Carlos Velazquez

This is a bit of welcome news especially for those who focus on just the negative aspects of technology. Quoting:

"ChatGPT and similar machine learning-based technologies are on the rise. However, even the most advanced algorithms face limitations. Researchers from the University of Copenhagen have made a groundbreaking discovery, mathematically demonstrating that, beyond basic problems, it’s impossible to develop AI algorithms that are always stable. This research could pave the way for improved testing protocols for algorithms, highlighting the inherent differences between machine processing and human intelligence."

Summarizing the article: the human brain, surely from daily experiences except when sleeping, learns continually, what they call "training", and learns to filter out noise and quite often correctly perceives garbled messages and images. Something AI cannot do as well and which these researchers say is mathematically impossible to achieve.

However, it's not all good news. An "unstable " AI can do harm especially if it misperceives reality and acts wrongly as a result.

AI’s Achilles Heel: New Research Pinpoints Fundamental Weaknesses
scitechdaily.com

Posted by: Timothy Birdnow at 10:19 AM | No Comments | Add Comment
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