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Pulse · wersm.com

wersm.com · Oct 25

1Password Lets AI Agents Log In Without Seeing Your Password

Password for Agents lets Muse, ChatGPT Work, Claude and other AI agents sign into accounts without ever seeing or storing your credentials.

Pulse · siliconhillsnews.com

siliconhillsnews.com · Oct 25

Silicon Hills News Daily Roundup — Sunday, Oct. 25, 2026

Austin Tech Week Kicks Off Monday; Archer Maps Air Taxi Routes to COTA, UT Launches AI Sports Lab Five days of startup programming start Monday at STATION Austin, as Archer Aviation proposes electric air taxi routes to Circuit of the Americas, UT Athletics opens an AI lab, and XBiotech names a co-CEO. Austin Tech Week […]

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arXiv

Oct 22

A Unified Framework for Image-to-3D Part Generation via Variable Granularity

Controllable 3D part generation is pivotal for digital asset creation, yet existing methods lack the flexibility to accommodate diverse user workflows requiring varying levels of control. In this paper, we introduce FlexPart, a unified image-to-3D part generation framework that supports variable-granularity geometric conditions within a single model. By seamlessly integrating heterogeneous inputs, ranging from sparse points to dense bounding boxes and masks, via gated adaptive modulation, FlexPart unlocks a powerful cross-modal synergy. We also propose an asymmetric geometric guidance mechanism that leverages strong spatial priors to align representations across granularities, improving geometric consistency and facilitating inter-task synergy. Under mask conditioning on PartVerseXL, FlexPart reduces Part CD by 16.6% relative to TripoSG + SAM3D and by 10.5% relative to OmniPart, while maintaining competitive whole-mesh quality. The code can be found at https://github.com/Gucci233/FlexPart

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arXiv

Oct 22

Co-Recursive Semantic Self-Extension: A Mathematical Foundation for Open-Ended Intelligence

Artificial intelligence has advanced through scale, data, and computation, yet remains bounded by its representational framework. We ask what makes intelligence open-ended. Every inferential system selects meaningful distinctions, limiting what it can learn. Within a fixed…

arXiv

Oct 22

What Pairwise Evaluation Misses: Reward Scores across Prompts

Reward models score responses for preference optimization, filtering and ranking, and pooling scores across prompts needs them to be comparable. Yet pairwise evaluation compares two responses to the same prompt, so any score component shared by a prompt's responses cancels and…

arXiv

Oct 22

Transformers with CoT Discover Heavy-Ball Acceleration Through Training

Modern transformers often solve complex tasks by generating and refining intermediate reasoning steps. To develop a theoretical understanding of chain-of-thought (CoT) reasoning, a notable recent study by Huang et al. (2025) viewed transformers as algorithm executors, and…

arXiv

Oct 22

I$^2$-KAN: Interpretable Intra- and Inter-Modal Multi-Pathway Representation Learning for Multimodal Sentiment Analysis

Multimodal sentiment analysis (MSA) aims to infer sentiment by integrating linguistic, acoustic, and visual information. However, many fusion methods integrate modality-specific representations and cross-modal interactions into joint representations, making it difficult to…

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