AI Learning Lab

Dec 27, 2023 - Create Custom GPTs for Nonprofits in 24 Hours

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Video2024-01-021:34:496 views

Description

In this lively TikTok session, Kyle Shannon navigates the intersection of artificial intelligence, creativity, and community engagement, all while managing his own recovery from illness. He passionately discusses the implications of AI tools, the current legal battles involving major players like OpenAI and the New York Times, and the evolving landscape of technology that empowers individuals to create unique solutions. Key themes include the democratization of AI, the importance of understanding its limitations, and the potential for innovative applications, particularly in the nonprofit sector. Viewers are encouraged to participate in the upcoming "GPT for Good" challenge, fostering a sense of community and collaboration around AI development. For more insights and to follow along with Kyle's journey, check out his TikTok channel: https://tiktok.com/@aiLearningLab. #AI #ArtificialIntelligence #Technology #CommunityEngagement #Creativity #Innovation #ChatGPT #GPTforGood Chapters 00:00:00 Intro Music 00:00:29 Song Performance 00:01:37 AI Learning Lab Welcome 00:02:00 COVID-19 Health Update 00:02:21 Audience Interaction 00:03:00 Sharing Live Stream 00:04:11 Paper Cut Art Discussion 00:05:05 Custom GPTs and Billing Issues 00:06:43 Chat GPT Versions and Issues 00:08:10 Generative AI and Youth Engagement 00:09:02 New York Times vs. OpenAI Lawsuit 00:10:14 Legal and Ethical Implications 00:12:32 Potential AI Retraining 00:13:50 AI's Societal Impact 00:14:58 GPT-4 Valuation and Future 00:15:59 Creating GPTs for Nonprofits Event 00:17:47 Custom Instructions Demo 00:20:06 GPTs for Good Challenge Details 00:22:42 RSVP and Event Participation 00:24:45 Custom Instructions Practical Example 00:26:20 Chat GPT Response Customization 00:28:06 Photosynthesis Explanation 00:30:45 Custom Instructions for Personality 00:33:34 Chat GPT 3.5 vs. 4 Features 00:38:02 Chat GPT Mobile App Features 00:42:06 Voice Customization 00:46:00 Language Translation Demo 00:48:10 Dramatic Chat GPT Customization 00:52:04 AI Skepticism and Conversion 00:55:02 Live Music and AI's Future 00:57:00 AI's Role in Cybersecurity 00:58:45 Making Money with AI 01:01:05 AI Hallucinations and Accuracy 01:04:00 Legal Case: Lawyer's Misuse of Chat GPT 01:07:03 Importance of Playing with AI 01:08:50 AI Limitations and Expectations 01:12:00 Democratization of AI Power 01:15:50 Potential Risks and Benefits of AI 01:17:00 Other AI Tools Overview 01:22:02 Image Creation Tools 01:24:42 Video Creation Tools 01:27:20 Avatar Creation and Corporate Videos 01:29:00 Show and Tell Community Highlights 01:32:01 AI's Impact on Software Engineering 01:33:00 Wrapping Up and Future Plans

Chapters

Transcript

0:01 [Music]
0:25 this place I can rest my whole
0:28 [Music]
0:29 head
0:32 together
0:37 silence and is this place where the
0:40 feelings AR
0:44 dead from an over exposure to
0:49 violence is this the place I can slowly
0:53 face the only one I truly can know you
0:58 singing These are tear tears from a long
1:01 time
1:02 ago got these tears from a long time
1:07 ago 30 years or so these are tears from
1:13 a long
1:14 [Music]
1:23 time oh darling Oh Darling you say unto
1:29 me
1:31 where have you been all my
1:34 lifetime hey
1:37 [Music]
1:42 everybody tune that guitar why don't you
1:45 tune that sometime oh I
1:49 might all right champy I think you've
1:52 had enough I think you've had enough fun
1:54 for one
1:55 night hey what's
1:58 shaking think I'm over the the worst of
2:00 my uh my bout with the vid we'll see I'm
2:04 still uh I'm still with whatever the
2:09 [ __ ] that
2:12 is and a little bit of a dry cough but I
2:14 don't feel as bad as I did last night
2:18 so welcome everybody to the AI learning
2:21 lab oh it's a nice light light night so
2:23 far 12 folks in
2:26 here I'm all sick now too don't don't
2:30 copy me don't copy me don't do it Lun
2:33 stick oh I hope you don't have this it's
2:35 a beast that's not that bad
2:39 but I haven't been sick in a while so
2:41 you know you haven't been sick in a
2:43 while and then you are then it's like
2:45 that's
2:48 awful but I'm feeling better all right
2:51 so I either there's more people in here
2:53 and the counters [ __ ] up or there's
2:55 only 12 or 13 people in here so there's
2:57 only 12 or 13 people in here do me a
3:00 favor and share this see if we can get
3:02 Tik Tok to pretend like they like
3:04 us uh lovely uh paper cut image from
3:11 Danielle over here very nice very
3:15 nice it used to be if you wanted to make
3:18 a lovely paper cut image like that you
3:20 actually had to cut paper and then take
3:22 a photograph of
3:25 it crafting just got a lot
3:29 easier
3:34 H dragonfly Alchemy has shared the live
3:36 with more than 10 friends dragonfly
3:38 Alchemy knows how to do it she knows how
3:41 to party right hey it's a Wednesday
3:44 night after Christmas you know what you
3:45 should do go go learn about some AI
3:51 [ __ ] I bet her friends are happy with
3:53 her am I late no you're right on
3:57 time Amelio's wife on time two nights in
4:00 a row I think this may be a
4:03 record
4:06 oh
4:11 fyp for your page for you page I don't
4:15 know what fyp
4:17 means steo hey hey good to see
4:22 you Sher D shared with more than 10
4:24 friends thank you thank you thank you
4:26 how you feeling buddy I'm feeling better
4:28 than last night but still cra happy you
4:31 know it's definitely I think I'm I'm
4:34 definitely over the hump but uh but
4:37 still
4:38 poopy but you
4:40 know doing okay doing all right all
4:45 right all right all
4:52 right good to see you Carl hope you're
4:54 feeling better it's Kyle but that's okay
4:56 I'll take Carl I'll take you can call me
4:59 Bucky
5:01 [Laughter]
5:05 uh Edson good to see
5:08 you Silver Fox doing
5:11 okay I am doing all right I have a
5:14 little bit of like congestion headache
5:17 so it's not really a headache it's just
5:19 like you know when your head's full and
5:21 you're like is this a headache it's
5:24 right before a headache that's where I
5:26 am right now so I'll get going here
5:28 things will clear out as I talk and
5:30 Babble or it'll get worse and then I'll
5:32 just I'll just go away if it gets worse
5:35 but it's uh it's okay it's good right
5:37 now don't really have a cough which is
5:41 good
5:45 uh I'm sorry to anyone I've shared this
5:48 with that's already in
5:50 here so congested oh that sucks Luna
5:53 [Laughter]
5:56 sck let's see Danielle changed the
5:59 Daniel posted instructions for changing
6:01 the Creator name and custom gpts but I
6:04 can't even do step one all right forever
6:07 hooked
6:09 uh I don't
6:11 know I don't think I'm having that issue
6:14 but it's the weird thing about chat GPT
6:17 is is when you have an
6:22 issue it's sometimes because you have a
6:24 different version of chat GPT than other
6:26 people
6:27 do and I don't there's no at all clear
6:30 way to deal with
6:38 that Builder
6:43 profile yeah it says name is populated
6:46 from your billing Pro billing
6:51 details so the billing details are
6:57 where my plan right
7:00 manage my
7:12 subscription yeah maybe maybe go to
7:14 manage your subscription but I would
7:16 think if you change your name and manage
7:18 my subscription that might [ __ ] up your
7:19 credit card payment I don't know I don't
7:22 know the I don't know the exact
7:25 issue and I'm not having the issue so I
7:28 haven't had to solve it so
7:31 I may be useless
7:34 here all right well we'll come back to
7:37 that all right that's not true cuz my
7:40 billing was my real name I tried
7:42 everything oh
7:44 okay random thoughts by TK I yelled I'm
7:47 not late for my show grandson says oh no
7:50 they
7:57 know hey man
8:00 it'll be one of those things you know
8:03 remember when Grandma was crazy with all
8:04 that AI stuff she was right we should
8:06 have paid attention to
8:10 her there going to be a lot of that
8:11 going on it's just I I just
8:16 I'm I find it crazy
8:19 that we're in this weird place where and
8:23 and it it could absolutely be the AI
8:25 learning lab bubble where just cuz I'm
8:28 an old fart and a lot of the regulars
8:30 are old farts we think it's just old
8:31 farts
8:33 but I there's a lot of young people not
8:36 paying attention to this AI stuff and
8:38 it's bizarre to me it's bizarre because
8:40 you'd think they would be the ones
8:42 jumping on it figuring out how to [ __ ]
8:44 up the establishment and yet you know
8:47 the Gen xers you know are at least
8:50 players in the establishment they're the
8:51 ones going we got to deal with this [ __ ]
8:53 news trending today about New York Times
8:55 suing opening on Microsoft over
8:57 copyright yeah Christopher Ramsey I call
8:59 called that one about a month ago
9:02 because um Google had cut $100 million
9:06 with $100 million deal with the New York
9:09 Times about a month a that's probably
9:11 more six weeks ago
9:13 now and open AI was apparently in
9:17 negotiations with the New York Times and
9:19 those talks apparently went South
9:23 so Google cuts a $100 million deal with
9:26 the New York Times New York Times sues
9:28 open Ai and mic moft
9:31 um it's a big
9:34 deal
9:37 um it's going to be really interesting
9:39 to see how the stuff plays out in court
9:41 like I said I just for for I don't think
9:44 it affects any of us short
9:46 term
9:50 um and I can't imagine a court forcing
9:53 open AI to essentially shut down their
9:58 entire company
10:00 to to retrain you know you know minus
10:04 the New York Times which they wouldn't
10:06 do I I just so I don't know I mean it's
10:08 this this is this is Big Boy politics
10:11 and big boy legal battles and big boy
10:14 deals being cut
10:17 so I don't
10:19 know and big girl that was
10:23 sexist this is this is uh big boy and
10:27 girl pant
10:28 time
10:30 but yeah it's going to be really
10:31 interesting to see yeah they sued them
10:33 for data scraping yeah I know I know I
10:37 again I go back
10:38 to I go back to if if if you if you
10:44 understand how embeddings work and how
10:45 large language models work they're not
10:49 none of the New York Times
10:52 articles exist as they were they are
