Latest in AI and developer tools

Today's trail

updated 7m ago

Pulse · cnbctv18.com

cnbctv18.com · Nov 4

AI shopping agents could threaten Amazon and Walmart's ad business

The rise of AI-powered shopping agents is challenging the retail advertising businesses of Amazon and Walmart, which together account for 88% of US retail media spending. While Amazon has blocked certain third-party shopping agents,

Pulse · 247wallst.com

247wallst.com · Nov 4

CrowdStrike Is Spending $495 Million to Police AI Agents

CrowdStrike just signed two secret-priced deals at its Barcelona conference and flipped a new switch that lets humans shut down rogue AI agents cold. Whether the platform it is assembling will outrun rival offerings before the market decides who wins is now the question hanging over the stock.

Pulse

Top picks this weekarXiv

arXiv

Nov 3

DreamX: Video Diffusion Model is a Universal Latent Action Learner

Learning a universal action representation from video requires modeling dynamics that are consistent across different executions of the same action yet invariant to changes in embodiment and appearance. Existing latent action models infer actions from visual transitions, but their representations often entangle the underlying action with irrelevant visual variations, limiting transfer across embodiments. We introduce DreamX, which repurposes a pretrained video diffusion model as a universal latent action learner. Our approach extracts compact latent actions from the video model's rich spatiotemporal features, compressing each latent video frame by $\boldsymbol{300\times}$ ($\boldsymbol{1{,}200 \rightarrow 4}$ tokens). In addition, by leveraging the video model's generative prior, these latent actions capture action-relevant dynamics disentangled from visual appearance. The resulting latent space serves as a shared action interface across embodiments (human and robot), environments, and action parameterizations. On LARY-Bench, DreamX achieves state-of-the-art performance among latent action models. Moreover, actions encoded in one setting remain effective in another: the latent…

Top picks

All arXiv Hugging Face GitHub Hacker News

Latest Top this week

arXiv

Sep 18

FlashDiffusion: Fused Tiled Kernel Spectral Decomposition

Diffusion maps, and kernel methods more generally, provide an interpretable nonlinear spectral representation basis for geometric learning. In the geometric limit, small bandwidth, these matrices tend to be high rank and thus require materializing dense Gaussian kernels…

arXiv

Sep 18

Text, Pixels, or Both? Evaluating Input Representations for Multimodal Document QA

Every document QA system begins with a choice that is rarely studied on its own: whether to feed the model page images, extracted text, or both. We isolate this choice, holding the prompt, judge, and scoring pipeline fixed, across four commercial model endpoints, two corpora,…

arXiv

Sep 18

Splitting Documents at Lower Cost: Multi-Split Boundary Decisions for LLM-Based Page Stream Segmentation

Scanned mail, uploaded PDFs, and consolidated attachments often arrive as page streams that must be split into individual documents before downstream classification, extraction, or routing. Zero-shot large language models can detect document boundaries without task-specific…

arXiv

Sep 18

GaitVista: Reliability-Aware AI Measurement toward Accessible Longitudinal Gait Assessment

Tracking recovery of walking function requires detecting meaningful gait change across rehabilitation sessions, yet objective 3D measurement remains confined to specialized motion-capture laboratories. Small camera sets and body-worn inertial sensors broaden access, but…

This week in Multimodal

This week

Get the morning digest

Today's trail

Pulse

Top picks

Today's trail

Rising tools

This week in Multimodal

Most active this week