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TikTok to label AI-generated content

Happy FRY-day! Around here, it’s the best day of the week because we get to enjoy some extra fresh and crispy AI insights. 🍟

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

Today’s Menu

Appetizer: TikTok to label AI-generated content 🕺

Entrée: Google DeepMind makes biological breakthrough 🧬

Dessert: OpenAI executive says today’s GenAI is “laughably bad” 🙃


🔍 Finalview: Discover strengths and weaknesses for any Amazon product. → check it out

✏️ Word Changer: Enhance your writing with the help of AI. → check it out

📝 ReadAI: Make your meetings, emails, and messages more efficient with AI-generated summaries, transcripts, playback, and highlights. → check it out


I would make a TikTok joke, but I don’t want China to steal it. 😆

What’s new? TikTok plans to implement a technology that labels images and videos generated by AI on its platform.

How? TikTok plans to use “Content Credentials,” a digital watermark developed by Adobe, to identify how media on their platform was created and edited. This works quite seamlessly. When AI tools like OpenAI’s DALL-E generate an image, it receives a watermark that indicates its AI origin. This marked content will be automatically labeled when uploaded to TikTok, providing transparency to users. TikTok is one of several companies, including YouTube and Meta, that have committed to utilizing this Content Credentials feature.

Why? Following the global effort to mitigate harmful and deceptive deepfakes, TikTok is engaging in this practice to mitigate deceptive content on their platform. People are still able to use AI tools to create incredible images and videos, but utilizing the digital watermark is meant to stop the proliferation of harmful or deceptive media. Whether this method will be effective remains to be seen.


Q: Why do biologists look forward to causal Fridays?

A: They’re allowed to wear genes to work. 👖

What’s new? Google DeepMind has introduced AlphaFold3, an updated AI model that can accurately predict the structure of DNA, proteins, and other molecules.

What does it do? AlphaFold3 can predict how proteins interact with other proteins, ions, strands of genetic code, and smaller molecules, such as those developed for medicines. In tests, the program’s accuracy varied from 62% to 76%, significantly higher than traditional methods. AlphaFold3 is freely available for non-commercial use through the AlphaFold Server.

Why is this significant? AlphaFold3 has the potential to revolutionize scientific research, aiding in the understanding of cellular functions and allowing for more targeted design of medicines and treatments. It is poised to drive breakthroughs in diverse fields such as antibiotics, cancer therapy, new materials, and crop resilience. John Jumper, a DeepMind scientist who worked on the project, stated, “We think we are going to unlock a lot of new science.” Dan Rigden, a professor at the University of Liverpool, added, “It will bring huge benefits across biology, and help address major research challenges from food security to the design of drugs and vaccines.”

“It’s going to be really important how much easier the AlphaFold server makes it for biologists—who are experts in biology, not computer science—to test larger, more complex cases.”

-John Jumper, senior research scientist at DeepMind


In a year, will we look back at the best AI models of today like we look back at Will Smith eating spaghetti? 🍝

What’s up? OpenAI COO Brad Lightcap said the generative AI available today will be “laughably bad” within a year. 

Why? Lightcap believes that within the next year, we will see a massive breakthrough in the ability of AI to undertake much more complex tasks than it currently can. He stated, “We think we’re going to move toward a world where they’re much more capable.”

What’s the significance? These comments follow OpenAI CEO Sam Altman’s comments earlier in the week about GPT-4 being “mildly embarrassing at best.” It’s possible these OpenAI executives know about upcoming models that will put current models to shame. Comments like these are scary to think about when one considers OpenAI models like ChatGPT-4 and Sora, which have blown minds and dropped jaws. However, when we look at the progression of AI over the past two years, we should not be too surprised that these tech leaders remain bullish on its growth.

“We’re just scratching the surface on the full kind of set of capabilities that these systems have.”

-Brad Lightcap, OpenAI COO


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