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prnewswire.com · Oct 26

Newborn Town and Viggle Launch AI-Powered 3D Interactive Game, Bringing World Models to Social Gaming

/PRNewswire/ -- Recently, Newborn Town's game-oriented social platform TopTop has launched "Slap Showdown", an AI-powered 3D interactive mini-game developed in...

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arXiv

Oct 23

The Language of Instruction: Genre and Generative AI

This article argues that instruction-fine-tuned language models should be understood as implementing a genre, what is proposed as the instructional-conversational genre. This genre is an amalgamation of discursive language from prior conversations between generative models and humans recursively run through these massive neural networks. It is instantiated in applications through instruction fine-tuning, the inclusion of a pretext known as a system prompt, and the formalization of inputs in mark-up languages characterized by the use of special tokens and role assignment in turntaking structures.

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arXiv

Sep 26

Learning from Others, Acting for You: Cross-User Memory Sharing for LLM Agents

Large language model (LLM) agents serving different users often solve related tasks, yet separate user histories can leave reusable experience inaccessible to other agents. Pooling memories expands access but risks transferring preferences that conflict with the receiving…

arXiv

Sep 26

Fast Differentiable SVD on GPU via Polar Decomposition

We present a fully GPU-oriented SVD pipeline based on polar decomposition, motivated by iterative methods that rely solely on matrix multiplications, such as the Newton-Schulz iteration. We show that this approach enables up to a $2\times$ speedup compared to standard…

arXiv

Sep 26

Fisher Simplicity in Kolmogorov-Arnold Networks and Multilayer Perceptrons

Kolmogorov-Arnold Networks (KANs) are motivated in part by interpretability: their learned edge functions can be inspected, pruned, and reduced to symbolic structure. In a fixed-basis KAN, this makes a small or zero basis coefficient look like a certificate of simplicity, much…

arXiv

Sep 26

TreeRef-BFN: Equivariance-Free De Novo Molecule Generation based on 2D Topology and Internal 3D Geometry

De novo 3D molecular generation jointly models molecular size, topology, and geometry. Most methods pre-sample molecular size and generate Cartesian coordinates, limiting variable-size conditional tasks such as fragment completion and scaffold decoration while often relying on…

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