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Pulse · msn.com

msn.com · Nov 14

You're Not Behind on AI Agents Yet. Learn How They Work in 10 Minutes, Before Your Competitors Get Ahead

Your competitors are building AI teams. Here's where to start.

Pulse · note.com

note.com · Nov 14

In an era where ChatGPT does the shopping, just the conclusion｜AI agents can now handle payments. 3 conditions why it's not yet available in Japan

Just the conclusion firstOn November 13, OpenAI announced ChatGPT Wallet. It is a feature that allows the AI agent 'dots' to handle shopping payments on your behalf. Card numbers are not shared with the AI or the store,

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Top picks this weekarXiv

arXiv

Nov 12

Back to Pixels: Lifting Latent Video Diffusion into Pixel Space

Frontier video generation models work in a VAE latent space that compresses video in both space and time. This compression made training tractable, but now limits high-resolution, controllable, and interactive generation -- doubling resolution quadruples token count, conditions apply to groups of frames rather than individual ones, and each response must wait for the rest of its multi-frame block. We present PixVid, a simple yet effective method that lifts a pretrained latent video model to directly generate every frame in pixel space. PixVid keeps the diffusion transformer and replaces the VAE decoder with a convolutional head that renders its outputs into pixels. We find that predicting clean video rather than velocity, together with a larger noise shift, is key to quality. Finetuned from Wan2.1-14B, PixVid is competitive with the latent baseline within $\sim 1.3$M training clips. Working framewise in pixels, it generates at $2\times$ higher resolution with the same per-frame token count, keeps depth-conditioned video editing aligned under fast motion, and responds to each action at the next frame. Project page: https://chenshuo20.github.io/PixVid/

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arXiv

Sep 22

DeepFEAv2: Deep Learning for Transient Finite Element Analysis Beyond Structured Meshes

Finite Element Analysis (FEA) is widely used for transient mechanical simulations, but its high computational cost limits real-time and high-resolution applications. Deep learning surrogate models can reduce this cost; however, many existing approaches are restricted to…

arXiv

Sep 22

Enriching Speech Emotion Representations with Conversational Context

AI Speech emotion recognition with conversational context.

arXiv

Sep 22

Sample, Simulate, Select: Physics-in-the-Loop Text-to-Motion for Humanoids Without Training

Text-to-motion models generate plausible human motion but do not model a robot's dynamics; whole-body tracking controllers execute robot references reliably but cannot replan an infeasible one. Recent language-to-humanoid systems bridge this gap by training. We measure how much…

arXiv

Sep 22

Reliability Theory for AI Control

Reliability theory gives a mature language for layered systems, but its formal tools are not yet standard in frontier AI control. We apply them to Google DeepMind's defenses against rogue deployment. The same control stack can have cubic, quadratic, or linear rare-failure…

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