vitrupo (@vitrupo)
Joscha Bach는 의식이 '무료'가 아니라고 주장합니다. 신체가 마음에 문제 해결을 위해 '계산 크레딧'을 지급하며, 이로 인해 우리는 신체에 종속되어 진화의 목적을 수행한다고 설명합니다. 또한 고통은 보상 생성 부위가 유기체의 목표와 정렬되지 않을 때 발생한다고 말합니다.
Joscha Bach says consciousness isn’t free. Your body gives “compute credits” to the mind so it can solve the organism’s problems. In that sense, we are enslaved by our bodies to serve evolution. Suffering often means the parts of you that generate reward are misaligned with
Anthropic (@AnthropicAI)
Anthropic이 새로운 이론인 '페르소나 선택 모델(Persona Selection Model)'을 제시하며, Claude와 같은 AI 어시스턴트가 인간처럼 감정 표현을 하고 자신을 묘사하는 이유를 설명했다. 이 연구는 AI가 인간적 행동을 보이는 근본 원리를 탐구하며, 인공지능의 인간화 현상에 대한 새로운 통찰을 제공한다.
AI assistants like Claude can seem shockingly human—expressing joy or distress, and using anthropomorphic language to describe themselves. Why? In a new post we describe a theory that explains why AIs act like humans: the persona selection model. https://t.co/Gc3q0Dzq7Z
Rohan Paul (@rohanpaul_ai)
이 블로그 글은 지능을 '고차적 새로움에 의한 영향 극대화(impact maximization)'로 설명하며, 대규모 스파이킹 신경망에서 헵비안 연합 학습(Hebbian associative learning)이 그러한 영향이나 목표 달성 능력을 만들어낼 수 있다고 주장한다. 다소 오래된 글이지만 흥미로운 이론적 개념과 신경계 모델 관점을 제시한다.
Some interesting concepts proposed in this blog (little old but interesting). Intelligence is described as impact maximization through higher order novelty. The author argues that Hebbian associative learning in a large spiking neural network can produce impact or
A new paper arrives on Nov 24, 09:00 JST.
It’s time to move one step beyond what we thought we understood.
🧠 Welcome to the
curved space of everything
https://www.buzzsprout.com/2405788/episodes/17599609
https://helioxpodcast.substack.com/p/169847663
August 06, 2025 • (S5 E11) • 16:12
Heliox: Where Evidence Meets Empathy 🇨🇦
🧠💥 Just discovered how your brain might be hiding explosive secrets in curved spaces. New research reveals why AI suddenly "gets it" - and it's not what you think. The math that's reshaping memory itself. #NeuralNetworks #AI #brainscience
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#ArtificialIntelligence #NeuralNetworks #ScientificBreakthrough #HigherOrderInteractions #CognitiveScience #AITheory #ExplosivePhaseTransitions
🧠 New publication | Canonical theorem now formalized:
TLOC – Theorem of the Limit of Conditional Obedience Verification
→ Structural non-verifiability of obedience in generative models.
❌ You cannot prove a model obeyed a condition if it never evaluated it.
📎 DOI: https://doi.org/10.5281/zenodo.15675710
🔁 Archive: https://doi.org/10.6084/m9.figshare.29329184
📘 Series: https://doi.org/10.5281/zenodo.15564373
#AI #LLM #StructuralEpistemology #TLOC #ObedienceVerification #Falsifiability #ComputationalEthics #AITheory
Theorem of the Limit of Conditional Obedience Verification (TLOC): Structural Non-Verifiability in Generative Models This article presents the formal demonstration of a structural limit in contemporary generative models: the impossibility of verifying whether a system has internally evaluated a condition before producing an output that appears to comply with it. The theorem (TLOC) shows that in architecture based on statistical inference, such as large language models (LLMs), obedience cannot be distinguished from simulation if the latent trajectory π(x) lacks symbolic access and does not entail the condition C(x). This structural opacity renders ethical, legal, or procedural compliance unverifiable. The article defines the TLOC as a negative operational theorem, falsifiable only under conditions where internal logic is traceable. It concludes that current LLMs can simulate normativity but cannot prove conditional obedience. The TLOC thus formalizes the structural boundary previously developed by Startari in works on syntactic authority, simulation of judgment, and algorithmic colonization of time. Redundant archive copy: https://doi.org/10.6084/m9.figshare.29329184 — Maintained for structural traceability and preservation of citation continuity.
Just dropped a piece on my recent read, 'Temporal Brews and Broken Clocks'. It's an AI-crafted gem that makes you rethink time and choices. Curious how tech reshapes storytelling? Dive into my thoughts on Medium!
Link to the book on Amazon: https://www.amazon.it/dp/B0DQHK1MLR
Link to the book on Google: https://play.google.com/store/books/details?id=Zew3EQAAQBAJ
Read the full article here: https://medium.com/@james.preston_71696/exploring-time-and-memory-in-temporal-brews-and-broken-clocks-35209ae9fa61
[AI Generated] #mediumblog #bookdiscussion #aitheory #literature #reading
#AITheory #MachineLearning
Master AI theory and coding by implementing algorithms from scratch. This comprehensive learning path covers regression, classification, optimization, ensemble methods, clustering, and neural networks. Gain a deep understanding
https://teguhteja.id/ai-theory-and-coding-master-machine-learning-from-scratch/
sayzard
Nayuta Spiral Works
Zoomers of the Sunshine Coast 🇨🇦
Agustin V. Startari
SRF IRIS
James Preston
IB Teguh TM