Spotify Goes AI. People Will Be Furious. Plus, OpenAI Cracks An 80-Year Math Problem. - podcast episode cover

Spotify Goes AI. People Will Be Furious. Plus, OpenAI Cracks An 80-Year Math Problem.

May 22, 202628 minSeason 1Ep. 174
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Summary

Spotify's new deal with Universal Music Group brings AI-enhanced music and fan-remix features to its platform, sparking controversy among artists and paralleling a lawsuit against AI music generator Suno over copyright infringement. The episode also explores the rise of AI-generated films, like Higgsfield's "Hellgrind" at Cannes, and Google Omni's advanced video editing. A major highlight is OpenAI's general LLM disproving an 80-year-old math conjecture, signaling a profound leap in AI's problem-solving potential, alongside humorous examples of AI "slop" and a robot dancing fail.

Episode description

Thanks to HP & Intel for sponsoring us! More on the Zbook Fury https://bit.ly/4uapNHs

Spotify just made AI music official. They cut a deal with Universal Music Group for AI-enhanced and remixed tracks and we all know where this goes.

This week on AI For Humans, Spotify officially crossed the line. They announced a sweeping deal with record labels, distributors, and music publishers to bring AI music tools to the platform, complete with fan-remix features that use real artist voices and tracks. They also rolled out AI-generated personal podcasts and launched Studio by Spotify, a standalone AI creation app. Gavin and Kevin break down why this changes everything for music, who actually signs up, and why the fan backlash is just beginning.

Meanwhile, a Higgsfield AI feature film just premiered at Cannes for $500,000 total cost, but $400,000 of that was pure AI compute, raising big questions about what the new economics of filmmaking actually look like.

Plus, an unreleased OpenAI general LLM model disproved a central conjecture in discrete geometry that had stood for 80 years, the best new Google Omni prompts and practices and a humanoid robot fail that traveled the entire internet

IS IT TIME TO PANIC? NO, SAYS THESE TWO MORONS.

// Show Links //

Spotify's Official Announcement: Artist-First AI Music Collaboration

https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/

Billboard Coverage Of The Spotify AI Music Deal

https://x.com/billboard/status/2057479053649600917?s=20

Spotify's AI-Generated Personal Podcasts (Hollywood Reporter)

https://www.hollywoodreporter.com/business/digital/spotify-ai-generated-personal-podcasts-1236603314/

Higgsfield Cannes Film: $500K To Make, $400K Was AI Compute

https://www.wsj.com/cio-journal/this-cannes-film-cost-500-000-to-make-400-000-was-ai-compute-costs-a823b08d?mod=e2tw

The Impact Of AI In Four Charts

https://x.com/marcportermagee/status/2057000000000000000?s=20

Google Omni Horseback Riding Prompt

https://x.com/AIWarper/status/2057489859615605244?s=20

FoFR Animals With Google Omni

https://x.com/fofrAI/status/2057281646270026097

FoFR Rooster Dog

https://x.com/fofrAI/status/2057290425170616754?s=20

Clean Up The Alley Prompt

https://x.com/nmatares/status/2057143283357569280?s=20

Ogre Walks On Stage

https://x.com/maxescu/status/2057169603001004400?s=20

US Gov Poster Situation

https://x.com/usedgov/status/2056839488152670378?s=20

OpenAI Model Disproves Central Conjecture In Discrete Geometry

https://openai.com/index/model-disproves-discrete-geometry-conjecture/

Noam Brown's Post About The OpenAI Breakthrough

https://x.com/polynoamial/status/2057178198228586824?s=20

The Humanoid Robot Fail That Traveled The Internet

https://x.com/adamcurtisbroll/status/2057050384166764826?s=20

Ben Relles Launches Make Believe (Hollywood Reporter)

https://www.hollywoodreporter.com/business/digital/new-interactive-ai-startup-make-believe-ben-relles-1236602882/

Transcript

Spotify's AI Music Deal Unveiled

B

Fun fact, not a single person hates AI-generated music, and this is something Spotify knows, which is why they've done a deal to bring AI to their platform.

C

You'll be able to use certain artists' voices and tracks to create fan remixes, but who will actually sign up for this is a very big question.

B

Meanwhile, Google Omni, Seed Dance, and other AI video generators have enabled a$500,000 feature film to premiere at Cannes.

C

But the crazy thing is that$400,000 of that is just compute costs.

B

Ugh. Alright, fine. I guess traditional media can die. At least AI isn't messing with my sweet foundational mathematics.

C

Oh great news Kevin. OpenAI just solved an 80-year-old mathematic problem with just AI.

B

You know what? They're never gonna solve the Hyman hypothesis.

C

That one's hard Kevin, that's not what it's called, but this is AI for human.

B

What have I been looking up?

C

Nothing good, Kevin, nothing good.

B

We need deeper research.

C

No we don't.

🎵 Music

C

Welcome everybody. This is AI for humans, your twice-a-week guide to the wonderful world of AI and Kevin. Today we have an unusual story coming out of Spotify of all places. Spotify is making the move. They are pushing forward the AI media conversation significantly. We haven't done a deep dive on AI music for a while.

B

Maybe oh did they did someone discover the AI for humans podcast from like two and a half years ago?

C

They might have they might have also seen the growth in Suno, the most popular AI music platform. But let's just get very quickly into the deal. We know that there is a deal that was done with Spotify and UMG. And if you remember if you've been listening to the show for a while, Um G is the company that got a significant portion of Yu-Di Oh, which was Suno's original kind of like competitor and now is a label half-owned AI music platform. But Kevin, the deal here is the biggest deal

It's not out yet, but they are going to allow fan-made remixes of artist songs. And I can imagine there is a lot of people in the world of music. Who are pretty mad about this. There's probably a lot of people in the AI space who are interested in this, but in general, I think it's a pretty cool thing.

B

Uh we've we've been new, as those children say, Gavin. We uh We identified that there would be a market for this, that there'd be incredible interest for this. You and I were were making songs on our own using Authorized and otherwise tools. We're certainly not alone in that. There are people that have entire accounts and brands dedicated to this stuff. So we knew it was coming.

Certainly, someone is sharpening a pitchfork somewhere right now. At least it's opt-in. So artists literally have to express their interest in being involved with the the program. What I um, struggle with is that it mentions like this could be a great revenue stream for the artists and of course the labels and the distributors, which will

um get a piece as well. But it doesn't mention anything for the creator just yet, other than the creator might have to subscribe to use that tool on top of their Spotify premium.

C

Yeah, so

B

That's interesting.

C

Well, so I think this is a really interesting pathway into what AI media is going to be at large and maybe we can talk about that kind of larger conversation in a second. We should just very quickly say there are four principles that the Spotify group has said that they are going to kind of abide by. And this is not live yet. We'll get into a couple other announcements Spotify made with AI in a second, but the four principles are

Partnerships with labels, distributors, and publishers. So this is a business deal. This is something they're doing as a real business. Choice in participation, which I think we need to spend some time on, which means that the artist themselves has to say, checkbox, I agree to this.

Fair compensation and new revenue and then finally an artist fan connection, which is the idea that maybe this would drive con a closer connection to an artist. But Kev, I do want to talk about that artist participation part because I think this is a really big conversation right now. And we've also talked about the general pushback on AI at large, right? There's a ton of stories out there that say people are not fans of AI in general right now. My question to you is.

Do you think actual like living artists,'cause I think there will be a lot of like, you know, Elvis Presley's estate allows this, but do you think there will be a lot of living artists that agree to do?

B

A hundred percent. I absolutely think there will be some that that are violently opposed to it and some will um make very loud claims uh that they're against it and and try to, you know, rile their fan bases accordingly. But I think there were artists, as we know, very prominent ones, that were against digital downloads and streaming. Right. And then and maybe some of that was because

Um, the profit sharing or revenue sharing was non-existent, let alone not in their favor at the time. Like, okay, that I get slightly different argument, but there's always been a push and pull with technology. There are artists that would that said, I will never allow digital instruments on my records or I'll never sample because that's theft or whatever. So like over time I think more will adopt it. Um your thoughts?

C

Well, I think in general you're gonna see a lot of uh, what do they call it? Um, uh grandstanding in some ways. I and I don't necessarily think that's a bad thing. I think a lot of artists are just gonna be like, my fans are gonna hate this. I'm never gonna do this. It seems like a a mistake for me to do. I think we're in that place right now where it could be like a massive PR flub for the first person to do it.

I do think people will do it. I think the thing I keep coming back to with AI music involves the nineties and the sampling culture. And I think we've talked about this on the show a little bit, but I was a giant fan of nineties sampling music. I grew up in the era where like hip hop could basically sample everything.

