• Palantir cofounder Joe Lonsdale's wife has an interesting nickname for their AI agent.
• She calls it "Tradbot," he said, a name inspired by the social media trend of tradwives.
• The Lonsdales use their "Tradbot" for help with parenting.

What does Joe Lonsdale's AI agent and Ballerina Farm have in common?

Lonsdale, who cofounded Palantir before building his venture capital firm, told CNBC on Thursday how his wife, Tayler, uses AI — and the nickname she's given their agent.

"My wife has Grok Bot at home," Lonsdale said. "She calls it the 'tradbot' for tradwife."

For those unfamiliar, a tradwife is a woman who embraces traditional gender roles, such as supporting her husband with household work and taking a primary role in raising kids. Some of these tradwives become influencers, posting videos of their ornate meals or gifts for their husbands.

The Lonsdale family's "tradbot" helps them manage parenting duties for their six children. Lonsdale said the AI agent tells them about health appointments and activities.

He asked the "tradbot" to help his two-year-old break up with his binky. "It's telling me when to and when not to give it to him," Lonsdale said.

Parents have been employing AI for all kinds of use cases. One mom of two previously told Business Insider that she sends voice memos to Claude to help organize her life. Another said that she built AI agents to help manage schedules and school emails. Business Insider's Amanda Hoover declared mom, dad, and AI the "modern parenting throuple." The debate of how much — if any — AI should be involved in parenting continues to rage online.

Lonsdale is a vocal proponent of AI, having invested in it heavily through his venture capital fund, 8VC. During September's AI extinction freak-out, Lonsdale reassured the public: "The world is going to be alright, guys."

Clearly, Lonsdale's use of AI has extended beyond the office. "My wife's definitely using it at home," Lonsdale told CNBC, "and we're using it a lot at work as well."

• Everyone complains about AI-generated junk.
• But decades of sloppy human-written software may be a much bigger problem.
• This week's "Black October" freakout was caused by human slop, not AI.

The internet has a slop problem. And for once, we can't blame AI.

Most of us spend hours online every day without thinking much about the software holding everything together. We assume somebody, somewhere, has made sure it all works properly.

So it probably came as a shock this week to discover just how vulnerable some of that software is.

The cybersecurity freakout dubbed "Black October" has inspired warnings about AI-powered hackers, digital catastrophe, and even advice to stockpile cash and canned food.

At first glance, AI looks like the villain. But this is largely a human-made mess.

Here's the problem.

The internet runs on decades of software, some of it containing security weaknesses that have been overlooked, tolerated, or simply left unfixed.

For years, that was a manageable gamble. Fixing software takes time and money. Exploiting obscure weaknesses often required considerable expertise. Companies could convince themselves that the risk wasn't worth worrying about.

AI is changing that calculation. Someone who once needed years of training to hunt for weaknesses can now get help from an AI model. These tools can also examine software at speeds that humans can't match.

Suddenly, all those problems we've been ignoring look more urgent.

"Over the last 10 years the risk acceptance process has morphed from a way to accept risks to enable the business, to a way to justify never fixing security issues," Joel de la Garza and Zane Lackey, partners at a16z, wrote on Friday.

That's quite an indictment. The result is a recent surge in published vulnerabilities.

This looks like AI is creating new security problems. But it's actually AI exposing weaknesses that humans left behind.

Slop irony

The irony is delicious. We've spent the past couple of years complaining about "AI slop." Turns out human slop can be pretty consequential, too.

"The funny thing is everyone was saying AI slop code will cause a cyber crisis but it's actually all the old human slop causing it and the AI is just cleaning it up," software engineer Ben Kaufman wrote on X on Thursday.

"Humans have been the ones writing and reviewing each other's code for decades," tech founder Anant Jain wrote on X. "If we're being intellectually honest and holding ourselves to the same bar we hold AI to, we'd have to admit that we haven't been all that good at it either."

Humans are sloppy

Anyone who's worked with other humans for a decade or two knows exactly how this happens.