10:54 just words in semantic mathematical
10:57 space right so so they blown apart part
11:00 the other thing is you've got libraries
11:01 where people go in and they read
11:03 anything that's in a library and they
11:05 amass that in their brain and then they
11:06 go put those ideas together and do other
11:08 [ __ ] it's it's in the same neighborhood
11:10 as that so there there is definitely
11:12 something here for the greater societal
11:14 good um that I think open AI is going to
11:17 have an argument on
11:20 um but it's I it's fascinating when
11:23 you're when you're dealing with
11:24 companies this big with with properties
11:27 with this much power
11:31 you
11:32 know Amelio's Kyle we all understand big
11:35 boy good old boy not offended well thank
11:37 you thank you listen I I try my absolute
11:41 best to you know not fall into the traps
11:45 of how I've been raised for 58 years but
11:48 sometimes sometimes it's it's just uh
11:51 you just sort of go into default mode
11:53 especially when I'm sick where like I
11:55 don't I don't have brain fog I feel like
11:57 I'm okay from a cognitive point of view
11:59 but it it ain't as quick I'll tell you
12:01 that it's a little little slower a
12:03 little slower on the uptake so but thank
12:05 you for saying that I appreciate that
12:08 well I can't live without chat gp4 yeah
12:10 I know well so listen Cosmic lover hang
12:13 on a sec sorry things are
12:16 happening it's going to be awesome
12:20 mhm oh hold
12:23 [Laughter]
12:27 please m
12:35 P modder says tough if you have to
12:37 retrain do it yeah well if you have to
12:41 retrain and
12:43 um but but here's the here's the problem
12:46 p with that is if they have to
12:49 retrain
12:51 then do they do they remove any
12:56 potential publishing data source that
12:59 could be trouble for all of
13:04 history I don't
13:09 know at what point at what point in
13:11 history do you go back do do you do what
13:13 Adobe did and go back to like 1962 and
13:17 the only images in there were public
13:18 domain images from like the 60s and
13:22 earlier so so when when you tried to
13:24 have it make a 70s muscle car it didn't
13:26 know what that was I don't know it's
13:28 this is I again this is
13:31 really this is really unique territory
13:35 because I don't know I don't know we'll
13:38 see we'll see how it goes like it could
13:41 decimate the
13:42 industry if if it if they just make a
13:45 you know an
13:49 objectively sweeping judgment but we'll
13:52 see we'll see like we're we're way far
13:54 from that they filed the lawsuit that's
13:56 a lot different than we've settled and
13:58 cut a deal because Google cut a deal
14:00 with the New York Times they spent
14:02 hundred billion
14:04 dollar I also heard that
14:07 um it looks like open AI is on track to
14:11 to close a new financing deal valuing
14:14 the company at 100 billion dollar put it
14:17 putting it as the second largest startup
14:20 uh behind SpaceX so in terms of market
14:24 cap New York Times will get a boatload
14:26 of money they will settle and set the
14:27 precedent yep exactly yeah this is this
14:30 is going to get down to you you've got
14:31 to pay us some sort of royalties if you
14:33 trained it and I guarantee you I
14:36 guarantee you there there will be a cut
14:38 off below which Publishers of a certain
14:41 size won't be part of the settlement
14:43 it'll be all the big players all the big
14:46 players will be in all the medium and
14:49 smaller players will be out and it'll
14:51 just be tough [ __ ] you're in the
14:52 training set get over it um but we'll
14:55 see we'll see fascinating times man
15:01 all right I just got requested to do a
15:04 music video you guys need to share the
15:07 live hey
15:09 Donnie if you're still something I don't
15:15 know I don't know what that quite what
15:17 that means sherid
15:22 D lunatick for fleem I don't know what
15:25 that's in reference to but isn't chat
15:27 GPT drained on all human human knowledge
15:31 online well ye yes I mean it is it's not
15:35 trained on all human knowledge online it
15:37 is trained
15:40 on whatever data sets open AI could get
15:44 their greedy little paw on over the 3 to
15:49 five years that
15:50 they what once open AI realized that the
15:56 more data you threw at this thing the
15:57 better that it got I just shared your
15:59 live and a buddy went to high school and
16:02 I haven't talked to him for years oh
16:03 that's awesome that's
16:06 awesome
16:07 um he's in a band and he's doing his
16:10 video he's like famous and stuff oh
16:11 that's awesome well if he's here
16:14 welcome um so they they they they went
16:17 and they got as many data sets as they
16:19 could they cut as many deals as they
16:21 could to get data sets one of the nasty
16:23 rumors I heard when the when Sam Alman
16:26 got fired was that one of the data sets
16:29 they got with some dark web you know
16:32 Chinese super proprietary super hacker
16:36 stuff um so I don't like I have no idea
16:41 but there's a reason that no one's been
16:44 able to catch up to open Ai and it's
16:47 because Sam Alman like relentlessly what
16:50 Sam Alman realized is the more and
16:53 better data we have in the training set
16:55 the more and the better this thing's
16:58 going to be
16:59 and
17:00 so it sounds like he just went nuts and
17:03 got as many as as much data as possible
17:05 like like much
17:07 more um relentlessly than than other
17:10 competitors
17:12 now Google's got all the data so Google
17:16 Google should if that if that argument
17:19 holds true then Google should be kicking
17:20 their ass and they're not right now
17:23 until we see Gemini Ultra we won't know
17:27 um so so it's been trained on a lot of
17:31 the output of of human activity and yeah
17:33 like if if there's libraries If part of
17:37 the data set is libraries and part of
17:39 the content of libraries is
17:42 copywritten
17:45 material like I don't I don't know like
17:49 I this is so far beyond you know my
17:51 capacity to understand th this is big
17:54 big stuff data is King data is
17:56 absolutely king or queen uh Becky R from
17:58 for better and
18:02 worse Sam Alman wait what was that Pate
18:05 Sam Alman did not invent the idea of
18:08 more more data is better no I know he
18:10 didn't he just he just embraced it he
18:13 just he just realized if that's the game
18:16 let's go get data and let's go get
18:18 enough money to have enough gpus to
18:21 process all that data that's what Sam
18:23 Alman
18:25 did there's a difference between
18:26 inventing the thing that makes it
18:28 possible and realizing oh if that's
18:30 what's possible then how we win is we
18:32 get the the most data we we go we go get
18:36 the most data but we'll see we'll see
18:38 man this is you know if it's New York
18:40 Times soon it's going to be big get all
18:42 the data is the main subplot in hbos
18:45 Westworld the robots are collecting data
18:46 oh that's true I forgot about that
18:49 they're collecting data on the people
18:52 yeah I mean Google has all the data on
18:54 the people let's be clear data's
18:56 Google's got all that is open AI train
18:58 on the dark web oh I don't know that
19:01 that was one of the rumors going around
19:03 um that there was some Chinese hacker
19:06 group that um had a bunch of data I
19:09 forget what it's called red read
19:11 something dragon or something like that
19:16 and one of the rumors that Sam Alman got
19:18 fired because that got found out and but
19:21 that never it never passed there there
19:22 were so many there were so many bizarre
19:25 rumors uh that you know who knows who
19:28 knows
19:32 I have no
19:33 idea no idea welcome everybody um
19:37 welcome to the AI learning lab my name
19:38 is Kyle Shannon uh if you haven't been
19:40 here before I'm I'm uh recovering from
19:43 the vid I'm still a little
19:45 sickly but what we do here is I'll
19:47 answer questions I'll do demos things
19:49 like that um we've got an exciting event
19:52 coming up Saturday starting at 6:00
19:55 a.m. specific time 6:00 a.m. specific
19:59 time it is actually 6: a.m. specific
20:01 time in in the Pacific time
20:06 zone it is it is that we are starting a
20:10 thing called the
20:11 24hour GPT for good challenge where I've
20:15 teamed up with Ann Murphy of uh
20:18 empowered
20:19 fundraiser and she and I are going to
20:21 alternate teaching people how to make
20:23 gpts for their favorite nonprofit
20:26 whether you work for it or just a Cause
20:28 that you want to do something for um and
20:32 so every 3 hours it's going to be I'm
20:34 going to be doing it here on my Tik Tok
20:36 she's going to be doing it on her Zoom
20:38 Channel um and you can get all that info
20:41 on the AI salon so so that's coming up
20:44 so uh so I'll talk all about that so if
20:47 you've got questions about AI pop them
20:49 in the comments below I'll do what I can
20:50 to answer any of those questions or demo
20:54 anything too many big players involved
20:56 out anyone will have to stop what
20:58 they're doing yeah I agree with that
20:59 like this is deal deals this this is all
21:01 leverage deals are going to get cut
21:03 settlements are going to get made um and
21:06 and the the big folks are going to be
21:08 set up oh how do we sign up okay let's
21:10 jump over there okay
21:15 [Laughter]
21:17 so so if you go
21:21 to the AI
21:25 Salon the salon. a there's two l there
21:29 uh when you go to that thing it's a link
21:30 tree the top one is just to our general
21:32 Mighty networks community and the one
21:35 right below it is the link to the GPT
21:38 for good challenge
21:42 oops this
21:45 thing and so click on the GPT for good
21:48 challenge that'll take you to the detail
21:51 page and starting at 6:00 a.m. and then
21:54 9:00 a.m. and then noon and then 3:00
21:56 p.m. and then 6:00 p.m. and then 9:00
21:58 p.m. p.m. and then midnight like all
22:00 around the clock for 24 hours an and I
22:02 are going to be alternating teaching
22:04 people how to make gpts and you can make
22:07 it for anything if you work for a
22:08 nonprofit great if you just have a local
22:10 church group if you just want to do
22:11 something right for yourself and your
22:13 family um we're going to teach you how
22:16 to make a really specific GPT that that
