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The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do
LeCun points to four essential characteristics of human intelligence that current AI systems, including LLMs, can’t replicate: reasoning, planning, persistent memory, and understanding the physical world. He stresses that LLMs’ reliance on textual data severely limits their understanding of reality: “We’re easily fooled into thinking they are intel... See more
Azeem Azhar • 🧠 AI’s $100bn question: The scaling ceiling
So far, I’ve been talking about the hardware of computing. The requisite hardware capacity is a necessary but not sufficient condition. A key advantage of nonbiological intelligence is that machines can easily share their knowledge. We exposed it to thousands of hours of recorded speech, corrected its errors, and patiently improved its performance.... See more
Ray Kurzweil • The Law of Accelerating Returns « the Kurzweil Library + collections
As we successfully apply simpler, narrow versions of intelligence that benefit from faster computers and lots of data, we are not making incremental progress, but rather picking low-hanging fruit. The jump to general “common sense” is completely different, and there’s no known path from the one to the other.
Erik J. Larson • The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do
It turns out that computers are particularly adept at the tasks that we humans find most difficult: crunching equations, solving logical propositions, and other modes of abstract thought. What artificial intelligence finds most difficult are the sensory perceptive tasks and motor skills that we perform unconsciously: walking, drinking from a cup, s
... See moreMeghan O'Gieblyn • God, Human, Animal, Machine: Technology, Metaphor, and the Search for Meaning
