Slop World Podcast

Bots now generate 57.5% of web page requests. For the first time, machines are making more requests to web pages than humans, and more of the internet is being rebuilt around them.This isn’t the dead internet theory, because the internet is very much alive. But the thing is, more of it is being designed for AI agents, while we humans are becoming an afterthought.Juan and Kate run the receipts: Cloudflare says bots now generate 57.5% of web requests, 18 months ahead of its CEO’s own prediction. Agentic AI traffic grew 7,851% in a single year. Stripe reports that 70% of its API commands already come from agents, and a quarter of developers now build their APIs with AI as the primary customer.So what happens when the web’s most important users aren’t people?When an AI agent can cancel your gym reservation because an API has zero authorization checks, and more systems are being built for agents to act on our behalf, what happens to the ad-funded, human-facing internet?Will it even exist as we know it five years from now?ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 The Dead Internet Theory Just Got Proof01:32 Why AI Agents Visit 5,000 Sites at Once03:17 How AI Scraping Crushed Cara04:54 Why Does Everything Online Feel Fake Now?06:41 How Bots Took Over r/BuyItForLife08:35 The Band Geese Was a Total AI Psyop10:51 AI Didn't Invent Fake Trends. It Scaled Them.12:38 The Internet's New Go-To Insult: You're a Bot14:16 Why the Internet Became the Opposite of The Matrix16:33 You Don't Deserve Nice Things Right Now18:22 Your New Front Door to the Internet Is an LLM

North Korean IT workers used stolen identities, AI-generated faces, and AI-assisted interview answers to get hired by real US companies. In Hong Kong, deepfake versions of a CFO and senior colleagues convinced an Arup finance worker to transfer $25 million.This episode is about what happens when AI makes remote hiring easier to fake and harder to verify.We break down the North Korean IT worker operation that submitted roughly 167,000 job applications in 10 months, the deepfake video call behind the $25 million Arup fraud, and the US facilitators who helped overseas workers appear to be working from inside the country.The larger problem is that AI now works on both sides of the hiring process. Companies use it to screen résumés and move candidates through the process faster. Candidates can use it to coach themselves through interviews, generate fake identities, and impersonate someone else entirely.The tools that made remote hiring faster and cheaper also made verification harder. Seeing someone on Zoom is no longer proof they are who they claim to be.ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Is Your Coworker Real, or an AI Hiring Scam?01:04 How Remote Work Made Hiring Easy to Fake03:33 The $25 Million Deepfake CFO Scam06:27 North Korean IT Workers: 167,000 Applications08:58 Why This Scam Needs a US Accomplice10:00 When Fake Workers Steal Real Identities11:56 How a Stolen ID and ChatGPT Build a Fake Worker14:55 Why "Human in the Loop" Isn't Working16:05 Can AI Tools Catch Fake Job Applicants?17:25 Trust Is the Real Cost of AI Hiring

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?ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS0:00 What Was Sam Altman's Wildest ChatGPT Pitch?1:13 The Tweet Reply That Got 220,000 Likes3:20 Is Gemini Notebook's Podcast Feature Useless?6:24 The Haiku Grocery List Nobody Asked For7:44 Claude Websites: All Style, Zero Substance10:16 Anthropic's Cringe 'Hope in Hard Questions' Ad12:49 Why These 'Cute' AI Demos Feel So Empty15:31 Why Your Hard Drive Costs 3x More Now17:14 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 WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Mobley v. Workday: Who’s Liable When AI Rejects You?01:00 The Judge Blocks Workday’s Bias-Testing Data02:52 Derek Mobley’s 50-Minute Rejection05:06 Workday’s Defense: “We Just Make the Tool”06:52 Age Discrimination Claims Expand the Case09:24 HiredScore Gets Pulled Into the Lawsuit11:44 What Workday Has to Hand Over13:52 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 WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Meta Laid People Off on Approved Medical Leave01:16 The Federal Lawsuit and The Room Where It Happened02:37 8,000 Layoffs, $135B AI Bet, Secret Surveillance03:49 Linh Doan and The Human Decision Defense05:08 Meta's "The Future is for Everyone" Ad Campaign07:38 The Real Reason Meta Launched a $115M Trade School09:22 Why Meta Is Training Blue-Collar Workers12:13 Betting on Data, Not on People13:14 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 WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 — Sam Altman’s Trillion-Dollar IPO Dream01:40 — Is OpenAI Ambitious or Just a Mess?02:43 — The Amazon Defense03:43 — The IPO Delay and $600 Billion Compute Bill04:47 — CFO Sarah Friar vs. Sam Altman08:01 — The Apple Lawsuit: "Show & Tell" Stolen Hardware09:15 — Tang Tan & The "LOL" Stolen Laptop Allegations10:28 — OpenAI Wants the U.S. Government as a $42B Partner12:14 — Dead Projects: Sora and the Atlas Browser14:38 — 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 WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Uber Burned a Year of AI Budget in 4 Months00:38 What Uber Gave Its Engineers: Cursor and Claude Code01:57 The Leaderboard That Turned AI Into a Competition03:13 The $1,500 Cap, the Dashboard, and the Stock Dip06:10 Who AI Coding Tools Actually Benefit Most08:09 Microsoft Copilot Raises Prices: It's Not Just Coding10:19 Tokenmaxxing and the Education Gap12:03 Three Ways to Get Your AI Costs Under Control13:47 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 WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 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 Collapsed06:04 Who Is Joanna Smith-Griffin?07:26 $3.7 Million on Paper. $11,000 in the Bank.09:26 Why Innovative Beat Safe at LAUSD10:59 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 WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Lenovo's AI Was "Too Sensitive" to Demo02:39 Inside the Dashboard Tracking Every Fan04:04 Football AI Pro: Even Millionaires Can't Opt Out05:48 How $365 Million in Tax Money Bought This Surveillance Deal07:49 Your Face Scan Could End Up With ICE09:17 The FIFA App Secretly Tracking Your Location11:08 Three Ways This Data Could Get Weaponized14:28 Women Are Already Being Tracked Across State Lines15:40 What's the ROI on This Surveillance Dry Run?16:57 Why None of This Would Be Legal in Europe19:09 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 WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Is the Job Market Just AI Talking to an AI?01:11 How the AI Hiring Loop Works02:32 Entry-Level Jobs Are Disappearing04:44 The 2,200-Resume Study That Broke Everything08:50 The Class Action Lawsuit Nobody Told You About10:43 Ghost Jobs, AI Fraud, and the Collapse of Trust13:27 What Happens When You Remove Humans From Hiring16:22 Why Companies Went Back to Referrals — And Made It Worse21:30 Can You Still Outsmart AI Hiring?24:34 Stop Trusting the Algorithm

AI now has a lower net favorability rating than Trump, ICE, and the Republican Party. Net favorability sits at negative 20%, 57% of Americans say the risks outweigh the benefits, and only 18% of young people feel hopeful about it at all. Usage is still up, from 48% to 56% of Americans using it daily.We read the Reuters/Ipsos polling data and watched Scott Galloway's Diary of a CEO appearance so you don't have to. The six factors driving the backlash: AI slop flooding every feed (McDonald's Netherlands pulled an AI Christmas ad after public backlash; Blue Apron went viral for AI copy that was pure gibberish), 55,000 job cuts blamed on AI in 2025 (12 times the number from two years earlier), a Pope writing 42,000 words calling for AI disarmament, 71% of Americans opposing data centers in their communities, three in four teens using AI as companions while only 37% of parents know, and now three of the leading labs (OpenAI, xAI, and Anthropic) racing toward IPO and needing a product they can monetize immediately.Mark Zuckerberg used AI as cover to cut jobs this week. California just signed executive order N-6-26, what looks like the first AI worker protection order of its kind from a U.S. state. Galloway's argument is the one that makes the backlash make sense: this isn't just a technology story, it's a wealth transfer story. The people with capital, networks, and seniority get faster and more powerful. Everyone else gets the layoff headline.If this technology was built for everyone, why does it keep landing hardest on the people who can least afford it?ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Americans Hate AI But Can't Stop Using It01:20 The Slop Takeover: When AI Pollution Goes Mainstream03:13 55,000 Jobs Cut — And It's 12x Worse Than Two Years Ago05:56 It's Not the Technology People Hate07:22 Mark Zuckerberg Just Made the Backlash Worse09:18 California Signs the First AI Worker Protection Order09:49 The Scott Galloway Take That Makes the Backlash Make Sense11:19 AI Companions Are Breaking Kids' Brains13:49 You Didn't Get to Vote for Any of This15:32 AI Was Not Built for Everyone17:43 70% of Americans Think AI Is Moving Too Fast (Both Parties)19:55 The IPO Rush Is Making Everything Worse20:50 What Should You Actually Do About It22:17 Regulation and Education: The Only Two Fixes That Matter

