Fast Snacks 🥡

Things You Can Do With Google’s Rebranded Chatbot
AI chatbots still aren’t perfect, but Gemini has some cool features…

Computer Vision Syndrome May Lead To Eye Problems
Computer Vision Syndrome, aka digital eye strain, effects over 90% of computer users…

Create Step-By-Step Guides With Scribe (partner)
Imagine anyone, on any team, can work as well as a trained expert…

Reddit Sells User Data For $60M

Remember all those brilliant shower thoughts you posted on Reddit? Or maybe those slightly-too-personal opinions you shared in a heated comment thread? Well, guess what? They’re not yours anymore.

Reddit just struck a deal worth a cool $60 million to let some unnamed AI company use all that juicy data to train their fancy algorithms. Basically, your online musings are being sold off like used textbooks, except instead of a few bucks, they’re raking in millions.

Now, before you and your fellow trolls grab your pitchforks and storm the Reddit HQ, let’s unpack this mess.

Why should you care?

Well, for starters, this deal highlights the growing goldmine of data social media platforms hold. Every post, comment, and upvote becomes fuel for the ever-hungry AI beast. This could lead to some pretty cool advancements, and certainly more human-sounding outputs, but it also raises some ethical concerns.

We’re training AI chatbots without knowing we’re training AI chatbots. A pretty damn good case could be made that maybe we deserve some compensation. Que the ‘you signed the user agreement form’ comments … Reddit trolls.

It’s setting a precedent. This deal could establish a model for other social media platforms to follow, potentially leading to the widespread selling of user data for AI training.

Look, the world of AI is kind of in a weird Wild West setting right now, and all of us are trying to dodge the bullets. I love Reddit, but this deal, if I’m being honest, pisses me off. But at the same time, I applaud them for striking when the iron is hot.

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Google’s Chess Experiments Reveal How Boost AI

In early 2020, as the COVID-19 pandemic began, computer scientist Tom Zahavy reignited his interest in chess, inspired by chess grandmaster Garry Kasparov’s battles against IBM’s Deep Blue and various chess-related media.

This rekindled interest led him down a path not of improving his chess game, but of exploring the limitations of chess AI through complex puzzles that highlight the shortcomings of even the most advanced chess programs.

These puzzles, such as those devised by mathematician Sir Roger Penrose, demonstrated that while AI could overpower the best human players, it struggled with unconventional challenges that humans could navigate more adeptly.

Zahavy’s curiosity about these puzzles dovetailed with his professional work at Google DeepMind, where he sought to enhance AI’s problem-solving capabilities.

His innovative approach involved integrating multiple AI systems, each trained in different strategies, to tackle these complex puzzles.

This method, contrasting with the traditional singular-focused AI, allowed for a more creative and flexible problem-solving approach, showcasing a significant improvement in dealing with puzzles that previously stumped AI.

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