this video and when I upscaled it kind
14:38 of [ __ ] up their hands. So, I spent
14:40 five months
14:42 rotoscoping in fingers and hands
14:46 so that my video looks good.
14:50 Like, you've got you've got a
14:53 a drive to do quality work, Joy. That is
14:59 It's not common.
15:02 It's not common. It's not common for
15:05 someone to to start working on a film.
15:09 This this is the story of the AI salon
15:11 film. And sorry if I'm picking on you. I
15:12 hope I don't make you feel
15:13 uncomfortable. I'm really proud of you.
15:16 She starts working on a film using
15:18 shitty AI tools that are crappy.
15:22 And then she realizes um I don't really
15:25 know much about editing. So she spent
15:28 like whatever two or three months
15:30 working on the first two and a half
15:31 minutes of this film. and she was like,
15:33 "Uh, you know, if I'm going to be a
15:35 filmmaker, I might want to learn about
15:37 editing or something." She went out and
15:39 she got Da Vinci Resolve. And then she
15:42 spent like the next six months making
15:44 other films
15:46 so she could learn Da Vinci Resolve
15:50 so she could then come back to
15:52 the salon film she was working on and
15:54 finish it. She finished it in like a
15:56 week and a half or two weeks because she
15:58 know used the tools down. The tools got
16:00 better.
16:03 That's not common.
16:07 So I think what that what that person is
16:10 going to find out when they work with
16:12 you is that they made the right call by
16:14 reaching out and as and as listen as
16:20 as scary as it is and as as like yeah
16:23 that voice in your head like I don't
16:25 know if I'm going to be good enough.
16:27 That's all of us. We all have that.
16:32 I Every time someone reaches out to me
16:34 and says, "You want to do a job?"
16:37 Every [ __ ] time.
16:39 And then I do it and I'm like, "That was
16:41 fine. You'll be the same." It's really
16:44 cool. Really cool.
16:55 It took me years to push myself to 24
16:58 chapters before AI. Yep. All my life
17:01 I've had stories to tell, but writing
17:03 them writing was so timeconuming. Yep.
17:21 Anyway, Joy, that is very exciting. And
17:24 listen, it's like here here's the thing
17:26 to know about Hollywood and Hollywood
17:28 people and and creative projects. It's
17:31 it they're a mess. Every everyone's all
17:33 over the place. So, it's as likely it
17:36 turns into just being a [ __ ] show or a
17:38 nothing or it could turn into something
17:41 really big and exciting. I mean, that's
17:42 you just keep keep rolling the dice,
17:45 man. Someone reaches out and said, "I
17:46 won an Oscar and I want to talk to you."
17:48 Go [ __ ] talk to them.
17:57 You never know. You never know.
18:05 So, tonight at the AI salon, if you
18:07 weren't there, we had speakers from AI
18:10 Festivus.
18:11 We invited a bunch to show up and then a
18:13 bunch more showed up because it's a cool
18:14 community. Um, and we just had people
18:17 come up come up on stage and just talk
18:20 about what they talked about and what
18:21 were their big insights from festivists
18:23 and what are their hopes and dreams for
18:25 the future.
18:29 And it's like it's like it's just a cool
18:32 community of of people like, "Yeah, I
18:34 think I'm getting my head around this
18:36 thing. I'm gonna I think I'm going to go
18:38 just [ __ ]
18:40 I'm GOING TO GO
18:43 AND THEN WE HAVE NEW PEOPLE IN THE
18:44 COMMUNITY. THEY'RE LIKE, "Holy [ __ ] you
18:47 can just do this."
18:50 Oh, thank you so much, whoever did that.
18:52 Digital gods. Lord, digital gods coming
18:54 in hot with the Tik Tok gifts. Thank
18:56 you. Um,
18:59 it's just a it's a cool mix. You know
19:01 what's fun is
19:04 is being in a community where someone
19:06 who comes in who knows nothing
19:09 is celebrated as much and and and
19:12 particularly
19:14 people who know nothing in our community
19:16 come in and they're like uh hey how's it
19:20 going? Yeah. Uh I know nothing.
19:24 So the courage it takes for someone to
19:26 just do that gets celebrated and then
19:29 you know someone you know someone
19:32 reaches out to someone to do some really
19:34 cool work and people like [ __ ] yeah.
19:37 There's something about this community
19:39 that's just it's just awesome. It's just
19:41 celebratory.
19:44 Everyone wants everyone to win,
19:48 you know? I
19:51 like I'm I I'm I'm like right in the
19:54 middle of sort of personal
19:55 transformation and then I'm right in the
19:57 middle of this transformation where
20:01 David Shapiro did a po a post today
20:03 where he's like shit's getting real,
20:06 right? Shit's getting real. I don't know
20:08 if you saw what Nvidia put out today,
20:10 but they've got some new six chip set
20:15 on a board that does inference 10 times
20:19 10 times faster for four or five three
20:22 times cheaper, 10 times, I don't know.
20:27 Shit's going to get real in 2026. It's
20:29 going to get real.
20:32 And none of us know what's going on.
20:34 None of us know
20:36 how to generate money. None of us know
20:39 how to generate demand.
20:45 But the people in this community are
20:48 like,
20:49 you know what I need to do? I just need
20:51 to keep working.
20:53 Liz Miller Gersfeld today, she's like,
20:56 I'm trying to articulate what I do to
20:58 people and I literally can't form the
21:00 words,
21:02 right? She literally can't figure out
21:04 what to say to people who don't
21:06 understand AI
21:09 what she does.
21:13 But at some point
21:16 she'll be able to and that'll be fine.
21:19 But she said in the meantime I'm going
21:21 to do good work. I'm going to do work
21:22 that I'm excited about. I'm going to I'm
21:24 going to come up with ideas and then I'm
21:26 going to do work that lives up to those
21:28 ideas and that's going to be my job.
21:31 I think that's I think that's our
21:33 [ __ ] job. I think that is our [ __ ]
21:35 job. I'm laughing here because I was
21:38 like, uh, I have no clue. Tell me.
21:41 >> Yeah. I mean, listen, Sonia, it it it is
21:46 it is a powerful place to be to just
21:48 say, you know, I'm here and I'm just
21:52 getting started.
21:54 And I and I liked what you said today
21:56 that that you're like listen, you know,
21:58 you guys that have been doing this for a
21:59 while, you're you're in a different
22:01 place. I'm here just like everything's
22:03 open field to me right now. That's
22:06 that's beautiful. It's a good reminder
22:08 to me to like, you know, [ __ ] remind
22:10 yourself of the wonder of these tools
22:12 right now. New Tik Tok pin. Am I the
22:15 only one that's excited for the new Lego
22:17 release? If you didn't see Lego at CES,
22:19 it looks like it looks like the
22:21 breakaway hit of CES so far is LEGO
22:25 created a 2x4 brick that's got a um
22:30 voice generator and a computer in it and
22:33 sensors and then there's special pieces
22:36 like there's special mini figs that when
22:38 you put near it, it's it's aware of the
22:41 things you put around it and it's aware
22:43 of other smart bricks that are near it.