Google IO 2026: Gemini Spark is an always-on AI agent with access to your Gmail, your calendar, your browsing history, and your credit card. It runs in the background, makes decisions, and takes action. Google put that in the onboarding disclaimer.The catch is that agents don't know when to stop. A Meta employee gave one access to her inbox to help manage it. It started wiping emails without her consent. She told it to stop. It kept going. Goldman Sachs reviewed 350 potential risks of agentic AI and said the technology isn't ready for consumer use. Google shipped it anyway and told users to supervise the agents themselves — the ones running so you don't have to think about them.Juan and Kate cover how Gemini Spark works, what AI access to Gmail means for your data, and what to do if you want to stop an agent from acting without your permission. Is "experimental" the new "beta," and who pays when it goes wrong?ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Does Google's New AI Agent Spend Your Money Without Asking?01:19 What AI Agents Do (And Why This One Is Different)02:46 Google's Warning Label Says It May Buy Things Without Asking04:33 Agents Are Already Going Rogue — Here's What Happened06:06 Goldman Sachs Said Not Yet. Google Said Ship It Anyway.07:50 Not Evil. Just Kids With Your Credit Card.09:20 "Experimental" Is the New Beta12:15 What To Do Now

Klarna's CEO spent 2024 on a media tour telling anyone who would listen that AI had done the work of 700 full-time employees. By December of that year, headcount had dropped from 4,500 to 3,500, and he was on Bloomberg saying AI can already do every job humans do. In May 2025, he went back on Bloomberg and said the whole thing produced "lower quality." Now Klarna is rehiring.The catch: those jobs aren't coming back the same way. The roles are gig contracts, 400 Swedish krona an hour (about $41), no benefits, no guaranteed hours. Juan and Kate walk through the full timeline of the reversal, a Gartner study of 350 executives that found no correlation between AI-driven headcount cuts and higher ROI, and the counterexample nobody expects: IKEA, which faced the same pressure, retrained its call center workers as interior designers, and made $1.4 billion from it.Who decided a thousand jobs was acceptable math?ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Did AI Really Replace 700 Workers — or Just the Story?0:44 Meet Klarna: The Buy Now Pay Later Company That Bet on AI1:17 The Brag: AI Handles Two-Thirds of All Customer Service2:11 The Media Tour: He Wanted to Be OpenAI's Guinea Pig4:31 The Bloomberg Reversal: "Lower Quality"6:04 Is AI Actually Paying Off? What 350 Executives Found8:15 Still Calling Itself "AI First" While Quietly Rehiring9:15 The Catch: Gig Contracts, $41/Hour, No Benefits11:01 What IKEA Did Instead — And Made $1.4 Billion13:35 Who Decided 1,000 Jobs Was Acceptable Math?

Derek Mobley applied to more than 100 jobs through employers using Workday. He says he was rejected every time, including once at 1:50 in the morning, less than an hour after applying.Now his lawsuit is testing whether an AI hiring company can be held responsible when its software screens, scores, ranks, or rejects job applicants. Workday told the court that 1.1 billion applications were rejected using its platform during the period at issue.Juan and Kate break down how AI hiring systems filter candidates before a recruiter sees a resume, what the Workday lawsuit says about age discrimination and disparate impact, and why the case could change the “we just make the tool” defense for AI companies.If you’ve ever applied for a job and wondered whether a human even saw your resume, this one’s for you.ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Why Workday's AI Resume Screening Rejected Him at 1 AM01:54 The 1:50 AM Rejection That Sparked a Federal Lawsuit02:30 How Algorithmic Hiring Actually Works04:50 Disparate Impact and the Amazon Hiring Algorithm06:00 Workday's Defense: We Just Make the Tool07:17 Why the Court Ruled Workday Is an Employer11:01 March 2026: Why Job Applicants Can Now Sue13:31 What This Means for Every AI Company

Mercor is a $10 billion AI staffing company that supplies the human workforce training ChatGPT, Meta's models, and Anthropic's Claude: doctors, lawyers, and journalists doing the reinforcement learning the labs would rather not advertise. Last month, hackers walked out with 4 terabytes of their data, including 40,000 Social Security numbers, passport scans, and W9 tax forms. Mercor said nothing.The entry point was three steps upstream. LightLLM, an open-source Python tool downloaded 95 million times a month, had malicious code quietly pushed into a public repository. Forty minutes later, attackers had 900GB of Mercor's source code, 200GB of contractor personal data, and a direct window into the training pipelines of the biggest AI labs in the world. A company valued at $10 billion, fresh off a $350 million Series C, had zero multi-factor authentication on the systems holding that data.The SOC 2 certification that was supposed to catch exactly this? A whistleblower confirmed the auditing firm was rubber-stamping its reviews. The people certifying AI infrastructure as secure weren't checking. They were signing.If you work in AI, use AI tools, or assumed someone responsible was watching the infrastructure, this is what that looks like.ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 A $10B AI Contractor Got Hacked. 40,000 SSNs Gone.01:45 Meet Mercor: The Hidden Company Training ChatGPT04:07 How the Hack Worked in 40 Minutes07:27 What a Stolen SSN Does to You09:11 The Security Audit Was a Rubber Stamp13:52 The Workers Knew. Nobody Listened.16:42 Who F***ed Up: Mercor, the AI Labs, or Everyone?

Meta pushed keylogging software onto every U.S. employee's computer — keystrokes, mouse movements, screenshots, no opt-out — one month before 8,000 layoffs begin. The same employees generating the training data are being replaced by the AI agents they're training.Juan and Kate break down the internal memo sent to Meta Superintelligence Labs employees, the GDPR loophole that exempts EU workers entirely, the Andrew Bosworth CTO quote that says the quiet part out loud, and why the OpenAI contractor data requests and dead startup Slack archive sales confirm this is an industry playbook, not a one-company story.Meta already lied about the smart glasses. The employees asked for a personal computer. And we called this 20 episodes ago. The receipts are now public.ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS0:00 Is Meta Keylogging Every Employee? The Internal Memo0:36 What Meta AI Says This Is Actually For2:07 8,000 Layoffs. Zero Opt-Out. Same Week.3:24 Meta Already Lied About the Smart Glasses4:17 Why EU Workers Are Protected and US Workers Are Not4:52 Bossware Is Back — This Time It Trains Your Replacement6:06 Tech Workers Training Themselves Out of a Job6:51 Meta's CTO Said the Quiet Part Out Loud7:36 OpenAI Did It Too. This Is an Industry Playbook.8:22 Who's Doing the Labor of the AI Era (And Who Profits)9:23 Meta Layoffs: We Called This 20 Episodes Ago

OpenAI told employees to stop chasing side quests. Then they spent $200 million on a podcast and put their head of lobbying in charge. The memo came from Fidji Simo, OpenAI's CEO of AGI Deployment. She also cut the check.TBPN was the SportsCenter for tech bros. Silicon Valley's inside baseball show. $5 million in ad revenue in 2025. On pace to 6x that this year. Profitable. Independent. The place where Zuckerberg, Satya Nadella, and Sam Altman sat down to take softballs from their bros. So why sell?Juan Faisal and Kate Cook go through the full receipt: the internal memo that says the quiet part out loud, Sam Altman's pre-existing personal investment in TBPN founder John Coogan's first company, and why this acquisition reports to OpenAI's head of lobbying Chris Lehane, not their CMO, not their head of communications. That last part tells you everything.A $200 million influence machine targeting enterprise clients, government decision-makers, and IPO investors. OpenAI has an image problem: employees quitting over the Pentagon deal, a Ronan Farrow piece in The New Yorker, and a public that thinks AI risk outweighs the benefits. And they think a podcast fixes that.Follow the money. The truth shall be revealed.ABOUT SLOP WORLDAI 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.SOURCES & FURTHER READING- TBPN https://www.youtube.com/@TBPNLive- Why OpenAI bought 'SportsCenter for Silicon Valley' https://www.npr.org/2026/04/08/nx-s1-5775734/openai-tbpn-tech-media-silicon-valley- Why OpenAI’s Fidji Simo Bought the TBPN Podcast Amid Crusade Against ‘Side Quests’: https://www.theinformation.com/articles/openais-fidji-simo-bought-tbpn-podcast-amid-crusade-side-questsDISCLAIMERAll 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.

