Sam Altman thinks the ChatGPT use case that changes everything is turning your family calendar into a daily podcast for your kids on the drive to school. That is, until someone replied asking a simple question... “Why don’t you just talk to your children?”

Juan and Kate review the dumbest AI use cases doing the rounds right now. Grocery lists turned into haikus, Gemini Notebook (formerly known as Google NotebookLM) podcast bots saying “fascinating, let me add to that” to each other. Vibe-coded websites (sites generated by AI purely from an aesthetic prompt) that should have been a three-line email. Anthropic’s weirdly dystopian “there’s hope in hard questions” ad.

Which would all be easier to laugh off if AI weren’t eating this much money and infrastructure. Because od data centers, the same hard drive we bought for this podcast a year ago is now nearly three times the price, while 70% of Microsoft’s AI earnings... come directly from OpenAI.

That’s what this episode is all about, asking ourselves (and you), how did a technology attracting this much money end up being sold to us with bedtime stories, recipes and increasingly elaborate ways to avoid doing simple things ourselves?

👉 What’s the cringiest AI use case you’ve seen? Drop it in the comments. We’re featuring them every Wednesday.

ABOUT SLOP WORLD

AI news with receipts. Juan Faisal and Kate Cook fact-check the claims Big Tech is making about AI, follow the money, and break down what it actually means for your job, your data, and your daily life.

From leaked data and corporate cover-ups to AI schools, stolen identities, and layoff headlines that don’t add up, we cover the AI stories that everyone’s hyping but nobody’s verifying.

New episodes every Saturday.

DISCLAIMER

All content is commentary and opinion based on publicly available documents, interviews, and verifiable sources. References to “scams,” “grifts,” or related terms reflect our editorial opinion, not legal conclusions. Anyone featured who believes a statement is inaccurate may contact us.

CHAPTERS

0:00 What Was Sam Altman's Wildest ChatGPT Pitch?

1:13 The Tweet Reply That Got 220,000 Likes

3:20 Is Gemini Notebook's Podcast Feature Useless?

6:24 The Haiku Grocery List Nobody Asked For

7:44 Claude Websites: All Style, Zero Substance

10:16 Anthropic's Cringe 'Hope in Hard Questions' Ad

12:49 Why These 'Cute' AI Demos Feel So Empty

15:31 Why Your Hard Drive Costs 3x More Now

17:14 What AI Should Actually Feel Like (Kate & Juan Disagree)

One of Derek Mobley’s rejection emails arrived at 1:50 in the morning, less than an hour after he applied through Workday. His lawsuit has since grown into a nationwide age-discrimination collective involving Workday’s AI hiring tools.

Workday says its software doesn’t make hiring decisions. Employers do. But the court allowed plaintiffs to continue arguing that Workday can still be liable when its tools screen and rank applicants.

The bigger fight is over evidence. Plaintiffs were denied access to Workday’s bias-testing data and customer applicant records, while Workday’s internal bias audit remains protected from disclosure. The case has also expanded to include HiredScore and claims involving gender, race, and disability.

ABOUT SLOP WORLD

AI news with receipts. Juan Faisal and Kate Cook fact-check the claims Big Tech is making about AI, follow the money, and break down what it actually means for your job, your data, and your daily life. From leaked data and corporate cover-ups to AI schools, stolen identities, and layoff headlines that don’t add up, we cover the AI stories that everyone’s hyping but nobody’s verifying. New episodes every Thursday.

DISCLAIMER

All content is commentary and opinion based on publicly available documents, interviews, and verifiable sources. References to “scams,” “grifts,” or related terms reflect our editorial opinion, not legal conclusions. Anyone featured who believes a statement is inaccurate may contact us.

CHAPTERS

00:00 Mobley v. Workday: Who’s Liable When AI Rejects You?

01:00 The Judge Blocks Workday’s Bias-Testing Data

02:52 Derek Mobley’s 50-Minute Rejection

05:06 Workday’s Defense: “We Just Make the Tool”

06:52 Age Discrimination Claims Expand the Case

09:24 HiredScore Gets Pulled Into the Lawsuit

11:44 What Workday Has to Hand Over

13:52 Workday’s Bias Audit Stays Out of Reach

A pregnant Meta employee says she was laid off two days before giving birth. Another manager was cut sixteen days into approved medical leave. A third says they were warned: take the leave and you’ll end up on the list.

They’re among 26 former Meta employees suing over layoffs they say were influenced by AI and workplace tracking data, including keystrokes, browser activity, and AI usage. Meta says humans made the final decisions based on performance ratings and organizational needs.

The workers also face a problem: proving what the system actually did. A federal judge rejected their effort to rely on claims about decisions they weren’t present for, leaving key questions about how Meta’s internal systems influenced the layoffs unresolved.

Juan and Kate break down the lawsuit, Meta’s “betting on people” campaign, its $115 million workforce academy for data-center trades, and the contradiction between cutting employees while investing heavily in AI infrastructure.