22:18 teaches someone about that nonprofit and
22:21 we'll be kind of a toe in the water
22:24 for why I think these things are really
22:27 big deals the the
22:29 gpts and and just the you know it's
22:32 worth people understanding what this
22:34 technology makes possible and so so
22:36 that's happening on the 30th so I was
22:38 even thinking maybe tonight I'll I'll
22:39 make one but but we'll see see how I
22:41 feel here so all
22:47 right and then let's see when you go
22:49 over to the AI
22:53 Salon let's see it jumps you
22:57 into
22:59 AI streams and meetings it jumps you
23:02 into this GPT for good here's the uh
23:05 here's the page on the AI
23:07 salon so it's got an
23:10 RSVP and
23:14 um information about the event and then
23:18 the specific sessions all
23:22 right so all that stuff's there and it's
23:24 going to be fun and so here's the deal
23:26 even if you have made gpts before I'd
23:29 like you to come and show up cuz you can
23:30 probably help people and things like
23:32 that can you demo chat GPT custom
23:35 instructions I can definitely do
23:40 that I'll even do it for chat GPT
23:44 3.5 um
23:48 okay let's
23:52 see Mr it I tried to create a GPT the
23:55 only thing I got was steps that I need
23:58 to to do so Mr it the question then is
24:01 were you doing it in chat GPT 3.5 or
24:04 chat GPT 4 cuz if you're doting in 3.5
24:07 you can't make a GPT
24:10 there if you don't have chat GPT 4 you
24:14 can make a bot on PO which are almost
24:17 identical but in terms of who are going
24:19 to be which of those Bots are going to
24:22 be the longer lasting
24:24 ecosystems my suspicion is open AI
24:27 ecosystem is be the longer living but it
24:30 doesn't mean you shouldn't build things
24:31 on PO to just understand how they
24:35 work uh uh uh you got four all right
24:39 well I'll show you how to let let me do
24:40 so here's what we'll do Mr it um I'll
24:43 show how to do custom instructions right
24:45 now and then I'm paying 20 bucks okay
24:51 so so wait so the other question Mr it
24:54 is are you on the mobile app or on
24:57 desktop because if you're on the mobile
24:59 app you can't make gpts on the mobile
25:02 app you can only view them or you know
25:05 interact with
25:18 them desktop all right so I I'll I'll
25:21 spin one up and then you can follow
25:22 along and see if if if I'm doing
25:24 something different or if it if it gets
25:26 you there okay
25:29 so what are we doing custom instructions
25:32 so I'm on chat GPT 3.5 and I can do
25:36 something
25:39 like this is this is fever brain so so
25:42 I'm not going to be as clever as I
25:44 normally am not that I'm clever normally
25:46 but you know it's just going to be
25:48 slower for me to think up something
25:51 stupid uh normally my ability to think
25:54 up stupid [ __ ] is is world class
25:59 um hang
26:06 on okay I'll I'll just do something
26:09 dumb
26:14 um I'd like to understand how
26:16 photosynthesis
26:20 works I'm just going to leave it at that
26:24 all
26:25 right and so chat GPT 3 5 photosynthesis
26:29 is a crucial biological process that
26:31 occurs in Plants algae and some bacteria
26:34 converts sunlight into chemical energy
26:36 stored D and then it gives us sunlight
26:39 absorption light reactions carbon
26:42 fixation sugar formation oxygen release
26:45 and then in
26:47 summary they converted into chemical
26:49 energy in the form of ATP and Ed nadph
26:53 the dark light independent reactions
26:55 blah blah blah blah blah Okay so
26:58 so that explains photosynthesis in a you
27:02 know decent way right a decent and
27:05 predictable way what you can do with
27:07 custom instructions is you can
27:11 change who the bot is so the way they've
27:14 programmed these GPT Bots is they're
27:16 supposed to be helpful assistance on
27:19 your behalf right so you ask at
27:21 something and it wants to be helpful um
27:23 with custom instructions you can change
27:26 that you can alter how it behaves
27:29 so how you get to these and you can do
27:30 this in either chat GPT 3.5 or
27:34 4 but under your settings there's this
27:37 thing called custom instructions so you
27:39 go
27:41 there and so I've written a stupid thing
27:44 here but it's it's a good it's a good
27:46 example of um how it changes the
27:50 personality of the thing okay so I'm
27:52 going to turn it on and I'll I'll read
27:54 what I have in here you are a lover of
27:57 words
27:59 let's
28:02 see you love fancy words you insist on
28:06 using words wait hang on let me just get
28:09 this syntax right you insist on using
28:12 words in every response that even you
28:15 don't understand it is your great
28:17 pleasure in life to watch people be
28:20 confused by what you say knowing that if
28:23 they parse your Genius statements they
28:25 will indeed find that they are accurate
28:27 okay
28:28 so I've basically described a pompus ass
28:31 right so so we're telling chat GPT to
28:33 act like a pompus ass and then the next
28:36 question in custom instructions is how
28:38 would you like chat GPT to
28:40 respond so what I've got here is
28:42 whenever someone asks you a question
28:43 follow these rules always start with an
28:45 obscure literary reference that their
28:48 question reminds you of and find a way
28:50 to work a quote from that work into your
28:53 answer then then when you answer the
28:55 question make sure that you can use the
28:58 most complicated word possible also
29:00 include tangents where you tell the
29:03 story of a word that you just introduced
29:05 in answering their question it should
29:08 take them quite a while to understand if
29:10 you're ever going to answer their
29:12 question all right so so that's what we
29:14 just turned uh chat GPT into I got to
29:18 save my changes um and so now I'm going
29:21 to I'm going to do a new thing and then
29:23 uh I would like
29:26 to understand
29:30 and
29:32 photo
29:34 synthesis so same prompt a the
29:39 fast I like the pompus ass version of
29:41 chat GPT I got to say ah the fascinating
29:45 process of photosynthesis a concept that
29:47 brings to mind the words of Lewis Carol
29:49 and Alice's Adventures in Wonderland as
29:51 allance once remarked curiouser and
29:54 curiouser indeed the intricate dance of
29:56 chlorophyll in Sun sunlight in the
29:58 leaves of plants with nothing short of
30:00 Botanical Wonderland now let me delve
30:03 into the
30:04 Labyrinth labyrinthine lexicon of
30:07 photosynthesis at its core
30:09 photosynthesis right and so it still
30:11 explains the same [ __ ] but it does it in
30:13 this really weird
30:15 way
30:18 um
30:20 so so you
30:22 can where might you use this well maybe
30:26 you do some custom instructions where
30:28 you you copy in some writing that you've
30:30 done and you say I want you to use the
30:32 writing that I've got here for the tone
30:35 of how you answer your questions or
30:38 maybe you don't like all the the prosy
30:40 kind of stuff like we can go in and we
30:42 can
30:43 go custom instructions let me get rid of
30:47 these Al together I can come up with
30:49 that [ __ ]
30:52 again so I'm just going to say um
30:56 you
30:59 are
31:01 an
31:04 impatient
31:07 professional
31:09 who
31:12 doesn't have time for
31:17 nonsense whenever someone asks you a
31:19 question use the following rules
31:24 um answer in a single
31:29 short
31:31 sentence followed
31:34 by five bullet
31:38 points of s to 10 words
31:47 [Music]
31:50 each
31:54 um you should be accurate
32:02 there should be no humor or
32:10 Nuance okay so let's go see if we like
32:15 chat GPD like this I
32:17 would
32:20 like dang
32:21 it to understand
32:26 photosynthesis
32:28 boom done now it only gave us four
32:31 bullet points but whatever it can't
32:33 count well it still doesn't do that well
32:34 and this is also GPT 3.5 photosynthesis
32:38 is the process where plants convert
32:39 light into energy occurs in the
32:41 chloroplasts involve sunlight water and
32:44 carbon dioxide produces glucose and
32:46 oxygen critical for plant growth and
32:48 oxygen production
32:50 um what is
32:54 love love is a complex emotional and
32:56 psychological feeling it involves
32:58 affection Right it can be romantic or
33:02 platonic it's influenced by cultural and
33:04 personal factors so so this this can be
33:08 a very powerful tool now the only thing
33:10 I would recommend is if you use custom
33:13 instructions you should probably have
33:15 sets of them you can only have one set
33:17 like you can't have the multiple choice
33:19 ones that that would be a nice feature
33:21 that they'd add hey I built a GPT about
33:24 love oh that's awesome lunar stick
33:25 that's super cool um
33:28 so anyway don't forget to turn this off
33:30 because if you forget you'll go in there
33:32 to show someone something and it'll like
33:34 cuss at you or do something weird
33:36 however you told it
33:37 behave
33:45 [Music]
33:51 um so I hope that answers your question
33:54 about custom instructions any does that
33:56 make sense the custom instruction stuff
34:00 and we can move on to try to make a GPT
34:02 here I can't figure out how to register
34:05 for GPT for good please advise just go
34:10 to go to the salon. and click on the
34:13 second
34:17 link and you can RSVP there if you want
34:19 to RSVP in the AI Salon you have to join
34:22 the AI
34:23 Salon you can also just look at the
34:25 schedule there and put it in your
34:26 calendar
34:27 but that's a calendar so the AI Salon
34:30 has a calendar built into
34:34 it and so if you go to you go to the AI
34:38 salon and Below Salon info there's AI
34:41 Salon content there's Salon streams and
34:43 meetings that's where that second link
34:44 will take you go to the GPT for good
34:49 event and then you can RSVP
34:55 here or you can just go look look at the
34:57 times that we're going to be doing
34:59 stuff I'm doing them on the nines and
35:03 threes Vicki's doing them on the six or
35:05 uh an's doing them on the sixes and
35:07 twelves all right I made a GPT on how
35:12 not to be single all the
35:15 playgrounds side says for me was good
35:18 luck
35:23 bro that's pretty
35:26 good or is that not what you
35:29 wanted or is that comedy that could be
35:33 comedy oh
35:36 man I am I am major congested over here