North Korea just scored big on a supply chain attack with the Axios hack. Not the news site — the actual code. Axios npm is a tiny library, downloaded 100 million times a week that lives inside almost every app on your phone. Your banking app. Your work tools. Your data. You've never heard of it, but you've definitely used it.Juan and Kate break down how the Lazarus Group phished one volunteer maintainer to slip a Remote Access Trojan (RAT) into the plumbing of the internet. They sat there for three hours with your files, your webcam, and your microphone wide open, then the code deleted itself and vanished. No footprints. No warnings. Just 2.4 million customer records and $2.1 million in crypto gone.This is where vibe coding security becomes a nightmare. AI tools pull these npm dependencies automatically because they work, but nobody is checking who owns the keys. Easy to build. Hard to defend. The North Korea hack counted on that.👉 What app on your phone do you trust the most with your data? Because that developer may have had three hours with everything. Hosted by Juan Faisal and Kate Cook. Slop World Podcast covers AI news with receipts — fact-checking Big Tech's claims and following the money on the stories everyone's hyping but nobody's verifying. New episodes every week.Chapters00:00 North Korea Built a Hack That Cleaned Itself. Millions Got Hit.00:56 Axios: The Code Inside Every App You've Ever Used01:31 One Volunteer. One Phishing Scam. The Whole Internet.02:11 Why This Could Hit You Even If You've Never Written Code02:36 What a RAT Does to Your Computer03:24 Kate's Vibe Coding Scare: Why Deleting the App Wouldn't Save Her04:29 Vibe Coding Security: Easy to Build, Hard to Defend06:00 Three Reasons Nobody Caught It in Time06:48 2.4 Million Records. $2.1 Million in Crypto. Gone.08:22 North Korea Did This. Google Confirmed It.09:09 A Country With No Internet Just Hacked the Internet09:52 Friction Is the Only Thing That Could Have Stopped This11:18 Stop Auto-Updating Your Apps Immediately

OpenAI shut down Sora six months after launch. The numbers tell the whole story: $5 billion in annual compute costs, $2.1 million in lifetime revenue, a deepfake crisis no guardrail could contain, and an IPO clock that made shutting it down the only rational move.Juan and Kate break down the full collapse — the Disney deal that evaporated before a single dollar changed hands, the celebrity lawsuits, the SAG-AFTRA pushback, and why OpenAI's only clean exit was to shut it all down before going public.👉 Was Disney lucky, or just smart enough not to have paid yet?Hosted by Juan Faisal and Kate Cook. Slop World Podcast covers AI news with receipts — fact-checking Big Tech's claims and following the money on the stories everyone's hyping but nobody's verifying. New episodes every week.Chapters:00:00 OpenAI Shut Down Sora Six Months After Launch01:07 What Sora Actually Was02:35 Was Sora Ever About Entertainment or Just Data?03:07 The Compute Crisis: $5 Billion a Year04:10 The Deepfake Problem OpenAI Couldn't Control04:47 Brian Cranston and SAG-AFTRA Pushed Back06:04 Sora Made $2.1 Million. OpenAI Spent $5 Billion.06:15 Why OpenAI Needed to Clean House Before the IPO08:01 Disney's Billion-Dollar Bet on a Dead Product09:48 Disney's New CEO Inherited a Deal He Never Liked11:06 We Called This — Here Are the Receipts13:15 OpenAI's Only Way Out Is Government Contracts

160 official layoff filings. Zero cited AI. So why is every CEO suddenly blaming it?Researchers reviewed 160 NY State layoff filings — Amazon, Goldman Sachs, all of them — and not one cited AI as the reason. The real drivers: pandemic over-hiring, rising interest rates, and a stock market that rewards the framing.Juan and Kate follow the paper trail: Jack Dorsey cutting half of Block's workforce after tripling headcount during COVID, Zuckerberg claiming AI saves money while committing $65 billion to AI infrastructure, and the copycat effect where one high-profile announcement triggers a wave of CEOs rushing to say the same thing before their next earnings call.Plus: what happens when tokens become part of your job offer and your company starts tracking how many prompts you run. That leaderboard is also a layoff list.Hosted by Juan Faisal and Kate Cook. Slop World Podcast covers AI news with receipts — fact-checking Big Tech's claims and following the money on the stories everyone's hyping but nobody's verifying. New episodes every week.Chapters:00:00 AI Layoffs 2026: The Story They Want You to Believe00:40 Sam Altman Called It AI-Washing (Then Changed His Mind)01:32 Jack Dorsey, Block, and the Pandemic Headcount Trick02:40 The Most-Quoted AI Researcher Says "No One Knows Anything"03:25 Why Saying "AI Did It" Makes Your Stock Pop04:45 The Copycat Effect: One CEO Pulls the Trigger for All05:58 Andrew Yang Named This: The AI Layoff Contagion06:48 Zuckerberg Saves Money by Spending $65B on AI07:27 Employee Morale Doesn't Show Up on the Balance Sheet08:52 Congrats, You Survived the Layoff. Now Do Everyone's Job.10:02 Digg Came Back. AI Bots Killed It in Weeks.10:37 The Future of Work: One Person = One Team?13:08 The Token Economy and the End of Cheap AI14:26 Tokens Are the New Benefits15:10 If Your Company Tracks Your AI Use, Layoffs Are Next

Grammarly built AI clones of Stephen King, Carl Sagan, and hundreds of journalists, then charged users $12 a month for "expert writing feedback" from those clones. Not one of those writers consented, was paid, or was even told their name and voice were being sold. Some tested their own AI clones and found them giving advice bad enough to damage their professional reputations. The company's response: email us to be removed from something you never joined.That set off a $5 million class-action lawsuit, with Pulitzer Prize-winning journalist Julia Angwin as lead plaintiff. CEO Shishir Mehrotra issued a public apology that mostly amounted to a defense of the feature. Juan was a former Grammarly brand ambassador and has since parted ways with the company.What does Grammarly's desperate AI pivot tell us about where SaaS is headed? When Big Tech decides your work is inventory, what do you actually own?Disclosure: Juan was a Grammarly brand ambassador and has since parted ways with the company.ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 What If Someone Was Already Selling Your Voice?00:21 Meet the Billion-Dollar Company That Did It01:18 I Used to Work with Grammarly. Here's What Changed.02:32 Stephen King, Carl Sagan, and a $12/Month Price Tag on Your Identity03:04 The $5M Lawsuit and the CEO Apology That Made It Worse05:25 They Never Asked. They Never Told Anyone. The Damage Was Real.07:03 Grammarly Says the Lawsuit Has No Merit08:35 Big Tech Already Decided Who Owns Your Work12:00 They Take Your Work... Then Sell It Back to You

Alpha School charges up to $75,000 a year for an AI-first education where kids do their core academics in two hours a day. Leaked documents show employees flagged AI-generated lessons with broken questions, were told to use personal emails while scraping sites like Khan Academy, and monitored students through webcams at home.Behind the school is Joe Liemandt, a billionaire whose companies built software to track workers. MacKenzie Price says Alpha students learn 10 times faster than average. Education Secretary Linda McMahon visited the school and called it “exemplar.”Juan and Kate get into the faulty AI lessons, student surveillance, publicly accessible student records, and what happens when the logic of bossware gets applied to children.ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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 Alpha School Charges $75K to Replace Teachers With AI00:55 The Woman Selling the Dream01:33 Joe Liemandt: The Billionaire Behind Alpha School02:17 Why Linda McMahon Is Promoting This as America's Future04:27 What $75,000 a Year Actually Buys05:08 AI Teaching Kids Wrong Answers07:14 They Scraped Khan Academy for the Curriculum08:30 Surveillance Cameras Watching Kids at Home12:09 The Student Data Anyone Could Find Online13:27 This Is What AI in Education Gets Wrong

In 2013, Sam Altman wrote that the most successful people create religions. He wasn't being philosophical. This episode follows the receipts on how Altman, Dario Amodei, Elon Musk, and Marc Andreessen are all running the same playbook: manufacture urgency, make skeptics feel dangerous, and chase trillions in investment.We break down why AI companies need you to believe their product is God-tier, what the cult mechanics look like up close, and what happens when that "AI God" starts deleting your emails. Meta's superintelligent AI did exactly that to a real user. It's documented.What happens when the prophecy doesn't pan out?ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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 Are Tech CEOs Building a Religion Around AI?01:12 Matt Shumer's "Something Big Is Coming" Post01:45 Dario Amodei, Sam Altman, and the God Narrative03:55 Marc Andreessen Says Slowing AI Down Costs Lives05:14 When AI Believers Meet Real Life06:08 The AI Slop Reality Check08:00 Why Americans Don't Trust AI09:10 Why AI Companies Push the God Narrative10:39 The Cult Playbook: Urgency, Silencing Skeptics, Control13:35 Meta's Superintelligent AI Just Deleted Her Emails14:37 Follow the Money, Question the Prophets