Uh um one of my favorite hip hop groups of all time is De La Soul, whose music wasn't allowed to be online for a long time because some of the samples were cleared. And this just the amount of money it took to clear a sample was crazy. In fact, my favorite story in that world is that, you know, uh P. Diddy, who now has gone on to an entirely different life i i in a different place. But he gave all of the music rights up to Sting for one of his hits because it sampled a big chunk of his song. So

Sampling was originally this thing where everybody was mad about it and then ended up paying a lot of artists, especially older artists, uh, whose music was sampled for like old jazz artists and stuff. So I do think there's a world where we can work through this thing. I don't love the label aspect of this only because, you know, the music industry is famously uh in fact going back to old hip hop. Predatory it's been a thing forever that it's predatory. So I'm not sure.

that I love the labels doing this, but it does feel like an evolution of what we've been talking.

B

Uh one thing that you said there which is interesting is that uh I agree with the grandstanding, that's what I mean about artists like planting a flag and screaming from the mountaintops, never with my likeness or rights. And I do

C

Chaperon, I probably guessed Chaperone will not allow this. People like that who have very active fan bases who I think would give very

B

Well this is what I think is interesting, is that uh certainly there's gonna be some artists, capital A artists, that say, No, I don't want that. I think the I think I I don't want to say a majority, but I there's going to be a large portion of artists that might be really interested and curious in this but won't do it because of the fans explicitly. Like they might actually want that, but they're so concerned about the backlash from the fans, which I get.

I've been showing up to commencement speeches, just randomly going from college to college.

C

Is that right?

B

Anytime there's an AI mentioned. Yeah, it's just it's fun. It's fun to be toxic sometimes. But you talk about like this could be again with the With maybe with the labels being slightly less greedy somehow in the future. This could be a big uh revenue opportunity for artists, right? A a chance for fans to connect more. I wish the fans got a chance to get a taste of that, which is something that I've

said that they should do, especially if the fans have to pay for the privilege to remix, which okay. But

AI Music Lawsuits and Spotify's Other AI

Not everybody is happy about AI music when it comes to monetization. In fact, Suno is being sued right now, Gavin, by Poseidon Wave Media, which is okay an entity that that is behind an indie band that I really love, uh, called the American Dollar. And they're claiming that they nearly eliminated their licensing revenue Suno. Wow. Basically crushed it. They're saying that that um Um it's here. The the full lawsuit basically says um this is uh an article out of music businessworldwide dot web.

C

I love that's my favorite website of all time. I go to it every day.

B

It's so fun to say it rolls off the tongue. It's how I do vocal warm-ups for our podcast. But when I go to Music Business Worldwide Web.net Uh the full thing, it covers two hundred and thirty-six sound recordings and compositions across 164 U.S. copyright registrations. They're basically saying that since Suno ingested their copywritten tracks, 80% of the the duo's licensing revenue has been wiped out. Like it's it's a night and day thing.

C

So I have a question about that, which is and I think this is gonna be a big conversation across all these things going forward, is that like there then that that lawsuit essentially is about the training data that went in and that because the training data went in. that they somehow have lost revenue. I guess the question is like the hardest thing for these things always to prove is does the actual output sound like their music or is it just because there's this kind of flood of new stuff?

Right. That's I mean this is where it's a good idea.

B

Yeah. Super valid question. Like I I have used personally I've used Eleven Labs music and sound effects generators instead of going to like certain libraries because

C

Oh, for sure.

B

specific thing that I want. So I know that, you know, it's not because uh well, maybe it is because some of my favorite sound libraries have been swept into the eleven labs machine. I don't know. I don't know. um how dirty the data set with Suno is, but it does say the complaint claims that um outputs replicated the rhythmic structure, production, and delay based temporal architecture. And by the way, if you're like an American dollar nerd, like you understand how that describes.

C

I don't know.

B

One of those guys. Yeah. But it says Quarries referencing anything you synthesize, which is a super popular song by the group. Everybody should listen to it. Um, They it said it produced uh uh recordings with titles that are near it and it shared the same structure. So interesting. It yes, was it in their secret sauce? I guess we're gonna find out through the loss.

