jeanlou2 NEURONES dans un cerveau en CRISE : témoignages 🎤 (feat. @lafabriquesociale)
PeerTube
Yogi JaegerIn this recent #FT piece
https://www.ft.com/content/8192467e-e9d7-4c0a-ab0d-59bd6351a1bb
(paywalled, unfortunately), #KarlFriston gets to say, once more (this time in his role as chief scientist of #VersesAI), that active inference and the #FEP will allow #AI to have true agency.
This is utter bullshit.
Agency requires #RelevanceRealization but Friston's framework cannot deal with that. You will not get true agency from that. It's sill purely about problem *solving*, not *framing*.
Philo Sophies#Zoomposium with Dr. #WanjaWiese: “The #Mathematization of #Consciousness – can #Mind be #simulated?” 🤔
Fascinating talk on #Philosophy, #predictivecoding & the #FreeEnergyPrinciple – from #ThomasMetzinger to #KarlFriston.
Blog: 👉 https://philosophies.de/index.php/2024/08/22/mathematisierung-des-bewusstseins/ or Spotify: 👉https://open.spotify.com/episode/2D3DhRzjR72trChRlfnWJB?si=j9ehnyJ3S1qDtj0eRIaXGg
#AI #Neuroscience #PhilosophyOfMind #Consciousness #Science #Bewusstsein #GeistPhilosophie #Erkenntnistheorie #PhilosophieDesGeistes
#Zoomposium mit Dr. #WanjaWiese: „Die #Mathematisierung des #Bewusstseins – lässt sich #Geist #simulieren?“ 🤔
Spannendes Gespräch über #Philosophie, #predictivecoding & das #FreeEnergyPrinciple – von #ThomasMetzinger bis #KarlFriston.
Blog: 👉 https://philosophies.de/index.php/2024/08/22/mathematisierung-des-bewusstseins/
oder direkt auf Spotify: 👉 https://open.spotify.com/episode/2D3DhRzjR72trChRlfnWJB?si=j9ehnyJ3S1qDtj0eRIaXGg
#Mind #AI #Neuroscience #PhilosophyOfMind #Consciousness #Science #Bewusstsein #GeistPhilosophie #Erkenntnistheorie #PhilosophieDesGeistes
Zoomposium with Professor Dr. Mark Solms: “Expedition to the sources of consciousness. The feelings as the embodiment of consciousness.”
#Interview with the well-known South African #neuroscientist and #psychoanalyst Mark Solms, who has continued and successfully applied his own discipline, #neuropsychoanalysis, in the spirit of #SigmundFreud.
More at: https://philosophies.de/index.php/2024/05/12/sources-of-consciousness/
or: https://open.spotify.com/episode/4j5Fy79zYWwLSEzSUXFosx?si=LyrbiYM1T_CgQxFa0enKaA
#Consciousness #MarkSolms #Neuropsychoanalysis #FreeEnergyPrinciple #HardProblemOfConsciousness #AffectiveNeuroscience #Embodiment #ArtificialConsciousness #PredictiveProcessing #PhilosophyOfMind #ConsciousnessStudies #EmotionAndCognition #Psychoanalysis #Neuroscience #NeuroscienceAndPhilosophy # CognitiveNeuroscience #karlfriston #TheHiddenSpring #feelings #Zoomposium
Zoomposium with Professor Dr. Mark Solms: „Expedition to the sources of consciousness. The feelings as the embodiment of consciousness.“
#Interview mit dem sehr bekannten südafrikanischen #Neurowissenschaftler und #Psychoanalytiker Mark Solms zu sprechen, der eine eigene Disziplin, die #Neuropsychoanalyse im Sinne #SigmundFreud weitergeführt und erfolgreich angewendet hat.
