Related Posts
The Problem(s) with LLMs
(and why meaning-based A.I. is needed to resolve them) Something about today’s Large Language Models (LLMs) feels both impressive and unsettling. They speak fluently, often convincingly, sometimes even insightfully — and yet, there are moments when something seems just out of reach. Not wrong in an obvious way, but not fully there either. Many people Read the full article…
From Concrete to Abstract
Many people view the concepts of ‘concrete’ and ‘abstract’ as dichotomous ends of a straightforward spectrum — in daily life, often without much thought. This is also relevant to their use in inferential patterns. One example are mental-neuronal patterns in humans. However, the muddy underlying reality becomes especially apparent when trying to realize them in Read the full article…
Where’s the Mind in Medical Causation?
I don’t know. It has vanished or has never been present. I’ve written quite a lot about this and don’t intend to repeat much. Disastrous opportunity One can see this as the big disaster that it is. Looking from within the present situation itself, one can also see it as a huge opportunity for doing Read the full article…