WEBVTT

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Welcome to the AI Chat Podcast. I'm your host,

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Jaden Schaefer. Every day I cover cutting -edge

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AI news and talk with the leaders behind it,

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breaking down what it means for your life and

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business. I think there's some pros and cons

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to this. I actually make AI -generated music,

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and I make about $2 ,500 a month from it. So

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I want to tell you a little bit about what's

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going on with this case. Merendil is signing

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a $100 million Google Cloud deal to train self

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-improving AI. And Google Maps is turning Ask

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Maps, that kind of button that they have in there,

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into an agent that orders food. It can book hotels.

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It's going to be able to do way more than just

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asking Google Maps something with Gemini. AI

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moderation is not always perfect, and recently

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it has hit Reddit. discord and tumblr on false

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positives also a company called naive has just

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raised 28 .5 million dollars to let ai agents

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spin up and run entire companies i wanted to

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do a startup spotlight and they've raised almost

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30 million dollars this is an interesting one

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on the podcast i talk a lot about different models

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that you may not have tried like mistral from

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france cohere from canada deep seek from china

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and Grok and Perplexity and even Meta's AI, which

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just came out with a bunch of new coding features

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and a new coding AI. Now, my question to you

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is, have you tried all of these different AI

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models? Because if you want to, it typically

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is going to cost you $20 to get a subscription

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to all of those different platforms. And I will

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be honest, some of those models are better at

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answering specific types of questions than others.

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For a lot of what I do, I use Anthropic and I

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use OpenAI and I use Google as some of my main

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powerhouses, but I use some of the other models

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for different tasks. DeepSeek, honestly, for

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example, is something that can get things done

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very fast and very cheaply if you run out of

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your token credits. I would love for you to check

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out all of those different models and try them

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all and compare them all side by side for your

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next project or your next question, just to see

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what the results are. If you want to try that,

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go check out AIbox .ai, my own startup, where

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you can test over 80 different AI models. And

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you can also do a bunch of different image, audio,

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and video models as well. You can compare all

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of the results. side by side and pick what your

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favorite one is. If you're working on a new ad

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or you need to create a bunch of new Facebook

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ads, for example, you can get different video

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models to create the same prompt. And I've tried

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this and been pretty impressed with different

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things like Sora versus Google VO3. And you can

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actually run those different ads side by side

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against each other in Facebook to see which one

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converts the best, but you can also see them

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side by side. So if you want to go check it out,

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it is $8 and 99 cents to get started on AI box.

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It's super cheap and you get access. to over

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80 different AI models. I'm going to leave a

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link in the description to go try it out. Suno

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is now rolling out the new watermarking and they're

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doing audio fingerprints for their AI music generator.

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This is something that I use all the time. I

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love Suno. I've made tons of music there and

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actually make $2 ,500 a month from my music catalog.

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A ton of it is either AI generated or it's just

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AI empowered. So I do a lot of meditation music

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is like my niche. I started it in college. And

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so I'll still drop albums on there every once

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in a while on the weekends. And in order to do

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that, I actually just use Suno. to generate the

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meditation music in the background. And it's

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my voice. I'm talking over top of it. But yeah,

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from that, I still make $2 ,500 to $3 ,000 a

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month, super, super passively. And it's kind

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of a fun side project. But something that is

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happening is that a lot of different lawsuits

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have been leveled against Suno. And to be fair,

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I think they did scrape out a ton of different

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people's music that wasn't licensed properly.

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Now they're getting sued. I think they made a

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settlement with Warm Music Group. And the other

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part of this whole settlement is the goal to

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try to stop low quality AI songs from flooding

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Spotify and Apple Music without disclosure. So

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without people knowing that they're AI generated.

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Deezer apparently has a tool that can detect

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AI generated music and it's removing any AI generated

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music from its platform that doesn't get a certain

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threshold of streams. So if it's a popular song,

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they leave it. But if it's an AI generated song

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that has no streams, a bunch of people are just...

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posting it, they're actually cleaning it off

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the platform, they just don't want it on there.

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So in this deal, and what soon is rolling out

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right now, downloads are soon going to be restricted

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to paying customers, there's going to be a monthly

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cap on how many you can download. So I think

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people were downloading like 1000s in a month.

