>
No Escape From Washington's Fiscal Doomsday Machine
New Questions about Pilot's Mental Health After Air India Crash Looks to Be INTENTIONAL
Ross Ulbricht 2.0: Roman Storm Faces 40 Years for Writing Code to Protect Your Privacy
Magic mushrooms may hold the secret to longevity: Psilocybin extends lifespan by 57%...
Unitree G1 vs Boston Dynamics Atlas vs Optimus Gen 2 Robot– Who Wins?
LFP Battery Fire Safety: What You NEED to Know
Final Summer Solar Panel Test: Bifacial Optimization. Save Money w/ These Results!
MEDICAL MIRACLE IN JAPAN: Paralyzed Man Stands Again After Revolutionary Stem Cell Treatment!
Insulator Becomes Conducting Semiconductor And Could Make Superelastic Silicone Solar Panels
Slate Truck's Under $20,000 Price Tag Just Became A Political Casualty
Wisdom Teeth Contain Unique Stem Cell That Can Form Cartilage, Neurons, and Heart Tissue
Hay fever breakthrough: 'Molecular shield' blocks allergy trigger at the site
In November 2017, a Reddit account called deepfakes posted pornographic clips made with software that pasted the faces of Hollywood actresses over those of the real performers. Nearly two years later, deepfake is a generic noun for video manipulated or fabricated with artificial intelligence software. The technique has drawn laughs on YouTube, along with concern from lawmakers fearful of political disinformation. Yet a new report that tracked the deepfakes circulating online finds they mostly remain true to their salacious roots.
Startup Deeptrace took a kind of deepfake census during June and July to inform its work on detection tools it hopes to sell to news organizations and online platforms. It found almost 15,000 videos openly presented as deepfakes—nearly twice as many as seven months earlier. Some 96 percent of the deepfakes circulating in the wild were pornographic, Deeptrace says.