The internet is drowning in AI-generated garbage. From Meta's Vibes to Sora 2 to that clearly ChatGPT generated email from your colleague, businesses are losing an estimated $9 million per 1,000 employees annually to low-quality AI content cluttering their workflows.

This isn't about AI being bad. It's about automation without oversight creating an exponential pollution problem that's actively degrading the internet, tanking workplace productivity, and threatening the future training data for AI models themselves. There's no doubt that AI can generate impressive content. The quality of text, images, and video from tools like Sora is legitimately good. So why is there so much slop? Because quality isn't the problem - quality control is. When humans skip the editing, validation, and value-add steps, you get automation without judgment. And at scale, that's disastrous.

Welcome to the world of "AI Slop" - and if you're using AI tools (which you should be), you need to understand the difference between AI-assisted content that adds value and automated garbage that's making everything worse. We also cover a major update from Google that flew under the radar (and why it matters for AEO), a major AI scam running on Spotify, and (even more) big news from OpenAI's Dev Day 2025.

What You'll Learn:

• What AI Slop actually is (and why it's different from good AI-assisted content)
• Why Google killed the 100-result URL parameter and what it reveals about bot traffic
• The $9 million problem: How WorkSlop is destroying productivity at scale
• Model collapse explained: Why AI trained on AI content degrades into uselessness
• Sora 2's explosive launch and the TikTok-ification of synthetic media
• Why AI detection tools don't work (and the 6,000 students falsely accused)

Timestamps:

00:00 Intro: Poker Face & Getting Our Heads Straight

06:05 AEO Update: Google Just Changed Everything (Again)

16:04 AI Slop Defined

19:53 Sora 2 & Meta's Vibes: The TikTok-ification of Synthetic Media

24:17 Three Ways AI Slop is Breaking the Internet (And Future AI Models)

30:02 WorkSlop: The $9 Million Productivity Black Hole

37:55 The Anti-Slop Framework

44:29 AI News of the Week: OpenAI Dev Day Breakdown

48:03 AI News: What AI Hardware Could Look Like

49:31 AI News: Democratizing AI Fine-Tuning for SMBs

53:23 AI Gone Wrong: When 6,000 Students Got Falsely Accused by Turnitin

57:27 Key Takeaways: Navigating AI Challenges

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