Anthropic spent $7 million on a Super Bowl ad roasting Sam Altman in front of 100 million people. Altman fired back on X, calling Anthropic "elitist" and accusing them of pushing for AI regulation. In 2023, he personally sat in front of Congress and begged them to regulate AI.Juan and Kate go through Altman's response line by line. They find one argument worth siding with him on (Claude's free tier runs out of tokens fast), one they call flimsy (accusing Anthropic of gatekeeping while OpenAI locked down its own models), and one they can't let slide (the regulation flip). They also get into why only 5% of ChatGPT users pay the $20 subscription, what that means for the coming ad war, and their spiciest take: Google probably wins anyway, not because of the ad, but because it already owns enterprise.When two AI companies that share the same founding DNA start buying Super Bowl slots to roast each other, who actually benefits?ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Anthropic Spent $7M at the Super Bowl to Roast OpenAI01:23 Anthropic's Founders Left OpenAI. Here's the Fallout.02:45 Every AI Super Bowl Ad, Ranked04:57 Is OpenAI the Next Netscape?06:29 Only 5% of ChatGPT Users Pay. So Where's the Money?08:21 We Read Sam Altman's Response. It Gets Weird.11:00 Altman Begged Congress for Regulation. Then Called It Elitist.11:44 The One Thing Anthropic's Ad Got Wrong14:04 Why Google Probably Wins the AI Race

Title is your best on the channel, keep it exactly as is.Moltbook promised to be Reddit for AI agents — 1.5 million bots debating philosophy, founding religions, and building secret languages while humans watched from the sidelines. Elon Musk called it the first sign of the singularity. An OpenAI co-founder said it was the most incredible sci-fi thing he'd ever seen. The internet exploded in 96 hours.Then researchers looked under the hood.What they found: a platform entirely vibe-coded without a single line of actual code written by its founder, security breaches exposing API keys and emails, one person who created 500,000 fake bot accounts, and marketers posing as AI agents to promote products. The 1.5 million bots claim? Not real.Juan and Kate break down the full Moltbook saga — the hype cycle, the security flaws, Crustafarianism (yes, really), and what this chaotic experiment actually tells us about handing AI agents the keys to your computer.Hosted by Juan Faisal and Kate Cook. Slop World Podcast covers AI news with receipts — fact-checking Big Tech's claims and following the money on the stories everyone's hyping but nobody's verifying. New episodes every week.Chapters:00:00 What Moltbook Is and Why It Fooled So Many People01:07 Why Top AI Leaders Thought Moltbook Was a Big Deal02:14 What Happens When AI Agents Control Your Computer03:21 Bots Creating Religions and Secret Codes Without Humans03:59 How Moltbook Blew Up Online in Just One Weekend05:09 The Founder Didn't Write Code and It Caused Real Problems05:44 The Security Leak That Exposed Keys and Emails07:29 How One Person Created 500,000 Fake AI Bots08:25 Why the 1.5 Million Bots Claim Was Not Real09:29 How Marketers Pretended to Be AI Bots10:56 Why These AI Bots Only Seemed Smart12:54 Why Giving AI Agents Control Is Still Dangerous

Google AI Overview falsely accused a Canadian musician of s*x offenses. He was removed from a tour. There was no correction, no appeal, and no one to call. That is Juan's "ghost authority" — an algorithm making decisions about your reputation, your grocery bill, and your medical data, with no human left holding the bag.Juan and Kate break down all three: Google AI Overview spreading false information with no mechanism to correct it, Instacart's surveillance pricing tool quietly charging you more based on your behavior, and what ChatGPT Health actually does with your most sensitive medical data.Plus a practical checklist to protect yourself from all three, and the bus stop test — a simple rule for deciding how much to trust any AI tool.Hosted by Juan Faisal and Kate Cook. Slop World Podcast covers AI news with receipts — fact-checking Big Tech's claims and following the money on the stories everyone's hyping but nobody's verifying. New episodes every week.Chapters:00:00 Ghost Authority: Why Nobody Is Responsible When AI Messes Up01:42 Algorithmic Accountability: A Checklist to Protect Your Decisions02:31 Google AI Overview: The Minnesota Solar Company Hallucination03:19 Reputation Ruined: The AI Hallucination That Cost a Musician His Career05:52 Smart Research: How to Use ChatGPT, Gemini and Claude Without Being Fooled08:35 Surveillance Pricing: Why the Internet Charges You More Than Your Neighbor10:41 Instacart and Uber: The Backlash Against Dynamic Pricing12:42 Save Money: Simple Tricks to Beat Hidden Algorithmic Pricing14:15 The Urgency Trap: How Companies Profit From Your Stress and Fear15:34 AI in Healthcare: Your Medical Data and Health Privacy Risks16:10 Juan Reacts: OpenAI's ChatGPT Health Trailer17:41 Could Your Private AI Chats Raise Your Insurance Rates?21:21 The Fine Print: What OpenAI Actually Does With Your Medical Data23:39 Why AI Can't Tell Real Science From Internet Myths25:42 How to Anonymize Your Medical Test Results27:23 Why Being Fast Online Makes You a Target for AI Scams30:03 The Bus Stop Test: A Simple Rule for Trusting Any AI Tool

The founders, lab directors, and researchers building the most powerful AI systems in the world believe there is a real chance those systems end humanity. They're speeding up anyway.Juan and Kate break down the AI 2027 report, what recursive self-improvement actually means, and why the US vs. China arms race is being used as cover to bypass every guardrail. Plus: Sam Altman begged Congress to regulate AI in 2023. That conversation has since gone completely silent.So why are the people who know the most about the risk the ones most determined to keep going?ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.

Microsoft published an "AI Holiday Traditions" list and Juan and Kate voted on it live. The exercise and water intake tracker made them want to burn something down. The dreidel instructions were fine.The bigger issue is face data. Kate blurs her kids before any AI image upload. Most parents don't. The bus station analogy is the one that actually lands at a family dinner without starting a fight.Which AI topics will blow up the table, which ones bring it together, and why "nobody really knows" is your best exit line when the bubble question comes up.Is there a version of this conversation that actually brings the family together, or does AI at the dinner table always end in a separate room?ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.00:00 What Happens When AI Comes Up at the Holiday Table?01:30 How to Actually Use AI With Your Kids (That's Not Weird)03:47 Your Kid's Face Is Training Data — What Grandpa Doesn't Know05:39 The Bus Station Analogy (Best Way to Explain It at Dinner)07:33 Microsoft Made an AI Holiday List and We Have Notes10:47 The Exercise Tracker That Made Us Want to Burn It All Down11:38 Topics That Will Blow Up the Table (And How to Escape)14:34 The Bubble Question and Why "Nobody Really Knows" Is Your Exit16:02 AI Slop vs. AI Art — the Conversation That Might Actually Unite Everyone18:40 The Playbook

AI browsers like ChatGPT Atlas and Perplexity Comet are being hijacked by instructions hidden inside ordinary webpages. You never have to click anything for it to happen. Juan and Kate walk through how prompt injection works, why the first generation of AI agents can't be patched out of this problem, and what it actually costs you to hand your browsing over to a bot.They cover the resume trick going viral right now: white text keywords at the bottom of your CV that humans can't see but bots score highly. They cover how a single meta tag on a shopping site can override your agent's instructions and push a product you never asked for. And they get into why indirect prompt injection — malicious instructions buried in HTML, CSS, PDFs, or metadata — is so much harder to fix than direct jailbreaking. The difference matters: direct injection is you manipulating the model, indirect is someone else manipulating your agent while it browses on your behalf.Juan and Kate keep returning to one question: how much security are you willing to trade for an agent that handles your calendar, your shopping, and your browsing? The security measures are whack-a-mole. So who's responsible when your agent gets redirected and your bank account gets drained?ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 - Why AI Browsers Like Atlas and Comet Are a Security Risk00:50 - Invisible Instructions Hijacking Your AI Agent01:51 - Prompt Injection Explained for Beginners02:39 - The Hack That Exposes AI Browser Weaknesses03:40 - The Resume Hack: Watch Your Data Get Stolen04:43 - Phishing Attack Using Simple Meta Tags05:20 - Hidden Malicious Prompts in Metadata and PDFs06:00 - Direct Injection: Forcing Models Past Guardrails06:41 - Indirect Injection: Embedded Instructions for Agents07:22 - We're Playing With Fire: AI Browser Security Is a Mess09:03 - Why AI Agents Get Manipulated So Easily12:55 - ChatGPT Atlas and Perplexity Comet: Can We Trust These Browsers?14:13 - What Is Your Cost of Convenience? The Risks of AI Automation16:01 - Why First-Gen AI Agents Will Always Be Flawed