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And that was causing you know, issues when you

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try to upload 1000s a month to Spotify, it was,

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you know, very spammy. So there's a monthly cap.

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And if I'm being honest, to me, I don't think

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this is gonna this doesn't really bother me,

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I don't make an insane volume of music. And I

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think it tends to be better when you make an

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AI generated song, which I'm not against, by

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the way, if you make AI generated music, I think

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spending a lot of time doing multiple regenerations,

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mixing your different bits of the song together,

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doing covers of something. So like a lot of times,

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I've done stuff where I'll play something, I'll

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upload the file of me playing, maybe I'm not

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incredibly good pianist, but I might play a little

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melody, or I had my son, he made an entire guitar

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album. or he he plucked some little tunes on

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a ukulele and had it turn into like this relaxing

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guitar album that he gets a bunch of streams

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from. So I think that's like a great way to go.

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But you don't need to do crazy volumes for stuff

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like that. So when they're putting this kind

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of monthly download cap under it, I'm not super

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worried about that. That is all in the terms

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of this lawsuit that Suno has settled with Warner.

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This all kind of they made this deal last year

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and it's starting to roll out now. Udio has another

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settlement with Warner Music Group, and they

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are ending downloads entirely, which basically

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makes Suno's approach, keeping downloads but

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gated behind a subscription, a much better outcome

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for its business. With Udio, you can't even download

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your music anymore. So Suno, you can continue

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to use it for generating music. I'm happy that's

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the platform I've invested in the most. And then

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they're both doing watermarking, which basically

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lets distributors like Spotify or Apple track

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which ones are AI. generated when they're actually

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uploaded right now, there's a there's like a

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little personal opt in. So when I'm uploading

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stuff, it's like, is this partially AI generated,

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completely AI generated, or no AI generation

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at all, and you have like a disclosure on there.

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And it's kind of voluntary, but you know, there's

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nothing that enforces that no one's actually

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able to tell. And so this, they're actually going

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to be able to do that. I think streaming platforms

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right now have started to purge AI tracks that

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are just trying to get farmed royalties, there's

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a lot of spam and stuff on there. But to be fair,

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I think you do Spam in, you know, even even before

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all of this came out, the old tactic that the

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spammers would do is they would just go find

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like random obscure YouTube channels that would

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publish good music. Right. Maybe you're like

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not very famous on YouTube. They would rip your

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stuff and they would upload it like like their

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own. It was just on YouTube. It wasn't already.

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They try to find something that wasn't already

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on like music platforms. And then they would,

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you know, you could do there's all sorts of spam

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where they would like make it the same name as

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an artist that actually exists. or they would

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put like keyword stuffing in the title. Like

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there's a whole bunch of stuff that those people

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would do and try to release thousands of songs

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that way. So I don't think like. the spam element

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of it and the AI gets a little bad rep for it.

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But the spammers are going to spam and they've

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been spamming for a long time. Maybe this made

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it a little bit easier. But at the end of the

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day, I think we also need separate like spam

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control tools. And I think the platforms have

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been working on that and are working on that.

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So hopefully that will continue. Merendil is

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a startup that was founded by some. alumni from

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Anthropic. They just signed a $100 million, I

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actually think it's even more than that, but

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about $100 million deal with Google Cloud to

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train self -improving AI systems. This deal they

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put together is about half the startup's entire

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seed funding. So I think they were able to get

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$200 million. They gave $100 million of that

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straight to Google. And it is a huge bet on compute

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hardware to build AI that can iterate, improve

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itself, and automate research. Specifically,

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think they're going to be working on medicine

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and biology. Their software has a bunch of different

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stages of AI self -improvement, and it's going

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to be basically routing those to whatever chip

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works best. So Google's TPUs or NVIDIA's GPUs,

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it's going to let the startup kind of optimize

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the costs and also potentially resell the orchestration

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layer to customers. It's something they're going

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to be able to make money from. The co -founders

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are Benham Neshaber and Harsh Mehta. Both of

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them came from Anthropic, but they're not the

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only ones working. on this, their two main competitors

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are going to be recursive superintelligence and

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recursive intelligence. Both of them are basically

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doing the identical thing, this kind of self

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-improvement approach. They closed their startup

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round in late June at a $1 billion valuation.

