Full transcript
Intro
0:00We have a brand new update in Claude
0:02because we've just got our access to
0:04mods. Claude mods has dropped. And on
0:06top of that, really importantly, we have
0:08a milestone in AI video generation
0:11conversation where effectively an AI
0:13video model has officially passed the
0:15touring test, meaning that more people
0:18than fewer were a not able to identify
0:20that they were talking to an AI. Nick,
Griffin's live-video test
0:22shall we actually begin with Griffin
0:25Travis's new model? Talk about what this
0:27means. Uh, actually it was 48% of people
0:30who talked to it thought it was a real
0:32human. So roughly 50/50 split.
0:34>> Pretty insane to think about. I mean, I
0:36think we all knew that we were heading
0:38in this direction, but to see it happen
0:40so soon, bonkers. Um, I personally
0:42maintain that Vanessa here, quote
0:45unquote, still has a couple of tells. So
0:48for me, it's not, you know, total cat
0:51out of the hat so far. I mean, I can see
0:52she's putting up her fingers and stuff,
0:54but there's something weird with her
0:55eyes. Her smile looks a little bit off.
0:57Still, I could absolutely see this fool
0:59uh some granny's you know so I mean if
1:02you guys don't already have some sort of
1:03like safe password setup with most of
1:05your family would definitely implement
1:07that. Now my big question for this stuff
Useful avatars vs deceptive ones
1:09and I don't mean this in a bad way to
1:11Tavis because you know I think that this
1:13sort of development is impressive is
1:15what are the positive use cases of a
1:19technology like this?
1:23>> That's a good question. That's a really
1:24good question. I first of all I think
1:26the first thing to do is sign your alarm
1:27bells. Tell every grandmother within
1:30five miles of Texas beware. Get ready.
1:34>> Just Texas.
1:35>> Yeah, just Texas specifically Texas.
1:37It's cool. Who I think is worth looking
1:40at here is I was playing around with the
1:41previous version of Tapers cuz this is
1:44out right now in early access.
1:46>> I actually and I actually played with
1:48the previous version and the previous
1:50version they they basically can't move
1:52their hands. they can't move their body
1:54and that was one of his biggest limiting
1:56factors, Nick, is that it was kind of
1:57like but here she can like lift her
2:00thumb lift her thumb up and stuff. So
2:02you might even see it here for example
2:03on this uh demo maybe he gets a bit like
2:05that's got like an AI feel to it right
2:08mainly because he's not justiculating
2:10the use cases I mean honestly I suppose
2:14it's probably just consumer apps right
2:16like just having like a individual that
2:19you can talk to to guide you through
2:20things that there's learning
2:22applications I would imagine
2:25>> but
2:28yeah yeah I think yeah that's what I was
2:30trying to get at just like I mean I
2:31could see learning applications in a
2:32situation like this where you have like
2:34some 3D CGI tutor or something you know
2:36sure whatever I could see some
2:38applications where I don't know people
2:39are or rather the intelligence is
2:41stylized and it's clear that like while
2:43I anthropomorphized it's not like a
2:44human being but the ones where like
2:46they're meant to look just like human
2:48beings. I mean what is the comparative
2:50value there? I I don't know man. I
2:52really don't know what the comparative
2:53actual value of that is aside from just
2:55like literally and I hate to say it just
2:57talking mostly to old people that
2:58wouldn't be able to tell the difference.
3:00There are probably some legitimate use
3:01cases where you can talk to old people
3:03that wouldn't be able to tell the
3:04difference. You know, maybe people in
3:05care homes like um you know that company
3:07they were working with. I don't know,
3:08maybe you know a 3D CGI happy fun smiley
3:12face robot thing would freak them the
3:14[ __ ] out. So, you want it to seem like
3:15there's a human being on the other end
3:16of the line. But still, it all feels
3:18like it's based on deception to me. And
3:19I think that's the part that's sort of
3:21unsettling. Um all of this is in some
3:23way, shape, or form deceiving. No. Well,
AI guests on calls
3:25when you said that, I just thought to
3:27myself, well, what are all the times
3:29when I'm on a screen like this with this
3:30square? And I was like, well, we could
3:32get the one on the podcast.