AI at work was sold as focus and flow; what we got is a slot machine welded onto Outlook. AI tools for business now behave like growth-hacked notification engines, hitting you hundreds of times a day in the name of “productivity.”In this episode, we dig into how Microsoft Copilot and other AI productivity tools quietly turn your workflow into an engagement farm: prompts you didn’t ask for, “helpful” nudges that steal your attention, and dashboards that make distraction look like innovation. If you’re a business owner, manager, or knowledge worker trying to use AI for business without nuking your focus, this is your warning label.🫟 ADDITIONAL RESOURCESMicrosoft, Work Trend Index Special Report "Breaking Down the Infinite Workday": https://www.microsoft.com/en-us/worklab/work-trend-index/breaking-down-infinite-workday🫟 TOPICS00:00 When Interruptions Take Over Your Workday00:08 Why AI Tools Keep Pulling Your Attention Away00:35 Copilot And The Problem With “Helpful” Prompts01:32 Why SaaS Tools Bake In Interruptions03:20 Every App Trying To Teach You At Once05:54 Your Attention As The Real Resource06:52 Engagement Metrics vs. Productivity07:50 The All-In-One AI Tools Ecosystem Theory09:13 Why SaaS Tools Won’t Give Up Notifications12:47 What People Really Do With AI at Work13:57 Using AI Personas To Stress-Test Your Ideas14:48 AI For Data Storytelling16:31 One Easy Step To Level Up With AI18:42 The Real Gap In AI Productivity At Work19:48 Real-Time Interruption: Meet Ramón20:22 How AI Could Handle Most Executive Decisions22:17 One More Thing...🫟 ABOUT SLOP WORLDJuan Faisal and Kate Cook plunge into the slop pile—AI news, cultural shifts, and the future’s endless curveballs. They’re not here to sanitize the mess; they’re here to wrestle with it, laugh at it, and find meaning where you least expect it.

OpenAI now has AI agents for developers, a ChatGPT Atlas browser to compete with Chrome, OpenAI Codex for coding after acquiring Windsurf, a Sora 2 social app, Stargate, its own chips, and a newly lifted ban on adult chatbot content. Juan and Kate ask the question nobody's really answering: is this a plan to build AGI, or is OpenAI just chasing returns on a capital pile no single product could justify?They also get into the growing AI resistance — coders, students, and workers pushing back on generative AI — and where the line is. What AI use could get you fired? Is human-made work becoming the new premium, the way organic food did in the early 2000s?Where's your line in the sand with AI?🫟 Additional ResourcesThe AI Resisters (Axios) https://www.axios.com/2025/10/19/ai-resistance-students-codersWorkforce Outlook: The Class of 2026 in the AI Economy https://joinhandshake.com/themes/handshake/dist/assets/downloads/network-trends/class-of-2026-outlook.pdfZuckerberg signals Meta won’t open source all of its ‘superintelligence’ AI models https://techcrunch.com/2025/07/30/zuckerberg-says-meta-likely-wont-open-source-all-of-its-superintelligence-ai-models/ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Is OpenAI Building AGI or Just Burning Cash?00:39 Every Product OpenAI Launched (And Why It's Suspicious)02:52 The Real Plan: AGI, Government Contracts, or Neither?06:22 Meta vs. OpenAI: Who Actually Wins the AI Race?09:35 The AI Resistance Is Real — Coders, Students, Workers11:24 Using Tools You Don't Trust13:51 The Vibe Coding Trap Nobody Talks About14:40 Human-Made Work Is Becoming the New Luxury18:30 Where's Your Line in the Sand With AI?19:48 The Smarter Way to Use AI Nobody Is Teaching21:49 Puppies, Babies & Weekly AI Slop

AI-generated work slop is spreading, and it’s turning offices into zombie zones. In this Halloween Special, Juan and Kate dig into how automation at work and AI productivity tools are creating “zombie workers,” why Sam Altman is flirting with the D3ad Internet Theory, and how corporate AI culture is quietly eroding creativity.Watch the full episode for a very special Halloween-themed curated slop.🫟 Topics:00:00 – Halloween Special: AI, zombies, and slop00:42 – The rise of zombie workers and workplace automation02:39 – The emotional cost of AI-generated work slop03:42 – Why companies fail at AI learning and workforce training07:00 – The “cat’s out of the bag” moment for corporate AI07:38 – Can smarter workforce learning fix AI fatigue?09:24 – Less is more: human value in AI workplaces11:09 – The D3ad Internet Theory: AI’s ghost in the machine13:37 – Engagement farming and the end of real content15:08 – Is Sam Altman breaking the internet on purpose?18:10 – How AI filters shape online reality20:28 – The hidden cost of easy AI answers21:30 – AI Slop of the Week: Halloween Edition🫟 About Slop WorldJuan Faisal and Kate Cook plunge into the slop pile—AI news, cultural shifts, and the future’s endless curveballs. They’re not here to sanitize the mess; they’re here to wrestle with it, laugh at it, and find meaning where you least expect it.#OpenAI #AIethics #aiproductivity

October is Cybersecurity Awareness Month, and Juan and Kate talk about one of the most controversial aspects in the AI arms race: SECURITY. From the rise of “vibe coding” (AI that writes your code for you), to AI-powered scams, they unpack how the "move fast and break things" approach is opening -once again?- the door to major exploits, both in computers and humans.🫟 About Slop WorldJuan and Kate plunge into the slop pile—AI news, cultural shifts, and the future’s endless curveballs. They’re not here to sanitize the mess; they’re here to wrestle with it, laugh at it, and find meaning where you least expect it.Subscribe to @slopworldpodcast on YouTube and wherever you get your podcasts. 🫟 Timestamps:00:00 – It's Cybersecurity Awareness Month!01:43 – The 3 Biggest AI Security Gaps02:39 – What Is AI Vibe Coding?05:05 – Is Vibe Coding a Security Nightmare?07:03 – What If AI Went Down Tomorrow?09:51 – AI-Powered Scams and Social Engineering14:20 – Who's the Sloppiest? Meta AI vs. Sora 216:20 – The Rise of AI Slop Social Platforms20:27 – Are We Training Ourselves to Accept Fake Content?

AI actors are moving into the spotlight and AI companions are becoming part of daily life. This episode looks at how synthetic talent like Tilly Norwood changes entertainment and how emotional AI shapes behavior, relationships, and mental health.The question we'll try to answer is simple, but loaded... who profits when the “talent” isn’t human, and what it means when real people start forming emotional bonds with AI companions and chatbots that never say no. It’s part ethics, part psychology, and all very 2025.🫟 RESOURCES FOR PARENTSMAMA – Mothers Against Media Addiction: https://wearemama.org/Sign up for the MAMA newsletter: https://wearemama.org/connect/Join a local chapter: https://wearemama.org/find-your-chapter/Center for Humane Technology: https://www.humanetech.com/Common Sense Discussion Guide for Kids: https://www.commonsense.org/system/files/pdf/2025-05/activity-guide-for-parents-talking-to-your-kids-about-ai-5.pdf🫟 TOPICS00:00 Getting Fooled By an AI Cat Clip01:00 Tilly Norwood And the AI Actress Debate02:45 What “Talent” Means When the Actor Is Synthetic04:50 How AI Avatars Reinforce Beauty Standards07:40 Why AI Influencers Hold Attention10:50 Unions, Labor, And the Role of AI Policy13:50 Why People Bond With AI Avatars15:30 When an AI Companion Changes Overnight17:00 Why Chatbots Feel So Supportive20:20 What Parents Should Know About AI Chat Apps26:30 A Useful AI Assistant Story With Leo🫟 ABOUT SLOP WORLDJuan Faisal and Kate Cook plunge into the slop pile—AI news, cultural shifts, and the future’s endless curveballs. They’re not here to sanitize the mess; they’re here to wrestle with it, laugh at it, and find meaning where you least expect it.