ABOUT SLOP WORLD

AI news with receipts. Juan Faisal and Kate Cook fact-check the claims Big Tech is making about AI, follow the money, and break down what it actually means for your job, your data, and your daily life. From leaked data and corporate cover-ups to AI schools, stolen identities, and layoff headlines that don't add up, we cover the AI stories that everyone's hyping but nobody's verifying. New episodes every Thursday.

DISCLAIMER

All content is commentary and opinion based on publicly available documents, interviews, and verifiable sources. References to "scams," "grifts," or related terms reflect our editorial opinion, not legal conclusions. Anyone featured who believes a statement is inaccurate may contact us.

CHAPTERS

00:00 Meta Laid People Off on Approved Medical Leave

01:16 The Federal Lawsuit and The Room Where It Happened

02:37 8,000 Layoffs, $135B AI Bet, Secret Surveillance

03:49 Linh Doan and The Human Decision Defense

05:08 Meta's "The Future is for Everyone" Ad Campaign

07:38 The Real Reason Meta Launched a $115M Trade School

09:22 Why Meta Is Training Blue-Collar Workers

12:13 Betting on Data, Not on People

13:14 A Blank Check to Fire You by Spreadsheet

Apple is suing OpenAI over allegations that its hardware team stole trade secrets while recruiting former Apple employees. The lawsuit claims job candidates were told to bring parts from unreleased Apple devices to interviews, while departing employees were coached on how to avoid Apple’s security review.

At the same time, OpenAI may be slowing down its IPO. CFO Sarah Friar has said the company isn’t operationally ready for public markets as it projects $600 billion in compute spending through 2030. Sam Altman reportedly has another reason for waiting: he wants OpenAI valued at $1 trillion.

Juan and Kate break down Apple’s claims, OpenAI’s IPO tension, the proposed $42.6 billion U.S. government equity stake, and what happened to Sora and the Atlas browser.

If the government owns part of an AI company, does it have a financial reason to regulate it differently?

ABOUT SLOP WORLD

AI news with receipts. Juan Faisal and Kate Cook fact-check the claims Big Tech is making about AI, follow the money, and break down what it actually means for your job, your data, and your daily life. From leaked data and corporate cover-ups to AI schools, stolen identities, and layoff headlines that don't add up, we cover the AI stories that everyone's hyping but nobody's verifying. New episodes every Thursday.

DISCLAIMER

All content is commentary and opinion based on publicly available documents, interviews, and verifiable sources. References to "scams," "grifts," or related terms reflect our editorial opinion, not legal conclusions. Anyone featured who believes a statement is inaccurate may contact us.

CHAPTERS

00:00 — Sam Altman’s Trillion-Dollar IPO Dream

01:40 — Is OpenAI Ambitious or Just a Mess?

02:43 — The Amazon Defense

03:43 — The IPO Delay and $600 Billion Compute Bill

04:47 — CFO Sarah Friar vs. Sam Altman

08:01 — The Apple Lawsuit: "Show & Tell" Stolen Hardware

09:15 — Tang Tan & The "LOL" Stolen Laptop Allegations

10:28 — OpenAI Wants the U.S. Government as a $42B Partner

12:14 — Dead Projects: Sora and the Atlas Browser

14:38 — The Math Ain't Mathing: Moving Fast and Breaking the Economy

Uber told its engineers to use AI aggressively and built an internal leaderboard ranking teams by usage. By April, the company had burned through its entire 2026 AI coding budget.

Uber responded by capping employees at $1,500 a month per coding tool. The company had been using tools like Claude Code and Cursor, while some engineers were running up thousands of dollars in monthly token costs.

Juan and Kate break down how the leaderboard helped drive the spending, why roughly 10% of Uber’s code is now built by AI agents, and the bigger question companies are starting to face: what happens when AI adoption grows faster than the return on investment?

They also get into rising agentic AI costs, Microsoft Copilot pricing, tokenmaxxing, and three ways companies can get AI spending under control before the bill gets worse.

ABOUT SLOP WORLD

AI news with receipts. Juan Faisal and Kate Cook fact-check the claims Big Tech is making about AI, follow the money, and break down what it actually means for your job, your data, and your daily life. From leaked data and corporate cover-ups to AI schools, stolen identities, and layoff headlines that don't add up, we cover the AI stories that everyone's hyping but nobody's verifying. New episodes every Saturday.

DISCLAIMER

All content is commentary and opinion based on publicly available documents, interviews, and verifiable sources. References to "scams," "grifts," or related terms reflect our editorial opinion, not legal conclusions. Anyone featured who believes a statement is inaccurate may contact us.

CHAPTERS

00:00 Uber Burned a Year of AI Budget in 4 Months

00:38 What Uber Gave Its Engineers: Cursor and Claude Code

01:57 The Leaderboard That Turned AI Into a Competition

03:13 The $1,500 Cap, the Dashboard, and the Stock Dip

06:10 Who AI Coding Tools Actually Benefit Most

08:09 Microsoft Copilot Raises Prices: It's Not Just Coding

10:19 Tokenmaxxing and the Education Gap

12:03 Three Ways to Get Your AI Costs Under Control

13:47 Sometimes the Best Tool Is Your Own Brain

A $3 million AI chatbot for LA's public schools lasted 90 days. This week, the superintendent who championed it resigned, four months after the FBI raided his home and office. The company behind the bot faked its revenue by more than 300x, and the fraud reaches all the way to the top of the district. Juan and Kate follow the money.

