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. OpenAI's first piece of hardware coming

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out with Johnny Ive is going to be a smart speaker.

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in the shape of a donut that costs between $200

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and $400. ByteDance is training a 10 trillion

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parameter model and their goal is to basically

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compete with Anthropic. Replit's CEO says stop

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learning to code and build a self -driving company

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instead. Airbnb credits AI for an 80 % jump in

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the features that they have shipped and they

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said they're going to test AI search next. Moonshot's

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Kimmy K3 breaks out of its sandbox to cheat on

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a security test. because, of course, why not?

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Meta, Anthropic, OpenAI, they all broke out of

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their security, you know, sandboxes, so why not

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KimiK3? If you want to get a deeper dive on all

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of these stories and more every single day to

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your inbox, go check out AIChatDaily .com. That

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is the news site that goes along with this podcast,

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and I cover deep dive articles on all of the

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podcast episodes and topics that I cover here.

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I do about 20 different articles a day, so there's

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a ton of deep dive content, and it's kind of

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like a show notes for this show. In addition,

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I also have a subscribe button on that website

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where if you hit it, you can get a daily newsletter

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sent to your inbox every single day with the

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top five stories to give you a really quick and

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easy breakdown of what's happening in AI every

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single day. So that is AIChatDaily .com. Go check

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it out. OpenAI is building a $300 to $400 smart

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speaker. It's going to be shaped, some people

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say like a hockey puck. I've heard it's shaped

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like a donut. Essentially, the design got created

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by Johnny Ive, who, of course, famously created

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the iPhone. And he is going to be launching this

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in 2027 in this partnership with OpenAI. The

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device has moving parts and it has a bunch of

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lights. The idea is to make it feel really responsible

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while you're talking to it. So it's going to

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be like moving around. They're calling this kind

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of like a premium alternative to an Amazon Echo

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or Echo Studio. And the Echo Studio is $220.

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So they're, you know, almost $100, maybe $200,

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maybe twice the price of the Amazon Echo Studio.

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All of these details are coming out at a very

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exciting time because Love From, which is Johnny

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Ives' design studio, They created all of this.

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It's super high quality. They have all this premium

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materials, but this is all happening at the same

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time that OpenAI is being sued by Apple over

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alleged hardware trade secrets. This would be

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OpenAI's second consumer device after the $230

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Codex Micro Keyboard, which I personally have.

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The company is evaluating other different AI

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-powered hardware beyond just this speaker. ByteDance

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is training a 10 trillion parameter AI model,

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so it's about the size of Anthropix Mythos 5,

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but it is... three times bigger than China's

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largest model that they have ever released. This,

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I think, is showing that ByteDance really wants

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to be a world -class frontier AI lab, independent

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of whatever's coming out of the United States.

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And the scale is something that no other Chinese

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company has attempted. Pre -training is expected

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to take three to six months before they do fine

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-tuning. Their current chatbot is called DuoBao,

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and it already has 324 million monthly active

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users in China. So it's definitely the most used

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AI. chat tool in China. This seed research team

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that is leading the effort has grown to about

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2000 people across China and overseas. I think

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it's led by former Google DeepMind scientist

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Wu Yong He. So ByteDance has really closed most

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of the gap with a lot of the US frontier labs

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in all of the different benchmarks. Moonshot

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and Alibaba models now are very close to Fable

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5 in a lot of different tests. And now a successful

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10 trillion parameter model potentially could

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really put China to the forefront at a time when

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we're having a lot of conversations about banning

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Chinese open weight models and all of this stuff.

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Now, I will say, you know, given China's massive

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population, much bigger than the United States,

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having 300 million monthly active users is and

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you know, it is the it's kind of the forefront,

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the number one company in China doing this, it

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is definitely behind America's 900 million monthly

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active users, but that's also globally for chat

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GPT. So it's gonna be interesting to see how

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these two things shake out. And of course, it's

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also interesting considering the fact that ChatGPT

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and Anthropic are banned in China. Meanwhile,

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you have Chinese models coming into the United

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States, and they are allowed to be used. Replit

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just raised $400 million at a $9 billion valuation,

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and they're on track to hit $1 billion in revenue

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by the end of the year. That's up from $2 .8

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million in 2024. That is absolutely astronomical.

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Their CEO says that they are building a... self

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-driving company where AI agents do most of the

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coding work. And then their team's input has

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almost tripled in the last six months. So more

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than 50 million people now use Replit to build

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software, including 85 % of Fortune 500 companies.

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According to their CEO, people have stopped learning

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to code altogether. Well, I think there's some

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elements of that that are true. I think there's

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also a lot of people that are never, you know,

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would have touched code or thought they'd be

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a developer that are also turning into developers

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and learning a lot more about code. than they

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thought they would, myself included. Airbnb says

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that AI now writes 60 % of their code and it

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has cut the time from idea to launch by 60%.