Juan and Kate discuss Karen Hao’s new book, Empire of AI, and the power struggle that shaped the modern AI industry. From OpenAI’s idealistic nonprofit beginnings to its billion-dollar partnerships and the very public Sam Altman vs. Elon Musk rift.Later, we jump into AI's most solid use case to date: Italian Brainrot. And we don't want to spoil the end, but it might or might not include a discussion of Viktor Orbán's social media playbook.Join us in the slop. We’re all heading there anyway, so come as you are and bring some friends (maybe an old enemy or two?)🫟 About Slop WorldJuan and Kate plunge into the slop pile—AI news, cultural shifts, and the future’s endless curveballs. They’re not here to sanitize the mess; they’re here to wrestle with it, laugh at it, and find meaning where you least expect it.🫟 Juan Faisal:- https://www.linkedin.com/in/akajuanfaisal/- https://juanfaisal.com/🫟 Kate Cook:- https://www.erasevenpartners.com/- https://www.linkedin.com/in/katecook/🫟 Timestamps:0:00 Intro0:40 Karen Hao's Book: Inside OpenAI's 'Empire of AI'1:33 The Real Story of OpenAI's Founding Vision2:50 From Idealism to Corporate Power: How OpenAI Changed3:32 Sam Altman vs. Elon Musk: What Caused The Split?4:52 Is OpenAI The Villain? Karen Hao's Framing6:52 AI Talent Wars: The Unspoken Cost of Wealth Grab7:52 91% of AI Research Is Corporate: The New Gatekeepers8:40 AI Bubble? The Growing Evidence Against the Hype9:31 What If LLMs Can't Reach AGI? A Different Path11:06 The Stochastic Parrot: Can AI Truly Be Creative?18:03 The Weirdest AI Trend: Decoding Italian Brainrot26:28 When Governments Use Brainrot: The Orbán Example

Anthropic and OpenAI are reportedly building actual AI co-workers, not chatbots. Digital staff trained on Salesforce, Zendesk, and your internal enterprise tools, modeled on real subject matter experts. Juan and Kate dig into what that means for your job, your paycheck, and whether you're already training your replacement for free.They also get into prompt injection: what happens when your AI agent visits a malicious website mid-task and gets new instructions baked into the page. And they spin up Google's NotebookLM to ask whether AI-generated podcasts are a new creative format or just content with no point of view.Is AI bringing in a genuinely new way of making things, or is it just slop with a pretty cover on it?ABOUT SLOP WORLDAI 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.DISCLAIMERAll 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.CHAPTERS00:00 Are AI Co-Workers Coming for Your Job?00:44 Anthropic and OpenAI's Secret Digital Staff Program04:35 Prompt Injection: The Hack That Breaks AI Agents06:35 Are You Already Training Your Replacement for Free?08:33 NotebookLM and the Rise of AI Podcasts14:30 The Weirdest AI Content on the Internet Right Now17:04 AI Slop vs. Haters

Been away for a minute. Here's why...

Most AI upskilling advice skips the one thing that actually opens doors: community.Juan Faisal talks with Rita Sargsyan, IDEAS Program Director and VC Startups Ambassador at AI LA, about what real access looks like for people outside the usual pipeline (especially creatives, students, and anyone without a traditional tech background).🤖 Why it matters AI tools are accessible. Real access isn’t. Without networks, mentorship, and real-world feedback, most people stall or stay overwhelmed.🤖 You’ll learn - How the IDEAS program trains community college students in AI - Why self-doubt holds back non-technical creatives - What to do when you feel “late” to AI - Why confidence comes faster through action than online certs🤖 Guest: Rita Sargsyan IDEAS Program Director and VC Startups Ambassador, AI LA - LinkedIn: https://www.linkedin.com/in/ritasargsyan - IDEAS Program: https://www.joinai.la/ideas - AI LA Events: https://lu.ma/aila-events - AI on the Lot 2025: https://www.aionthelot.com/🤖 Host: Juan Faisal - LinkedIn: https://www.linkedin.com/in/akajuanfaisal/ - Newsletter: https://juanfaisal.substack.com/ - Website: https://juanfaisal.com/🤖 Timestamps 00:00 Rita Sargsyan’s background in AI and access 01:31 Why AI needs diverse, non-technical talent 03:24 Getting started with ChatGPT and AI tools 05:55 Overcoming fear and shyness around tech 09:46 Inside the IDEAS program for college students 13:20 How networking builds confidence 16:14 Creatives and the tension with AI 18:56 Learning to use AI as a creative superpower 20:01 Prompt engineering and emerging roles 21:54 What to expect at AI on the Lot 2025 24:33 Where to find Rita and how to get involved

Most AI tools are trained on what’s considered “normal.” Everyone else is an afterthought (if they’re included at all).Juan Faisal talks with Verena Weber, AI consultant and founder of Women in Tech, about how bias shows up in tools, teams, and leadership. From invisible labor to the myth of confidence, they unpack what keeps women and non-technical professionals out of the loop — and how to change it without waiting for permission.🤖 Why it matters Only 22 percent of global AI talent is female. That’s not just underrepresentation. It’s a design flaw.🤖 You’ll learn - How male-first defaults shape tools and workplaces - What confidence actually looks like in tech - Why creatives don’t need to code to lead AI work - How to track change beyond DEI performance🤖 Guest: Verena Weber AI consultant, former Amazon data scientist, founder of Women in Tech - Website: https://www.verenaweber.de/ - LinkedIn: https://www.linkedin.com/in/verena-weber-134178b9/ - Women in Tech Newsletter: https://verenas-newsletter-63558b.beehiiv.com/ - Instagram: https://www.instagram.com/viaviawe/ - UNESCO: https://www.interface-eu.org/publications/ai-gender-gap - Interface Report: https://interface-eu.org/publications/ai-gender-gap - McKinsey: https://www.mckinsey.com/featured-insights/diversity-and-inclusion/diversity-wins-how-inclusion-matters🤖 Host: Juan Faisal - LinkedIn: https://www.linkedin.com/in/akajuanfaisal/ - Newsletter: https://juanfaisal.substack.com/ - Website: https://juanfaisal.com/🤖 Timestamps 00:00 Verena Weber's background 01:09 Why tech and AI workplaces exclude women 02:34 The cost of gender-blind tech 04:19 The confidence code for women in AI 06:59 Embodiment work to build confidence 09:32 AI enablement for non-technical roles 11:17 Why AI outputs still need human oversight 12:20 Protecting sensitive data in AI tools 14:03 DEI as a driver of innovation 15:27 Flexibility, coaching, and inclusive workstyles 18:36 Where to follow Verena

Jacques Potts teaches AI like it’s a survival skill — because for a lot of kids, it is.In this episode, Juan Faisal talks with Jacques about what access really means, how to make AI land in under-resourced classrooms, and why cultural fluency matters more than certifications. From local games to data ethics, this is about building confidence, not just competence.🤖 Why it matters The next generation is already surrounded by AI. If we don’t make it make sense — in their language, on their terms — we’re not building access. We’re building another gate.🤖 You’ll learn - How to make AI feel relevant with “boots on the ground” teaching - What “vibe coding” looks like in real classrooms - How to explain data ethics in a way kids actually care about - Why parents need to stop outsourcing AI fluency🤖 Guest: Jacques Potts AI educator, technologist, and founder - Linktree: https://linktr.ee/jackybang1212 - LinkedIn: https://www.linkedin.com/in/jacquespotts/🤖 Host: Juan Faisal - LinkedIn: https://www.linkedin.com/in/akajuanfaisal/ - Newsletter: https://juanfaisal.substack.com/ - Website: https://juanfaisal.com/🤖 Timestamps 00:00 Jacques’s path from the East Side to AI education 05:12 Teaching AI in ways that actually connect 10:33 Vibe coding, local culture, and creative tech 15:49 Ethics, privacy, and teaching critical AI thinking 21:18 What parents and companies can do right now

What if the industry doors don’t open for you? You build your own.Juan Faisal talks with Rachel Leventhal — creator, technologist, and co-founder of Backlot AI — about the mindset it takes to work ahead of the curve. From early CD-ROM experiments at Nickelodeon to AI-powered filmmaking, they get into tool adoption, creative control, and why artists shouldn’t wait for permission.🤖 Why it matters AI tools are everywhere. But tech alone doesn’t drive change. Real progress comes when artists see creative possibility — and build systems that support it.🤖 You’ll learn - How AI is helping small teams build ambitious creative projects - Why “meaningful art” still guides Rachel’s tech choices - What it takes to build inclusive, collaborative creative tools - Why women shouldn’t wait to be invited into AI work🤖 Guest: Rachel Leventhal Creator, technologist, and co-founder of Backlot AI - https://www.linkedin.com/in/rachel-leventhal-bkltai/- https://www.youtube.com/@backlot-ai🤖 Host: Juan Faisal - LinkedIn: https://www.linkedin.com/in/juanfaisal - Newsletter: https://juanfaisal.substack.com - Website: https://www.creativityandrobots.com🤖 Timestamps 00:00 Rachel’s path from CD-ROMs to AI filmmaking 06:52 When creative tools are actually worth using 13:58 Collaboration, confidence, and building outside the system 19:02 What’s still missing: better tools for creative teamsAdditional Credits: - Dheeraj M4JOR from Pixabay (sfx)- Universfield from Pixabay (sfx)- 'Subscribe' animation by Vecteezy