C

Well, what's so funny to me is we we've talked about these companies and the lawsuits and like they do seem to like some of these are bubbling up now and I think that now Spotify's doing this deal, this is gonna come to the forefront. A couple of quick things about Spotify's announcements this morning. One, they've also announced personal podcasts. So, Kevin, they're coming after us. They're coming after us. If you're listening to us, just know. We're here humans for you.

B

You can't replicate

C

Get us, you can't get us personally.

B

Listen here. Okay.

C

You don't call them.

B

No, Todd, Spotify. No, not Spotify. Unless Spotify, unless you want to like sponsor this podcast and put us up next to Rogan and Richie. I take it back.

C

I'll help.

B

Build a data center so that you can rip this off.

C

Let's tell people with personal podcasts is this idea that you could collect things that you want to hear about, right? Whether it's an article or stuff like this. Other companies have been doing this. Notebook LM is kind of doing this, but this is Spotify. putting it in your feeds. That's a bigger deal. This also comes out of Studio for Spotify, which is going to be a standalone app, which will enable a lot of these AI features. And it's an add-on. So it is not a free add-on.

It's gonna be part of the actual cost addition to your Spotify ticket. So another use everything sounds good to you. Sounds great.

B

Oh I love it. I can't wait till Spotify builds me custom recipes. It helps me automate my smart home.

C

Spotify.

B

That's what I'm saying. Like enough. Enough. I don't need direct payments. I don't need a Spotify avatar to wear the latest Spotify threads to give me Spotify achievements. Enough. Like they're I'm they already charge too much when all this slop Starts charging fifteen dollars more so I can get an extra notebook LLM podcast about whatever. I can't wait. Give me a reason to like Apple Music. Oh yeah. Plus that disco ball icon.

C

Hey, wait, wait. We've heard about them as a relax, relax, relax, relax. Remember Spotify might eventually wanna answer uh uh wan might eventually

B

It was fun. That's valid. Uh you know what? Their AI DJ is great.

C

Great. Fantastic. I and and the jam session, amazing. Okay, real quick before we move on, there's another big story coming up, but um I do want to share this chart that's really interesting. And it was from shared from uh Mark Potter McGee, who I think probably stole it from somewhere. We'll try we'll try to see if we can find it somewhere.

This just shows the impact of AI. It says in four charts, and the four charts are more books, more self-represented lawsuits, more music, more scientific pr papers. What it basically shows is that after Chat GPT and after this sort of uh explosion of AI stuff, that we're just getting more of everything. And we've talked about this before. A huge part of the future of media is going to be more. And how do you kind of discern what comes to you?

And will people care that stuff is AI generated or not? And I think that's a big thing.

B

And and more doesn't necessarily mean better.

C

No, it can mean way worse.

B

Yeah, I think it's proving way worse with like books and whatnot. But it would be interesting. Can we also get a chart where we um see where uh Brian Johnson's like nocturnal erections have grown? I'm curious if Look, data is everywhere, Gavin. I bet we can get it.

AI in Filmmaking and Video Editing

C

Another thing that kind of points to this kind of crazy media space is this announcement from Higgsfield. Now, Higgsfield, we've talked about on the show for a while. They're a company that provides a lot of AI models. They have brought a full-length movie to Cannes year. And if you're not familiar, Cannes is

B

Hellgrind, Gavin. Hellgrind is a ninety-five-minute fully AI generated film.

C

Yeah, so

B

Cooler description of it in the title of the Wall Street Journal Article, but there's not

C

So Hellgrind is this film that like Higgsfield kind of like organized and put together with a bunch of AI artists and they brought this thing. It's ninety-five minutes. It's all generated by AI. The interesting thing here is that Higgsfield is very good at making PR and that's clearly what this is. The Wall Street Journal wrote a long piece about it, but Of that$500,000,$400,000 was on compute. So that's the cost to pay out to like, say, C dancer, to an omni model or all this other stuff.

Kevin, I think that's really interesting to think about what that means if this is a feature length movie and say I don't think we're I'm no one knows if this is good or not. I we haven't seen it. But like imagine a world where you can start making feature-length movies for five hundred thousand dollars. Now There's all sorts of like guild and all that other sort of issues, but we're also gonna get a lot more movies, right? We're gonna get a lot more movies and a lot of probably bad movies, but

As you and I were both raised on the kind of direct-to-video or the VHS model, where there's all these movies that like maybe didn't do well in the movie theater, but you saw them on TV or you see them in a movie store, it will be really interesting to see what movies get made in this world and like which ones people will respond to.

