“Do not use AI detectors in schools! Accuracy of AI detectors, already low, dropped to 22% when researchers added simple changes, like purposeful spelling errors. Worse, the writing of non-native speakers are more likely to be falsely flagged as AI writing  https://twitter.com/emollick/status/1773779592576155928

““The fact that [transformer neural nets] model language is probably one of the biggest discoveries in history. That you can learn language by just predicting the next word with a Markov chain—that’s just shocking to me,” Mikhail Belkin says. By @strwbilly.  https://twitter.com/chrmanning/status/1772642891761955139 

“A cool use of LLMs as a lab for social science: what can we learn about the transmission of stories across time from AI? This research effort got LLMs to pass stories through 50 “generations” altering the personalities of the storytellers. The results echoed human story patterns  https://twitter.com/emollick/status/1772437040098926669 

Heads up! You’ve scrolled to the end of this category. There may have been just one or two links (above), so go back up and double check to be sure you didn’t quickly scroll down past it.

Be Sure To Read This Week’s Main Post:

This week’s executive overview and top links are here:

AI News #25: Week Ending 03/22/2024 with Executive Summary and Top 55 Links

The post you just read is an deep dive extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.

• Agents/Copilots
• Amazon
• Apple
• Artificial General Intelligence (AGI)
• Augmented and Virtual Reality (AR/VR)
• Autonomous Vehicles
• AI Audio
• Business and Enterprise AI
• Chips and Hardware
• Consumer Products
• Education
• Ethics/Legal Security
• Google
• Images/Photos
• International AI News
• Locally Run AI Models
• Meta
• Microsoft
• OpenAI
• Open Source
• Podcasts/YouTube
• Publishing and News
• Robots and Embodiment
• Science and Medicine
• Video
• Vision/Multimodality
• X/Twitter/Grok
• Tech and Development

Credits/Sources

Most of these weekly links come from just a few prolific oversharing sources. Please follow them, as they work hard to find the news each week and they make it a lot easier for me to compile.

• Robert Scoble: https://x.com/Scobleizer 
• Ethan Mollick:  https://www.linkedin.com/in/emollick/ 
• Alan Thompson: https://lifearchitect.ai/ 
• Theoretically Media: https://www.youtube.com/@TheoreticallyMedia   
• The Rundown: https://www.therundown.ai/ 
• Bilawal Sidhu:  https://twitter.com/bilawalsidhu/  
• TLDR: https://tldr.tech/ai  
• Jeremiah Owyang: https://twitter.com/jowyang  
• Nick St. Pierre: https://twitter.com/nickfloats  
• Dr. Jim Fan: https://twitter.com/DrJimFan 
• All About AI: https://www.youtube.com/@AllAboutAI   
• Marshall Kirkpatrick:  https://aitimetoimpact.com/

For previous issues, please visit the archives!

Thanks for reading!