3:35We could get an AI Jack and AI Nick to
3:37join us. So, guys, if it ever happens
3:39that one was not here, this could never
3:41happen again. We can tav this Nick in.
3:44We can
3:44>> blink twice if she needs help.
3:47>> Two of them and like give them and like
3:48make one like more funny than the other
3:50one. I'd like to make make them very
3:52disagreeable. Um, so we we could you can
3:55real time have AI podcast like people
3:57podcast. The other thing I'm thinking as
3:59well is like wouldn't it be really funny
4:00if you have like you know like a call in
4:03one of our communities and then we're
4:04like just bring an AI in who just like
4:08knows where all the stuff like I know
4:09just like has like loads of knowledge or
4:11something or
4:13is just funny or I don't know you could
4:15bring him into calls or something like
4:17or even with clients.
4:19It could it could also be a liability
4:20though if he starts glitching out
4:21because hey it's no reflection on the
4:23skill of what we bring to the table. But
4:25I I think there's some cool thing I
4:26think it will replace note takers
4:28eventually like can you imagine having
4:29like AIS on the meeting
4:32>> but I feel like if we get to that if we
4:34get to that point though Jack would you
4:35even want to do the meeting? I mean
4:36you're already at the point I'm pretty
4:38sure where like half your eating
4:39meetings you're just like leaving and
4:40you're like okay that could have been an
4:41email so [ __ ] let's do a call when
4:43you actually have something valuable
4:44enough to jump on a call for me to share
4:46with. Like
4:47>> don't you think this is one of those
4:48really low bandwidth situations that
4:49like and that's why I'm thinking like
4:51sure kids Yeah. And then really old
4:53people both of which have like
4:55legitimate intellectual bottlenecks
4:58around their ability to communicate.
4:59Like sure I can get that but like for
5:01like anybody else I don't know maybe I'm
5:04just crazy here. If you guys see
5:07>> Yeah,
5:08>> I know what you mean. I know what you
5:09mean. I think like it's probably got a
5:11few things like Yeah. I mean it's it's
5:14an interesting one. I think it's very
5:15cool. Like, if it genuinely is
5:17indistinguishable,
5:20then that's really [ __ ] amazing.
5:21Like, that's really impressive. Like,
5:23that that's I'm sure we'll find all the
5:25cool use cases for it. But, I mean, how
5:27would you feel, Nick, if someone booked
5:29in a 15-minute call, then they sent
5:30their like tapis avatar?
5:33>> A feeling that'd be such a burn
5:36>> for you to do that to somebody and like
5:38I have like a consultation link or
5:40something and it still costs like a,000
5:42bucks. Somebody pays it sends the tapest
5:44thing.
5:46>> I do that to somebody.
5:48>> Yeah. The digital avatar of Nick. Hello
5:51there.
5:52>> I'm Well, the the real the real Nick is
5:54out there working with his clients. I'm
5:56here to help you really understand.
5:58>> We're too bit too busy to make it out of
6:00the call.
6:02>> I can't make it. I might have a tall
6:04joke. He knows what he's talking about.
6:07>> Dude, I I actually built an AI Jack and
6:09Sun. Dude, I actually preferred AI Jacks
6:11over Jack's response. I was like, I
6:13don't know. It's like both a burn and a
6:15compliment simultaneously, right? That
6:17it's great they like it, but also like
6:19they preferred AI Jack comment. So, I
6:21would probably iron unironically think
6:23it'd be funny, Nick, to send it to
6:25meetings on.
6:27>> That is funny. Jack, can I derail this
Pope Leo on AI art
6:29totally and talk about something that we
6:30were not planning on talking about at
6:31all?
6:32>> I I think we need to better talk to me.
