Uploaded August 2026 | Updated September 2026, 2 weeks ago
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AI companies have spent years scraping images, voices, writing, and other content from the internet to train their models. Now artists, photographers, writers, and ordinary users are starting to fight back by turning the very data those systems collect into a trap.
This video explores tools like Glaze and Nightshade, which subtly modify images so they look normal to humans while confusing the AI models that train on them. Researchers have shown that just a small number of poisoned images can corrupt individual concepts, causing models to generate distorted animals, confuse objects, and eventually degrade the quality of their own output.
We also examine SafeSpeech, which applies a similar idea to voice recordings, making AI voice cloning more difficult while leaving the audio sounding normal to human listeners. As AI companies develop new defenses, creators are responding with stronger poisoning techniques, creating an escalating arms race over who controls online data.
For years, AI companies treated the internet like an unlimited source of free training material. Now creators are turning that assumption against them. If the scrapers keep taking everything, they may eventually start poisoning themselves.
00:33 - What a Poisoned AI Model Looks Like
01:49 - How Little Data It Takes to Break AI
04:35 - Why Creators Started Fighting Back
06:15 - Glaze: Hiding Art from AI
07:30 - Nightshade: Poisoning the Training Data
09:45 - Protecting Your Voice from AI Cloning
11:39 - The AI Data Arms Race
13:30 - The Hidden Cost of Poisoned Data
14:40 - Taking Back Control from AI Scrapers
Narrated by: Josh Risser
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Go to protonvpn.com/theinfographicsshow to get up to 70% discount when you sign up to Proton VPN 2-year plan
AI companies have spent years scraping images, voices, writing, and other content from the internet to train their models. Now artists, photographers, writers, and ordinary users are starting to fight back by turning the very data those systems collect into a trap.
This video explores tools like Glaze and Nightshade, which subtly modify images so they look normal to humans while confusing the AI models that train on them. Researchers have shown that just a small number of poisoned images can corrupt individual concepts, causing models to generate distorted animals, confuse objects, and eventually degrade the quality of their own output.
We also examine SafeSpeech, which applies a similar idea to voice recordings, making AI voice cloning more difficult while leaving the audio sounding normal to human listeners. As AI companies develop new defenses, creators are responding with stronger poisoning techniques, creating an escalating arms race over who controls online data.
For years, AI companies treated the internet like an unlimited source of free training material. Now creators are turning that assumption against them. If the scrapers keep taking everything, they may eventually start poisoning themselves.
00:33 - What a Poisoned AI Model Looks Like
01:49 - How Little Data It Takes to Break AI
04:35 - Why Creators Started Fighting Back
06:15 - Glaze: Hiding Art from AI
07:30 - Nightshade: Poisoning the Training Data
09:45 - Protecting Your Voice from AI Cloning
11:39 - The AI Data Arms Race
13:30 - The Hidden Cost of Poisoned Data
14:40 - Taking Back Control from AI Scrapers
Narrated by: Josh Risser
đź”” Don't forget to SUBSCRIBE! đź””
SUGGEST A TOPIC: bit.ly/suggest-an-infographics-video
đź’¬ Come chat with me: discord.gg/theinfoshow
đź”– MY SOCIAL PAGES
TikTok â–ş tiktok.com/@theinfographicsshow
Facebook â–ş facebook.com/TheInfographicsShow
đź“ť SOURCES: pastebin.com/yMunfVt2
All videos are based on publicly available information unless otherwise noted.