B

Yeah. I I I mean, are you gonna watch it? I mean that's the

C

Oh definitely watching. So curious. That's the question, right? Like, and I think that's the big question everybody's gonna have is would I actually pay to go get a ticket for this? Would I would would Netflix or any of the streaming services pay for it? Because I think that's where the question will really be.

Sure, I'll I mean, uh by the way, I watch it as a curious person who's interested in AI stuff, but like if it's good, I think I would watch it. I mean, you know me, I have very low toler I have a very low tolerance for AI slop at large. Like I enjoy watching sloppy stuff, but

If this is good and it's interesting, then of course I think people will watch it. But again, it goes back to that thing of like who's paying for it, who's making the money. These are the kind of like swirling questions around AI media that I don't think we have solved or are we even coming kind of close to solved.

B

I'm gonna send you this here, Gavin, because you know, when people talk about AI slot and how the machines will never replace human ingenuity and it's just it's it's nonsense and we would never have that. Do you wanna you wanna sh share with the audience the link that you just got sent?

C

Kevin just sent me the link for the movie that's called Balls Up, and it stars Mark Wahlberg. You may have heard about this on

Amazon. The tagline for this is in this raunchy over the top comedy, marketing executives Brad, Mark Wahlberg, and Elijah, Paul Walter, Hauser go balls out and pitch a full coverage condom sponsorship with the World Cup. So Yes, Kevin, this is kind of a sloppy movie on its own for no pun intended there, but like it is definitely something that feels like it could have come out of Charlie Curran's uh uh brain, which we've seen him do this amazing.

B

Here's the thing. Yeah, exactly, exactly. You could have made the trailer for this with Mark Wahlberg, Sasha Bear Borat is in the movie, Gavin. You could have released it on X, you could have seen the way people recoiled, and you could have saved a lot of time and money.

C

So there you go. AI Slop is uh alive in regular slop is also alive. I do want to quickly shout out before we uh move on from AI video stuff. The Omni model, the Google Omni model, which we covered on the show on Wednesday, is fantastic. It's super fun. There's been a lot of people who've been kind of up and down on it. I will say personally, I don't think it tops the C Dance 2 model just from a pure

video model. But Kevin, the coolest thing I've continued to do with this and people are out there doing with it is editing videos. And I do just want to share a couple of really interesting examples of the editing prowess of what this can do.

Uh AI Warper, who's been doing some incredible videos lately, basically added his avatar or her avatar. I'm not really sure what uh where AI uh warper puts themselves on these on the spectrum, but Uh there's a female avatar, and you see the female avatar riding a horse that they added directly to this video of a horse riding around, which is very cool.

FOFR, who works at Google now, continues to do interesting videos with this. He made a panda dog, which I really loved, and a bunch of other animals.

B

Did you see I don't know if you saw Rooster uh Rooster Dog? Um

C

No, I don't know if I did see Rooster Doc.

B

So if you haven't seen Rooster Dog, it's worth a special shout out. The way that it gets the tail wag and motion of the dog walk combined with the rooster's sort of jutting head movements, that I that's that's actually pretty impressive.

C

That is amazing. That's a amazing to see. A couple other quick ones here. Nick Matrice actually showed off what it can do in terms of like just taking stuff out of a scene. He cleaned up an alley, which was really a cool thing to see because

Basically he got rid of a couple pallets and a bunch of garbage in the alley. And this is a really useful thing if you're gonna be doing edits. If you're gonna even by the way, if you're not generating all of it with AI video, you can imagine a world where a quick shot replacement thing

is a really big deal here, like for normal video editors. The final one I want to shout is this is this video from Alex Petroscu, which is kind of a follow-up on some of the stuff I saw the Google team sharing where you're actually adding something to a real life scene. And this is for people on stage.

at Google IO and an ogre walks out behind and just seeing the shadows that the ogre casts on the wall, you can just get a sense of like we are very close to this stuff feeling like things you could see in a movie or you could watch a whole movie of. So it's a pretty big deal.

B

A hundred percent. And then make it, you know, near real time,'cause that's going to come, right? Then put it in glasses and now suddenly the magic leap demos that we love.