22:45 So it understands 3D space. So So Legos
22:49 Legos now have AI in them.
22:57 It's so cool. Here, let's go. Let's go
22:59 look at We'll go find a I'm sure there's
23:01 a video on it.
23:04 Let's go. Let's Hey. Hey, Bob. Let's go
23:08 to the videape.
23:10 Um, Lego brick
23:14 or Brock. Lego Brock. Yes.
23:18 >> Uh, it would really help if if we shared
23:21 your screen.
23:22 >> Yeah, I know. I was just getting my
23:23 thing up.
23:27 I was just getting my little thinger up.
23:30 He put his thinger right there on the
23:32 screen. Is this it? Smart Bricks at CES.
23:37 What if you could bring your imagination
23:39 to life for real? Play with your
23:41 creations and let them play back with
23:43 you. Well, that's exactly what we've
23:45 built. Wait, really? Introducing the
23:49 LEGO Smart Play System. Oh, boy. A new
23:52 platform made of endlessly interactive
23:54 smart bricks. Smart tags. Seriously? And
23:58 no way. Smart mini figures. Hold on. So,
24:01 you can interact with the little guys
24:03 now. All connected to bring play to life
24:06 like never before.
24:08 Whoa, was that a burp? These things can
24:11 burp.
24:12 >> And react to how you move with dynamic
24:14 sound and lights. Holy snitle, there's
24:17 lights. One brick to turn your Lego
24:20 builds into an opportunity to create,
24:22 explore, and unlock your imagination.
24:28 >> Ducks, this is going to be huge. Huge.
24:31 Come play in the next dimension with the
24:33 Lego Smart Play system.
24:36 >> Okay. Vicky the Crusher of Dreams said
24:38 that this isn't AI. All right, fine. But
24:41 it does have it does have voice
24:43 synthesis technology in the little
24:44 thing. Not an AI. Your bingo card is
24:48 safe.
24:53 That's funny. All right, let's go look
24:55 at another video. Let's see.
25:00 That's just a picture.
25:02 Oh, these are just pictures.
25:05 Let's see.
25:08 >> And here, maybe we'll add a pilot. And
25:10 here, maybe we'll add a pilot.
25:16 >> He sounds like he's having fun. Let's
25:17 see what happens.
25:22 >> I don't think he enjoys that.
25:25 >> But it's not just vehicles. We do tons
25:27 of other types of models and I'm sure
25:29 kids will want to as well. I'm sure you
25:31 all know the uh the Lego duck. Let's see
25:33 what happens when I put exactly the same
25:35 brick into the Lego duck.
25:42 >> Wow.
25:45 Bit of splashing around. And after a
25:47 long day splashing, maybe he needs a
25:48 little sleep.
25:56 I actually don't know whether Lego ducks
25:58 enjoy flying. Should we see if we can
25:59 find out?
26:04 >> I think we'll move quickly on past that
26:05 one. So, you can And here maybe we'll
26:07 add a pilot.
26:10 >> I don't I don't know how it knew the
26:12 duck was a duck.
26:21 minifigure. And you'll see from the
26:23 sound and the color when it detects it.
26:26 But it's not just looking for the
26:27 minifigure. It knows who that minifigure
26:29 is. And actually, it knows where that
26:31 minifigure is. So, as I move the
26:32 minifigure around, you'll see different
26:34 lights and colors depending on where the
26:36 minifigure is compared to the brick.
26:39 >> Digital gods. What happens when I step
26:41 in one with bare feet? It cusses for
26:44 you.
26:47 >> What does this allow us to do? Well, you
26:49 saw it's actually a very simple system,
26:51 a very simple addition, a platform that
26:54 they're adding into the Lego system at
26:56 play. It's the brick, it's the tags, and
26:59 it's the interactive mini figs. But all
27:02 together, what that unlocks is an
27:04 opportunity for interactivity, new
27:07 dimensions of responsiveness,
27:10 opportunity for more social play, and
27:12 for more storytelling.
27:14 >> What happens when they come to life?
27:16 >> Oh, I get it. So, so the smart tags, I
27:19 bet the smart tags are programmable. So,
27:22 you take a smart tag, you hook that to
27:24 your computer, you say, "I'm going to
27:25 put the smart tag on a duck." And so,
27:28 when you stick the brick on a smart tag
27:29 on the duck, it knows it's a duck. I get
27:32 it
27:34 cuz it walk like a duck. Duck can talk
27:36 like a duck. That That was That's close
27:39 to the answer, Silver Fox. But the
27:41 answer is smart tags.
27:43 So, you hear the uh the door unlock.
27:46 >> Lego Smart Play brings a whole new
27:48 dimension to physical play. Lego bricks
27:50 that play back is designed to inspire
27:53 kids imagination and get them playing
27:55 creatively time and time again. We've
27:57 put cutting edge technology, some of it
27:59 never seen before, into Lego Smart Play
28:02 to create a platform for physical
28:04 interactive play, allowing any Lego set
28:07 to come alive in kids hands. Films give
28:10 fans characters and stories to capture
28:12 their imaginations, but toys uh gave
28:15 them the opportunity to take these
28:16 stories home and continue them.
28:22 >> Well, I'm assuming that these things are
28:25 like infinitely hackable.
28:31 So, you could hook those to an Arduino,
28:33 vibe code yourself up some sort of Lego
28:36 action. And actually, you know what you
28:38 could do, Vicki?
28:40 You could, even though they're not AI,
28:42 you could do something where like when
28:44 the when the truck crosses the bridge,
28:47 right?
28:48 That that it fires off some some RFID
28:52 something near your Arduino and then
28:54 that fires off a an AI call. You could
28:59 we're gonna There's going to be an AI
29:01 hack for this before CES is over. All
29:03 right. I'm learning more and more about
29:05 toys when it comes to to deep think AI.
29:11 I can program my own NFC tags.
29:14 Yeah.
29:23 You know what I've seen which is really
29:25 cool and I know I should be working on
29:27 my daily practice but I'm avoiding it.
29:29 So just get off my case.
29:33 I need to take some time for me. This is
29:35 some me time. Okay. Okay.
29:52 What did I want to brag about?
29:59 Oh, notion. I did. Oh, I I did work on
30:01 my my notion today. I actually expanded
30:04 it. I'll I'll tell you about that in a
30:05 sec. Um,
30:10 irregulars when you have a chance, Kyle.
30:12 Oh boy. Here we go.
30:15 Oh, what have you done? What have you
30:17 done, Corey Sandler?
30:21 So proud of Joy Perie. Look at this. Oh,
30:23 this is awesome.
30:28 Here comes Hollywood.
30:34 That's awesome.
30:36 That's very good.
30:39 This is a cool community.
30:41 This is a downright cool community, if
30:45 you know what I'm saying.
30:54 Bring them up here.
31:02 Boom.
31:04 Uh oh, camera's off. Zoom crashed again.
31:12 Hey you kids. It It is If you all don't
31:16 know, it is Wait, I'm gonna make you
31:20 bigger. Wait, did I do that right? No.
31:22 Uh
31:22 >> oh.
