How he used AI to find a wife...

Happy Thursday — Grab some salty snacks, and we will munch on the latest in AI together! 🍟

🤯 MYSTERY AI LINK 🤯

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

🔨 AI TOOLS OF THE DAY

📁 Humata: ChatGPT for your files. → check it out

📸 Photo Spells: Easily and professionally edit your photos. → check it out

💬 Instasize: Use AI to generate the perfect Instagram caption. → check it out

DEVELOPER USES AI TO FIND SOULMATE 😍

Tinder + AI = marriage. It’s really just that simple. 🤷‍♂️

What happened? In a unique experiment, AI developer Alexander Zhadan utilized ChatGPT and other AI tools to revolutionize his dating life on Tinder, resulting in a happily-ever-after ending.

How did it work? After a breakup in 2021, Zhadan embarked on a year-long journey to navigate the complexities of modern dating, relying on AI to enhance his interactions with over 5,000 women. Zhada’s AI system, evolving from a basic script to a sophisticated version integrated with ChatGPT and photo recognition software, autonomously managed his Tinder profile. He trained the API to filter his matches based on personalized criteria, such has photo quality and personal red flags in bios. The AI was also able to learn how to talk like Zhadan, initiating conversations and even orchestrating dates, ultimately streamlining Zhadan’s dating experience. Despite occasional humorous mishaps, such as unauthorized promises of flowers or chocolates, the experiment ultimately led to a meaningful connection with Karina Imranovna, who he is set to marry in August of this year!

What’s the significance? Zhadan’s unconventional approach highlights the potential of AI in personal relationships, showcasing the transformative impact of technology on modern romance. The experiment not only saved time and money but also demonstrated the innovative possibilities AI brings to the realm of human connection.

NEW YORK TIMES TO BUILD AI TEAM 🦾

New Year’s Eve in NYC sucked this year … they really dropped the ball. 🪩

What’s new? The New York Times is building a team to explore the use of generative AI in their reporting operations.

What is the point? Spearheaded by Zach Seward, recently appointed to lead AI initiatives, the team will be “focused on prototyping uses of generative AI and other machine-learning techniques to help with reporting and how the Times is presented to readers.” Despite the enthusiasm for AI integration, the NYT is adamant that its journalism will perpetually be crafted by expert human journalists.

Who will be on the team? The team will include a machine learning engineer, software engineer, designer, and editors, working collaboratively as a “skunkworks unit” within the newsroom. Job listings for key positions like associate editorial director for AI initiatives and senior design editor have already been posted.

How is this significant? This move reflects the NYT’s history with generative AI, including the ongoing legal dispute with OpenAI and Microsoft over alleged copyright infringement of articles. Nonetheless, the newspaper’s cautious approach reflects a broader industry trend, with news organizations like Axel Springer and the Associated Press exploring responsible AI integration to avoid the pitfalls of misinformation.

HOW STARBUCKS IS PERSONALIZING REWARDS WITH AI ☕️

Q: Why did the coffee file a police report?

A: It got mugged. 😶

What’s new? Starbucks is leveraging AI to enhance its rewards program, fostering increased customer spending and frequency.

How does it work? Utilizing their proprietary Deep Brew data analytics tool, Starbucks identifies and incentivizes specific rewards member cohorts, with hopes of cultivating long-term relationships through more individualized incentives. This is done by learning from individuals’ orders and identifying patterns which help generate individualized rewards and incentives.

Why? Starbucks’ motivation for using AI to individualize rewards follows the recent PYMNTS Intelligence report, which interviewed over 2,500 U.S. customers and revealed that “71% have received personalized offers and are interested in them, and another 12% have not received personalized offers but are interested.” Since implementing Deep Brew, Starbucks saw its rewards program 90-day active member base increase by 4 million to 34.3 million, up 13% from a year ago.

TASTE-TEST THURSDAY 🍽️

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