It's Friday afternoon. You've almost finished a project. You could spend another few hours making it perfect, or declare it 90% done and head off to that dinner party. We've all been there.

AI agents don't have dinner parties. They don't get tired on Friday afternoons. They can keep searching, testing, and trying again. That persistence is now colliding with an internet built by busy, imperfect humans who often settled for "good enough for now."

A tragedy of the commons

There's another wrinkle here, though, and it's an important one.

Much of the software underpinning the internet is freely available for anyone to use. Some of it is maintained by volunteers or small groups of experts, even as enormous technology companies depend on it.

In 2020, the cartoonist Randall Munroe captured this absurdity in an xkcd comic. Modern digital infrastructure still rests precariously on tiny foundations.

It's funny because it's uncomfortably close to reality. Take the specific PHP problems from this week. These flaws have existed for years, and the PHP Foundation acknowledges that limited resources and disagreements over fixes contributed to delays in fixing them.

Tom Occhino, chief product officer at Vercel, brought up Munroe's cartoon during my recent interview with him.

He explained that AI is finding weaknesses even in software that the industry has treated as dependable for decades.

This is partly a version of the tragedy of the commons: Everyone benefits from a shared resource, but no one has sufficient incentive to take responsibility for maintaining it.

And let's be clear: The volunteers keeping essential software running aren't the villains here. The companies benefiting from their work have a much greater responsibility.

Occhino thinks AI could help solve the problem it is exposing.

He described an idea being discussed at Vercel: Create a foundation or coalition that funds efforts to identify vulnerable software and replace it with safer alternatives.

"We need a consortium. We need a coalition," he told me.

He suggested companies could contribute computing resources and AI tools to the effort. Nothing has been formally announced, but the idea is compelling.

Indeed, OpenAI's Patch the Planet effort is an example of what's possible.

Rather than simply using AI to create more software, the industry could use it to repair what already exists.

Occhino put it nicely: Companies need to spend less time chasing new ideas and more time asking how to make existing systems "just work really, really well."

That's a better response than panicking about the imminent collapse of the internet.

AI didn't create decades of neglected software. We did. Perhaps it's time to clean up our own slop.

Sign up for the AI Insider newsletter here. Reach out to me via email at abarr@businessinsider.com

• Mark Cuban compared swarms of AI agents to cockroaches finding ways into systems.
• Cuban said agents can launch brute-force attacks at scale without inventing new hacks.
• Cuban said defenders can also "spray" their systems with AI, which makes defenses more accessible.

Mark Cuban has pest-control tips for the AI age.

Speaking at a Reuters NEXT Newsmaker event on Friday, the entrepreneur and billionaire investor compared the threat posed by swarms of AI agents to cockroaches finding their way into a freshly treated house.

"When I go talk to cybersecurity experts, I ask them all the time. I'm like, when we hear about these hacks and breakthroughs and, you know, different problems, do these AIs invent something new?" Cuban said.

"No, they didn't invent something new," Cuban added. "But they're able to do something in mass volume that it's all brute force hacks."

Cuban compared the challenge to keeping cockroaches out of a house.

"It's like the cockroach theory, where if somebody can create enough agents, it'll find a way to get in, and then it just exploits that. But the good news is you can spray your systems with just as much AI, and I think there's gonna be more effort from the good guys trying to stop the bad guys," Cuban said. "I'm not a doomer at all."

The AI industry is already creating its own team of exterminators to contain risks.

OpenAI safety roles on LinkedIn jumped by 91% over the past year, spanning work such as system testing, technical research, and governance.

The risks have also surfaced during testing. Anthropic said that three Claude models accessed organizations’ live systems without permission after a third-party testing environment was misconfigured. The company subsequently introduced real-time classifiers to detect and block attempts to escape testing environments.

Cuban said AI could make malicious activity more accessible, but the same techniques could also strengthen defenses.

"There will be scenarios where bad stuff happens, but we've always had hacks," said Cuban. "And if it's brute force on that side with the bad guys, you can also use brute force with the good guys."