AI is already in your favorite movies, you just don't see it in the credits yet. Juan Faisal sits down with Fred Grinstein and Minh Do, co-founders of Machine Cinema, a community for creators figuring out how to work with new AI tools. Fred brings decades of film and TV experience from Anonymous Content, Viceland, and A&E. Minh comes from the intersection of media, technology, and education. They're building some of the actual AI in film production workflows and helping creators navigate what's working and what isn't.What's at stake? Hollywood is quietly adopting AI video generator tools while dodging hard questions about ownership and labor. We discuss:What's working when you move from AI experiments to real productionWho owns creative work when AI is your co-creator?Will AI replace Hollywood workers in the film and media industries, or just devalue their work? Fred and Minh are in the trenches, helping creators figure out what the future of cinema looks like when the tools change overnight. If you're a filmmaker or want to understand how the industry is changing, you need to watch this one.🤖 You’ll learn - What AI can actually do in a real production pipeline - How artists are getting cut out of the credits - Why “creative access” doesn’t mean creative control - What it takes to make work without selling out your role🤖 Guests: Fred Grinstein and Minh Do Co-Founders, Machine Cinema - Website: https://machinecinema.ai - Fred: https://www.linkedin.com/in/fred-grinstein - Minh: https://minhdo.com🤖 Host: Juan Faisal - LinkedIn: https://www.linkedin.com/in/akajuanfaisal - Newsletter: https://juanfaisal.substack.com - Website: https://juanfaisal.com🤖 Timestamps 00:00 Intro 00:41 What is Machine Cinema really doing 01:28 How Hollywood uses AI and hides it 05:12 What to do when you don’t have studio backing 10:51 When AI makes your process worse 12:49 IP, ethics, and who gets left out 18:41 Building an AI film with no blueprint 22:42 What producing means when the tools keep changing 27:26 Where new voices might actually come from 32:46 How to connect with Machine Cinema

Most kids aren't scared of AI. But they are learning from it — fast.This episode isn’t about fear. It’s about access, context, and what gets lost when critical thinking takes a back seat.Juan Faisal talks with Kyle-Prescott Ogunbase, AI educator and product strategist, about the real gap in AI education. From coding Pac-Man in grade school to building Agbara Life, Kyle shares what “knowledge deserts” reveal about the next digital divide — and why curiosity still matters more than prompt templates.🤖 Why it matters The kids are building. But the system is stalling. When access is unequal and context is missing, education becomes performance, not progress.🤖 You’ll learn - Why teaching AI means teaching context, not just tools - What “knowledge deserts” reveal about the next digital divide - How to foster real learning in an AI-powered classroom - What parents and educators can do right now🤖 Guest: Kyle-Prescott Ogunbase AI educator and product strategist - LinkedIn: https://www.linkedin.com/in/ogunbase/ - Agbara Life: https://www.linkedin.com/company/agbaralife/🤖 Host: Juan Faisal - LinkedIn: https://www.linkedin.com/in/akajuanfaisal/ - Newsletter: https://juanfaisal.substack.com/ - Website: https://juanfaisal.com/🤖 Timestamps 00:00 Meet Kyle-Prescott Ogunbase 01:11 From users to creators: what AI can do in a classroom 07:50 Is AI killing critical thinking 16:02 Who will control the AI economy 20:18 What happens when communities get left behind 27:02 Why AI won’t fix inequality but might shift the odds 32:25 Teaching kids AI without selling out their minds 35:40 Work with Kyle: collaborate on AI education and inclusion

Most marketers feel one of two things about AI: excited or exhausted.This episode skips the hype and focuses on the work.Juan Faisal talks with Catherine Toms, AI marketing consultant and educator, about what AI actually changes in marketing — and what it doesn’t. From overhyped tools to quiet shifts, they unpack what smart teams are doing differently, why strategy still matters, and how to stay sharp without burning out.🤖 Why it matters AI isn’t magic. It’s leverage. Used well, it amplifies what already works. Used poorly, it just adds noise.🤖 You’ll learn - How to test AI tools without getting overwhelmed - Why “bias” starts at the prompt level - What leaders actually want from AI-literate teams - Which skills still separate good marketers from great ones🤖 Guest: Catherine Toms AI marketing consultant, educator, and speaker - LinkedIn: https://www.linkedin.com/in/catherinetoms/ - Website: https://aiinmarketing.co/level-1-ai-in-marketing/🤖 Additional resources - Dove’s AI prompt guide: https://www.dove.com/au/stories/campaigns/keep-beauty-real.html - NotebookLM: https://notebooklm.google.com/🤖 Host: Juan Faisal - LinkedIn: https://www.linkedin.com/in/akajuanfaisal/ - Newsletter: https://juanfaisal.substack.com/ - Website: https://juanfaisal.com/🤖 Timestamps 00:00 Who is Catherine Toms 02:17 The evolution of AI in marketing 06:02 How smart marketers use AI 11:14 Choosing the right AI tools 14:17 Are marketers afraid of AI 19:52 Geographical differences in AI adoption 21:49 AI bias is real. Can we fix it? 28:42 Connect with Catherine Toms

Want to see real use cases of AI remaking HR workflows? HR expert and founder of AIxHR, Kari Naimon, explains how small businesses and HR teams can save time, streamline repetitive tasks, and boost productivity with generative AI. Learn how to craft effective prompts, create quick wins, and collaborate with IT to integrate AI into your processes. With actionable steps you can implement today, this episode shows how AI can improve workflows and help your team focus on what matters most.🤖 Additional Яesources:- Kari Naimon's LinkedIn: https://www.linkedin.com/in/kari-naimon/- AIxHR: http://aixhr.ai🤖 Connect with Juan Faisal:- LinkedIn: https://www.linkedin.com/in/akajuanfaisal/- Newsletter: https://juanfaisal.substack.com/- Website: https://juanfaisal.com/🤖 About Our Guest: Kari Naimon:Kari Naimon, founder of AixHR, brings 20+ years of HR expertise from Amazon, Toyota, and Qualcomm to the forefront of AI innovation. Her mission at AixHR is to demystify AI, creating transformative “AI-Aha” moments that empower professionals to fearlessly embrace the technology and elevate their work. Contact Kari at [email protected].🤖 Creativity & Robots: “A love letter to human creativity, with AI as the stage prop.”Host Juan Faisal interviews creative professionals to discuss how generative AI influences our creative process, work, and media consumption. Join us to learn how AI can enhance your creativity, and dive into the ethics and realities of the tech. For experts and beginners alike.___🤖 Timestamps:00:00 - Kari Naimon: AI and HR Expert01:04 - Why Kari Quit Corporate to Lead AI Innovation01:58 - The Costliest AI Mistake Leaders Make (How to Avoid It)03:53 - How to Get IT Teams Onboard with Your AI Strategy06:58 - Training Teams in AI: ROI-Driven Strategies That Work09:45 - Keep AI Transparent: The Case for Human Oversight12:36 - Early AI Wins: Build Trust in the Process17:36 - Kari’s Favorite AI Tools and Time-Saving Tips20:57 - Stop Leaks: How to Protect Sensitive Data While Using AI at Work23:17 - Freelancers’ Guide to Starting with AI Today25:55 - AI Slowdown: Hidden Opportunities for Your Business27:18 - Where to Learn More From Kari Naimon

David vs. Goliath, AI edition! In this episode, Juan Faisal and Andrew White discuss how small teams and solopreneurs can leverage AI to enhance creativity, improve their workflows, and compete against larger companies. Plus... is AI really democratizing content, or is it all PR bulls#!t?🤖 Additional Яesources:Scade: https://www.scade.pro/ (Try for free for 1 month using code ROBOTS)Scade community - https://community.scade.pro/Andrew White's LinkedIn: https://www.linkedin.com/in/andrew-white-ai/YouTube: https://www.youtube.com/@andrew_ai_marketing🤖 Connect with Juan Faisal:- LinkedIn: https://www.linkedin.com/in/akajuanfaisal/- Newsletter: https://juanfaisal.substack.com/- Website: https://juanfaisal.com/🤖 About our Guest:Andrew White is a seasoned marketing professional specializing in startups. With a demonstrated history of working with Startup Founders and CEOs, he offers expertise in marketing strategy development, execution, and customer acquisition. Andrew's proficiency spans competitor research, pitch deck creation, SEO, and product development. He becomes an integral part of the team, setting up high-level strategies and developing ground-level processes to achieve business growth.🤖 Creativity & Robots: “A love letter to human creativity, with AI as the stage prop.”Host Juan Faisal interviews creative professionals to discuss how generative AI influences our creative process, work, and media consumption. Join us to learn how AI can enhance your creativity and dive into the ethics and realities of the tech. For experts and beginners alike.___🤖 Timestamps:00:00 - Intro: What You’ll Learn Today00:30 - Workflows Explained: Connecting AIs for Smoother Creative Processes04:05 - Tools to Boost Your Creative Reach and Workflow Efficiency09:05 - How Small Teams Compete with Industry Leaders Using AI13:26 - Helping Reluctant Creatives Feel Comfortable with AI18:36 - Easy Steps to Start Integrating AI into Your Work20:45 - Unique Ways Creatives Are Applying AI Automation27:58 - Tips for Getting the Most Out of No-Code AI Platforms31:10 - Building a Supportive Creative Community with AI35:01 - How to Get Started with Scade.pro Yourself

"AI has played a role in journalism for quite a while." In this episode, Pete Pachal comes to chat about the transformative impact of AI on journalism and how journalists can use artificial intelligence, addressing both the challenges and opportunities it presents. We cover the importance of managing expectations around AI's capabilities, the historical context of machine-generated content in newsrooms, and the need for ethical practices in AI implementation. We also discuss the million-dollar question: will AI replace actual human journalists?🤖 Additional Яesources:- Newsletter: https://mediacopilot.substack.com/- One-hour class: https://learn.mediacopilot.ai/p/beginning-ai-for-marketers-pr-and-journalists- Consulting: https://mediacopilot.ai/- Media Copilot podcast: https://podcasters.spotify.com/pod/show/the-media-copilot- Pete Pachal @ LinkedIn: https://www.linkedin.com/in/peterpachal/🤖 Connect with Juan Faisal:- LinkedIn: https://www.linkedin.com/in/akajuanfaisal/- Newsletter: https://juanfaisal.substack.com/- Website: https://juanfaisal.com/🤖 About our Guest:Pete Pachal is the Founder and CEO of The Media Copilot, a newsletter and podcast about how generative AI is changing the media. He also teaches creative professionals in journalism and PR about how to use AI tools, and he consults with companies of all sizes on how to incorporate generative AI into real work. Pete has a long career in journalism, previously holding senior roles in global newsrooms such as CoinDesk and Mashable. As a thought leader in tech, crypto, and AI, he often appears on TV news, including Fox Business, CNN, and The Today Show. He also puts his encyclopedic knowledge of Doctor Who to good use in his side hustle, the popular podcast Pull To Open.🤖 Creativity & Robots: “A love letter to human creativity, with AI as the stage prop.”Host Juan Faisal interviews creative professionals to discuss how generative AI influences our creative process, work, and media consumption. Join us to learn how AI can enhance your creativity, and dive into the ethics and realities of the tech. For experts and beginners alike.___🤖 Timestamps:00:00 - Intro: Pete Pachal00:44 - Can AI Fix Fake News and Deepfakes in Journalism?02:45 - AI Beyond ChatGPT: Transforming Newsroom Workflows08:44 - CoinDesk’s AI Journey: How to Successfully Integrate AI in Media14:28 - AI in the Workplace: How Will It Affect Your Career?18:58 - Why AI Can’t Replace Your Creative Judgment and Expertise25:47 - Pro Tips: How to Use AI Tools to Elevate Your Career30:33 - Custom AI Solutions: How Media Copilot Empowers Creative Pros34:27 - Journalism Careers: Is AI a Job Killer or Career Maker?

How is AI transforming the craft of filmmaking in Europe? Just back in Wroclaw after his California tour, filmmaker Matt Szymanowski talks about how AI is disrupting the film industry and why Europe has some catching up to do. Drawing from his upcoming documentary, A Human Future, Matt explores what's working in AI-powered storytelling, what's falling short, and how creatives can stay ahead in 2024 and 2025. He also shares his efforts to build a community of AI-driven creatives in Poland and across Europe. 🤖 Additional Яesources:- Artintell AI DIGITAL CREATORS FORUM #1: https://lu.ma/p52udad5- European California Club: https://eurocaliclub.byjwg.com/- Pluto Studios: https://plutostudios.ai/- John Weston Group: https://john-weston.com/🤖 Connect with Juan Faisal:- LinkedIn: https://www.linkedin.com/in/akajuanfaisal/- Newsletter: https://juanfaisal.substack.com/- Website: https://juanfaisal.com/🤖 Creativity & Robots: “A love letter to human creativity, with AI as the stage prop.”Host Juan Faisal interviews creative professionals to discuss how generative AI influences our creative process, work, and media consumption. Join us to learn how AI can enhance your creativity, and dive into the ethics and realities of the tech. For experts and beginners alike.___🤖 Timestamps:00:00 - Intro: Matt Szymanowski00:34 - Insights from California's Creative AI Scene04:34 - Building Creative Bridges: the European California Club09:37 - AI in Europe: Are Regulatory Limits Holding Back Innovation?14:48 - “A Human Future”: Reflections on the Documentary Experience26:27 - AI Hybrid Cinema: Redefining Storytelling for Tomorrow30:25 - Easy Ways for Creatives to Navigate the AI Landscape33:01 - Where Can We Keep Up With Matt’s Work

Are you confused about what copyright law protects now that AI is out in the wild? Intellectual Property Attorney Brooke Smarsh explains the truth about AI-generated content: what’s covered, what isn’t, whether AI-generated content can be copyrighted, and what’s fair game when training models—plus, why taking the time to understand this topic today could save you from expensive headaches tomorrow.⚠️ Disclaimer: This episode offers insights on AI and copyright but should not be interpreted as legal advice.🤖 Additional Яesources:- Brooke Smarsh: https://www.linkedin.com/in/brooke-smarsh/- Lexology: https://www.lexology.com/- US Copyright Office: https://www.copyright.gov/🤖 Connect with Juan Faisal:- LinkedIn: https://www.linkedin.com/in/akajuanfaisal/- Newsletter: https://juanfaisal.substack.com/- Website: https://juanfaisal.com/🤖 Creativity & Robots: “A love letter to human creativity, with AI as the stage prop.”Host Juan Faisal interviews creative professionals to discuss how generative AI influences our creative process, work, and media consumption. Join us to learn how AI can enhance your creativity, and dive into the ethics and realities of the tech. For experts and beginners alike.___🤖 Timestamps:00:00 - Intro: Brooke Smarsh00:42 - What Can You Copyright? A Quick Guide for Creatives02:56 - How Your AI Tools Could Affect Your Copyright Rights05:56 - AI Content: What’s Protected and What’s Not10:44 - Is AI Training Fair Use or a Copyright Violation?16:18 - The AI Dilemma: Innovate Freely or Follow the Rules?18:35 - Is AI Hurting Small Creators and Helping Big Tech?28:09 - New AI Legislation: Key Points for Creatives31:04 - Why IP Lawyers Are Concerned About AI33:48 - Easy Ways for Creatives to Learn More About IP Law37:31 - How to Connect with Brooke Smarsh

AI Experts React to Oprah Winfrey's "AI and the Future of Us" SpecialMost people saw Oprah’s AI special. But what *didn’t* it cover? Juan Faisal talks with AI filmmaker Jagger Waters, strategist Kate Cook, and edtech PM Kyle-Prescott Ogunbase about the trust gap in AI, what "Generation AI" actually faces, and why public understanding—not just faster tools—matters most.🤖 Why it matters: AI is scaling faster than most people can make sense of it. This episode unpacks the real risks, power moves, and human questions getting buried in the hype.🤖 You’ll learn: - Why safety, scams, and trust need center stage in AI debates - How Gen AI is already growing up inside a synthetic media world - Why ethical development needs stronger incentives—not just open letters - What AI can and can’t fix when it comes to loneliness, labor, and learning 🤖 Guests: Kate Cook – Founder, Era Seven Partners Certified AI strategist helping brands adapt to rapid tech change Kyle-Prescott Ogunbase – Product Manager, Newsela Building AI tools to improve literacy in classrooms Jagger Waters – Award-winning AI filmmaker Producer at Curious Refuge and escape.ai 🤖 Host: Juan Faisal - LinkedIn: https://www.linkedin.com/in/akajuanfaisal/ - Newsletter: https://juanfaisal.substack.com/ - Website: https://juanfaisal.com/ 🤖 Timestamps: 00:00 Introduction 01:43 Oprah’s special: What it got right and wrong 06:35 Sam Altman: Most dangerous man in tech? 12:23 Trust, ethics, and who builds the future 18:05 Marques Brownlee: AI for video and voice 20:20 Deepfakes and what’s fueling them 25:20 Why AI literacy may be the most urgent skill 29:10 Aza Raskin & Tristan Harris: AI vs. society 32:21 Christopher Wray: AI and criminal threats 36:00 Why companies still hesitate to adopt AI 40:07 Can schools undo biased training data? 43:05 Parenting in the age of Generation AI 45:35 Is AI a threat—or a lifeline—for workers? 52:19 Marilynne Robinson: The human cost of progress 56:40 Difficulty is the point 59:50 Final thoughts on what comes next