ScyberLab
Preview
Open in TheBrain
Scybernethics - Toward a second-order enactive rationality² >>> https://scybernethics.org (work in progress)
Analog Dynamics
Reflexions / Subjectivité comme objectivisme faible, "Self" [clavicule, idées régulatrices, soto]
Privé / Public (double sens : entreprise-institution / individu
soto (s'auto, sot tôt, etc...), sotoki²
Sciences et Technologies de la Cognition (STC)
Connectionisme - NeoConnectionisme
McClelland James - Psychologue et Ingénieur - modèles PDP
PDP / ANN- Parallele and Distributed Processing - Rumelhart et McClelland - Mémoire, Représentations distribuées et Emergences fonctionnelles
LLMs - Large Language Models
Parents
Artefacts & Modèles - Simulation (aussi comme imagination appliquée)
Connectionisme - NeoConnectionisme
Deep learning et deep neural networks (DNN)
genAI - LLMs : the new self-shifting techno-revolution (= printing = computers = Internet)
Machine Learning & Data Science
NLP - Natural Language Processing --> LLMs
Oubli et Coupures (Amnesia), Bifurcations, rappel de la vie et du geste (gestation)
PDP / ANN- Parallele and Distributed Processing - Rumelhart et McClelland - Mémoire, Représentations distribuées et Emergences fonctionnelles
Self-Shifting - Evolution of self - epistemological “cuts” & techical “phase shifting”
The Technology-By-Itself Fallacy [Soto²]
Children
"AI thrives when our need for originality is low and our demand for mediocrity is high."
AI and the Rise of Mediocrity - Ray Nayler, 2023, Time
AlexNet - First LLM with Transformers modules (“attention” + MLP)
An Alternative to Cognitivism: Computational Phenomenology for Deep Learning - Pierre Beckmann, Guillaume Köstner & Inês Hipólito, 30/06/23
Apprentissage Renforcé et "Attention"
Astrophysicist: Don’t Say That Chatbots “Hallucinate”
Attention is All You Need - Vaswani, et al., 2017 (“attention” in LLMs)
Coupure Acte (agency) / Intelligence par les LLM + RL
Floridi Luciano - Philosophy and Ethic of information, Levels of abstraction (LoA)
inference of LLMs -- based on autoregressive decoding
LLM and Meaning/non-understanding
LLM are the association of behaviorist models (cybernetic) and associationism (connectionism) [Soto²]
LLMs don’t know anything: reply to Yildirim and Paul - Thompson, Noë, 2024
LLMs, and more generally AI, are not meaning-making "intelligent" machines, but can help us to better understand the very process of our own understanding, i.e. "intelligibility". [Soto²]
Machine Learning Glossary - Google
my mental model is that a transformer is the processor and the LLM is an application that runs on it
Scybernethics Transmission through LLM Integration, Social media, etc
Transformers (ML model) - “(self)attention mechanism/”head””
Understanding LLMs: Computer techs as Psycho-Technologies of Cognition
Using genAI/LLMs is like outsourcing your intentionality, confusing linguistic (Husserl) and motor intentionality (Merleau-Ponty)[soto²]
What Algorithms can Transformers Learn? A Study in Length Generalization - Zhou, 2023
Jumps
Algèbre Linéaire - Morphismes
Analogic Processing
Apprentissage - Paradigmes & Algorythmes
Apprentissage par Prediction et Anticipation
L'approche bayésienne est la nouvelle approche normative du cognitivisme [soto]
Les "big data" et le "deep learning" sont en train de produire l'arrachement de la prédiction à la compréhension humaine : on agit mais on n'en comprend plus les causes, le pourquoi... extrême danger [soto]
LLM and Evolutionary Computation
Matrices (et transformation) et Tenseurs
New AI Robotics (LLM, etc)
PDP comme modèles heuristiques de la Mémoire humaine, donc aussi de la “Vue de l’intérieure” (1P)
Statistiques et Probabilité - (à déconstruire- critiquer)
Understanding the Bodily Roots of Conscious Experience - Ciaunica