31:24 >> Look. See? Look at that. Hello, you two.
31:28 >> Hello. What's shaking?
31:30 >> I'm Kyle. I'm so nervous. I've never
31:32 been live on the internets before.
31:35 >> On the internet. I It's okay, Donnie. I
31:37 do it every night. No one No one's
31:39 watching.
31:41 >> We No one's here. No one's watching.
31:44 They actually They love you. Here's the
31:46 thing. This This is the most generous
31:50 crowd. They They love you. And by the
31:52 way, they love you because of Festivist.
31:54 We had a blast tonight. Um, by the way,
31:56 I know you guys couldn't be there.
31:57 >> Go ahead. Um, but we had, I don't know,
31:59 15 different speakers. Producer Brandon
32:01 said, um, producing producing tonight
32:05 was more stressful than 24 hours of
32:07 Festivus because he didn't talk to him
32:09 backstage. He didn't know who was coming
32:11 up next. He didn't know who was ready.
32:14 >> But, um, but it was so good. It was just
32:17 it was just lots of love and lots of
32:20 people talking about, you know, what
32:22 they talked about, what their insights
32:23 from festivists were, what they're
32:25 thinking about for 2026. And it was just
32:27 it was very very nice. It was a really
32:29 nice way to end it. So, um, so you got
32:32 some love, but I'm glad you're here. How
32:34 you two doing tonight?
32:36 >> We're living the dream, Kyle. You know,
32:38 it's uh very it's very quiet here, which
32:41 is a nice change for our dog.
32:43 >> Oh, because all the kids are gone.
32:45 >> Kids are gone at the moment. We just got
32:47 dogs. We've got dogs here, you know. you
32:49 know, um I don't know about champion,
32:52 but our dogs, they like a lot more
32:55 attention than they get when when we're
32:57 in like AI festivist mode.
32:59 >> That's true. So, we're still
33:04 >> Well, Brandon's dog every night when So,
33:07 when the show ends, Brandon and I start
33:09 talking and Brandon's dog knows that
33:11 when Kyle and Brandon start talking,
33:14 it's time for cheese.
33:17 So, he goes nuts.
33:21 That was awesome.
33:23 >> Oh my god. Oh no. It was It was so good.
33:27 It was It was really nice tonight. It
33:28 was just good to see everyone again.
33:30 >> So, did people did people have a good
33:32 time sharing their sharing their stuff
33:34 at Festivus?
33:36 >> Yeah. And it was it was really cool
33:38 stuff. It was like like Kim Offford just
33:41 talked about how
33:43 watching like
33:46 for especially for the speakers that
33:48 spoke last year or that were there last
33:51 year to hear what they'd accomplished in
33:53 a year. Like one of the things Kim
33:54 Offford said is like we're all just like
33:56 trying to keep up with this AI stuff and
33:59 we kind of forget like what we actually
34:03 have created and what we've actually
34:05 accomplished. And she was just like she
34:07 was blown away by how much people have
34:09 done in a year. And she's like, you
34:11 know, I can't imagine what's going to
34:13 happen next year.
34:14 >> Yeah.
34:15 >> And Sun Sundee spoke and was just
34:17 talking about like her journey, which
34:19 was really cool.
34:20 >> Um Cindy [ __ ] talked um Kelly Bes talked
34:24 and she got up on stage and she was like
34:27 I forget what I talked about at
34:28 Festivus, but anyway,
34:31 which was great.
34:33 >> It was just really nice. It was It was
34:35 really good. It was a love fest,
34:37 >> man. Oh, man. I wish I could put a
34:39 little message in a bottle to know from
34:41 from today till, you know, this day in
34:44 2027.
34:45 >> Yeah. Well, that I mean, there was a lot
34:47 of talk people are really excited about
34:49 next year.
34:50 >> Yeah.
34:52 And I don't know there there's there's
34:55 uh
34:57 there was something an about
35:00 um
35:04 there's just something about it was
35:06 there's something about being in these
35:08 communities really allows people to have
35:11 the space to sort of figure this stuff
35:13 out and like people are kind of leveling
35:16 themselves up and figuring themselves
35:18 out professionally.
35:19 >> Yeah. and they have the space to do it.
35:22 And so
35:24 >> we talked about that tonight. I talked
35:25 about the space you create and like I
35:29 I'll I'll send you the video, but like
35:31 one of the things I said I'll just say
35:32 it to you now because you're here is um
35:37 like I've been in tech most of my life,
35:41 right? And the last three years is the
35:44 first time that I am regularly in
35:46 meetings with more women than men. and
35:49 like your commitment to making sure that
35:51 voices are included like it's created a
35:54 space
35:55 >> that that allows people to just come and
35:58 be and be self-expressed and like you
36:01 know there there's a nice balance of men
36:03 and women and it's just
36:04 >> I've never experienced that in my life
36:06 and it's just been there consistently
36:08 and it's just your commitment to that is
36:10 a huge piece of it I think.
36:13 >> That's pretty awesome. Yeah. Good. Good.
36:18 Yeah. Yeah. More of that.
36:20 >> I know, right?
36:21 >> And the salon. And the salon very I know
36:23 I don't spend as much time in the salon
36:25 as I should, but very clearly also an
36:28 extremely safe community for people to
36:31 express and to ask questions and to, you
36:35 know, ask for help. Um, yeah,
36:37 >> definitely definitely part of what's
36:38 going on there as well. So, I mean that
36:41 that's been made clear. So, that's
36:42 really cool, too. Yeah, we were we were
36:45 talking about that before you guys got
36:46 here that there's a there's a cool thing
36:49 in the in in this community where if Oh,
36:52 because Oh, you didn't hear this. Before
36:53 you guys got here, Joy Perie said some
36:57 um Tony or Oscar nominated filmmaker
37:00 reached out to her and she confirmed
37:01 that it's real. She doesn't know what
37:03 it's about yet, but like like stuff's
37:05 going to happen. But then but then, you
37:07 know, there's also people that are like,
37:08 "Hey, I'm just learning AI." And I and I
37:10 feel like this community celebrates both
37:12 of those people equally, right? That
37:15 someone just getting started is like,
37:16 "Hey, welcome in." Or, you know, an
37:18 Oscar award-winning filmmaker just
37:20 reached out to me. Hey, awesome. Like
37:22 it's just everyone wants everyone to
37:24 win, you know?
37:25 >> Right. Yeah. Like like good news, bad
37:27 news. Good news, bad news is that we're
37:30 hard to impress.
37:32 >> Yeah.
37:33 >> We're also very easy to impress.
37:37 Well, I think I think what it is is it's
37:40 like it's like the people who show up
37:42 and work hard and and and just put the
37:45 time in. It's like when they get
37:47 rewarded, it's like [ __ ] yes. And then
37:49 for someone who's who's new to have the
37:53 guts to not only show up to a community,
37:55 but not just lurk in the background,
37:57 show up in a community and say, "I'm
37:59 here. I'm new. Where do I go? What do I
38:02 do?"