6:34So earlier today, the Pope tweeted, and
6:37I think he tweeted basically because of
6:40me.
6:41>> Whoa. So this is the this is the
6:44situation. You guys know how a few days
6:46ago I made this ex post that was um
6:49well, they're calling it the the worst
6:51ratio of all time.
6:53>> They're not, are they?
6:55>> I don't think they are calling it the
6:56worst. I don't think a single human
6:58being has been ratioed as I've been
7:00ratioed.
7:02got [ __ ] barely 3,000 likes something
7:03with 14 million. Anyway, um immediately
7:06after, you know, a bunch of other people
7:08started and then guess what Pope Leo I
7:1014th said, "In this era of artificial
7:12intelligence, it is becoming urgent to
7:14distinguish human art from what machines
7:15produce. There's an onlogical
7:17difference, even before an aesthetic
7:18one, between art and what a machine can
7:20generate through statistical calculation
7:21based on millions of images created by
7:23others. Algorithms lack the spark of
7:25humanity. For this reason, the church
7:27wants to renew an alliance with artists
7:28and cultural institutions to safeguard
7:30our humanity. Jack, please tell me I'm
7:32not crazy here.
7:33>> So, so it looks like Nick has caused the
7:36Pope to essentially um renew Hang on,
7:40guys. He's caused the Pope to create an
7:42alliance with artists and cultural
7:44institutions to safeguard humanity due
7:46to the evil forces that Nick is
7:48perpetrating essentially impropagating
7:50with his with his heresy.
7:52Um,
7:54>> dude, is that is that yours or his that
7:56he's
7:57>> I made this one. I made this one. I
7:59thought cuz come on. Like where who else
8:00is this going to be about? Dude, I feel
8:02like I lit the match.
8:04>> You're beep you're beeping with the pope
8:05now, bro. This is outrageous.
8:07>> Do you know what my friend sent me? He's
8:08like, "There was only one man that I
8:10ever could have expected that could
8:12bring the lefties and the Holy Catholic
8:15Empire together, and it was you."
8:18I think every every political group,
8:21religion, and even world leader have
8:24united in hatred against NV.
8:28>> It's it's it's it's literally ushered in
8:31an era of of world peace guys because
8:34everyone hates it that much.
8:36>> Freaking hilarious, dude. I mean, like,
8:38dude, that's
8:40>> that's pretty cool. I mean, I used to
8:41live next to the Pope. If it was the
8:42same Pope, I could have asked him like I
8:43could have
8:44>> Did you really? Oh, like in Rome.
8:47>> Yeah.
8:47>> Yeah. That's funny. You know, no, nobody
8:49on the pod knows about like your Roman
8:51adventure. Very few people know that
8:52like you legitimately lived in Italy for
8:54years,
8:55>> dude. It was Yeah, I did. For a year,
8:56dude. It was um Papa Franchesco at the
8:58time. Very, very cool, man. Used to walk
9:00through there every day on the way to
9:01uni. It was It was cool, man. I think he
9:03would have um he would have lectured me,
9:05man. He would have thought that'd be
9:06great.
9:07>> Yeah, Franchesco, man. I I miss I miss
9:10him.
9:11>> Bless his heart. Nick, should we talk
9:13about Jev? Um, we got to talk about the
9:15Pope as well later on. And we're also
9:16guys giving away a Mac Mini or Cash
9:19equivalent today. Um, so that's going to
9:21be happening in a few minutes. We're
9:22going to talk about what's going on with
Cloudflare Clef decision models
9:24that. But then Jev is back for more Jev
9:27related things. Should we talk about
9:28Clefft and what is fresh with that?
9:31>> Let's talk about Que.
