Nayuta Spiral WorksA new paper arrives on Nov 24, 09:00 JST.
Itโs time to move one step beyond what we thought we understood.
Zoomers of the Sunshine Coast ๐จ๐ฆ๐ง Welcome to the
curved space of everything
https://www.buzzsprout.com/2405788/episodes/17599609
https://helioxpodcast.substack.com/p/169847663
August 06, 2025 โข (S5 E11) โข 16:12
Heliox: Where Evidence Meets Empathy ๐จ๐ฆโฌ
๐ง ๐ฅ 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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โญโญโญโญโญ
Thank you!
#ArtificialIntelligence #NeuralNetworks #ScientificBreakthrough #HigherOrderInteractions #CognitiveScience #AITheory #ExplosivePhaseTransitions
Agustin V. Startari๐ง New publication | Canonical theorem now formalized:
TLOC โ Theorem of the Limit of Conditional Obedience Verification
โ Structural non-verifiability of obedience in generative models.
โ You cannot prove a model obeyed a condition if it never evaluated it.
๐ DOI: https://doi.org/10.5281/zenodo.15675710
๐ Archive: https://doi.org/10.6084/m9.figshare.29329184
๐ Series: https://doi.org/10.5281/zenodo.15564373
#AI #LLM #StructuralEpistemology #TLOC #ObedienceVerification #Falsifiability #ComputationalEthics #AITheory
TLOC โ The Irreducibility of Structural Obedience in Generative Models
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 ฯ(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 โ Maintained for structural traceability and preservation of citation continuity.
SRF IRISIRIS Insights I Nico Formanek: Are hyperparameters vibes?
April 24, 2025, 2:00 p.m. (CEST)
Our second IRIS Insights talk will take place with Nico Formanek.
๐ฆ
This talk will discuss the role of hyperparameters in optimization methods for model selection (currently often called ML) from a philosophy of science point of view. Special consideration is given to the question of whether there can be principled ways to fix hyperparameters in a maximally agnostic setting.
๐ฆ
This is a WebEx talk to which everyone who is interested is cordially invited. It will take place in English. Our IRIS speaker, Jun.-Prof. Dr. Maria Wirzberger, will moderate it. Following Nico Formanek's presentation, there will be an opportunity to ask questions. We look forward to active participation.
๐ฆ
Please join this Webex talk using the following link:
https://lnkd.in/eJNiUQKV
๐ฆ
#Hyperparameters #ModelSelection #Optimization #MLMethods #PhilosophyOfScience #ScientificMethod #AgnosticLearning #MachineLearning #InterdisciplinaryResearch #AIandPhilosophy #EthicsInAI #ResponsibleAI #AITheory #WebTalk #OnlineLecture #ResearchTalk #ScienceEvents #OpenInvitation #AICommunity #LinkedInScience #TechPhilosophy #AIConversations
April 24, 2025, 2:00 p.m. (CEST)
Our second IRIS Insights talk will take place with Nico Formanek.
๐ฆ
This talk will discuss the role of hyperparameters in optimization methods for model selection (currently often called ML) from a philosophy of science point of view. Special consideration is given to the question of whether there can be principled ways to fix hyperparameters in a maximally agnostic setting.
๐ฆ
This is a WebEx talk to which everyone who is interested is cordially invited. It will take place in English. Our IRIS speaker, Jun.-Prof. Dr. Maria Wirzberger, will moderate it. Following Nico Formanek's presentation, there will be an opportunity to ask questions. We look forward to active participation.
๐ฆ
Please join this Webex talk using the following link:
https://lnkd.in/eJNiUQKV
๐ฆ
#Hyperparameters #ModelSelection #Optimization #MLMethods #PhilosophyOfScience #ScientificMethod #AgnosticLearning #MachineLearning #InterdisciplinaryResearch #AIandPhilosophy #EthicsInAI #ResponsibleAI #AITheory #WebTalk #OnlineLecture #ResearchTalk #ScienceEvents #OpenInvitation #AICommunity #LinkedInScience #TechPhilosophy #AIConversations
James PrestonJust 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
IB Teguh TM#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/