38:02 >> Like that has a similar level of guts
38:05 required, right? Totally. Totally. Um,
38:08 we have an uh we have somebody who's new
38:11 to both of our communities and I'm not
38:13 going to drop drop the name just in
38:15 case, but um what they shared to me was
38:18 um so they just started to get to know
38:21 the AI salon a couple weeks ago from the
38:26 learning lab
38:27 >> and then
38:30 um went to Festivis and you know got to
38:34 know us a little little bit better and
38:37 was um beefing with someone on TikTok
38:41 about AI based on their learnings from
38:45 AI festivist.
38:47 >> Oh, that's awesome.
38:49 That's awesome.
38:51 >> I was like, "Yeah, that's awesome."
38:53 Like,
38:54 >> just I mean, that's the progression we
38:56 would love to see. It's definitely like
38:58 an accelerated version of it, but so so
39:00 good.
39:01 >> It's so good. It's so good. The other
39:03 thing we did, we we did did tell people
39:06 about the uh the the replay the deluxe
39:09 >> replay
39:10 >> deluxe. Don't forget that part.
39:12 >> And I I can I can no longer talk about
39:15 the deluxe replay bundle without adding
39:17 that I think it is dramatically
39:19 underpriced.
39:21 And I've told you this, Aaron. You know
39:23 this. Um 27 bucks. If you want if you
39:27 missed Festivus and you want to see
39:29 these remarkable speakers and what it
39:31 was and be inspired um for 27 bucks, you
39:34 get all the replays, you get
39:35 transcripts, you get Jelly Pod podcast,
39:38 you get things from Notebook LM. There's
39:40 all sorts of stuff in there. It's
39:42 amazing. And you guys put that together.
39:44 So, like kudos to you and the team. You
39:46 and Kate. We should mention Kate in
39:47 here. She's been mentioned Kate.
39:49 >> Mentioned in the comments here a couple
39:51 of times. Uh Lord Digital God says
39:53 Anne's great. Kate's great. And what
39:55 about Donnie? Lord digital gods. Did you
39:57 did you talk about Donnie? He's right
39:58 here.
39:59 >> We're gonna have feelings.
40:02 >> So, um, LDG, first of all, what a
40:06 legend. Um I but but everybody else too.
40:10 The the my favorite thing about the
40:12 replay the deluxe replay bundle
40:16 is that there are like one of my very
40:18 very fancy AI guru friends said that he
40:23 would like to experience um 90%
40:27 of the goodness of AI festivis
40:30 in five minutes or less. Mhm.
40:34 >> I was like, "Okay, can we go with like
40:36 80% of it in like 10 minutes?" I mean,
40:38 like, can you work with me a little bit?
40:41 But that's why I created the personal
40:44 curriculum
40:46 >> is so you can get like an atomized
40:49 version
40:50 >> pellet.
40:51 >> A little tiny a little tiny AI festivist
40:54 pellet.
40:55 >> That's good. Little
40:57 >> you specifically for you.
40:59 >> Specifically for you. Little nuggets of
41:01 knowledge. No,
41:01 >> it takes you to It takes you to the
41:04 timestamp and tells you what video to go
41:06 watch in the replay bundle.
41:08 >> Oh, that's so cool. That's so cool.
41:10 >> So,
41:11 >> it's amazing. Anyway, it's best deal in
41:14 town.
41:15 >> Yeah. I mean, it's made made possible by
41:18 all of the amazing speakers and
41:19 including yourselves that participated
41:22 though.
41:22 >> That is so good.
41:24 >> I mean I mean
41:25 >> fancy the fact Yeah. Just the fact that
41:27 you have all of that all of that stuff
41:29 right there. It's just bling.
41:30 >> Pretty amazing.
41:31 >> Yeah, pretty.
41:32 >> Yeah. Didn't you you were doing
41:34 something tonight when when we were
41:36 doing salon. You were do doing something
41:37 and you texted me an exciting thing. Is
41:39 that something you can share here?
41:41 >> Well, I don't think I can share it. I
41:44 I'm going to share this the story.
41:46 >> Share the story without the person.
41:47 Yeah,
41:48 >> I'm going to share the story without the
41:49 person. So, we have a member of our
41:51 joint community joins an extended
41:53 community just who just a pillar. She's
41:57 a she's a total rock star. somebody that
41:59 we we know and love and admire and are
42:02 so grateful for every day. And she was
42:05 one of these people who was forced to be
42:07 like a secret cyborg in her
42:10 multinational conglomerate multinational
42:13 international
42:14 >> big big
42:15 >> company where
42:16 >> they weren't yet fully adopting
42:19 generative AI. It wasn't being discussed
42:21 not in the even like the workg groupoup
42:23 meetings whatever. So she was like, I
42:26 need to obviously see what's going on
42:28 over here about all this um genai stuff.
42:31 So she
42:33 self-taught initially, got into
42:36 community, right? Became super user and
42:40 um what happened next?
42:42 >> What happened next?
42:43 >> Oh, what happened next was she enrolled
42:46 in the um she leads AI certified AI
42:50 educator program.
42:51 >> Oh. Oh, cool. Awesome.
42:54 got her certification
42:56 as an as an AI educator and her very
42:59 company said multinational conglomerate
43:02 tapped her on the shoulder and said,
43:04 "Oh, hey, everybody who works for this
43:07 company needs to know how to use
43:09 co-pilot. Can you create the
43:11 curriculum?"
43:12 >> Wow.
43:13 >> To teach the entire company how to use
43:15 AI.
43:17 >> Yeah. I it just I I think 2026 is is
43:22 just going to be a year where our
43:23 members just keep getting tapped on the
43:25 shoulder for cool opportunity after cool
43:27 opportunity. We talk about this all the
43:29 time when we talk about generous
43:31 leadership.
43:32 >> What generous leadership looks like in
43:34 the community is you share what you
43:37 know. You reach out to Vicki and you
43:38 say, "I want to do an LOL." Or you you
43:40 reach out to Ann and say, "I want to
43:42 come to a social Saturday and just share
43:44 what I know." It gives you practice
43:46 establishing yourself as an expert. It
43:48 it anchors your learning. But then what
43:51 happens is you start sharing like that
43:54 outside of the community and people in
43:57 your company find out, oh,
44:00 she's actually someone in the company
44:03 that knows about this and she just got
44:05 certified. Oh well, she should teach the
44:07 entire company. It's just it's amazing.
44:10 And the other thing it does is it helps
44:11 all the people within the community. It
44:13 will also help the people in your life.
44:16 Even the ones that are bitching about I
44:18 mean and you you and I deal with this on
44:21 a daily basis. The ones that [ __ ] like
44:23 and I could we not talk about AI
44:25 anymore.
44:28 Listen for dinner. Could we just not
44:30 with the AI?
44:32 Right. Even them.
44:35 Even them it will help because at some
44:37 point they're going to get laid off or
44:38 they're going to realize I got to figure
44:40 this stuff out. And who are they going
44:42 to come to? They're gonna come to you.
44:44 And then you can be rude and say, "Well,
44:45 I I offered that to you six months ago,
44:47 so now
44:48 >> before you could get it for free
44:51 to exactly." Oh, man. Oh, that's
44:55 awesome. Oh, that's so cool. That's so
44:57 cool.
44:57 >> Yeah. It's so good. It's so good. And
44:59 and and I think you know one of the
45:01 points that was made when we were in
45:02 this conversation with her about about
45:04 this new development was just that
45:07 >> like this is the kind of story that is
45:10 the rising tide that lifts all boats.
45:12 >> Yep.
45:13 >> Yeah. It is.
45:15 >> You can't script it. You know what I
45:17 mean? And you go, "Oh, all you need like
45:19 literally we used to talk about this a
45:22 lot more on the show. Just keep coming
45:23 back. Just keep showing up. Just keep
45:25 showing up.
45:26 >> Just keep showing up. keep showing up.
45:29 >> And it's like that kind of role. It's
45:33 not like she was asked to talk about,
45:35 you know, casual Friday training for
45:38 10,000 people, right? This is like AI
45:42 training for a huge organization. That
45:45 means she's going to have visibility
45:46 from the seauite looking at what she's
45:49 up to, right? Looking at the impact. Y
45:52 if you don't think that's going to, you
45:54 know, help her survive a layoff round or
45:57 two or get promoted or whatever it is,
45:59 right?
46:00 >> Exactly.
46:00 >> That's just being in the game. Just
46:02 being in the conversation is so is so
46:04 important. Um the other thing I think we
46:07 should tell the people, I don't know if
46:08 Oh, sorry. You had something else, Ann.
46:10 >> Well, I I have another fun fact for the
46:13 >> Oh, good.
46:14 >> really quickly. Um, so one of our
46:16 friends who had a booth in the virtual
46:19 expo, Rachel Zipsy,
46:21 >> Uhhuh. Oh, yeah.
46:22 >> She shared with us that um, you know,
46:25 because we're like, "Hey, you know, does
46:26 it did did it work? Did you
46:29 >> Yeah. Yeah.
46:30 >> So, they were getting So, so on the
46:32 Million Hearts Movement website, they
46:34 were getting 10 clicks a day. They got
46:36 350 clicks on the days around the event
46:40 where they were a a vendor
46:42 >> and oh I mean they're still in there
46:44 right now. So they got 350 clicks a day
46:47 each of those days. 30% of those
46:50 converted to some kind of engagement and
46:52 they have three new clients.
46:54 >> Wow.
46:56 AI festivist works.
46:59 >> It works people. AI festival for the
47:02 rest of us.
47:06 >> Um, the other thing the good people
47:08 should know is that tomorrow, tomorrow,
47:11 Wednesday, at 3 p.m. Pacific, 400 pm my
47:15 time, Mountain time, Ann and I are going
47:17 to be interviewing Kim Offford for the
47:19 AI Readiness Project podcast. So, Kim
47:22 Kim spoke tonight. Um, she's just she's
47:26 just in such a you know what's cool
47:27 about her is I feel like she's in
47:30 >> she's in such a place of power and
47:32 confidence. Like again there was a thing
47:34 last year where like everyone was like I
47:36 think I'm doing this AI thing. It was
47:38 like very like
47:40 >> and this year it's just like I just feel
47:42 like everyone's sort of centered
47:44 >> and they're like you know what I'm doing
47:46 it. She goes I did this other festival
47:48 and then I re realized Chicago needs a
47:50 film festival so I just started one.
47:53 It's like,
47:54 >> damn, it's so good.
47:56 >> Yeah.
47:56 >> So, anyway, so come come uh we'll talk
47:58 to Kim tomorrow. I'm really excited
48:00 about that.
48:00 >> I am, too. That's awesome. Yeah. Yeah.
48:04 She's a good one.
48:05 >> She's a really good one. Really good.
48:07 >> She's a gem.
48:09 >> She's a gem.
48:10 >> She's a gem.
48:11 >> Well, you're a gem. And you too, Ann.
48:14 >> Thanks. Thanks. Thanks.
48:16 >> You're a gem, too.
48:17 >> A gem, too, Kyle.
48:19 >> He's a gem. We're all gems.
48:21 >> We're all gems, man. Um,
48:22 >> it's so good to see you.
48:24 >> Yeah, good to see you, too. Good to see
48:26 all the nice people. And I I might see
48:28 you on the other side of the screen for
48:30 a couple minutes.
48:31 >> Feel free to feel free to hang out. I
48:33 So, so I you know that I've converted my
48:36 this AI learning lab thing into my part
48:39 of my daily practice now. So, like I do
48:40 work here, right? I just show up and do
48:42 work.
48:43 >> Okay.
48:43 >> Except tonight I'm like I don't want to.
48:46 I'm just not. So, so I'm glad you
48:49 >> goof off
48:50 >> because it it further it further uh
48:52 enabled my goofing off.
48:54 >> There we go. There we go.
48:57 >> All right. Cool. Great.
48:58 >> All right, everybody.
48:59 >> Thanks.
49:02 >> Oh, that's so awesome. That's so
49:03 awesome. Yeah, that was that was that
49:05 was really fun tonight. Um Okay. What
49:08 were we talking about?
49:10 We were talking about
49:14 stuff on Xh.
49:19 Oh, we talked about possible
49:21 emergent.sh. I went and looked at it.
49:23 You've got to pay for it to play with
49:24 it. So, I think
49:27 so.
49:29 Love your deep dive and video of your
49:32 1%. Very courageous. Oh, thank you very
49:35 much. I appreciate that. Producer
49:36 Brandon, what's up? There is a limited
49:39 free tier uh similar to lovable where
49:42 you do get free 10 10 free prompts a day
49:44 if you were
49:44 >> Oh, I see. All right.
49:47 >> So, app.emergent.sh.
49:51 Well, I'm going to do the same thing I
49:52 always do.
49:55 >> Share the wrong tab.
49:57 >> Yeah. Yeah, exactly. I'm going to do the
49:59 same thing I always do, which is I'm
50:01 going to make an Asteroids clone. We'll
50:02 see if it's any good. I will tell you
50:04 right now. It's using claw 4.5 sonnet,
50:07 which that's probably we should use
50:09 opus.
50:11 Although opus is pro I bet I'm not
50:13 allowed to use opus. We we'll find out.
50:15 Um I want you to make me This is
50:19 emergent.sh.
50:21 I want you to make me
50:24 a
50:26 an authentic
50:30 Asteroids
50:32 clone
50:34 video game
50:38 complete with
50:41 70s
50:44 phosphorus.
50:46 phosphorus
50:50 70s phosphorus uh CRT
50:54 stylings
50:57 and authentic
51:01 uh sounds
51:05 physics
51:07 and awesome
51:13 game play. I assume this is going to do
51:16 this pretty good
51:18 because when I did this with Claude Opus
51:21 when it first came out, it was pretty
51:23 damn good. Let's see if I can use it.
51:25 Setting up safe environment,
51:27 initializing cloud, provisioning
51:30 resources,
51:33 configuring environment, starting the
51:35 agent. By the way, this is
51:40 what I'm doing right now is sort of play
51:43 first and then it's sort of avoid your
51:48 daily practice.
