• FryAI
  • Posts
  • Deepfake Taylor Swift ad awakens concerns

Deepfake Taylor Swift ad awakens concerns

Happy Monday! We are so glad you joined us as we kick off an exciting new week of AI exploration. Shall we dig in? 🍽️

Check out this new, FryAI original tool: XPressPost, which lets you generate engaging tweets (posts) from any URL in seconds! 🙌

(The mystery link can lead to ANYTHING AI related. Tools, memes, articles, videos, and more…)

Today’s Menu

Appetizer: Deepfake Taylor Swift ad awakens concerns 🤖

Entrée: Sam’s Club to implement AI at checkout 🛒

Dessert: AI discovers fingerprints might not be unique ☝️


🖍️ AI Coloring Pages: Generate unique coloring pages in seconds with a simple prompt. → check it out

📖 Laterbase: An AI-powered web bookmark manager. → check it out

🤑 Decode Investing: Use AI to discover your next great investment opportunity. → check it out


I refuse to say a word about football. 🏈

What happened? An unauthorized ad featuring an AI-generated Taylor Swift has surfaced, promoting a giveaway of premium cookware from Le Creuset.

What was the ad? The ad appeared on social media, showcasing an AI-generated version of Swift’s voice and her likeness, endorsing a cookware giveaway due to a purported packaging error.

What’s the response? Both Le Creuset and Swift have vehemently denied any involvement in the promotion, with a Meta spokesperson confirming the removal of the ad from their platform. This incident is part of a growing trend where celebrities, including Tom Hanks, Mr. Beast, and Scarlett Johansson face the unauthorized use of their likeness in AI-generated ads. The proposed “No Fakes Act” aims to address such issues, establishing federal rights over one’s image and voice, with penalties for violations. How to determine who faces the penalty in a world of publicly available AI tools, however, is a challenge in its own right.


An overhead view of what the AI camera sees. (Photo: Walmart, the parent company of Sam’s Club)

Who is Sam? … And what happens at his club? 😳

What’s new? Sam’s Club is revolutionizing the checkout experience by implementing AI detection services at store exits. The retail giant aims to deploy this exit technology in nearly 600 stores nationwide by the end of 2024.

How will this work? Using a combination of computer vision and digital technology, the in-house engineered AI system will scan receipts and carts, ensuring items in customers’ carts were legitimately purchased.

Why? U.S. retailers have continually reported increased product losses with the massive adoption of self-checkouts, attributed mostly to customer errors and theft. As Sam’s Club embraces this new AI system, the industry will closely watch if this innovation can aid in loss prevention and enhance the overall shopping experience, leading the way for further AI implementation at checkouts.


I hope you enjoy this story … fingers crossed. 🤞

What’s new? The conventional belief in the uniqueness of fingerprints is being challenged by cutting-edge AI-powered research from Columbia University.

What is the research? The team of researchers led by Columbia Engineering undergraduate senior Gabe Guo discovered a public U.S. government database containing around 60,000 fingerprints. They systematically input these prints in pairs into an AI-driven system called a deep contrastive network. The system identified pairs with 75-90% accuracy, and also shockingly discovered instances where matching fingerprints originated from the same individual (albeit different fingers) and also cases where they came from distinct people. The technology appears to focus on the orientation of ridges in the center of a finger rather than traditional minutiae markers.

“Many people think that AI cannot really make new discoveries–that it just regurgitates knowledge. But this research is an example of how even a fairly simple AI, given a fairly plain dataset that the research community has had lying around for years, can provide insights that have eluded experts for decades.” 

-Hod Lipson, Professor of Innovation in the Department of Mechanical Engineering at Columbia University

What are the implications? While the AI tool is not ready for courtroom applications, it shows promise in generating leads for forensic investigations. The study’s findings could offer the potential to connect unidentified fingerprints from different crime scenes to the same individual. Not to mention, this study provides good evidence that not every fingerprint is unique, shattering an age-old belief.



The Singularity Meter Rises 1.0%: AI Models can now learn deceptive behaviors (via Business Insider)

What do ya think of this latest newsletter?

Login or Subscribe to participate in polls.