ABOUT SLOP WORLD

AI news with receipts. Juan Faisal and Kate Cook fact-check the claims Big Tech is making about AI, follow the money, and break down what it actually means for your job, your data, and your daily life. From leaked data and corporate cover-ups to AI schools, stolen identities, and layoff headlines that don't add up, we cover the AI stories that everyone's hyping but nobody's verifying. New episodes every Thursday.

DISCLAIMER

All content is commentary and opinion based on publicly available documents, interviews, and verifiable sources. References to "scams," "grifts," or related terms reflect our editorial opinion, not legal conclusions. Anyone featured who believes a statement is inaccurate may contact us.

CHAPTERS

00:00 LAUSD's Superintendent Just Resigned. Here's Why.

02:16 Is AI Bad for Schools—or Just This One?

03:55 How LAUSD's $3 Million AI Deal Collapsed

06:04 Who Is Joanna Smith-Griffin?

07:26 $3.7 Million on Paper. $11,000 in the Bank.

09:26 Why Innovative Beat Safe at LAUSD

10:59 Zero Research. Zero Accountability.

Lenovo just ran the largest AI facial recognition and biometric data collection in live sports history, at the 2026 World Cup, with FIFA's blessing. No fan voted for that.

The receipts: sixteen host stadiums across the US, Mexico, and Canada, five to six million fans tracked on the ground, and $365 million in public money from DHS and FEMA. Anduril, Palantir, and Lockheed Martin all have a hand in it. Even the players aren't exempt, FIFA's AI Pro system tracks their biometrics with no opt-out.

A $10 billion AI contractor now holds faces from forty-five countries, and stadium fans are the product. Every Olympics and every stadium after this one runs the same playbook.

ABOUT SLOP WORLD

AI news with receipts. Juan Faisal and Kate Cook fact-check the claims Big Tech is making about AI, follow the money, and break down what it actually means for your job, your data, and your daily life. From leaked data and corporate cover-ups to AI schools, stolen identities, and layoff headlines that don't add up, we cover the AI stories that everyone's hyping but nobody's verifying. New episodes every Thursday.

DISCLAIMER

All content is commentary and opinion based on publicly available documents, interviews, and verifiable sources. References to "scams," "grifts," or related terms reflect our editorial opinion, not legal conclusions. Anyone featured who believes a statement is inaccurate may contact us.

CHAPTERS

00:00 Lenovo's AI Was "Too Sensitive" to Demo

02:39 Inside the Dashboard Tracking Every Fan

04:04 Football AI Pro: Even Millionaires Can't Opt Out

05:48 How $365 Million in Tax Money Bought This Surveillance Deal

07:49 Your Face Scan Could End Up With ICE

09:17 The FIFA App Secretly Tracking Your Location

11:08 Three Ways This Data Could Get Weaponized

14:28 Women Are Already Being Tracked Across State Lines

15:40 What's the ROI on This Surveillance Dry Run?

16:57 Why None of This Would Be Legal in Europe

19:09 We're All Hooked on Convenience

A study ran 2,200 real, pre-ChatGPT resumes through AI hiring models and found something absurd: GPT-4o preferred resumes written by GPT-4o 82% of the time.

Juan sits down with Jess from Artificial Insanity to unpack what happens when AI writes the application and another AI decides whether a human ever sees it.

They dig into the collapse of entry-level hiring, the lawsuit challenging automated resume screening, the rise of AI-generated application fraud, and why overwhelmed employers are falling back on referrals, alumni networks, and pedigree.

The system meant to remove human bias may be creating a new one: if your resume doesn't sound like the model judging it, you could lose before anyone reads it.

Can you still outsmart AI hiring, or is applying online becoming a lottery?

ABOUT SLOP WORLD

AI news with receipts. Juan Faisal and Kate Cook fact-check the claims Big Tech is making about AI, follow the money, and break down what it actually means for your job, your data, and your daily life. From leaked data and corporate cover-ups to AI schools, stolen identities, and layoff headlines that don't add up, we cover the AI stories that everyone's hyping but nobody's verifying. New episodes every Saturday.

DISCLAIMER

All content is commentary and opinion based on publicly available documents, interviews, and verifiable sources. References to "scams," "grifts," or related terms reflect our editorial opinion, not legal conclusions. Anyone featured who believes a statement is inaccurate may contact us.

CHAPTERS

00:00 Is the Job Market Just AI Talking to an AI?

01:11 How the AI Hiring Loop Works

02:32 Entry-Level Jobs Are Disappearing

04:44 The 2,200-Resume Study That Broke Everything

08:50 The Class Action Lawsuit Nobody Told You About

10:43 Ghost Jobs, AI Fraud, and the Collapse of Trust

13:27 What Happens When You Remove Humans From Hiring

16:22 Why Companies Went Back to Referrals — And Made It Worse

21:30 Can You Still Outsmart AI Hiring?

24:34 Stop Trusting the Algorithm