51:52 So, I am I am both. Look, I'm not just a
51:55 binary human being. It's not one or the
51:58 other with me. I can be having fun and
52:01 avoid
52:03 doing my daily practice. Um, we are
52:06 having a tight tonight show vibe
52:08 tonight.
52:14 Oh man.
52:17 All right. Let's see. Tik Tok pin. I got
52:21 that.
52:27 All right. What's What's this doing? App
52:29 preview processing. Next step.
52:35 Your thought has been logged. Can I see?
52:40 I mean, actually, one of the things I
52:42 like about this is that it's
52:46 um it doesn't have a lot of the
52:50 like I can't look at it writing code,
52:54 which if I'm if I'm a coder is going to
52:57 piss me off. But as someone who doesn't
52:58 really care as much about code and
53:02 looking at it, I don't mind not having
53:05 code.
53:08 H
53:10 fascinating
53:14 created five files. What did it create?
53:18 GameJS, sound engine.JS, ship.js,
53:22 Asteroid.js,
53:23 and mock.js.
53:27 There's some code.
53:32 If you're new here and you haven't
53:34 watched a computer write code for you,
53:37 look, computer wrote code for me. And
53:41 then you might the next next logical
53:43 question might be, hey, what code is
53:45 that, Kyle?
53:47 It's a great question there, Bob. Uh, I
53:52 don't know.
54:00 JS usually stands for JavaScript. Oh
54:02 yeah, that what Brandon said.
54:06 The whole point is it doesn't matter.
54:09 Are you using the $25 plan or the $200
54:11 plan? I'm using the free plan right now.
54:15 I think it inferred it and ran with it.
54:17 What's going on? Is this Is this still
54:19 going or did I run out of credits? It's
54:21 possible I ran out of credits. No, it's
54:23 still going. Building something
54:25 incredible.
54:28 You know what's actually really funny
54:29 about this? Created five files. Created
54:32 five more files.
54:34 Um,
54:36 here we go. Here's asteroids.
54:38 Press space to start. Okay, here we go.
54:42 Let's go. Open in new tab.
54:46 Oh, that's pretty good. I like the I
54:48 like the graphics here. Wait. Oh, got to
54:50 share that tab. Okay. Arrow keys to
54:53 move. Space to fire.
54:56 Down or S for hyperspace.
55:00 This looks good.
55:17 No. No UFO.
55:30 Ah. Oh, that was good. You see this
55:33 people? Okay. So, there's no there's no
55:35 flames coming out of the ass end of the
55:37 ship. The firing's too fast.
55:50 Damn it.
55:59 Lovable better control.
56:02 Okay. All right. So, let's go back.
56:06 Let's go back. I am now I am now
56:09 successfully fully committed to not
56:12 doing my practice tonight.
56:16 Okay, let's see. Um, space ship
56:20 has no thrust fire. There are no UFOs.
56:29 The
56:32 the firing repeat rate
56:37 is a little fast.
56:43 And
56:45 it could use a little
56:49 extra
56:52 visual
56:55 magic. Okay, beautiful. Let's do that.
56:59 Hang on. I got to do physical dexterity
57:01 test on Tik Tok.
57:06 Better prompts, Kyle. Well, listen. Part
57:09 of So, here's the thing. Emma, Mr. Mr.
57:13 AI creating. Here's the deal, Mr. AI
57:15 Creating. My job is not to be great at
57:19 writing prompts. Here's what I've
57:20 learned about myself in this channel. My
57:23 job is to do the the the low-level [ __ ]
57:28 prompting that most people are going to
57:30 do. Like, one of the ways we can figure
57:33 out if tools are getting better is if I
57:36 give it a shitty prompt, can it figure
57:39 some stuff out from that shitty prompt?
57:42 I have in here gone off and done highly
57:45 structured prompts and things like that.
57:47 You can absolutely do that and you'll
57:48 get better results. But a that takes a
57:52 while and b
57:54 I I like seeing if like that was a fully
57:57 functional Asteroids game with a shitty
57:59 prompt and now we should get like a
58:01 decent 2.0 with a follow-on shitty
58:04 prompt. Oh, it's Gareth.
58:07 That's Gareth trolling me. [ __ ]
58:09 Gareth.
58:13 That's the best. Oh my god. All right.
58:17 So, if it can add an irid iridescent
58:20 bubble in the background that floats
58:22 slowly and bumps against the edges. Oh,
58:24 see if it can add. Oh, I'm sure it can.
58:28 We'll just We'll just keep doing things
58:30 here until until um
58:34 we'll just keep doing things here until
58:36 we run out of credits, which is probably
58:37 going to be like one more prompt from
58:39 here.
58:40 because I'm using I'm I'm using uh Opus
58:43 instead of Sonnet
58:46 Gravity Jump. I tried the asteroid thing
58:48 back in December and it didn't work for
58:49 me. Yeah, the the the
58:52 in the past six months
58:58 in the past six months all of the
59:00 technology companies except Meta,
59:04 I mean what is Meta doing? They lost Yan
59:06 Lun. Did did you hear why they lost Yan
59:09 Lun?
59:11 He's the guy that [ __ ] he basically,
59:14 you know, is the is one of the
59:16 godfathers of why any of this technology
59:20 [ __ ] exists.
59:22 And they and they hired a 22year-old
59:24 engineer for $200 million a year. And
59:27 they said to Yan Lun, "You report to him
59:30 now.
59:37 Yan was like, "Yeah,
59:40 no, I'm good. Peace out."
59:47 Meta release Sam audio. Okay, cool.
59:50 That's worth looking at. I also think
59:51 they're going to retire Llama. I think I
59:54 think they just don't have a large
59:55 language model, which is wild.
59:58 Lovable, better for controlled front-end
1:00:00 work.
1:00:02 Is this still going? Yeah, it's still
1:00:04 doing its thing.
1:00:07 Oh. Oh, look what this did.
1:00:10 This is cool.
1:00:17 Look what it says. The the Let me check
1:00:19 the front end logs and take a new
1:00:21 screenshot. So, it's
1:00:25 I'll fix those issues. It's finding bugs
1:00:29 and it's taking screenshots of of itself
1:00:32 playing the game.
1:00:34 That's pretty slick. I haven't I haven't
1:00:36 seen a vibe coding tool do that on its
1:00:38 own. Although I I bet uh Gen Spark and
1:00:42 Manis probably do that, but I haven't
1:00:45 seen like a standalone vibe coding tool
1:00:47 like this do that. That's pretty slick.
1:00:55 Well, two 200 million. Well, nah. Yeah,
1:00:58 they No, it was that 22 year old got a
1:01:01 bonus of 200 million and then I think
1:01:04 it's a hundred million dollar a year
1:01:05 salary
1:01:07 at 22.
1:01:13 Listen, I'm sure he's very smart. I'm
1:01:16 sure he's very smart. You know what you
1:01:19 could do with $200 million?
1:01:24 You could you could invest 190 million
1:01:28 on a startup
1:01:30 and go spend $10 million [ __ ] around
1:01:32 for a year.