9:33>> Sorry
9:34targeting Jev. Dude, I'm going to get
9:36cancel. It's coming out Cle. So Clefft
9:39is Cloudfare's free to download decision
9:41model. picks amongst fixed options
9:43returns probabilities just like Jev. Uh
9:46Jev is basically the hosted version of
9:47it. You can grab it through open router
9:49and type safe that website. So before
9:51this month cloud had no release models
9:53in it category. It now offers cleft and
9:56the smaller cleft flash. I think flash
9:58has become the standard thing in the
9:59industry now. It's hosted model servers
10:01using the name software connection
10:03format as Jev. So builders can download
10:06both model files under a permissive
10:07commercial license. But Cloud Pair's
10:10five benchmarks win apparently, Nick, it
10:12is sending Jev to the bleachers
10:15allegedly.
The 38.8ms Clef-flash
10:16>> Yeah, I mean the main, you know,
10:17headline here is just how fast KFFT
10:19flashes compared to Jev. Keep in mind
10:22Jev was already touted for being
10:24extraordinarily responsive and just
10:26orders of magnitude better than like
10:28traditional large language models at
10:29routing and decision-m and that was at
10:31500 milliseconds. Cleft flash, which has
10:33come out less than 2 and 1/2 weeks after
10:35the initial Jev drop, is at 38.8 8
10:38milliseconds which is about 115th of Jev
10:42which was 115th of large language
10:44models. I mean the growth here is
10:45absolutely insane. So lots of
10:47optimization pressures going on. You can
10:49feasibly have you know a router based
10:52model like in your computer right now
10:54looking over every single place that
10:56your mouse moves on the screen and then
10:58predicting what apps you want to open
11:00simply based off of that. Um people are
11:03building these sorts of applications.
11:04You can have real-time painting of stuff
11:07using, you know, just voice
11:08transcription, real-time app
11:10development, simply using your voice.
11:12You can do eye tracking with this stuff.
11:13I mean, I mean, the possibilities are
11:14actually genuinely insane. So, I think
11:17we're going to see a Cambrian explosion
11:19of cool apps in the next couple of
11:20weeks.
11:21>> They are. And guys, this isn't a little
11:23nudge and a little nudge here, n that.
11:24This is a quantum I actually I didn't
11:26say quantum lip. I'm getting carried
11:27away. This is a crazy increase. I mean,
11:31Nick, we're talking at least 10 times
11:32faster. at least a 10x multiple in
11:34speed, probably 15x actually, which is
11:36crazy. So that's wild. One of the cool
11:39use cases people have done dynamic ad
11:41blockers, right? Like if you want to
11:43remove all the LinkedIn AI generated
11:45content, you can do that. LinkedIn ad
11:48swap buster
11:49>> deletes the entire
11:50>> basically a white becomes a white page
11:53that you scroll through basically.
11:55>> But but it's cool because when you can
11:57make hyper fast decisions four 500 times
11:59faster, actually 2,000 times faster than
12:01Astro, right? but is significantly
12:03cheaper. It unlocks new economic
12:06opportunities. So very very cool that
12:08we're getting this innovation in this
12:09kind of second class of model nomic.
Why task-specific models matter
12:12>> Yeah, it's nice. It's nice to see like
12:13more diversity. Um because I think a lot
12:15of people have tried to shove large
12:18language models which are basically
12:19round pegs into kind of circular holes
12:23if if you catch my drift. Like we've
12:25used them for virtually everything. They
12:26really are the hammer that makes
12:27everything else look like a nail. Um we
12:29use them for all sorts of dynamic
12:31routing. We use them for like our voice
12:32agents. We use them for text generation
12:35editing. But the reality is like you can
12:37train custom slightly different
12:39architecture models that are just way
12:41way way better. And that's really just
12:43you know what this was. This was an
12:44inroads to you know a world where
12:47artificial intelligence is soon going to
12:48be embedded in literally everything. You
12:50could have, you know, cleft flash or a
12:52derivative of it in your light and there
12:55could be a little camera connected to
12:56your light connected to cleft flash such
12:58that all you need to do is literally
12:59like look over at your light and your
13:01light would know that you want to turn
13:02it off. I mean, like the possibilities
13:04here are virtually endless. So, all of
13:07this model development could stop today
13:08and we'd still be weaving this into the
13:10architecture around us for the next
13:11thousand years.
13:13>> It's so it's so freaking cool. the the
13:15question you have to ask yourself cuz if
13:16you're thinking like okay I I like these
13:18use cases but what do I do the question
13:20to ask yourself is is there a task
13:22you're doing number one and number two
13:24can you map out all of the possible
13:28decisions in the decision because if you
13:30can it can be cleft it can be jev
13:33because je if you say look Jeb here only
13:35I it could only be 15 things I know that
13:38for a fact
13:39>> then Jev can be your main guy or cleft
13:41in this instance so
13:43>> it's cool Nick it's cool I think
13:44probably even though like we're really
13:46set and we're really we're kind of
13:48nerding out and I think this is still in
13:49nerd territory. This is not in consumer
13:52application like it's not like you know
13:54your barber Jason's not going to be like
13:55hey did you check out cleft they dropped
13:57yesterday like it's not quite like
13:59mainstream yet but this is a very very
14:02exciting update.
14:03>> Yeah. Yeah. I mean I feel like this is
14:05one of those things that's just like it
14:06it can't talk so it's like naturally
14:08going to be less interesting but it is
14:09extremely powerful.
Diffusion and other architectures
14:11Yeah. I mean it makes you wonder what
14:13else if there's a third category like
14:15what the next one would look like.
14:17>> That's pretty interesting. Um
14:20I mean like
14:22every everything so far is like based
14:23off next token prediction, right?
14:26Um well sorry I guess like actually
14:29there are multiple different types of
14:30models. So the models for images right
14:32now are called diffusion based models,
14:34right? So diffusion is like a
14:36fundamentally different process than the
14:37process that is occurring with large
14:38language models right now. And um it's
14:41basically where like you take an image
14:43and then you kind of like convert it
14:45into noise. So it's like a really noisy
14:47background and then you train the model
14:48on the difference between the image and
14:50then the noise and then you can reverse
14:52that and then generate any image just
14:53out of noise in a prompt. Really cool
14:55technology. Um but that like that's like
14:58the image models. They're using that for
14:59music too. So like Suno is using
15:01diffusion which is kind of cool. Um but
15:04like aside from that it's just large
15:05language models now this new decision
15:07router model. Like like is there
15:08anything else? No, I mean like because
15:10Jev is just a different output modality,
15:13right? It's like instead of text, you're
15:15getting binary basically and then you're
15:18right diffusion image. What is left? I
15:20mean, it's going to see we're going to
15:21see, dude. We're going to see what the
15:22hell's going to go on, but these are
15:24pretty exceptional updates. Um Nick, we
Weekly Mac mini giveaway
15:26also have an exceptional update for one
15:28member of the Stack Podcast. Should we
15:30Should we run the Rumble? Should we run
15:32the Suma? Guys, if you don't know, um,
15:35on the Slack podcast, pretty much the
15:37entirety of last month, every week, we
15:39gave away a Mac Mini or Cash equivalent
15:41because that's just how we do things
15:43here. So, we've got a link, we've got a
15:45giant sumo ring that you're all going to
15:47compete to fight on, and my last man or
15:49woman standing is going to win this Mac
15:50Mini. Some say some said we were mad
15:52men. They said we were crazy to do this,
15:56>> but I said we had to do it.
15:57>> I'm I'm one of I'm one of the they think
16:00this is insane.
16:02Let's start the drawing. We have 1,277
16:05entries from exactly 500 people. So
16:08median was about two and a half entries
16:10per person. Let's start the draw.
16:13>> So what's interesting on this is that
16:15your expected value is over there's like
16:17basically like a dollar per comment.
16:21>> Oh yeah, I didn't think about that.
16:22That's true.
16:23>> You guys make a dollar every time you
16:25comment.
16:25>> You basically make a dollar for
16:26commenting. Yeah.