Mehr auf: https://philosophies.de/index.php/2024/05/12/sources-of-consciousness/
oder: https://open.spotify.com/episode/4j5Fy79zYWwLSEzSUXFosx?si=LyrbiYM1T_CgQxFa0enKaA
#Consciousness #MarkSolms #Neuropsychoanalysis #FreeEnergyPrinciple #HardProblemOfConsciousness #AffectiveNeuroscience #Embodiment #ArtificialConsciousness #PredictiveProcessing #PhilosophyOfMind #ConsciousnessStudies #EmotionAndCognition #Psychoanalysis #Neuroscience #NeuroscienceAndPhilosophy #CognitiveNeuroscience #karlfriston #TheHiddenSpring #feelings #Zoomposium
Philo Sophies#25 Zoomposium with Wanja Wiese: Can the mind be simulated? - The mathematization of consciousness
https://open.spotify.com/episode/2D3DhRzjR72trChRlfnWJB?si=j9ehnyJ3S1qDtj0eRIaXGg
#WanjaWiese #ArtificialIntelligence #AI #ArtificialConsciousness #FreeEnergyPrinciple #PredictiveCoding # BayesianBrain #KarlFriston #Consciousness #HardProblem #PhilosophyOfMind #Qualia #SensoryPerception #Emergence #Intentionality #InformationGeometry #Popper #Kuhn #ParadigmShift #Neuroscience #AGI #Philosophy #Cognition #CognitiveScience
#25 Zoomposium mit Wanja Wiese: Lässt Geist sich simulieren? - Die Mathematisierung des Bewusstseins
https://open.spotify.com/episode/2D3DhRzjR72trChRlfnWJB?si=j9ehnyJ3S1qDtj0eRIaXGg
#WanjaWiese #KünstlicheIntelligenz #KI #KünstlichesBewusstsein #FreeEnergyPrinciple #PredictiveCoding #BayesianBrain #KarlFriston #Consciousness #Bewusstsein #HardProblem #PhilosophieDesGeistes #Qualia #Empfindungsvermögen #Emergenz #Intentionalität #Informationsgeometrie #Popper #Kuhn #Paradigmenwechsel #Neurowissenschaften #AGI #Philosophie #Kognition #CognitiveScience
Victoria Stuart 🇨🇦 🏳️⚧️Conscious AI Is the Second-Scariest Kind
A cutting-edge theory of mind suggests a new type of doomsday scenario
https://www.theatlantic.com/ideas/archive/2024/03/ai-consciousness-science-fiction/677659/
#consciousness #AI #LLM #KarlFriston #TheoryOfMind #entropy #FreeEnergyPrinciple #FreeEnergyMinimization #surprisal #IIT
Testing Predictions of Surprisal Theory in 11 Languages
https://arxiv.org/abs/2307.03667
A fundamental result in psycholinguistics: Less predictable words take longer to process
Theoretical explanation for this finding is Surprisal Theory
https://en.wikipedia.org/wiki/Prediction_in_language_comprehension#Surprisal_theory
Aside: surprisal (surprise) is a tenet of Friston's Free Energy Principle
https://mastodon.social/@persagen/110582825938232359
https://link.springer.com/content/pdf/10.1007/s10539-022-09864-z.pdf
Surprisal of x = log(1/p(x))
...
#SurprisalTheory #KarlFriston #FreeEnergyPrinciple #TheoriesOfConsciousness #surprisal
Testing the Predictions of Surprisal Theory in 11 Languages
A fundamental result in psycholinguistics is that less predictable words take a longer time to process. One theoretical explanation for this finding is Surprisal Theory (Hale, 2001; Levy, 2008), which quantifies a word's predictability as its surprisal, i.e. its negative log-probability given a context. While evidence supporting the predictions of Surprisal Theory have been replicated widely, most have focused on a very narrow slice of data: native English speakers reading English texts. Indeed, no comprehensive multilingual analysis exists. We address this gap in the current literature by investigating the relationship between surprisal and reading times in eleven different languages, distributed across five language families. Deriving estimates from language models trained on monolingual and multilingual corpora, we test three predictions associated with surprisal theory: (i) whether surprisal is predictive of reading times; (ii) whether expected surprisal, i.e. contextual entropy, is predictive of reading times; (iii) and whether the linking function between surprisal and reading times is linear. We find that all three predictions are borne out crosslinguistically. By focusing on a more diverse set of languages, we argue that these results offer the most robust link to-date between information theory and incremental language processing across languages.