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So this $100 million compute deal is very aggressive

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spending for a company that's brand new. They

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just closed a seed round to give half the money

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away. Their bet, I think, is showing that recursive

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self -improvement is they're trying to move this

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from just being this kind of research idea. to

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an actual engineering problem and they think

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that the real moat is controlling the software

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that the orchestration and orchestrating all

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of this between expensive hardware and it's probably

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not compute that's what they're saying so i'm

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curious to see where this goes Google Maps Ask

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Maps Assistant can now order food, book hotels,

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and buy event tickets directly in the app. I

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love this. I think that Google obviously has

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some incredible assets and adding AI in a really

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thoughtful way makes them much more useful. I've

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been excited by how they've added AI into a lot

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of the different platforms and tools. I think

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they can do better in others, but with Maps in

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particular, it's kind of cool because, I mean,

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you have so many different businesses on Google

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Maps, you know, of like having like hotels and

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restaurants and everything, Google Maps really

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could turn into like an Airbnb, for example,

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where you're like, you're searching how to get

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to a certain city. And then all of a sudden,

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it's like, well, here are all of the hotels in

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that city, and you can go book it there directly.

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They're already kind of competing with Expedia,

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or you can compete with Expedia in a way like

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I've, I've searched and found, you know, depending

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on if I'm just in a certain geographic location,

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like what's the closest hotels around me, I've

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seen them on Google before, or sometimes I'll

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Look them up on Expedia and then go look up Google

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for different reviews or different things. So

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I think they have an incredible asset there.

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And now you're actually going to be able to use

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their assistant, their Ask Maps, to go and book

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all of this stuff. And it's not just hotels.

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It's also events. It's also tickets and food

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and all this other stuff. Really, really cool.

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You won't have to leave the actual Google Maps

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website. It also is able to read your Gmail and

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your calendar to personalize suggestions. It

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can recommend restaurants near your hotel or

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it can tell you when. your flight landing time

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is. So when you're actually going to book in

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a hotel, for example, it can put in the correct

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time or give you a good check in time. Food orders

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are all going to run through Square, Toast and

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Uber Eats. So it's not like, you know, I heard

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a lot of people like when they first heard the

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students were like, oh, my gosh, is it going

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to go kill Uber Eats? I think they do a lot of

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partnerships. Now, those partnerships, of course,

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are subject to them just deciding one day they

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don't want to do that particular partnership.

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But I think we can be pretty confident for antitrust

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reasons that probably won't happen. I remember

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when Google Flights came out, a lot of people

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were concerned. And to this day, if you go search

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Google Flights, you're still going to get recommendations

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from a ton of different travel sites below. So

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it didn't completely kill that entire industry.

00:11:38.370 --> 00:11:40.990
Personal intelligence, which is the Gmail and

00:11:40.990 --> 00:11:43.450
calendar feature, is going to ship by default.

00:11:43.549 --> 00:11:45.750
It's going to avoid a lot of the friction that

00:11:45.750 --> 00:11:48.210
apps have about sharing your personal data or,

00:11:48.250 --> 00:11:51.009
you know, going and syncing an MCP or syncing

00:11:51.009 --> 00:11:53.690
some sort of API or connection to Google or Gmail

00:11:53.690 --> 00:11:56.389
or your calendar. It's all built straight in.

00:11:56.509 --> 00:11:59.029
Ask Maps now remembers all of your past conversations.

00:11:59.029 --> 00:12:01.610
So if you ask, you know, what activities did

00:12:01.610 --> 00:12:03.350
you suggest for my Seattle trip? It's going to

00:12:03.350 --> 00:12:05.129
remember whatever you're talking to it about

00:12:05.129 --> 00:12:07.509
in the past on Gemini, and it's going to pull.