16:27>> Yeah.
16:28>> Make a dollar for commenting. Yeah.
16:29>> It's like free money. The eliminations
16:31are are wild right now. So Nick, you
16:33you're wearing quite a cool uh colorful
16:35shirt, Nick. Do you share with the
16:36people what what is it? A special shirt
16:38today.
16:39>> Yeah, it's a special shirt. My uh
16:41>> what's the design?
16:42>> Mom bought my father and I matching
16:44shirts for her birthday. We're in
16:46Hawaii,
16:47>> so we uh went and we celebrated and holy
16:50[ __ ] dude. Talk about the fallen.
16:53>> God damn. Okay, final 17. Here we go.
16:56>> Then who we got? Oh my gosh,
16:58>> that was f That was a fast one. Ryman
17:00Y2K
17:01>> flew right by. Yeah, we got a Y2K lover,
17:04Ryman. Um, nice job, Ryman.
17:08Congratulations.
17:09>> I kind of want to like
17:10>> Congrat
17:12Have we ever watched this on 8X, Jack?
17:15>> Oh, it's fast.
17:16>> If I run this again, is somebody else
17:18going to win?
17:20>> We need to give them something though if
17:21they did.
17:22>> Yeah, that's true. So, I guess we can.
How to claim a prize
17:23Well, Ryman uh-Y2K,
17:26congratulations, my friend. my uh
17:30compatriate in order to claim your Mac
17:31Mini. If you could please update that
17:33very account, Ryman-Y2K
17:36such that we can see your email address
17:38on the account, Jack or I will reach out
17:41to you in the next 7 days and pay you.
17:43And we do have to do it this way, as
17:45unfortunate as it is, because we've
17:47we've actually in the last week,
17:48something Jack, I haven't told you, is
17:50we've had a lot of people trying to scam
17:51the stacked podcast.
17:53>> Oh my god.
17:54>> By pretending that they're one of the
17:55winners. And so we can't have that. So,
17:57you do need to update your actual
17:59profile. There are there is a lot of
18:01evil in the world. That's what Jack and
18:02I were busy fighting today. That's why
18:04we were 12 hours behind. Um, and so,
18:07yeah, just make sure that you actually
18:08update your email. Congratulations. We
18:11don't have a video from last week's
18:12winner, but we certainly will next week.
18:15Uh, how you feeling about this whole
18:16thing, Jack?
18:18>> I think it's good, man. I think it's
18:19crazy. We had the evil forces were
18:21trying to take stack podcast and we had
18:23to stop him with the with the bring in
18:25the Pope to get it done. Well, we got it
18:27done. We got it done in the end.
18:29>> Um I you know I I wonder like guys tell
18:31it down below in the comment this video
18:33like what it is that you do like I would
18:35love to know who's actually watching
18:37just like maybe what you do where you
18:39were. I just curious to know have we got
18:42doctors, engineers? Have we got like um
18:46cracked out 15year-olds who were trying
18:48to like build trillion dollar companies
18:51or do we have evil forces Nick? We have
18:53evil forces in our comment section
18:54trying to take us down, trying to take
18:55the Stack Podcast Max down there.
18:57>> So, do this way for a reason. And
19:00>> we're we're going to figure out what's
19:01going on there.
19:02>> Yeah, true, Jack. I couldn't help but
19:04notice there was that episode that you
19:05did solo and it got 10,000 views. And
19:08then there's the episode that I did solo
19:09and it got 12,000 views. What do we
19:13>> Dude, there must be about that.
19:15>> The algorithm must be broken, Nick. I
19:16don't know what's going on with that.
19:17>> Must be a broken algo. Yeah,
19:19>> we got we got we got to zoom out and
19:20look at all the solo episodes. I get the
19:22proper data.
19:23>> Yeah, for sure.
Sonnet 4.5 retirement and AI attachments
19:24>> Nick, that was the sour spot. Sonet 4.5
19:27was so wholesome indeed. I didn't know
19:30um so many people felt the same. I'd
19:32rather Sonic have stayed like that
19:33trying to compete with that person on
19:34coding haiku and speed. Nick, you want
19:37to bring people in with your thoughts on
19:38this friendly neighborhood chart badge?
19:40>> Yeah, it's unfortunate, but basically
19:42they're retiring sauna 4.5. Um and it's
19:45similar what happened when OpenAI
19:47retired GPT40. A lot of people had been
19:49using 4.5. They really liked 4.5 more as
19:52like a relationship sort of friend, you
19:54know, somebody to listen to the somebody
19:56with personality than a predictive
19:58coding partner. When Anthropic announced
20:00that they were going to retire it, a lot
20:02of people got angry and it looks like
20:03Sleeping Troubles is is one of them. So,
20:06it's a it's a wider conversation around
20:07how there are a lot of people using
20:09models not for economically valuable
20:10ends or at least not chiefly for
20:12economically valuable ends that keep
20:13using the old ones simply because they
20:15like how they sound, how they talk to
20:16them. M
20:17>> and when you retire one, it's kind of
20:18like, you know, putting taking old
20:20yeller out the back, putting him down.
20:23>> Yeah. And I'm not saying Sleeping
20:24Troubles is in a relationship with Sonic
20:274.5, but like you get these strong
20:30people do like they get like like either
20:33a AI buddy or like this is AI
20:36girlfriends, Nick, that have been built
20:37on models and they have a very
20:38particular communication style and then
20:40they got like dropped up and then it's
20:42like the whole world like completely
20:43changed. People People do build
20:45relationships and affinities with these
20:48models 100%.
20:49>> Agreed. Yeah. Grocky Grock Grock. Hey
20:53Claude, am I the Mac winner? Nope. It's
20:55shoulder day on your left.
20:58White House action. Okay, we're getting
21:00a lot of comments here. Ladies and
21:01gentlemen, this fella clearly wants the
21:03Mac Mini. Um, Maris hearing Fable 5.5
The Fable 5.5 rumors
21:06rumblings. Jack, have you heard of
21:08anything about Fable 5.5?
21:10>> I have not heard rumblings on Fable 5.5
21:13Pro, actually. No, I mean, are we just
21:14skipping out 5.234 these days? Like,
21:17what the hell is going on there? The
21:18heck is happening?
21:20>> Yeah, it's uh weird. Everybody's saying
21:21like, "Whoa, my Clawude Fable outputs
21:24have upgraded overnight. This must be
21:26Fable 5.5 and it's all over X." And I
21:29don't know if it's a big nothing burger.
21:32>> It's an unconfirmed rumored AI model
21:35social media users are claiming is being
21:37secretly tested and rooted behind the
21:39scenes by Anthropic.
21:42So they're think people are basically
21:43saying Nick that there's stealth rooting
21:45going on. Users in X and re Reddit claim
21:47Anthropic is silently rooting some user
21:49interfaces from 5.1 to a hidden 5.5
21:53fable back end.
21:55>> Yeah. Yeah. It's sneaky, you know.
21:57Allegedly.
21:59>> Allegedly.
22:00>> Allegedly.
Opinions on AI can change
22:03>> Dude, I commented just last week you
22:05needed to stop your sny your snarky
22:08sarcasm dissing Google. And now here we
22:11go. You're glazing Gemini. The hypocrisy
22:13is disappointing.
22:14>> Damn. It's almost like Gemini dropped a
22:17new model or something.
22:18>> It's brutal.
22:20>> I'd say guys, our opinions are subject
22:22to change based on information
22:24>> and they and they uh we don't we don't
Outro
22:26dislike any big provider per se, but we
22:29we make some moves and we have we have
22:30racy takes and we make magic happen. So
22:33guys, big huge congratulations to the
22:34winner. Have a beautiful and blessed day
22:36guys and we will catch you in the next
22:37episode. See you later.