Government AI Slop and Powerful Hardware

What 15 years ago of they could actually be real? So I think that's that's really impressive. But on the other end of the impressive spectrum, Gavin, we've got the US Department of Education. Did you

C

See I posters? Yes. I don't know why the government, with all of its ability to do things, doesn't at least kind of turn up the knob on the thinking mode a little bit. But this is a poster that was released as a way to get people to kind of try to do plumbing jobs and it's the worst possible version of what plumbers both look like but also what they're working on. Like this I would not hire these plumbers because they have put too many pipes on this sink. There's way too many things going on.

B

All the tools are completely broken. I mean, at least they have uh an appropriate number of fingers, I suppose, but outside of that everything is just pure slop. That is it was gross and embarrassing, Gavin. That's all.

C

You know what? It's also okay to try a bunch of different things. And one of the greatest ways, Kevin, to try a bunch of different things, especially locally, is to have a great computer that can do all sorts of stuff locally for you, just like this. Most laptops make you choose. You can edit video.

You can run an AI agent or you can have 40 tabs open. The HP Z Book Fury has a completely different idea, which is why you're choosing it all. Just do everything. Huge thanks to HP and Intel for sponsoring AI for humans this week and lending us this absurdly powerful machine. Look how big it is. So here's what I tried on one session.

on one laptop. I cut an episode of AI for humans in my video editor. I had Claude Code running a side project in another window. I ran a local Quen 3 8B model in the background for research. I generated thumbnail options in comfy UI, and I had a blender window open prototyping a 3D set and nothing stuttered. The Intel Core Ultra 9 V Pro processor is doing the real heavy lifting here.

It's the reason that multiple AI workflows can be running side by side without the machine throwing a tantrum. And the NVIDIA RTX Pro Blackwell GPU eats 3D rendering and Image Gen for breakfast. And with the 256 gigabytes of RAM, that means I can just keep. piling stuff on and the laptop just kind of shrugs which is fantastic because it

Freed up enough time for me to generate what I've been most excited about, which is a virtual raccoon watching it. It tracks virtual raccoons, it rates their behaviors, it alerts me when one of them is doing something especially troubling. I built it while doing literally everything else that I mentioned. That is the point. When a machine is is capable, you stop pruning your ideas to fit the hardware.

There are some ideas that should be prune. That's the Z Book Fury. It can do whatever you were going to do today, plus all the dumb side quests you actually want to do at the same time. Check out the link in our description to spec out your own Z Book Fury and thank you to H.

HP and Intel for sponsoring AI for humans. All right, Kevin. The other thing we need people to do is like and subscribe. We had a really fun show last week. People hyped us up, so keep hyping us. We actually what did we hit the hype charts? Is that what I heard? That was like a thing that that somebody told us, right?

B

We literally

C

And you can do it.

B

Drop for that if you want, by the way. Will I dunno by the way, we don't call you big Will and text threads behind your back.

C

going to now.

B

But we're gonna start. So uh shout out to Will, who said, Hey, your video was actually hyped into my timeline this morning. So y'all are just a delightful.

C

Uh

B

uh Legion and we appreciate your support because we're we're we're winning hearts and eyeballs and taking over screens one device at a time. So thank you for the comments, the likes, the five star reviews, and that sweet algo juice.

OpenAI's 80-Year Math Problem Breakthrough

C

That's right. Juice us up, baby. All right, Kevin. There is a giant story that is very nerdy that I do think is really important to make sure that everybody listens to us, but also you can spread out further because We actually have had, you know, all these models get released and we're always talking about the benchmark boys and all that stuff and like what it can do. But at the edge, at the frontier, what these models are starting to be able to do is pretty incredible. And

This is a story that OpenAI dropped yesterday. My favorite thing is there's a there's a video that is that kind of went along with this of like these three mathematicians who work at OpenAI just being like, I can't believe it did this. But it basically solved An 80-year-old math problem that previously had not been solved. This is specifically, I'm gonna say the headline of their blog post because it's very nerdy. An open AI model has disproved a central conjecture in discrete geometry.

And this is one of those airdose problems that we have a while that some of these are getting better at. But the big thing here is that in the past it has kind of helped the scientists or the mathematicians get to an answer. The big thing here is that it got to the answer. And Kevin, I I know that this like we're a show that tries to disseminate this world for the masses and kind of help people understand. How would you kind of like tell the normal person why?

B

Well if you let if you let P be a finite set of different points in a two dimensional Oh, um AI, LLMs, large language models, your chat bot. Uh people have screamed it's a stochastic parent.

Yes. That means it just takes statistics, rummages around, and spits out words. It just parrots things. It doesn't actually know what it is doing or solving. Well, this is kind of one of those signals where It is it is maybe it is a stochastic parrot, but it's um it hasn't heard Polly wanting this specific cracker before.

C

Yes, that's exactly that's very good.

B

Using yes logic to solve something. Um and again, if means P is a set of points in that flat two D plane, then the means pick any two different points from P and don't counter order. So Parenthetically, PQ is the same as P, space.

C

Okay. I'm not gonna check that math, but I'm just gonna assume you're right. Let's just very quickly hear from Noam Brown, who was the guy uh who's at OpenAI that's working on some of this stuff. I wanna just shout out his tweet. He said

Today, we're sharing a general purpose internal open AI model. Achieved a breakthrough with one of the best known combatorial geometry problems. Less than one year ago, Frontier AI models were IMO gold level performance. That's a big kind of test to see how they can do.

I expect this pace to continue. And then he continued on and said, This is a general purpose LLM. It wasn't targeted at this problem or even at mathematics. It was not a scaffold. So the important thing to know about this is they did not create a model.

specifically to solve this problem. So one of the things that people always talk about with with AI is like what Demesis Abbas did when they Alpha Go was a very specific model designed to play Go. And it was still crazy that it was able to make, I think it was move

fifty two where there was a specific move where it took this big leap and it showed off, oh, maybe you can do this stuff. This is the kind of model that eventually you will get access to. Some people are saying this is GPT five point six. It might be a bigger model than that, but yeah, this is the kind of opening of the door. to AI solving the bigger issues. And when I say bigger issues, it's things like fusion.

Cancer, all of these things that are the large promises that AI has had for a while, we are finally starting to see glimpses of that coming through, which is very exciting and also kind of scary, right? It's kind of scary because it just means that like

This is gonna change. Everything is gonna change. I've had a couple existential moments after reading this. I was like, I don't know if we're ready for what this what comes from this. Like, I don't know what it means. So that's the that's the thing I'm coming out of this with. I don't know what it means for the world.

B

But let's go. Let's go. I mean honestly, like as as exciting as it is to discuss like lawsuits over the tsunami of reggaetone Taylor Swift covers that are gonna be you know, unleashed on Spotify and that oh yeah you can you know generate bears writing skateboards, but it's gonna destroy Hollywood like Yes, there are serious questions and whatnot, but like the promised future was

was maglev vehicles and teleportation and the eradication of all human disease and extending our lifelines. Like, let's go. Like I do agree with Demis who was like, I wish we would have solved cancer before we did like chatbots. This this is the kind of signal that we need. And I know unfortunately, human beings, fallible as they are and imperfect as they are, they will wield these capabilities.

A lot of really terrible things. But I really I really hope this signal to the noise is a lot of positive stuff and solving con With our science and I'm sorry, are you got are you hearing the Taylor Swift reggae tone cover right now?'Cause it's

C

But I'm sure it's not.

Humanoid Robot Fail and New AI Ventures

Copyright finding. I do want to shout out before we go, if you want something on the other side of this platform, there's an amazing video that we'll just show here that's been traveling around the internet. It's gotten bigger than everywhere, of a unitary robot attempting very much to try to Dance to Billy Jean. We won't also play that. But please find this video if you haven't seen it already. It's another one of our favorite videos of just, you know, we're not there.

And the robot is there trying to dance. It falls down, goes on its side. And it's just like another good example of the long gap that we have to get to this amazing future we've all been promised. Before we leave, I want to shout out Ben Rellis, a friend of ours. Uh he's got a new company that's launching. I'm doing a little bit of work with him on it, but also very excited for him. He's launching a new company called Make Believe. And we will see you all next week.

B

Gavin, wait, hold on, you can't just say that insider trade me, Daddy. How do I play this on poly market?

C

There is no. Kevin. AI media and AI interactive avatars really is what Ben's working on, more than anything else. But really cool, interesting stuff he's doing. Uh, he's been working with Reed Hoffman for a long time and worked on things called Reed AI, which Reed was a very specific. Active Avatar. Anyway, it's gonna be a cool thing, I think, going forward to have uh more people that are smart and good and have experience. Space. So look for more from Ben. Uh

B

Okay, so let me connect my wallet. So is it like they're gonna release the first

C

Yeah. All right, bye everybody.

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