1:01:38 Oh my god. Anti-gravity does that, Kyle?
1:01:41 Oh, cool. I haven't I I I Here's my
1:01:44 problem with anti-gravity. I wanted to
1:01:47 change the background color and I made
1:01:50 the mistake of going to the settings
1:01:53 tab. And when I saw that there were 40
1:01:57 or 50 pages of settings,
1:02:01 I was like, I'm good. I don't I that's
1:02:04 that's a whole other level of vibe
1:02:07 coding than I'm willing to to to play
1:02:11 with. Okay, let's see. Excellent. The
1:02:14 game is working great now. I can see
1:02:16 score increasing
1:02:18 asteroid splitting
1:02:21 beautiful phosphor trails medium
1:02:23 asteroids enhanced CRT effects.
1:02:28 Okay. Is it done? Agent is waiting. Oh,
1:02:32 is it waiting for me?
1:02:37 Visible. Okay. This is a front end only
1:02:40 asteroids clone using mock data for high
1:02:42 scores. I've tested the best of my
1:02:46 capabilities. Would you like to proceed
1:02:48 with the back-end development of a
1:02:49 persistent high score to MongoDB?
1:02:54 Uh, I'm just going to say um
1:02:57 um local
1:03:01 um temp scoring
1:03:04 is fine.
1:03:08 I just want to play
1:03:12 1.67. 67 free credit remaining. I think
1:03:15 I'm done.
1:03:20 Emergent offers deeper agent-driven full
1:03:23 stack automation with multi-agent
1:03:25 orchestration for speed. Good lord.
1:03:29 Emergent offers deeper. Wait, put that
1:03:32 back up, Brandon. Deeper.
1:03:35 Okay, deeper is a word we understand.
1:03:38 Agent driven. Nobody knows what that
1:03:41 means. Full stack. Nobody knows what
1:03:44 that means. Automation. One person knows
1:03:46 what that means. With multi- aent
1:03:48 orchestration
1:03:50 for speed.
1:03:53 Good lord.
1:03:57 Deploy. Wait. Go play. Go. Press play to
1:04:01 start. Wait. Preview. Preview.
1:04:06 Okay. Let's go out.
1:04:09 All right. Let's see if this is better.
1:04:19 Ah. Oh, look. It's got a CRT uh scan
1:04:23 line going down it. That's pretty cool.
1:04:31 >> Ah, jerk.
1:04:38 >> So, I I know what most of those words
1:04:40 mean.
1:04:42 I know what the words mean, but it's
1:04:44 just it's just like nonsensical word
1:04:47 soup.
1:04:48 >> Yeah. Well, I I think what get out is it
1:04:52 puts this in the same classification of
1:04:54 wind surf or the anti-gravities opposed
1:04:58 to lovable, which is more of a
1:05:01 >> front end. You're just making something
1:05:03 pretty that is getting more and more
1:05:05 capable of being behind the scenes
1:05:08 stronger. like they have payments now,
1:05:09 they have lovable cloud. This does all
1:05:12 that. So, if you need a bunch of smart
1:05:15 agents that are working together but
1:05:16 don't want to go through 50 pages worth
1:05:18 of settings in anti-gravity, this is
1:05:20 probably your jam.
1:05:22 >> Yeah. Yeah. Yeah. Yeah. If this is that
1:05:24 powerful and it's this this is in the
1:05:26 neighborhood of love easy.
1:05:29 Um,
1:05:33 but all I want to do is play video
1:05:34 games. So
1:05:37 from my childhood.
1:05:45 Ah. Oh, that was good. Wait, where am I?
1:05:48 [ __ ]
1:05:53 Damn it.
1:06:13 I'm just
1:06:15 one of the things that's given me great
1:06:17 joy right now is I I am no longer alive.
1:06:21 I'm just playing I'm just playing
1:06:23 Asteroids.
1:06:29 Don't tell Liz. Don't tell Liz. I will I
1:06:32 will confess on Thursday at the at the
1:06:35 practice lab that I was I was a bad boy
1:06:38 and didn't didn't do my practice on what
1:06:41 is tonight? Tuesday night.
1:06:46 Oh my god. All right, that was good.
1:06:50 Um there you go. Uh I would say that
1:06:54 emergent is probably worth experimenting
1:06:56 with. There's my There's my uh my two
1:07:00 cents.
1:07:03 None of those types of games is astray
1:07:05 like
1:07:07 asteroids come out after asteroids.
1:07:09 Wait, none of those games
1:07:12 it's act it's actually like asteroids
1:07:14 come out after asteroids. Oh, I'm
1:07:16 telling Liz.
1:07:19 Oh, man. You want to talk about AI life
1:07:21 hacks tomorrow?
1:07:22 >> Sure. Uh we're having a whole uh
1:07:25 conversation in the comments about a
1:07:29 game that is similar in nature where
1:07:31 it's asteroids but there's two ships and
1:07:34 we were just trying to identify those in
1:07:35 the comments. But
1:07:37 >> oh
1:07:37 >> tomorrow
1:07:39 we have AI life hacks and AI life hacks
1:07:42 is awesome. We've got a bunch of new
1:07:43 people coming with a bunch of new hacks
1:07:45 presuming but basically this is the
1:07:47 opportunity to learn how to use AI in
1:07:50 your everyday life. For example,
1:07:53 our dryer uh [ __ ] the bed and it says,
1:07:56 "Okay, we're done. It's not going to
1:07:58 work anymore." And we thought, "Okay,
1:08:00 we'll just get it fixed." And the drier
1:08:02 tech Well, first I asked Chet PT. I'm
1:08:04 like, "So, how do I fix this?" And says,
1:08:06 "You're going to need to call a
1:08:07 technician." So, I called a technician.
1:08:11 And uh they came out and they said, "Oh,
1:08:12 yeah. This is uh this is not looking
1:08:15 good." So, now we have a choice. Do we
1:08:17 put good money after bad to fix an old
1:08:20 appliance or do we go out and buy a new
1:08:23 one? And if we buy a new one,
1:08:25 >> you know, you've got a hundred different
1:08:26 options. So, while this live has been
1:08:28 going on, I've had an agent in chat GPT
1:08:33 in the background doing product research
1:08:35 on washers and dryers and repair versus
1:08:38 replace. And so after we get off the
1:08:40 live and after I get the dog some
1:08:42 cheese, we're gonna take a look at that
1:08:45 and figure out what our next steps are
1:08:47 going to be. So that
1:08:49 >> come tomorrow and join us.
1:08:51 >> That's awesome. Beautiful. That's a
1:08:53 great one. I actually I had a it was it
1:08:56 was our washer that broke.
1:09:00 Like one of the hoses broke, but then
1:09:02 some other thing broke.
1:09:05 And it's like a really old whirlpool.
1:09:07 like really old.
1:09:10 And then chat GPT told me you're you're
1:09:12 missing this part or this part's broken.
1:09:16 And then
1:09:18 gave me the part number.
1:09:21 I think I actually searched for
1:09:25 an appliance repair store.
