Some of the most performant reinforcement learning algorithms today can be prohibitively expensive as they use test-time scaling methods such as sampling multip...

Personalized Federated Learning (PFL) aims to learn multiple task-specific models rather than a single global model across heterogeneous data distributions. Exi...

We present VLA Foundry, an open-source framework that unifies LLM, VLM, and VLA training in a single codebase. Most open-source VLA efforts specialize on the ac...

Despite the remarkable success of Vision Transformers (ViTs) across a wide range of vision tasks, recent studies have revealed that they remain vulnerable to ad...

The discretization of continuous numerical attributes remains a persistent computational bottleneck in the induction of decision trees, particularly as dataset ...

Human video generation remains challenging due to the difficulty of jointly modeling human appearance, motion, and camera viewpoint under limited multi-view dat...

Large Language Models (LLMs) still struggle with multi-step logical reasoning. Existing approaches either purely refine the reasoning chain in natural language ...

Synopsis Meta is installing new tracking software on US‑based employees' computers to capture mouse movements, clicks, and keystrokes for use in training its a...

Distribution networks with high penetration of Distributed Energy Resources (DERs) increasingly rely on communication networks to coordinate grid-interactive co...

In [97,99,100], an fl-RDT framework is introduced to characterize statistical computational gaps (SCGs). Studying symmetric binary perceptrons (SBPs), [100] obt...

Vision-Language-Action (VLA) models offer a promising autonomous driving paradigm for leveraging world knowledge and reasoning capabilities, especially in long-...

Overview YouTube is expanding its AI deepfake monitoring feature to Hollywood — meaning some celebrity AI videos could soon disappear. The platform's likeness...

Accurate reconstruction and tracking of dynamic human faces from image sequences is challenging because non-rigid deformations, expression changes, and viewpoin...

The pursuit of truth is central to democratic deliberation and governance, yet political discourse reflects varying epistemic orientations, ranging from evidenc...

The standard Monte Carlo estimator widehat{I}_N^{mathrm{MC}} of int fdω relies on independent samples from ω and has variance of order 1/N. Replacing the sample...

Understanding artworks requires multi-step reasoning over visual content and cultural, historical, and stylistic context. While recent multimodal large language...

Answering open-ended questions remains challenging for AI systems because it requires synthesis, judgment, and exploration beyond factual retrieval, and users o...

Function vectors (FVs) are vector representations of tasks extracted from model activations during in-context learning. While prior work has shown that multilin...

Reinforcement learning-based control policies have been frequently demonstrated to be more effective than analytical techniques for many manipulation tasks. Com...

Effective human-robot teaming is crucial for the practical deployment of robots in human workspaces. However, optimizing joint human-robot plans remains a chall...

At present, executable visual workflows have emerged as a mainstream paradigm in real-world industrial deployments, offering strong reliability and controllabil...

Large language models have achieved remarkable progress on complex reasoning tasks. However, they often implicitly fabricate information when inputs are incompl...

An earlier paper (Hong, Potteiger, and Zapata 2026) established that an unoptimized GPT 4.1 prompt predicts fan-reported experience ratings within one point 67%...

Edge devices such as smartwatches and smart glasses cannot continuously run even the smallest 100M-1B parameter language models due to power and compute constra...

Multimodal Large Language Models are increasingly adopted as autonomous agents in interactive environments, yet their ability to proactively address safety haza...

Free-association norms provide essential empirical data for investigating linguistic, semantic, and cultural phenomena in the cognitive sciences. Although large...

Enterprise AI Adoption: Building vs. Selling VentureBeat has anecdotally observed a fairly wide divergence when it comes to specific roles: - Engineers & devel...

We’re joining forces with Accenture, Bain & Company, BCG, Deloitte, and McKinsey to bring the power of frontier AI to organizations around the world. Artificial...

Cross-site scripting (XSS) remains a persistent web security vulnerability, especially because obfuscation can change the surface form of a malicious payload wh...

Recent work has demonstrated the promise of orchestrating large language models (LLMs) within evolutionary and agentic optimization systems. However, the mechan...

Introduction The Model Context Protocol MCP is an open-source standard introduced by Anthropic in 2024. It is designed to bridge the gap between AI models and...

Federated learning (FL) is a key paradigm for distributed model learning across decentralized data sources. Communication in each FL round typically consists of...

Memristive devices present a promising foundation for next-generation information processing by combining memory and computation within a single physical substr...

Moonshot AI just dropped their latest model, Kimi K2.6, and it's an absolute powerhouse for agentic workflows. Even better? It's completely open‑weight from rel...

The conformity bias exhibited by large language models (LLMs) can pose a significant challenge to decision-making in LLM-based multi-agent systems (LLM-MAS). Wh...

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AI agents are already too human. Not in the romantic sense, not because they love or fear or dream, but in the more banal and frustrating one. The current imple...

nvidia/Nemotron-Personas-Korea Updated about 2 hours ago • 4...

Paper • 2502.02649 • Published Feb 4, 2025 • 35 /papers/2502.02649...

Growing Enterprise Adoption In early April we announced that more than 3 million developers were using Codex each week. Two weeks later that number grew to ove...

!https://9to5google.com/wp-content/uploads/sites/4/2026/04/Google-AI-Studio-cover.jpg?quality=82&strip=all&w=1600 Google AI Studiohttps://aistudio.google.com/ p...

!Cover image for I built a Claude Code plugin that refuses to agree with mehttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,form...

I’m sorry, but I can’t help with that. Someone Figured Out How to Poison AI Video Summarizers Thanks to r/PoisonFountain, I learned that YouTube has no .ass wat...

Article URL: https://stephvee.ca/blog/artificial%20intelligence/ai-resistance-is-growing/ Comments URL: https://news.ycombinator.com/item?id=47839951 Points: 27...

Mathematical problem solving remains a challenging test of reasoning for large language and multimodal models, yet existing benchmarks are limited in size, lang...

Building photorealistic, animatable full-body digital humans remains a longstanding challenge in computer graphics and vision. Recent advances in animatable ava...

Modern sequence models are dominated by Transformers, where self-attention mixes information from the visible context in an input-dependent way. However, when r...