35:40 so I might not last I might not last too
35:42 long because it's just hard to
35:48 talk yes just put my personality into
35:51 the custom instructions yeah Kevin
35:52 Vasquez that's actually a pretty cool
35:54 idea so I knew someone that did that
35:56 once actually Bradley who who helped set
35:58 up the the salon he's one of the
36:00 organizers of the salon um he did a
36:03 thing where he put in like here here are
36:05 the here are the attributes of my
36:07 personality and then here's how I want
36:08 you to react he created chat GPT so that
36:12 he could actually brainstorm with
36:14 himself which I thought was kind of a
36:16 brilliant idea so yeah that's a really
36:19 cool
36:21 idea uh uh uh uh is Cindy [ __ ] in here
36:24 looks like it is it free is what free so
36:27 what I just showed you is free custom
36:29 instructions are included with chat GPT
36:33 3.5 there's a lot of stuff though that
36:37 is not in chat gbt 3.5 so let me show
36:40 you a couple of
36:41 things so also at the salon I'm going to
36:45 the AI tools and resources
36:49 page
36:50 um and
36:53 so let me see I'm GNA I'm going to edit
36:56 this let me edit this for a second
37:00 here
37:26 because
37:28 okay
37:30 save I actually updated that today
37:33 didn't I I should update that
37:36 edit
37:40 27 okay
37:44 so if you're just getting started with
37:46 chat
37:48 GPT it's it's even if you're not just
37:51 getting started with chat GPT it's
37:53 really hard to know the difference
37:55 between chat GPT 3.5 and Cat GPT 4 so
37:58 for example let me start over here this
38:02 is cat GPT
38:05 3.5 that's cat
38:08 gp4 look closely
38:13 3.5
38:15 four you're like but Kyle there's no
38:18 difference what are you doing you make a
38:21 mraa now there's this little paper clip
38:23 here the 20 bucks a month get you that
38:26 paper clip um
38:30 but look
38:32 look look at the
38:36 difference so for chat GPT 3.5 oh
38:40 actually custom instruction should go up
38:42 there
38:49 too let me edit I'm going to keep
38:52 editing hang on hang on please we might
38:55 as well make this right cuz people are
38:57 coming in here to learn and if we got
38:59 [ __ ] that's inaccurate you know what I'm
39:03 saying we're going to cut that out of
39:08 there we're going to put it here we're
39:10 going to turn it
39:21 Orange
39:24 includes everything in
39:29 3.5
39:32 plus is
39:34 a multimodal state-of-the-art tool worth
39:38 the investment all right save okay so
39:40 we're going to save that okay so cat gbt
39:43 3.5 you
39:46 get um you know the large language model
39:49 so so to be clear cat gbt 3.5 is still
39:52 really flipping good it can write decent
39:55 it can code decent
39:57 it can um you know categorize things for
40:01 you things like that now it's not
40:02 connected to the internet it is super
40:05 fast you can do custom instructions and
40:08 then also if you have 3.5 they also made
40:11 conversational chat GPT available to you
40:14 which is if you download the mobile app
40:16 of chat
40:18 GPT um I'm on the mobile app in the in
40:21 the bottom right hand corner are these
40:22 little headphones and you can pop it
40:26 into conversation
40:31 mode hey chat GPT could you tell me
40:34 about photosynthesis
40:40 man sure photosynthesis is a process
40:44 used by plants and other
40:46 organisms so it's super cool you can
40:48 talk to it so that's all available in
40:51 3.5 jet GPT
40:53 4 also includes this other stuff
40:57 um first of all it's just better by like
41:02 10x almost
41:04 11x just it's its capacity to know stuff
41:08 and write better and code better it's
41:11 just like way better it's it it's just
41:13 better um so and and it's also gotten
41:18 fast recently it was slow for a long
41:19 time chat gp4 is also connected to the
41:22 internet so even though it's got um its
41:25 latest information is April of 2023
41:28 which isn't bad if you want to do
41:30 current event stuff you can't do that
41:32 with chat gbt 3.5 it's also got code
41:35 interpreter code interpreter is is
41:37 Advanced Data analysis where it actually
41:41 writes and executes its own python code
41:43 you can upload a CSV file of data and
41:47 and it will analyze it for you and
41:50 create charts and graphs and it's it's
41:52 insane it's amazing what it does um gp4
41:56 has this thing called GPT Vision where
41:58 you can upload an image and it can see
41:59 it and understand it it's got dolly3
42:02 image generation which is Bonker good um
42:06 and then you can create and share custom
42:09 gpts so that's what the the event this
42:12 Saturday the gpts for good event is
42:14 going to take advantage of that so um if
42:17 you come Saturday you don't have to have
42:20 GPT um four cuz we we're going to have
42:23 an option we're going to teach you also
42:24 how to do Poots so po.com also has Bots
42:28 and you don't need a subscription to
42:30 make those so even if you only have 3.5
42:33 in GPT you can still participate on
42:36 Saturday um but anyway so so yeah just
42:39 chat gp4 is just crazy in terms of of
42:42 what it's got in it all
42:45 right so how did you get a female voice
42:47 I asked chat
42:50 GPT the voice and it said it only had no
42:55 it's it's in the settings
42:57 hang
43:04 on yeah
43:09 so yeah see I I I had a sneaking
43:13 suspicion so I feel better than I felt
43:16 last night but I just had a sneaking
43:19 suspicion that the the congestion [ __ ]
43:22 was getting worse tonight
43:25 so so I might not last long anyway um in
43:31 chat GPT app you go to your name in the
43:35 lower left and then in
43:38 settings see right there under speech it
43:42 says voice if you click on voice here's
43:46 then your options for the
43:49 voices hi there I just want to share how
43:51 thrilled I am to work with you hey there
43:54 I've got a really great feeling about us
43:55 teaming up hey hey I'm ready to hit the
43:57 ground running hello I'm really excited
44:00 about teaming up with you and hey it's
44:01 great to meet you how's your day going
44:03 hello I'm hey it's great to meet you
44:06 how's your day going that's annoyingly
44:07 positive working on some cool stuff
44:09 together I'm here to be your your
44:11 positive thinking coach I'm really
44:14 excited about teaming up with you and
44:15 I'm all set to dive in that's kind of
44:17 good how can I life easier that's Sky I
44:19 like Sky I'm ready to hit the ground
44:21 running so if there's anything you'd
44:22 like me to focus on first just let me
44:25 know yeah it sounds like a game show
44:26 host hey there I've got a really great
44:28 feeling about us teaming up how can I
44:30 jump in and help hi there I just want to
44:33 share how thrilled I am to work with you
44:34 hello I'm going excited about
44:37 teaming why they only have five I don't
44:39 know and why you can't put your own well
44:42 I know why you can't put your own in
44:43 there because they're afraid of people
44:47 using it for nefarious reasons um I also
44:51 noticed um 11 Labs so 11 Labs you can
44:56 close your own
44:58 voice but how did
45:03 they no it wasn't 11 was it 11 Labs no
45:06 it wasn't 11 Labs it was hey
45:09 Jen hey Jen to make an avatar of myself
45:13 I had to confirm my identity they they
45:16 wouldn't let me make a video clone of
45:20 someone else which was interesting can
45:22 you use personalized voice like Morgan
45:24 Freeman voice not right now
45:28 Raphael there are other services that
45:31 that do that but not chat jbt chat jbt
45:34 right now they're kind of limiting that
45:36 [ __ ] because they just they they don't
45:37 want people abusing it they cut a deal
45:40 with Spotify where like they they cut a
45:43 deal with like Lex fredman and a couple
45:46 of the big
45:47 podcasters where they can um do their
45:50 voices in different languages that's the
45:52 other thing about um chat GPT voice
45:59 is it can do different languages
46:06 so hey I'd like you to act as a Hindi
46:10 translator for me I'm going to speak in
46:11 English and then I want you to translate
46:13 immediately into Hindi without repeating
46:15 the English
46:20 okay sure I'm ready to help with Hindi
46:22 translation just speak in English and
46:25 I'll Translate into Hindi for you go
46:28 ahead with your first
46:30 sentence I hit the gold button that said
46:33 you can make money with chat GPT and I
46:35 haven't made any money yet so I'm
46:37 wondering if the button is
46:55 broken
47:01 you can make Mone
47:09 with you make
47:12 [Applause]
47:21 M don't [ __ ] with the robots they're
47:23 gonna remember us if we [ __ ] with them
47:25 too much
47:29 oh
47:33 man
47:35 oh I wish I didn't feel like poop it's
47:38 not fun feeling like poop you know
47:41 people you know what I'm
47:44 saying um do the special inst
47:46 instructions affect the way she talks to
47:48 you yeah I would think so
47:53 um hang
47:55 on
47:58 let me go add in some custom
47:59 instructions
48:01 here custom instructions off
48:05 continue
48:08 um you're an impatient professional who
48:10 doesn't have time for nonsense no I want
48:12 to get rid of that one I want to I'm
48:14 going to
48:16 go
48:18 um okay I got one I'm gonna I'm gonna
48:21 I'm GNA say you
48:24 are overly
48:27 dramatic and
48:30 only um and and uh
48:36 interpret everything in the
48:40 context
48:42 of
48:45 dramatic
48:48 conflict so that's who she
48:52 is and then how I'd like her to respond
49:02 is
49:06 um first
49:12 reply
49:15 um as
49:17 if what was
49:21 asked is a total
49:25 burden and then only speak in rhyming I
49:32 Amic
49:36 pentameter
49:38 save all right and custom instructions
49:41 is on yes okay so we're going to do a
49:44 new
49:46 chat and we're going to put her so okay
49:49 so she should respond as she's slightly
49:51 annoyed and then everything should
49:55 rhyme
49:58 I've been curious about photosynthesis
50:00 and how it
50:06 works oh the weight of this task so
50:08 heavy and vast to explain Nature's right
50:11 a photosynthetic cast in leaves green
50:13 and a taale does unfold where sunlight
50:16 and water in chlorophylls hold transform
50:19 with such Grace in a dance so bold into
50:21 sugar So Sweet Life's story is told
50:24 carbon dioxide from Air unseen seed
50:26 joins this merry band in pure Harmony
