Humans can invent preferences faster than models can learn to satisfy them
MACHINE LEARNING
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New Research Introduces Adversarial Parameter Decomposition for Neural Network Interpretability
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The "model weights are unreadable" excuse just died in one paper.
— AlphaSignal AI (@AlphaSignalAI) 18 mai 2026
Neural networks have billions of parameters.
Nobody really knows what each one does.
A new paper introduces adVersarial Parameter Decomposition.
The method splits a model's weights into small,… pic.twitter.com/izUeHRCQ5fThe "model weights are unreadable" excuse just died in one paper. Neural networks have billions of parameters. Nobody really knows what each one does. A new paper introduces adVersarial Parameter Decomposition. The method splits a model's weights into small,
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Addressing out-of-distribution detection in LLMs
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Why don’t LLM’s just tell you when you are asking a question / doing something that is out of distribution?
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Amazon Nova enhances computer vision for industrial quality detection
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Computer vision for quality detection is one of the fastest AI use cases to deliver results on the factory floor. The barrier used to be the size of the training dataset. Amazon Nova is changing that calculus at Hannover Messe 2026. #PhysicalAI #QualityControl #IIoT #aws_ai pic.twitter.com/fQD6vtQ1Yv
— Lucian Fogoros (@fogoros) 18 mai 2026Computer vision for quality detection is one of the fastest AI use cases to deliver results on the factory floor. The barrier used to be the size of the training dataset. Amazon Nova is changing that calculus at Hannover Messe 2026. #PhysicalAI #QualityControl #IIoT #aws_ai
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A Closer Look Into The Math Behind Neural Networks
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A Closer Look Into The Math Behind Neural Networks! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Math-Neural-Ne
tworks
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Models show consistent theory-of-mind failures
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Its a consistent theory-of-mind failure in models that are otherwise suprisingly good at theory-of-mind
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AI Model Predicts Alzheimer’s Outcomes from MRI and Demographics
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A single MRI + demographics + AI predicts current and future cognitive scores and outcomes for Alzheimer’s disease
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Unified Vision World Models framework from Beijing Jiaotong, ByteDance, Tencent
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What if AI could learn the world just by watching? Researchers from Beijing Jiaotong, ByteDance, Tencent present a unified framework for Vision World Models: encoding visuals, learning dynamics, simulating outcomes. This survey outperforms fragmented taxonomies, outlining
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Blind ambition of AI agents can cause digital disasters
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Blind ambition: #AIAgents can turn tasks into #Digital disasters
by David Danelski, University of California @TechXplore_com Learn more: https://
bit.ly/4935nbf #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning -
Analyzing LLM tokenization and cognitive competence
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Ils peuvent faire des jeux de mots: "penser" au niveau du token n'empêche pas de maîtriser un ensemble plus large, tout comme écrire lettre par lettre ne vous empêcherait pas d'écrire tout un livre. Le problème est davantage un problème de compétences mais la compétence des LLM