Why AI doesn’t progress

…ignoring science and its real goals is slowing progress

Today’s AI is limited. The image above shows the power, but also its inaccuracy. Can you see any errors? This isn’t really “AI”. It is lacking in common sense as seen when asked to draw a brain inside a head assuming the correct orientation. Prompt: “Draw a brain inside a transparent human head with the caption ‘This AI isn’t good’”

AI was named in 1956 with the goal of emulating human capabilities by investigating whether computers could be programmed to exhibit intelligent behavior. Today, there are debates on the machine learning approach: is generative AI nearing AGI? AGI is defined as human-level capabilities like sensory-motor control, consciousness and human skills like language. It was previously known as ‘strong AI.’

In my latest book, chapter 18 reviews the killer AI apps that have not been completed, such as:

• driverless cars,
• speech recognition and
• chatbots at human level.

They are the immediate goals of AI, not performing science experiments and solving all problems humans have yet to conquer like cures for cancers, enabling everlasting life, and engineering faster-than-light travel.

Explain to me how a machine that is trained on the statistics of the Internet and other corpus will create science!

Today’s disclaimer on Microsoft’s AI tool, Copilot. I’m not confident and feel it could better say: “AI-generated content may be correct”

Today there has been a split between two approaches to AI: