“This is the first evidence that LLMs can exceed human levels when assessing the accuracy of facts. A big potential milestone.” / X – https://twitter.com/emollick/status/1773397697308786856

“AIs have a bad reputation for truth, so three important findings in this paper: 1) “LLM agents can achieve superhuman rating performance” on fact checking when given access to Google! 2) Bigger models are more factual 3) LLMs are 20x cheaper than humans  https://twitter.com/emollick/status/1773369345634115751

Researchers gave AI an ‘inner monologue’ and it massively improved its performance | Live Science – https://www.livescience.com/technology/artificial-intelligence/researchers-gave-ai-an-inner-monologue-and-it-massively-improved-its-performance 

“AI as problem solver: A test of LLMs on “MacGyver-like” problems requiring novel solutions Out-of-the-box, GPT-4 only does okay, but when prompted to “think” conveniently & divergently, it is close to the average human, and can exceed them in many cases.  https://twitter.com/emollick/status/1772832094349148468

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!