1:09:28 I called them. They had the part. I went
1:09:31 down, bought the part. The guy goes,
1:09:33 "Oh, you got that whirlpool? That'll
1:09:35 last forever.
1:09:37 He goes, "That's good. They don't make
1:09:38 them like that anymore."
1:09:42 And I fixed the part and I fixed the the
1:09:44 washer. I felt very manly. It was Chad
1:09:47 GPT.
1:09:49 Helps me feel Listen, listen. Are you
1:09:53 feeling a little non-manly in your life?
1:09:57 Haven't fixed a washer lately? Try Chat
1:10:00 GPT.
1:10:03 It'll seem like you paid attention to
1:10:05 your stepdad when you were a kid.
1:10:10 Oh, good lord. All right, good people.
1:10:13 I'm get out of here. Oh, you want to
1:10:15 see? No, it doesn't. It's not all that
1:10:16 interesting to look at. I'll show you
1:10:19 tomorrow when I actually get back to my
1:10:21 practice.
1:10:22 I'll show you what I did. But, you know,
1:10:25 in notion, I've been working on setting
1:10:26 up my project database, right? And then
1:10:29 my project to-dos. And then I've had
1:10:31 this idea. I've got this idea stuck in
1:10:34 my head. And and one of the things with
1:10:36 me and ideas is most of the times ideas
1:10:39 come in, they get really bright and then
1:10:41 they burn out and they go away.
1:10:43 Occasionally there's an idea that comes
1:10:45 in my head, it burns bright and it just
1:10:47 keeps burning. And so one of those is
1:10:51 creating a project management tool that
1:10:55 is based on
1:10:57 the people of the project rather than
1:11:00 the tasks of the project.
1:11:03 That what hit me was every task of a
1:11:06 project for the most part
1:11:09 you're doing because some person that is
1:11:11 critical to that project needs
1:11:14 something.
1:11:15 And I thought, what if I have a rel like
1:11:17 what if I build a thing that reminds me
1:11:21 that in order for that project to be
1:11:23 successful, producer Brandon needs to
1:11:25 have eh rather than just you need to do
1:11:28 eh and give it to producer Brandon like
1:11:31 make it about producer Brandon. So
1:11:32 that's my idea.
1:11:34 So today I went into notion.
1:11:37 I did two things. I downloaded it to my
1:11:40 work computer which I hadn't done and
1:11:43 sure enough I logged in and it logged
1:11:46 into my account and everything was
1:11:48 there. So that was that was a victory.
1:11:50 And then I said to Harry, my AI
1:11:52 assistant in notion, I said, I've got
1:11:55 this idea for a people
1:11:59 a people centric thing. And I said, what
1:12:01 do you recommend from a database
1:12:03 standpoint I should set up because I
1:12:05 wanted people, but I also wanted to be
1:12:07 able to associate those people to a
1:12:09 project. And so it actually set up two
1:12:12 additional databases, a people database
1:12:15 and then the people project database
1:12:18 where you actually assign a person and
1:12:20 connect them to a project. And I and
1:12:23 there's a good reason why they're
1:12:25 separate because you might have one
1:12:26 person in the person database that's
1:12:28 assigned to three different product
1:12:30 projects. And so that database schema is
1:12:33 set up now and I added a bunch of people
1:12:35 to it and it it worked and they've all
1:12:36 got labels and I'm really excited about
1:12:38 it. So,
1:12:40 this is the old Kyle I remember
1:12:42 pre-practice.
1:12:44 You need to screw a screw practice day
1:12:46 every week. That's not a bad idea.
1:12:50 You're you're 1% of the way to
1:12:52 Salesforce. I'll tell you what, if I'm
1:12:54 any percentage of the way to Salesforce,
1:12:56 I'm going to flush it down the toilet.
1:12:58 That is the biggest piece of garbage
1:12:59 software I've ever used.
1:13:05 All right. Um, Reggie want to do an
1:13:08 emerging LOL. There you go. Vickiy's
1:13:11 Vickiy's knocking down those LOL's.
1:13:13 They're coming hot and heavy now. You
1:13:14 got to calm. Everybody get ready to
1:13:16 learn. There's some There's some
1:13:18 learning coming. All right. Um,
1:13:21 by the way, the banana banana is back in
1:13:24 nano banana. Good. I some corporate
1:13:27 weenie got rid of the banana.
1:13:30 Um, beautiful. All right, you guys are
1:13:33 working out. LOL's.
1:13:35 I want to see that. Kyle, you want to
1:13:36 see what me to say? Screw screw having
1:13:39 this be a practice one day a week. We
1:13:41 can do that.
1:13:43 Oh, I like this. Tell me more. I have a
1:13:46 bunch of Kyle Reggie, I watched you on
1:13:49 YouTube and it was helpful. Thanks for
1:13:51 sharing that.
1:13:53 Cheat day. All right, I think we might
1:13:56 have a cheat day.
1:14:00 The question is, do we schedule the
1:14:02 cheat day or do I just give into the
1:14:05 fear on a cheat day? And I only get one
1:14:08 a week. So, I could blow it on Monday or
1:14:11 I could save it for Friday.
1:14:13 If I'm having a particularly intentional
1:14:15 week, maybe I don't do a cheat day the
1:14:18 whole week. I don't know. These are
1:14:20 good. These are good questions. Organic
1:14:22 cheat day. I think you're right, Corey.
1:14:23 I think if I book it, then I'll plan for
1:14:26 Yeah. No, I think Okay, here's the rule.
1:14:30 Four days a week, I'm doing a daily
1:14:32 practice. One day of the week, I can
1:14:35 choose to do a cheat day.
1:14:39 I can live with that. I could also
1:14:41 choose to not do a cheat day. I could
1:14:43 just say, you know what? This week, I'm
1:14:45 working
1:14:46 my ass off going in. There might be
1:14:50 tears. There might be rage.
1:14:53 It It will likely be boring.
1:15:00 Oh, good. Producer Brandon. Oh, good. I
1:15:03 thought we were about to have some
1:15:04 structure. No, no, no.
1:15:08 We do not have structure here. All
1:15:10 right. This is good. I like this. I'm
1:15:11 happy. I'm happy. Just do it, Kyle. All
1:15:14 right. Beautiful. Love it.
1:15:17 All right. I'm getting out of here.
1:15:18 Y'all were fun tonight. It was cool. Ann
1:15:21 and Donnie joined us. That was really
1:15:22 sweet. Um
1:15:28 Tomorrow's Wednesday. Nothing special
1:15:30 going on. Uh, yes, tomorrow come to the
1:15:33 um AI Readiness Project podcast with Kim
1:15:36 Offford. If you don't know Kim Offford,
1:15:37 she's really great. She'll probably show
1:15:39 some films, I'm hoping, and then we'll
1:15:41 talk to her about what she's up to. All
1:15:43 right.
1:15:45 So, beautiful. I'm gonna get out of
1:15:47 here. Oh, we could Did you know we could
1:15:49 set an outro video here in StreamYard
1:15:52 there, producer Brandon? We should. We
1:15:54 should I should make an outro video
1:15:56 that's like Frank.
1:16:02 All right, everybody. See you later.