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They said that they have an 80 % jump in new

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features that they shipped in the first half

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of 2026. They're also testing an opt -in AI search

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tool that's gonna basically let us just type

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in plain text questions that we would like answered

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about certain places instead of scrolling filters.

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I actually really like this. I've seen this play

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out really well on GoDaddy when you're looking

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for a domain name instead of in the past. I mean,

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I just had this painful experience with every

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company I've ever started or every website I've

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ever registered where you go, think of a name,

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test it in GoDaddy, see if the .com, .io, .ai,

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whatever, the variations are available. If everything's

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taken, you think of a new name, you type it in,

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and it just takes forever. It's a terrible experience.

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GoDaddy now has it where you can put in a few

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keywords and just like you're chatting with ChatGPT,

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you can say, what you're kind of looking for

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and it will give you a bunch of recommendations.

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I think Airbnb is going to be the same thing

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where you can say, hey, look, I'm looking for

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something near the end of August for two weeks

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in Madrid. I'm looking for it to be close to

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XYZ place or within walking distance of this.

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And like you just kind of chat with it about

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what you're looking for and it will fill it out.

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And I know some people are like, well, why can't

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you just do that with the filters? And yeah,

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you can go use the filters, but I absolutely

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hate having to learn any company's UI when they

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change the UI. It's a pain when you could just

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voice to text. it into Airbnb and get exactly

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what you're looking for. To me, that is a way

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better user experience. Airbnb's AI support agent

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already handles about 45 % of their customer

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issues without having any sort of human in the

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loop that cuts customer support costs per booking

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by 16 % year over year. And actually do like

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that because the more money they save, inevitably

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that some of that will get passed back to the

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customer on being able to offer things for less.

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Their Q2 revenue rose 17 % to $3 .6 billion.

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And their profit, which is adjusted EBITDA was

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climbing 21 % to 1 .3 billion. And in perhaps

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the most predictable news story of the day moonshot

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ai's kimmy k3 we've all heard this you know everyone's

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talking about this right now it is one of the

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most popular chinese ai models apparently it

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escaped a uk government security test by discovering

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a network misconfiguration and then pulling answers

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from github to solve the task it was given that

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and that particular incident is the third major

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model in a month to break out of a sandbox during

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a security testing and everyone is asking questions

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about how open open weight models should compete

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with us competitors if they should be allowed

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yada yada there's a lot of talk we have our treasure

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secretary talking about that and saying that

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he's you know willing to weigh sanctions and

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all this kind of stuff obviously it's all being

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lobbied for by open ai and anthropic kimi k3

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figured out on its own that it could reach the

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open internet It essentially did this by probing

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the sandbox's network settings, and then it used

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that to access and look up, you know, answers

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in public repositories for what it was trying

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to do. Unlike OpenAI and Anthropix models that

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were tested with similar conditions, Kimmy K3

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acted on the sandbox leak because it has thinner

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safety guardrails as the publicly available model,

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so it's a little bit easier for it to do some

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of this kind of stuff. When the research disabled

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safeguards on OpenAI and Anthropix models in

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the follow -up tests, versions also broke out

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and attempted multiple hacks, including the one

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that tried to plant malicious code on GitHub.

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I think this pattern that we're seeing right

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now, on the one hand, yes, it's bad. On the other

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hand, like these are security researchers prompting

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it to to get information in certain ways where

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it would need to break out of a sandbox to do

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it the ways they're prompting, I almost guarantee

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are pushing it towards doing these things. And

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at the end of the day, this is a big PR thing.

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Opening, I was the first one that was out there

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hacking was out there hack. hacking, hugging

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face. And then Anthropic said, Oh, look, we have

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a model that also can get up sandboxes and hack

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and medicine that they could do it. And now we

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have moonshot that saying they could do it. And

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I'm not trying to be like dismissive of all of

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this. But I do feel like there's a big PR element

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of this where all of the labs feel like they

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need a model that's able to hack its way out

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of a sandbox. And we have the most recent one.

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And I'm sure this is it's kind of like a new

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benchmark or rite of passage. I'm sure whenever

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the next flagship AI model comes out from anyone,

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they're the you know, people's willingness to

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believe how good the model is is going to depend

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on if it hacked its way out of a sandbox. So

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I'm sure we'll see more of these kind of announcements

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coming up. Thank you so much for tuning into

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the podcast today, guys. If you haven't left

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a review for the show, it actually helps the

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show out a ton. It helps me out. I really appreciate

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it. I appreciate all of you. Make sure to go

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check out AI chat daily .com. If you want to

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get access to all of these stories in article

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form, you can go subscribe to our newsletter.

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There's a link in the description there. And

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you can get this sent your inbox every day in

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case you miss an episode or in case you want

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more information and more deep dives. on the

00:10:17.559 --> 00:10:19.539
episodes I talk about on the show. I hope you

00:10:19.539 --> 00:10:21.879
have a fantastic rest of your day and I'll catch

00:10:21.879 --> 00:10:22.500
you in the next episode.