00:12:07.690 --> 00:12:10.029
that up. Maps right now, I think is really shifting

00:12:10.029 --> 00:12:12.110
from kind of just a navigation tool that we've

00:12:12.110 --> 00:12:15.149
all used for the last number of years into a

00:12:15.149 --> 00:12:16.990
transaction engine, they're trying to actually

00:12:16.990 --> 00:12:19.509
get you to make transactions on there. And of

00:12:19.509 --> 00:12:21.289
course, they can take a little piece of the pie,

00:12:21.389 --> 00:12:23.509
they can charge for ads, or they can charge transaction

00:12:23.509 --> 00:12:25.750
fees. So this is something that makes a lot of

00:12:25.750 --> 00:12:28.090
sense for them. Right now, social media platforms

00:12:28.090 --> 00:12:32.149
are aggressively using AI to catch spam and other

00:12:32.149 --> 00:12:34.629
things. And they're also getting real results

00:12:34.629 --> 00:12:38.570
caught up in this. So some of this wrongful banning,

00:12:38.570 --> 00:12:40.990
you could say, is getting thousands of innocent

00:12:40.990 --> 00:12:43.970
users. There's also like no way to appeal this

00:12:43.970 --> 00:12:46.669
before your account gets completely deleted.

00:12:46.870 --> 00:12:50.409
Discord alone locked out 8 ,400 accounts over

00:12:50.409 --> 00:12:53.389
the summer because its AI accidentally mistook

00:12:53.389 --> 00:12:57.610
chess boards for illegal content, which is a

00:12:57.610 --> 00:13:02.049
problem. And Reddit's AI tools removed like...

00:13:02.240 --> 00:13:05.759
over 10 year old posts from our ask historians,

00:13:05.980 --> 00:13:08.440
the Reddit thread, our ask historians, because

00:13:08.440 --> 00:13:10.860
it said that they were linked to a historical

00:13:10.860 --> 00:13:14.419
photo site, um, that the system had flagged as

00:13:14.419 --> 00:13:16.000
spam. So it's like, look, you you're linking

00:13:16.000 --> 00:13:18.080
out to this, or I don't even think it was all

00:13:18.080 --> 00:13:19.700
the posts, but sometimes like the comments on

00:13:19.700 --> 00:13:21.980
it, they're all linking out to a bunch of historical

00:13:21.980 --> 00:13:24.759
photo sites. They review that as spam. And then

00:13:24.759 --> 00:13:26.720
they go and delete all of the threads. Some of

00:13:26.720 --> 00:13:27.940
these are 10 years old, right? And they're like,

00:13:28.000 --> 00:13:30.539
Oh no, these are AI generated threads. And of

00:13:30.539 --> 00:13:33.090
course it's old thread. So it's it is not the

00:13:33.090 --> 00:13:36.350
case. discords AI was designed to flag content

00:13:36.350 --> 00:13:38.470
for human review, there was this kind of bug

00:13:38.470 --> 00:13:40.669
in there, I guess, and it let it bypass humans

00:13:40.669 --> 00:13:43.009
entirely. And it just auto banned a ton of users.

00:13:43.190 --> 00:13:45.389
Some of them were locked out for weeks, which

00:13:45.389 --> 00:13:49.029
if it's a tool that you use a lot, this is obviously

00:13:49.029 --> 00:13:51.409
not very fun. And it's actually interesting discord

00:13:51.409 --> 00:13:54.129
is a platform that my company AI box we use kind

00:13:54.129 --> 00:13:56.889
of like instead of slack, we use discord for

00:13:56.889 --> 00:13:59.389
all of our developers. And we have like a community

00:13:59.389 --> 00:14:01.029
over there. And we do a lot of different stuff

00:14:01.029 --> 00:14:03.549
on discord, I can only imagine and like we got

00:14:03.549 --> 00:14:06.169
to pay premium, right to run our company through

00:14:06.169 --> 00:14:08.149
there. So like we pay for it, but I can only

00:14:08.149 --> 00:14:10.830
imagine getting banned and locked out for weeks.

00:14:10.889 --> 00:14:12.769
I mean, I really just switched to another platform.

