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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…
Committing to Neutral
This should be your decision. At least, it’s worth thinking it over. As always, if this text forms a concrete challenge for you, you might look for some excellent coaching or ask Lisa (soon). Neutral ‘Neutral’ means that it’s basically OKAY — whether good or bad at first sight. You may care for what happens, Read the full article…
Deep Listening
is probably the hardest thing to do. It’s also very important. People continuously use terms of which they think others surely know what is meant, as if these terms are exact pointers to abstract, ‘Platonian’ concepts. However: look at the brain and you notice that concepts-as-used-by-humans can never be ‘Platonian’ even if one can delineate Read the full article…