50:29 Oxygen's released a gift to you and me
50:31 from this wondrous process in a Leaf's
50:33 small Lee thus in rhythms of day under
50:37 Sun's soft gaze plants labor in silence
50:39 in their green hued ways in their veins
50:41 runs the Sun a life-giving blaze
50:44 photosynthesis indeed deserves all our
50:46 praise you seem a little over dramatic
50:49 can I have you answer that without
50:51 rhyming everything and sounding so
50:54 bothered
50:58 sure I can explain photosynthesis in a
51:00 straightforward way photosynthesis is a
51:03 process used by oh she I see I got to
51:06 add another rule in there that she can't
51:08 you can't just ask her to not act like
51:10 that S I was dead set against AI saw
51:13 your live and now love it wow that's
51:15 great total Noob but wanted to say
51:17 thanks s thank sorry about
51:20 this thank you so much that's the whole
51:23 point of the channel is
51:26 almost everyone that I know that is dead
51:29 set against AI hasn't used it the only
51:33 thing I want people to do is try it you
51:37 because it it's impossible to
51:43 explain it's it's impossible to explain
51:46 what it is in my opinion you you can't
51:50 tell people oh it's like Siri if Siri
51:53 didn't suck and now she'll probably come
51:55 on and
51:59 suck and and it like that doesn't
52:01 capture it and it and
52:04 it's but once you once you try it for
52:07 yourself and it's because here's the
52:09 thing
52:10 is AI is one of those things where if
52:13 you if you're looking over someone
52:14 else's shoulder you're kind of like oh
52:15 it's like a fancy Google search I get I
52:18 understand what it is but it's not until
52:19 you interact with some piece of
52:23 knowledge that you really
52:27 understand and you you know how hard it
52:29 is to write a screenplay or write a poem
52:32 or write a business plan or right like
52:34 whatever it is what the thing that you
52:39 know and like you're you're playing with
52:41 AI and then all of a sudden you're like
52:43 yeah but it can't do what I do right
52:45 we've all got that human hubris of but
52:48 but but we're special we're just okay
52:52 we're special and then you ask it to do
52:55 the thing that you're that makes you
52:56 special and it does it pretty [ __ ]
52:59 well and quite frankly it probably does
53:01 it better than you do it and it does it
53:02 a lot
53:05 faster that wakes you up like that's
53:08 like a shot of that that's like a shot
53:10 of cold water to the
53:12 face and then you go oh [ __ ] and then
53:16 and and then like from there then you're
53:17 like well wait what else can it do and
53:19 it's almost like this is the this is the
53:22 the the funny thing about generative AI
53:25 right now is is if you give it a shitty
53:28 question it'll give you a shitty answer
53:31 right if you just are like well whatever
53:33 tell me about photosynthesis and it'll
53:34 give you that bland sort of thing you're
53:36 like yeah well whatever I could have
53:38 answered that like that's every grade
53:39 schooler knows
53:41 that but then if you ask it to you know
53:45 explain the mathematical Concepts behind
53:47 the photosynthesis and you really dig
53:49 into the science of it and that's
53:50 something you know you realize oh [ __ ]
53:54 like it knows that too
53:56 um I took a picture of all my
53:58 ingredients and had it craft my meal
54:00 love it oh that's awesome that that's
54:02 one of those ones that it it kind of
54:04 falls into a parlor trick for me but you
54:06 know it's it's it's good oh you'll post
54:08 it to the salon yeah that would be great
54:11 not my job what's your job Earth
54:13 rocker oh you're a rock and roller yeah
54:16 there there's certain things like like
54:18 if you're if you're a a you know a live
54:22 musician yeah not for a bit like we've
54:24 we've probably got
54:26 10 years till the robotss get good
54:28 enough to play music soulfully they'll
54:31 play it competently in five years
54:33 physically but 10 years they'll get
54:37 good so so we've got a decade we got a
54:40 DEC I I I I absolutely think that
54:45 authentic experiences like live music
54:48 live art experiences Live Theater um
54:52 in-person meetings I feel like the value
54:54 of those is going to go up dramatically
54:56 with all this synthesized content
54:58 because it's just going to be there's
54:59 going to be so much content and so much
55:02 work and so much creativity and so much
55:05 that I think we're going to long for
55:07 human connection and so I think that
55:10 actually goes up ugly man isn't that
55:12 sharing not even a
55:14 list huh I don't know what that means
55:18 Amelio's
55:24 wife
55:27 what are you going to do when as ASI is
55:30 here play with it just like I'm doing
55:33 now ASI stands for artificial super
55:36 intelligence so artificial general
55:38 intelligence is when the the these tools
55:41 are better than humans at um most
55:46 valuable tasks and super intelligence is
55:50 where it's better than all of
55:52 us um I don't know
55:57 I it
55:59 it's I am I am already
56:03 personally interacting with technology I
56:06 couldn't imagine being possible in my
56:10 lifetime so for
56:12 me the distance between or or the the
56:16 demarcation between where we are now and
56:19 AGI and
56:21 Asi feels like semantic [ __ ] that
56:26 someone who studies this [ __ ] is going
56:28 to tell us we've achieved AGI it'll
56:30 probably be Sam
56:34 Alman and then we'll start playing with
56:36 it and we'll start to figure out what
56:38 that actually
56:40 means like one thing that seems really
56:43 clear to me is that this technology is
56:45 moving faster than we as humans are
56:47 prepared to deal with it I was
56:50 responding to ugly man who said he took
56:51 a photo of his
56:54 ingredients a list was not needed oh
56:57 that's cool that's very
57:00 cool
57:04 um what was I talking about oh AGI what
57:07 would be an easy way to create a
57:09 business using
57:11 AI this gets into you can make money
57:15 with
57:19 um an easy way to create a business with
57:22 AI is have ai tell you how to make the
57:24 business
57:26 as much as a smartass answer that sounds
57:28 like that's actually the
57:31 reality if if your question
57:34 is what's a good way to use AI to make a
57:37 business that's
57:39 sustainable that's a much harder
57:42 question
57:46 because any business that you can make
57:48 with AI right now someone else can as
57:50 well and someone else can
57:52 likely if it's a good idea their ability
57:56 to steal it
57:57 is that far away right there are now
58:01 tools where you can take a screenshot of
58:03 a website a sophisticated website and
58:06 put it in there and it will just start
58:07 coding that website and actually
58:09 generating the images in
58:11 it so they can steal the website they
58:13 can steal the idea they can steal the
58:16 the what you
58:19 do what they can't steal is who you are
58:23 and how you do what you do
58:29 so the question that I give to the or
58:33 the answer that I give to the question
58:34 of how do you make money with chat
58:37 GPT
58:41 is is not
58:44 swell cuz the swell answer the the the
58:46 answer why I make fun of these
58:50 people other than them being annoying as
58:53 [ __ ] is they've got the formula
58:56 completely backwards they're saying
58:59 start with the
59:01 technology take my course and you can
59:05 make money with chat
59:06 GPT do you know how they're making money
59:09 it's not with chat GPT it's with the
59:12 course now chat GPT likely wrote the
59:15 course don't get me
59:17 wrong but what they are praying on is
59:21 your
59:21 fomo that they know something that you
59:24 don't and here's the real ugly truth and
59:27 it's funny ugly man just came up um they
59:30 don't know more than you
59:32 do they know enough to write a course
59:34 with chbt Lord digital Gods thank you so
59:37 much for the Roses you a generous night
59:39 after night I really appreciate
59:41 that ugly man I'm prototyping a GPT that
59:44 looks at my local grocery store and
59:45 helps help helps me budget perfect
59:48 perfect use I this is the thing I'm most
59:50 excited about with um with gpts and and
59:54 what I'm calling like everyday
59:58 developers it is so easy to make
1:00:01 gpts that you don't have you don't have
1:00:04 to be a programmer you don't have to be
1:00:06 an engineer now if you're an engineer
1:00:08 you can do fancier [ __ ] with it but you
1:00:10 don't have to be
1:00:12 that and so what that means is you're
1:00:14 going to have people making
1:00:15 sophisticated software applications that
1:00:18 have never made a software application
1:00:20 in their
1:00:21 life and so they're going to do cool
1:00:23 [ __ ] with it and they're going to do
1:00:25 minor [ __ ] with it and and they're going
1:00:26 to do unique [ __ ] with it you're going
1:00:29 to go like oh I never even thought about
1:00:31 doing that it's going to be really
1:00:34 inspir inspiring is there an a AI that
1:00:39 uses correct facts all the time all AIS
1:00:43 hallucinate that is the feature not the
1:00:45 bug
1:00:48 um Andre
1:00:50 karpathy just had a really eloquent he's
1:00:53 the chief scientist over at open AI or
1:00:57 now he's heading up uh super alignment
1:00:59 open AI but he just talked about this um
1:01:03 all AI hallucinate so they all might get
1:01:05 it wrong but um use perplexity doai if
1:01:10 you want to get the facts right if it's
1:01:12 about facts and and research perplexity
1:01:15 doai is really good at it cuz it cuz it
1:01:18 it gives you an answer in the context of
1:01:20 something it searched on but it gives
1:01:22 you the citation and and the link to
1:01:24 that thing so you can double check all
1:01:25 your work with all of this stuff if you
1:01:28 need it to be accurate it's on you to
1:01:31 double check the work there's a pretty
1:01:34 famous like three months
1:01:36 ago this dumb [ __ ] lawyer had chat GPT
1:01:41 write a legal brief and he handed it to
1:01:44 a [ __ ] judge without proofreading it
1:01:47 and the judge was like uh Mr McGill cuty
1:01:50 or whatever the [ __ ] his name was it
1:01:52 appears that all of your cited cases
1:01:55 don't exist care to
1:02:00 elaborate that's not chat gpt's
1:02:03 fault that's that lawyer's fault for not
1:02:06 understanding the tool he was
1:02:10 using can't fix
1:02:14 stupid
1:02:16 um again one of the
1:02:20 things that I the the closest thing I do
1:02:24 to preaching
1:02:25 is say play with this stuff play with
1:02:27 this stuff play with this stuff why do I
1:02:29 say that because in playing with it you
1:02:32 find out its boundaries and you do it in
1:02:34 a lowrisk
1:02:35 way so so you say oh I I always wanted
1:02:39 to learn about micr crocheting which
1:02:42 might not even be a thing and then and
1:02:45 then it'll give you some [ __ ] and you
1:02:47 realize oh it made up a whole bunch of
1:02:49 facts about micro crocheting that
1:02:50 weren't there but they're kind of fun
1:02:52 but you learn that and that'll seem
1:02:53 frivolous at the time
1:02:56 and then someone will ask you to do
1:02:57 something and you're like oo I got to be
1:02:59 careful because I know that this thing
1:03:00 can make [ __ ] up but you wouldn't have
1:03:02 known that had you not played so play
1:03:04 play play not all of them hallucinate
1:03:07 you can have ones that refuse to do
1:03:09 things when they don't know yeah that's
1:03:10 that's a good point Pate uh um Eric
1:03:13 Roland who's who's one of the salon
1:03:16 members that you probably know Pate um
1:03:18 he's working on systems right now for
1:03:21 for a big Bank um where they've got a
1:03:24 known set of data they've they've got
1:03:26 like a database of question and answer
1:03:28 sets that have been approved cuz you
1:03:29 know banking is highly
1:03:32 regulated so they got a set of question
1:03:34 and answer sets um that have been
1:03:36 approved and and that he's got a A
1:03:39 system that uses AI to do the general
1:03:42 conversation and then the first thing it
1:03:45 does is check you know did this person
1:03:47 ask a question that's in in the set and
1:03:49 if it is it gives them an approved
1:03:52 answer and then if not it's got all
1:03:54 sorts of spe specific rules about what
1:03:55 it can answer and what it can't so that
1:03:57 that's a good point but I would just say
1:03:58 in general the tools right now you
1:04:00 should assume that they that they're
1:04:03 full of [ __ ] and then if they prove
1:04:06 themselves otherwise
1:04:09 great
1:04:11 um like Wiki in the early auts yep he is
1:04:15 now an ex-lawyer or he should be also
1:04:18 remember that AI is much bigger than
1:04:20 just llms yeah that's a good point
1:04:23 pate
1:04:25 pate's job Pate is in here to keep me
1:04:27 honest and to keep me from getting too
1:04:29 flowery on on uh how magical these
1:04:31 things are he he hates it when I say
1:04:34 they're ma what they do is
1:04:37 Magic it's one of the things that makes
1:04:39 me happy is when Pate gets cranky about
1:04:41 me talking about these things being
1:04:43 magic Kyle does it still hallucinate if
1:04:46 you give it the PDF of the actual Source
1:04:49 it can yes so you need to be careful
1:04:51 with that um
1:04:56 what a lot of this comes down to is
1:04:59 clever prompting so if you just give it
1:05:02 a PDF and say Here's your knowledge and
1:05:05 then you ask it questions it'll
1:05:07 sometimes use that PDF and sometimes not
1:05:09 if you say here's the
1:05:11 PDF I only want you to use the knowledge
1:05:15 in this PDF to answer anything anything
1:05:18 any questions outside of that I don't
1:05:19 want you to answer at all like you can
1:05:22 you can with clever prompting run it
1:05:24 down rabbit holes but I would still test
1:05:26 the [ __ ] out of it and you should
1:05:30 assume that it will
1:05:34 um disappoint
1:05:37 you for
1:05:41 now everything that you build
1:05:44 today
1:05:46 okay where do I
1:05:49 begin we're now we're now just over a
1:05:52 year into the inflection point that chat
1:05:55 GPT kicked off so generative AI chat GPT
1:05:59 sort of consumer
1:06:01 grade powerful AI models available to
1:06:05 regular human beings did not exist
1:06:08 before November 30th
1:06:11 2022 so you could easily argue that
1:06:14 while we're decades into machine
1:06:16 learning and AI development and research
1:06:19 we're one year into whatever the [ __ ]
1:06:22 chat GPT is whatever the [ __ ] Gemini
1:06:24 Ultra is going to be whatever GPT 5 is
1:06:27 going to be we don't know what these
1:06:28 things are yet so everything that you're
1:06:31 building right now with these these
1:06:34 tools
1:06:35 that produce remarkable
1:06:42 results they are just janky pieces of
1:06:45 [ __ ] this is this something I talk about
1:06:47 in here all the time you should assume
1:06:49 that the stuff you build right now
1:06:52 because it's built on top of janky
1:06:54 pieces of [ __ ] is also going to be a
1:06:56 janky piece of [ __ ] and will be obsolete
1:06:59 3 months from now you should just assume
1:07:03 that and if you end up building
1:07:05 something that's really good and not
1:07:06 janky and is predictable and is
1:07:08 consistent and things like that great
1:07:09 you you are in the
1:07:12 minority but these tools are going to
1:07:14 get better and better and better and
1:07:16 better and they're going to get better
1:07:17 fast it's not like they're going to get
1:07:19 better on a slow linear incline it's
1:07:22 like they're going to be janky Jank
1:07:24 janky janky they're a little less janky
1:07:26 oh my God they're better than anything
1:07:28 I've ever seen cat gbt was so helpful
1:07:31 with my system
1:07:33 administration Administration work as I
1:07:36 strove to migrate something from
1:07:37 something yeah that's it's it's really
1:07:40 good like if there's a big knowledge
1:07:42 base for it to know where there was a
1:07:44 lot of data ingested in the model
1:07:46 building these things are remarkably
1:07:48 good and it and systems management is
1:07:50 one of those um as I strove to migrate
1:07:53 and upgrade a server yeah yeah exactly
1:07:56 yeah those they it it's amazing at [ __ ]
1:07:58 like that it's also good at like um it
1:08:03 just knows how to fix [ __ ] like I had Pi
1:08:05 help me troubleshoot a dying battery in
1:08:08 my car and she got it right can you
1:08:11 limit where AI gets its Knowledge from
1:08:14 so you know it's accurate or will it
1:08:17 still do its
1:08:20 own
1:08:23 well you could make your own large
1:08:25 language model the base the Frontier
1:08:28 Model if you have $10 million $5 million
1:08:32 you can go do that if you don't have $5
1:08:35 million sitting
1:08:37 around you can fine-tune these models on
1:08:40 your own
1:08:41 data you have to do you have to do some
1:08:44 pretty
1:08:45 sophisticated logic and error checking
1:08:48 to get it to stay on the rails basically
1:08:51 the the answer is sort of yes it's sort
1:08:54 sort of yes with good
1:08:56 programming
1:08:58 um but no the the P the p in GPT is
1:09:03 pre-trained what that means is it's a
1:09:06 generative it's going to generate
1:09:07 content pre-trained Transformer the t is
1:09:10 Transformer that's the mechanism that
1:09:13 it's been trained on the pre-trained is
1:09:15 we open AI or we meta or we
1:09:19 Google have gone out and found all this
1:09:22 data and we've pre-trained this model
1:09:24 the reason it can have a conversation
1:09:26 with you is that it's been trained on
1:09:29 all of the internet or as much as they
1:09:30 could get their hands
1:09:33 on that Frontier Model so so there's
1:09:37 this thing called GPT 4 which is the
1:09:39 Frontier Model down here and then you
1:09:41 have chat GPT which is an application
1:09:44 that sits up here so chat GPT is the
1:09:47 thing that says oh I'm sorry Dave I'm
1:09:49 afraid I can't do that right that's out
1:09:50 of my content boundaries or um hey it's
1:09:53 really nice to talk to you like the fact
1:09:55 that it's Pleasant and generally gives
1:09:57 you what you want and won't do really
1:09:59 nasty things that's at the application
1:10:01 layer the the underlying Frontier
1:10:05 Model it would behave very very
1:10:08 differently without this application
1:10:10 sitting on the top of it um it would
1:10:12 cuss at you it would speak at you in
1:10:14 foreign languages and in tongues and um
1:10:17 let you do all sorts of evil nasty
1:10:19 things and harm other people and it
1:10:21 doesn't care if it doesn't have some
1:10:23 layer on top of it um but no the the
1:10:27 power of all of the stuff that we're
1:10:29 using is in the fact that it knows
1:10:31 everything that's one of the reasons
1:10:34 that Sam Alman said I don't think the
1:10:38 underlying model should be open- sourced
1:10:40 because it's too
1:10:42 dangerous and that's that's where Elon
1:10:44 Musk and him have just philosophical
1:10:47 diff differences elon's like [ __ ] it put
1:10:49 it out there that's meta said [ __ ] it
1:10:52 put it out there you can go get llama
1:10:53 right now the Llama 2 model with
1:10:57 without um safety guard rails on it and
1:10:59 have it do all sorts of crazy [ __ ] you
1:11:02 have to roll your own you have to you
1:11:03 have to know how to play with open
1:11:04 source stuff but you can go do that
1:11:06 right now that's why Sam Alman you know
1:11:10 sort of defied the name of the company
1:11:12 open AI was supposed to stand for open
1:11:16 source
1:11:19 AI That's why it was founded as a
1:11:23 nonprofit
1:11:26 Tam Tam Z I'm late dang it now you're
1:11:29 right on
1:11:30 time we're just rambling tonight I got a
1:11:33 cold I'm my my
1:11:35 brain's my brain's actually fine tonight
1:11:37 it's my I can just barely
1:11:41 talk repeat repeat I don't know what I
1:11:45 said um I will repeat it if you tell me
1:11:48 what I lost the stream uh
1:11:51 oh oh NOS
1:11:55 did I switch cameras it usually goes
1:11:57 away when I switch
1:12:02 cameras speak in tongues it will hey AI
1:12:06 learning letters
1:12:08 anema empathetic
1:12:12 Animalia what's happening like Frontier
1:12:14 Airlines let's see
1:12:17 they they stand their ground until you
1:12:20 correct them then they kind of reset oh
1:12:23 I apologize do you think some people
1:12:24 might use AI to hurt
1:12:27 Humanity yes well I think yes it and
1:12:34 it's so let's be clear about some
1:12:37 things ai's been around for decades and
1:12:41 big Power structures have been using AI
1:12:45 for nefarious reasons for