00:14:12.830 --> 00:14:14.850
So I think this is quite detrimental for some

00:14:14.850 --> 00:14:17.110
of those platforms. Reddit reports that their

00:14:17.110 --> 00:14:20.929
systems now block about 2 million fake votes

00:14:20.929 --> 00:14:24.789
daily and their enforcement is ramping up. They

00:14:24.789 --> 00:14:27.529
say it's on hate content. It's been ramped up

00:14:27.529 --> 00:14:32.370
over 200%. They use LLMs to spot any spam patterns

00:14:32.370 --> 00:14:34.149
that they can find. And of course, I'm all for

00:14:34.149 --> 00:14:36.450
blocking spam. So if they're able to get real

00:14:36.450 --> 00:14:39.909
spam and real AI generated junk cut out, I'm

00:14:39.909 --> 00:14:42.610
thrilled. But I hate the false positives. And

00:14:42.610 --> 00:14:44.330
I think a lot of people are, you know, leaves

00:14:44.330 --> 00:14:47.080
bad taste in their mouth. if that happens naive

00:14:47.080 --> 00:14:50.799
has just raised 28 .5 million dollars to give

00:14:50.799 --> 00:14:53.480
ai agents the power to basically set up and run

00:14:53.480 --> 00:14:56.100
an entire company so they're going to have a

00:14:56.100 --> 00:14:58.779
startup package it'll do business formation it'll

00:14:58.779 --> 00:15:00.539
do payments it'll do accounting it'll do cloud

00:15:00.539 --> 00:15:03.059
infrastructure all that is in a single api that

00:15:03.059 --> 00:15:06.389
their agent can call So developer can basically

00:15:06.389 --> 00:15:09.269
give an AI prompt and then it can have this,

00:15:09.350 --> 00:15:12.110
their tool spin up like an LLC. It can make a

00:15:12.110 --> 00:15:13.549
bank account. It can make emails. It can make

00:15:13.549 --> 00:15:15.610
phone numbers. I think this is really cool. And

00:15:15.610 --> 00:15:17.870
personally, I love this because it takes out

00:15:17.870 --> 00:15:20.269
a lot of the pain and start in making these startups.

00:15:20.309 --> 00:15:22.669
And they've been very successful and popular.

00:15:22.809 --> 00:15:25.070
They have about 30 ,000 developers that signed

00:15:25.070 --> 00:15:27.210
up as customers when in the first few months

00:15:27.210 --> 00:15:30.009
after they launched their annual revenue 10x

00:15:30.009 --> 00:15:33.230
over six months to the low double digit millions

00:15:33.230 --> 00:15:36.259
with just. full time employees, which is absolutely

00:15:36.259 --> 00:15:38.600
phenomenal. They have a bunch of customers that

00:15:38.600 --> 00:15:41.379
are AI agencies, faceless content creators, and

00:15:41.379 --> 00:15:43.740
they have at least one autonomous rental car

00:15:43.740 --> 00:15:46.940
business. An example is a TikTok account uses

00:15:46.940 --> 00:15:49.919
them to generate and post AI videos of dancing

00:15:49.919 --> 00:15:52.279
cats and dogs. The company is building infrastructure

00:15:52.279 --> 00:15:55.379
to cut the cost of running AI agents at scale.

00:15:55.460 --> 00:15:57.840
So they have sandboxes, they have a model router

00:15:57.840 --> 00:15:59.679
that picks the cheapest AI model for whatever

00:15:59.679 --> 00:16:01.820
task you're using. They have a memory layer,

00:16:01.960 --> 00:16:04.379
they have a serverless runtime. So customers

00:16:04.379 --> 00:16:06.399
only pay when agents are actually working. There's

00:16:06.399 --> 00:16:08.240
a lot of really cool features in there. And so

00:16:08.240 --> 00:16:09.940
yeah, no surprise that they're able to raise

00:16:09.940 --> 00:16:12.440
almost $30 million. I think this is an interesting

00:16:12.440 --> 00:16:14.360
company, I definitely am going to keep my eye

00:16:14.360 --> 00:16:16.360
on naive. Guys, thank you so much for tuning

00:16:16.360 --> 00:16:18.559
into the podcast. If you want to try all of the

00:16:18.559 --> 00:16:20.779
different AI models, test them side by side,

00:16:20.799 --> 00:16:22.639
compare the results for whatever your latest

00:16:22.639 --> 00:16:25.940
project is. And also get Claude and any other

00:16:25.940 --> 00:16:28.519
AI model to to integrate with all of those. So

00:16:28.519 --> 00:16:30.440
like you get image, audio and video generation

00:16:30.440 --> 00:16:33.529
inside of Claude with our connection. go try

00:16:33.529 --> 00:16:37.909
AI box .ai. My own startup is $8 .99 to get started.

00:16:38.029 --> 00:16:41.529
We also have annual plans that are 20 % off of

00:16:41.529 --> 00:16:44.149
that and you can scale up your usage. I'll catch

00:16:44.149 --> 00:16:45.590
you guys all in the next episode.
