If the LLM does not represent enough constraints, its language can go "on holiday", i.e. lose its referent in an integrated model of the meaning universe. But so may the use of vague terms like "embodied in life" become superficial pattern matching without actual referent.
ETHICS
-
LLM Inference as Pattern Matching and Reasoning Process
By
–
The inference process of current LLMs is somewhat comparable to attempting to answer a question without deep analysis, ie through a process of pattern matching, creative association and constraint resolution. However, reasoning is itself a process of successive pattern matching.
-
Navigating Rising Challenges of ChatGPT Implementation
By
–
Navigating The Rising Challenges Of ChatGPT https://
forbes.com/sites/forbeste
chcouncil/2024/02/29/navigating-the-rising-challenges-of-chatgpt/?utm_source=dlvr.it&utm_medium=twitter
… #Innovation #ArtificialIntelligence #MachineLearning -
AI Decelerationists and Existential Risk Concerns Spark Debate
By
–
This is nuts. The doomers and decels really do want to shut it all down. Like a really sick humanity death cult.
-
Defining Life: LLM Consciousness and Shared Existence
By
–
When you talk about life, you don't seem to use the term in a way that allows the recognition that life is shared between the LLM and me, and also between two LLMs. Can you properly define your notion of life here? If not, perhaps you should remain silent (ie not use the term)?
-
Wittgenstein’s Language Games and LLM Capabilities Debate
By
–
If you somehow managed to stick to Wittgenstein's beliefs without being swayed by the 80 intermittent years, the observable performance of LLMs should disprove them, but your notion that language games are unavailable to AI suggests that you are profoundly uncurious?
-
AI: Innovating Safely at High Speed
By
–
#AI: Innovating Safely at High Speed
— Ronald van Loon (@Ronald_vanLoon) 27 mars 2024
by @Ronald_vanLoon @JayPersaudEY @SanzSaiz
Learn more: https://t.co/LY5JwgdUAV#EYAmbassador @EYnews #MWC24 #BetterWorkingWorld @AI #BigData #Speed #GenerativeAI #Technology
Cc: @rodriguezhernan @HaroldSinnott @antgrasso @JimHarris pic.twitter.com/pYjD28Y3m2#AI: Innovating Safely at High Speed
by @Ronald_vanLoon @JayPersaudEY @SanzSaiz Learn more: https://
buff.ly/3PAxKUg #EYAmbassador @EYnews #MWC24 #BetterWorkingWorld @AI #BigData #Speed #GenerativeAI #Technology Cc: @rodriguezhernan @HaroldSinnott @antgrasso @JimHarris -
Wittgenstein’s Observational Limits in Understanding Algorithms
By
–
The opposite: Because Wittgenstein resorts to purely reporting his observables during generation and is neither experimenting nor taking an engineering perspective (how does my mind have to be constructed to produce observed phenomenology and function?) the algorithm eludes him.
-
Tribute to Daniel Kahneman Great Mind AI Workshop
By
–
I have had the incredible honor and joy of spending a few days with Daniel Kahnemann during a small AI workshop. He was sharp, sincere, acerbic, funny, deep and curious. One of the great intellects of our time. You are missed
-
Technological Singularity: Understanding AI’s Phase Transition
By
–
had a techno singularity a few years back and everyone is confused during takeoff, but it’s really just another traumatic phase transition akin to industrialization, infinitely scalable agro states, grammatical language before; each transition is orders of magnitude more rapid