What if your content is too good… and gets flagged as AI?
In this episode, I show how today’s detection tools — from LinkedIn’s silent watermarking to DetectGPT — are quietly reshaping how content is judged. I even test a real academic abstract I wrote in 2015 (pre-GPT), and guess what? It gets flagged as machine-made.
We break down:
🔍 LinkedIn’s new tagging system and silent watermarking
📉 How DetectGPT and zero-shot detection methods work — and why they’re failing
✍️ What watermarking looks like in text (not just images)
🧬 How models like MarkLLM embed digital fingerprints into LLM outputs
♻️ Why paraphrasing attacks break detection systems
🛠️ The commercial tools you can actually use to detect AI-generated content today
Whether you’re an educator, creator, or building AI apps at scale — this is a must-watch for understanding the shifting ground of AI authenticity.
📌 Chapters:
00:00 Introduction: Why your content might get flagged
03:23 The Rise (and Fall) of DetectGPT
12:25 Invisible Watermarks in Text and Images
17:15 How MarkLLM Watermarks LLM Outputs
22:57 Breaking the Detection Models: Jailbreaks & Attacks
28:42 Commercial AI Detection Tools You Can Use Today
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References:
https://abcnews.go.com/US/baltimore-high-school-athletic-director-ai-create-fake/story?id=109638535
https://www.washingtonpost.com/technology/2023/05/18/texas-professor-threatened-fail-class-chatgpt-cheating/
https://arxiv.org/abs/2405.10051
https://arxiv.org/abs/2301.11305
https://arxiv.org/abs/2305.09859
https://arxiv.org/abs/2304.04736
https://arxiv.org/abs/2303.13408
https://arxiv.org/abs/2306.04634
https://originality.ai/blog/how-does-ai-content-detection-work
https://simple.wikipedia.org/wiki/Vastav_AI
https://medium.com/freelancers-hub/best-ai-detectors-2025-35a58eac86c5
https://zapier.com/blog/ai-content-detector/
https://detecting-ai.com/blog/the-best-ai-content-detectors-in-2025
