Latest in AI and developer tools

Today's trail

updated 10m ago

Last hour Today

Pulse · computing.co.uk

computing.co.uk · Nov 5

Revolut turns to self-hosted AI to cut coding costs tenfold over Claude

Pulse · wazzup.ph

wazzup.ph · Nov 5

Tencent Cloud Expands Global Growth and Enterprise AI

Overseas customer base doubles amid triple-digit growth in demand for AI products and services. Tencent previews upcoming Hy4 model releases and expands its enterprise AI portfolio. Tencent has unveiled the enterprise capabilities of its AI office productivity agent, WorkBuddy, while offering a preview of its upcoming Hy4 and Hy4 Flash models at the 2026 Tencent […]

Pulse

Top picks this weekarXiv

arXiv

Nov 4

From Pixels to Actions - Towards Native Vision-Language-Action Policies

Vision-language-action models are typically built on a simple premise: perception is first compressed by visual encoders, and action reasoning begins only afterwards. Yet manipulation often hinges on precisely the visual signals most vulnerable to this abstraction, e.g., local geometry, boundaries, depth, and subtle state changes. This raises a fundamental question: should action policies inherit a fixed visual endpoint, or directly access evolving visual computation? We introduce NEO-VLA, a structurally encoder-free vision-language-action framework. Images are tokenized by lightweight patch convolutional layers and evolve jointly with language throughout the backbone, allowing a flow-matching action expert to draw from instruction-conditioned visual representations at different depths. This simple change reveals a consistent pattern. Native architectures outperform encoder-based counterparts under controlled comparisons; full fine-tuning reduces but does not erase the gap, and additional scale alone cannot recover it. More strikingly, layer-wise probing shows that the action-critical signals often peak well before the final visual representation. Across diverse manipulation…

Top picks

All arXiv Hugging Face GitHub Hacker News

Latest Top this week

arXiv

Sep 22

Faithful Faithfulness Evaluations: Challenges & Pitfalls Learned from a Breast MRI Case Study

Saliency maps are widely used to explain deep learning predictions in medical imaging, yet visually plausible explanations do not necessarily reflect a model's true decision process and may therefore mislead clinicians. We investigate this problem using a Vision…

arXiv

Sep 22

NAWE: Digital Watermarking with Neural-Assisted Watermark Extraction

NAWE (Neural-Assisted Watermark Extraction) combines an explicit signal-processing watermarking construction with a pretrained neural host predictor. A periodic, perceptually masked watermark carrier provides synchronization, Polar coding supplies redundancy, and denoising…

arXiv

Sep 22

GRIP: Gaussian Rendering as a Cross-Modal Bridge for Image-to-Point Cloud Registration

This paper introduces GRIP, a pose-conditioned refinement framework for pixel-to-point matching and 2D to 3D registration. Given an initial coarse pose estimate, GRIP addresses the structural mismatch between grid based image descriptors and unordered point cloud descriptors by…

arXiv

Sep 22

GeoPair: Geometry-Preserving Cross-Layer Factorization for Training-Free Transformer Compression

Transformer architectures exhibit cross-layer redundancies, yet post-training compression pipelines typically optimize layers in isolation or rely on heuristic grouping strategies that disregard layer-specific activation geometries. We introduce a principled, training-free…

This week in Multimodal

This week

Get the morning digest

Today's trail

Pulse

Top picks

Today's trail

This week in Multimodal

Most active this week

Rising tools