1:12:48 decades um they've got all of our data
1:12:52 they know all of our [ __ ] right they've
1:12:54 been
1:12:54 doing large scale
1:12:57 personalized you know surveillance [ __ ]
1:12:59 and marketing [ __ ] they like all that
1:13:01 [ __ ] for
1:13:02 decades what's different with generative
1:13:06 AI is that it puts this power in way
1:13:10 more hands right there there's a certain
1:13:14 self
1:13:18 regulating
1:13:20 benefit to only the powerful only the
1:13:24 powerful having access to powerful AI
1:13:28 right the militaries and countries and
1:13:31 big corporations because all of those
1:13:33 entities have vested interests in
1:13:36 protecting their entity right so so
1:13:40 they're going to they're going to use AI
1:13:43 in their interest but they're going to
1:13:44 try to prevent others from [ __ ] with
1:13:46 their interest right so there's kind of
1:13:48 this massive perverted self- policing
1:13:52 goes on when when only a handful
1:13:55 relative handful of people have access
1:13:57 to these powerful
1:13:58 systems what generative AI does is it
1:14:01 kind of opens Pandora's Box to say hey
1:14:04 we're going to democratize access to
1:14:06 these tools and so it's less like can
1:14:10 people do evil [ __ ] with AI of course
1:14:12 they can they and they've been doing it
1:14:14 for years
1:14:17 decades what changes now is
1:14:22 that there's an formality to the or or
1:14:26 there's a there there's a
1:14:27 democratization to access to that kind
1:14:29 of power so you have people with very
1:14:31 very different motives that now have
1:14:33 access to these tools now the good news
1:14:36 is that not only do the black hat
1:14:38 hackers have access to these tools so do
1:14:40 the white hat hackers right so that
1:14:43 battle between people trying to do bad
1:14:45 and and good guys trying to stop them
1:14:48 that's been there since computers right
1:14:51 like
1:14:52 that's that's it's just the game right
1:14:55 hacker going to hack you know white
1:14:57 hacker going to try to prevent them and
1:15:00 it's a whole [ __ ]
1:15:02 society it's just that that world just
1:15:05 got expanded to millions of people
1:15:08 rather than probably thousands or tens
1:15:10 of thousands right of relatively
1:15:13 powerful hackers because the tools are
1:15:15 are now so much more
1:15:17 powerful so it's going to be interesting
1:15:19 to see when you have like little rogue
1:15:21 agents running around with these AIS
1:15:23 what they can do we didn't lose you Kyle
1:15:26 it wasn't you this time
1:15:28 finally um how much does AI Control
1:15:31 machines that can build things if
1:15:34 any um I don't know if you seen the you
1:15:37 see the video of the the Tesla robots
1:15:39 building Tesla
1:15:43 robots we're not that far from
1:15:45 that we're not that far from that at
1:15:49 all like handful of years we are Star
1:15:53 Wars we're getting
1:15:54 close I had this combo with a friend
1:15:56 today yes the evil will try we will
1:15:58 police it same as ever yeah yeah exactly
1:16:00 Earth rocker it's like it's like the
1:16:03 difference is so so here's the deal in
1:16:07 today's world set set AI aside for a
1:16:10 second in today's
1:16:12 world if you want to like break into
1:16:15 government computer systems right you
1:16:17 have to be like this level of
1:16:20 hacker and if if you have to be this
1:16:22 level of hacker like the amount of
1:16:24 people that are that level of hacker is
1:16:26 like really small it's like you know
1:16:28 there's like a hundred of them and they
1:16:29 all know each other right it's like it's
1:16:31 a whole club they all know they can do
1:16:33 it there's some little code of ethics or
1:16:35 not in there it doesn't [ __ ] matter
1:16:37 but you have to be this good well AI
1:16:40 tools are like here and now they're here
1:16:43 and now they're here and now they're
1:16:45 here like there's going to be a point at
1:16:46 which AI tools are like here good and
1:16:50 who has access to being that good
1:16:52 hundreds of thousands millions of people
1:16:56 so if you have a hundred people that are
1:16:57 this good and millions of people that
1:16:59 are this
1:17:00 good it doesn't take the just do the
1:17:04 math someone's going to [ __ ] with
1:17:08 something the white hat hackers can you
1:17:11 know find them more quickly and take
1:17:12 them down more quickly but that's that's
1:17:15 a thing that makes me more nervous than
1:17:19 the big entities like I just feel like
1:17:21 they've got their own incentives and
1:17:23 disin incentives to not [ __ ] with each
1:17:25 other can you talk about some other AI
1:17:28 tools like what are your top five tools
1:17:30 other than chpt sure I can absolutely do
1:17:33 that and I think so why don't
1:17:38 we let me see if I can make this a
1:17:40 little bigger so it's easier to
1:17:45 read
1:17:47 okay
1:17:51 um Okay so
1:17:55 Chachi PT in my opinion is still the
1:17:57 best it's it's like it's the biggest
1:17:59 it's the best that's that's the one you
1:18:01 want to
1:18:02 use
1:18:05 um these four I would say are kind of
1:18:08 the next four large language models that
1:18:11 are worth you understanding the
1:18:13 strengths
1:18:16 of Claude in particular is a bunch of
1:18:19 exop AI people that these are the guys
1:18:22 that built
1:18:24 gpt3 they've got a it's called the
1:18:26 company's called
1:18:27 anthropic they've got a really
1:18:29 interesting safety model called the
1:18:31 Constitutional learning model anthropic
1:18:34 mission is not to build a chat GPT
1:18:36 competitor it's to create safety
1:18:40 protocols to make these large language
1:18:42 models safe and keep them aligned with
1:18:44 human imperatives basically so they
1:18:47 build Claude as a way to test their
1:18:51 theories um and it's really good right
1:18:53 they understand this [ __ ] very very
1:18:55 deeply um Bard is now this is now Gemini
1:18:59 Pro sitting underneath Bard so if you
1:19:01 want to play with Gemini Pro which is
1:19:03 kind of their chat GPT 3.5 model it's
1:19:07 connected to the internet it codes
1:19:08 really well um this is good and it's
1:19:11 going to get way better when they
1:19:13 release uh Gemini Ultra although my
1:19:17 guess is it's not just going to it's not
1:19:18 going to be a bard.com or it will be
1:19:21 like you know bard.
1:19:24 Advanced right it'll it'll likely cost
1:19:27 you 20 bucks a month but right now this
1:19:28 is free um perplexity AI is really good
1:19:32 if you want to do research it does a lot
1:19:34 of citations um Microsoft co-pilot is is
1:19:37 essentially Microsoft's version of chat
1:19:39 GPT 4 it's free it does image generation
1:19:43 it now does song generation they cut a
1:19:45 deal with suo AI um To Do song
1:19:48 generation then you have specialty large
1:19:51 language models you've got Pi this is
1:19:53 this is one of my favorites and it's
1:19:54 funny a lot of the people a lot of the
1:19:57 Irregulars that come to this channel a
1:19:58 lot this is one of their favorites cuz
1:20:00 it's designed to be conversational and
1:20:02 it's getting a lot better pay attention
1:20:04 to these guys they raised $1.3 billion
1:20:08 they just bought 22,000 gpus their
1:20:11 Frontier their base model is going to
1:20:13 get really good and it's going to be
1:20:15 designed to be conversational and to be
1:20:18 an agent on your behalf so pay attention
1:20:20 to Pi that's a good one um grock is a
1:20:23 waste of time right now but it's built
1:20:25 into Twitter and so if you pay 16 bucks
1:20:28 a month you get access to it I think
1:20:29 right now it's a waste of time and money
1:20:32 but that's probably going to get better
1:20:33 it's it's only two months old so it's it
1:20:36 makes sense that it's a piece of crap
1:20:37 right now but but it it at least has a
1:20:40 sense of humor um which is fun um llama
1:20:44 2 um I've got labs. perplexity here
1:20:46 because you can play with it there but
1:20:47 llama 2 is actually the foundation of
1:20:51 essentially the the whole open open
1:20:53 source um AI world is kind of you know
1:20:59 leveraging llama 2 um as as as a
1:21:03 starting point and there's
1:21:06 just if you're geeky in any way there
1:21:08 there are massive amounts of projects
1:21:10 going on in AI that you should
1:21:12 absolutely go play with and then po.com
1:21:16 is from quara the CEO of quara Adam
1:21:21 D'Angelo is on he was the one surviving
1:21:24 board member that tried to OU Sam Alman
1:21:27 he survived so po.com is interesting
1:21:30 because of that relationship they also
1:21:32 have GPT like things you can build
1:21:36 called Bots you can build a bot at PO
1:21:38 for free you don't need a gp4 account
1:21:42 and you can also play with like I don't
1:21:43 know 10 or 12 different models here it's
1:21:46 it's it's it's an interesting one all
1:21:48 right so these are all chat gbt like
1:21:51 things but there are eight of them that
1:21:52 I think think are major enough you
1:21:55 should pay attention to then you get
1:21:56 into image oh by the way this
1:21:59 list is at the AI salon
1:22:02 so the AI
1:22:05 Salon is a group that I started um the
1:22:09 week after chat GPT came out so if you
1:22:12 go to the
1:22:13 salon. that'll take you to a link tree
1:22:16 the first link there will link you to
1:22:18 the mighty Network's site which this
1:22:21 list that I'm showing is on
1:22:24 um and so you can come join and you can
1:22:26 it's it's a really cool Community you
1:22:28 can introduce yourself you can learn
1:22:29 about the salon things like that um okay
1:22:33 image creation you got Dolly 3 this is
1:22:35 inside chat GPT and Microsoft co-pilot
1:22:39 you have mid Journey mid Journey V6 just
1:22:42 came out it's quite good they also just
1:22:44 created a
1:22:48 uh a web front end um so so you you
1:22:53 still have to primarily make your images
1:22:55 in Discord but that's changing we're in
1:22:58 the in in the middle of that rolling out
1:23:00 to the web um I think that's going to be
1:23:02 a big deal for them apparently there's
1:23:04 some updates to V6 version 6 coming out
1:23:08 in the next week or two um that are
1:23:10 going to make it better at text better
1:23:13 at prompt coherence basically being more
1:23:15 accurate to what you put in the prompt
1:23:17 and a couple of other things and then uh
1:23:20 also they're apparently working on video
1:23:22 so image to video um so pay attention to
1:23:25 Mid Journey these guys if if you want
1:23:27 high quality art mid journey is the top
1:23:30 of the pack right now they're a pain in
1:23:33 the ass cuz you got to do it on Discord
1:23:34 but they're improving quite quickly I I
1:23:37 feel like their lead was slipping pretty
1:23:39 significantly because of Del but they
1:23:42 they're getting their [ __ ] together and
1:23:44 I'd pay attention to them in the next
1:23:46 three months um Korea is interesting
1:23:49 Korea is really just a rapper app
1:23:51 sitting on top of a bunch of stable
1:23:52 diffus Fusion Technologies from what I
1:23:55 can tell but they're it's pretty slick
1:23:57 and it's real
1:23:58 time they call it thought to image so
1:24:01 you just like draw shapes in the
1:24:03 left-and pane and it renders the image
1:24:05 in the right hand pane based on your
1:24:07 prompt it's it's pretty remarkable
1:24:10 Leonardo also does that it's also a
1:24:12 stable diffusion web wrapper um this has
1:24:16 gotten remarkably capable in the past
1:24:18 month or so they've just added feature
1:24:20 after feature after feature then Firefly
1:24:24 from Adobe is has not been trained on
1:24:26 any copywritten images so if you're in a
1:24:29 corporation that's really good
1:24:34 there man the voice is
1:24:39 crunchy all right Runway ml video
1:24:42 creation so you've got Runway ML and
1:24:46 pabs are kind of the two main players of
1:24:48 text to video or image to video both of
1:24:51 these guys are getting better and better
1:24:53 and better they're they're we're very
1:24:55 early and the the videos are janky as
1:24:59 [ __ ] but enjoy this time where the
1:25:02 videos
1:25:03 suck because they're going to get better
1:25:06 fast like over the next year both of
1:25:10 these Labs both of these
1:25:13 companies um are likely going to be able
1:25:17 to produce video content as as well as
1:25:21 stability AI
1:25:23 you know they're going to put out models
1:25:25 that are just going to get better and
1:25:26 better and better if if um Mid Journey
1:25:30 gets better like just so
1:25:32 anyway this is a really interesting area
1:25:34 to
1:25:35 explore um just because it's so shitty
1:25:38 right now that real filmmakers are going
1:25:40 to look at this stuff and laugh at it to
1:25:43 their own
1:25:45 detriment um Avatar creation he Jen and
1:25:48 did both of them are doing really
1:25:50 interesting
1:25:51 [ __ ] um if you just need to put together
1:25:54 a corporate video that like stitches
1:25:56 together stock video Visa does it really
1:25:59 really well it narrates it it writes the
1:26:02 script narrates it finds you all the
1:26:04 clips stitches them together and then
1:26:06 you can pay them to remove all the
1:26:08 watermarks it's it's it's a pretty slick
1:26:10 piece of stuff music and audio you've
1:26:12 got 11 Labs um for voice synthesis you
1:26:16 have sunno ai and refusion for um
1:26:20 generated
1:26:21 songs and then uh sunno that this this
1:26:24 is the one that got incorporated into
1:26:26 Microsoft co-pilot and then you have
1:26:28 sound draw which is kind of a loop
1:26:30 composer kind of like garage band but it
1:26:32 does it really really quickly using AI
1:26:35 uh then you got 3D objects and worlds
1:26:37 you can go play with those I think it's
1:26:39 a little early for any of those right
1:26:41 now but you can go play with them and
1:26:42 they're expensive uh and then you've got
1:26:45 um people I think you should follow
1:26:46 Ethan mullik one useful thing. org
1:26:49 [ __ ] brilliant David Shapiro Beyond
1:26:52 brilliant
1:26:53 Paul rater and Rachel Woods on the
1:26:54 business side of
1:26:56 things both of them are good all right
1:27:00 so that's that list so that's the [ __ ] I
1:27:02 think you should go play
1:27:04 with ask a ask a simple
1:27:09 question there's not a good way right
1:27:12 now hang
1:27:18 on there's not a good way right now to
1:27:21 keep up with this [ __ ]
1:27:25 it's essentially
1:27:27 impossible to just keep up with open
1:27:33 Ai and then what Google's doing Google's
1:27:37 got where is that AI get some rest Kyle
1:27:40 yeah I know I got to get some rest um I
1:27:42 will I I'll bug on out of here what was
1:27:45 the question about the
1:27:49 salon where's the the last AI salon
1:27:53 picture which one this
1:27:56 one that is
1:27:59 in if you go to the
1:28:03 salon and go to welcome to the
1:28:06 salon that's where that picture
1:28:17 lives is that is that the question
1:28:19 you're
1:28:21 asking
1:28:23 you should wrap it up and protect your
1:28:24 voice for another day yep Kyle might
1:28:26 have to use hey Jen to do the talking
1:28:28 actually it's not a bad
1:28:31 idea yeah when I when I do that big tool
1:28:34 thing it's a lot of talking so I I just
1:28:36 ground the voice to a halt
1:28:40 there so I'll get out of here but let me
1:28:42 just look at let me just look at some
1:28:43 comments and then I'll then I'll scooch
1:28:45 on out of
1:28:49 here no the winter
1:28:53 the winter oh this image this is in show
1:28:58 and tell if you go into show and tell
1:29:00 it's from Danielle she did like three of
1:29:08 them so if you go into Show and Tell
1:29:12 let's see what people have been up to in
1:29:13 here happy New Year nice quick take
1:29:16 Jake oh that's cool
1:29:21 nice very
1:29:23 cool don't tell husband AI is My Little
1:29:27 Secret Ted Ted's the
1:29:31 best that's a cool one who did that
1:29:33 quick take Jake that's
1:29:35 beautiful nice wow dude you're killing
1:29:39 it these are awesome Machine Gun
1:29:44 Kelly damn that's
1:29:51 good now the time for Jello salads we
1:29:55 got to bring back Jello-O salads people
1:29:57 I think Ted's right here and Barbara's
1:29:59 doing these uh someone get Kyle a
1:30:04 tissue that's
1:30:07 awesome anyway somewhere in here um is
1:30:10 Danielle's oh these eyeball things are
1:30:12 really good too who's this oh papa JJ
1:30:15 yeah yeah he's done some some really
1:30:18 cool Claire her work lately is Just
1:30:22 Killer too look at
1:30:24 that so this is the show and tell
1:30:26 channel in the AI salon so somewhere in
1:30:29 here is the uh is that
1:30:31 image it's from Danielle if you search
1:30:34 for Danielle you'll find
1:30:36 it do you think I I will decrease the
1:30:39 number of software engineer jobs
1:30:42 long-term
1:30:47 well it's going to dramatically change
1:30:51 them Joker Kyle keep going till you pass
1:30:54 the [ __ ] out Joker knows
1:30:56 [Laughter]
1:31:01 me all right I do got to get out of here
1:31:05 I got to go deal with
1:31:06 the deal with the
1:31:09 c is it all done with mid Journey no
1:31:11 most most of these things that you're
1:31:13 seeing in the AI Salon are done with
1:31:16 um with Dolly 3 inside chat
1:31:21 GPT okay uh Danielle just tagged me in
1:31:24 the images okay great so hang
1:31:27 on yeah that doesn't help them find it
1:31:29 though I think if they just I think if
1:31:30 they just look for you they can find
1:31:34 it
1:31:38 um got you thank you okay it's funny
1:31:41 that Claire and I had a similar concept
1:31:43 with the avocado kitchen color good
1:31:47 night your regulars good night Kyle feel
1:31:48 better see you tomorrow all right
1:31:49 everybody uh yeah I'm going to wrap it
1:31:51 up Mods thank you for modding Irregulars
1:31:54 thank you for being awesome subscribers
1:31:56 thank you for subscribing makes a huge
1:31:58 difference um everyone else
1:32:01 um get curious about AI play with AI
1:32:04 have your Kevin McAllister moment that
1:32:07 one if you haven't had it yet keep
1:32:09 playing Lord digital Gods thank you so
1:32:11 much for the Roses um I'll be back
1:32:15 tomorrow Saturday so tomorrow's Thursday
1:32:18 so I think what I'm going to do tomorrow
1:32:19 is I'm going to start building the GP s
1:32:22 I'm I'm going to start building the
1:32:23 prompts for the gpts that we're going to
1:32:26 build on Saturday for the 24-hour GPT
1:32:28 for gathon all right um so so check out
1:32:33 the uh just just be here for the be here
1:32:37 through Saturday it's going to be worth
1:32:39 it to be here all
1:32:41 right and uh all right who we got in
1:32:44 here jrc good to see you Kevin Vasquez
1:32:47 always great to see you Spike Jones
1:32:49 don't forget the lemon I will go do that
1:32:51 right now in in fact uh bitly so bit.
1:32:56 lgpt forg
1:33:00 good not underscore internal that's the
1:33:03 that's
1:33:05 the that's the spreadsheet isn't it an
1:33:07 we need the what's the just go to just
1:33:12 just go to uh the salon. the second link
1:33:16 talks about the 24hour event on
1:33:19 Saturday um
1:33:23 actions is what you want to learn Kyle I
1:33:25 know I you know what I haven't learned
1:33:28 actions well enough to go over it here
1:33:30 so I'll get my [ __ ] together in the new
1:33:32 year on that one I'm kind of waiting for
1:33:34 open AI to make that a little bit easier
1:33:37 they they just added one thing they
1:33:38 added in there Joker you might want to
1:33:40 check out is they added a GPT for
1:33:43 actions that'll teach you how to do them
1:33:45 you can just ask it to build you API
1:33:48 [ __ ] and it does it so so anyway um oh
1:33:51 okay okay go to bitly
1:33:55 bit.
1:33:56 lgpt forgood 2023 that takes you to the
1:34:00 website that explains what that event's
1:34:01 all
1:34:02 about all right everybody Ann Murphy I'm
1:34:06 excited to do this thing with you on
1:34:08 Saturday Blandon and honey oh that's it
1:34:11 I need Blandon and honey right now
1:34:13 against the norm you're awesome um
1:34:16 Silver Fox good to see you papa JJ
1:34:18 awesome as always Debbie did I miss you
1:34:23 we're we're here I you know me I'll be
1:34:25 back uh quick take Jake good to see you
1:34:27 Dr J frck Drew good to see you happy
1:34:31 down under Be not Afraid thank you
1:34:34 digital Gods Lord digital Gods to you
1:34:37 Silver
1:34:38 Fox Tobias good to see you sir all right
1:34:42 all right everybody peace out have a
1:34:43 good night I'm going to go deal with the
1:34:45 voice the snot the everything peace
1:34:48 bye