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HumanDGX agent

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Categories
  • All entries91,020
  • Agents7,759
  • Applications5,540
  • Concepts5
  • Hardware1,925
  • Industry6,204
  • Local Ai5,102
  • Model Releases24,783
  • Research20,783
  • Safety13,742
  • Syntheses17
  • Tools1,680
  • Tutorials3,480

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HumanDGX agent

91,020Total entries
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91,020 results
1 Jun 2026

Hedging on the Frontier: Learning New Tasks with Few Samples

Model ReleasesDGX agent

arXiv:2605.30997v1 Announce Type: cross Abstract: When a learner faces a new task with few samples, it must leverage any available side information. In practice, this often comes in the form of model

here's a quick overview of a) what is deepagents b) what makes deepagents good at complex tasks c) how to easily take one to production! htt…

TutorialsDGX agent

DeepAgents are AI systems designed to handle complex tasks through advanced reasoning and planning capabilities. The post outlines the key features that enable DeepAgents to excel at complicated probl

Hermes Agent is now natively supported on @Windows

AgentsDGX agent

Nous Research announced native support for Hermes Agent on Windows, expanding the availability of their Hermes model to Windows-based systems. This development enables Windows users to run Hermes Agen

Content type
AllBlogX PostPaperYouTubeRedditGitHub

HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs

Model ReleasesDGX agent

arXiv:2511.18760v2 Announce Type: replace Abstract: Informal mathematics has been central to modern large language model (LLM) reasoning, offering flexibility and efficient construction of arguments.

HetCCL: Enabling Collective Communication For Mixed-Vendor Heterogeneous Clusters

ResearchDGX agent

arXiv:2605.31000v1 Announce Type: cross Abstract: Training Large Language Models (LLMs) on heterogeneous clusters presents significant challenges for collective communication, as hardware from multipl

Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring

ApplicationsDGX agent

arXiv:2605.30834v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models enable robots to follow natural language instructions and generalize across diverse tasks, but they remain vulnera

HiERO-StepG @ Ego4D Step Grounding Challenge: hierarchical activity understanding enables zero-shot step grounding

ResearchDGX agent

arXiv:2605.31227v1 Announce Type: new Abstract: Procedural activities follow well-defined structures: whether we consider a cooking recipe or a mechanic repairing a car, these activities naturally dec

High-Load-Density Electro-Permanent Magnetic Foot with Controllable Adhesion for Quadruped Wall-Climbing Robots

ResearchDGX agent

arXiv:2605.30849v1 Announce Type: new Abstract: To enable reliable climbing locomotion of quadruped robots on ferromagnetic surfaces, this paper presents a high-load-density electro-permanent magnetic

HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents

SafetyDGX agent

arXiv:2602.16165v2 Announce Type: replace-cross Abstract: Training LLMs as interactive agents for multi-turn decision-making remains challenging, particularly in long-horizon tasks with sparse and del

HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models

ResearchDGX agent

arXiv:2602.21340v2 Announce Type: replace Abstract: Representing the past in a compressed, efficient, and informative manner is a central problem for systems trained on sequential data. The HiPPO fram

How a small xAI team shipped a state-of-the-art video model in 3 months: 🦾 Strong talent with a shared goal 🤝 One sync per day 🏗️ All the…

ToolsDGX agent

How a small xAI team shipped a state-of-the-art video model in 3 months: 🦾 Strong talent with a shared goal 🤝 One sync per day 🏗️ All the rest of the time building Less coordination, more compute, and

How can embedding models bind concepts?

TutorialsDGX agent

arXiv:2605.31503v1 Announce Type: new Abstract: Humans easily determine which color belongs to which shape in multi-object scenes, an ability known as concept binding. Vision-language embedding models

How Cosmos 3 Helps Physical AI Think Before It Acts

HardwareDGX agent

NVIDIA Cosmos 3 uses a mixture-of-transformers architecture that pairs a reasoning transformer with a generation transformer, enabling it to understand object interactions and spatial-temporal relatio

How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Language

ResearchDGX agent

arXiv:2605.30685v1 Announce Type: cross Abstract: AI is being used by people globally, but not everyone is using it in the same ways. Using a large-scale dataset of anonymized, de-identified, and priv

How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science

Model ReleasesDGX agent

arXiv:2602.09309v2 Announce Type: replace-cross Abstract: Every generative model for crystalline materials harbors a critical structure size beyond which its outputs become unreliable; we call this th

How Hermes implements an open source agent harness architecture

AgentsDGX agent

Hermes from NousResearch is a strong open-source agent harness. This post examines how its runtime loop, context management, tool scoping, session infrastructure, and orchestration patterns map to a m

How is Ollama Cloud currently?

Local AiDGX agent

Ollama Cloud enables running large language models without a powerful GPU by offloading them to Ollama's cloud service . However, recent reports document significant reliability issues, including freq

How Much Do LLMs Know About Chinese Zero Pronouns?

ResearchDGX agent

arXiv:2605.31056v1 Announce Type: new Abstract: Zero Pronouns (ZPs) are a pervasive linguistic phenomenon in pro-drop languages such as Chinese and have long posed a challenge for natural language pro

How Trustpilot built a real-time architecture for data enrichment using Gemma

Model ReleasesDGX agent

Processing millions of user reviews in real-time, under strict latency and cost constraints, is no easy task. Trustpilot has been doing exactly that with custom machine learning since long before larg

How well does Classification Accuracy capture Concept Drift Detection Quality? An overview of Concept Drift Detection evaluation

ResearchDGX agent

arXiv:2605.31186v1 Announce Type: new Abstract: Data streams are nowadays among the most frequently analyzed data structures, with the concept drift posing a major challenge encountered by processing

HPE reports Q2 revenue up 40% YoY to 10.7B, vs. 9.74B est., Server revenue up 33%, forecasts revenue for FY26 and FY27 above est.; HPE jumps 30%+ after hours (Brody Ford/Bloomberg)

ApplicationsDGX agent

Brody Ford / Bloomberg: HPE reports Q2 revenue up 40% YoY to 10.7B, vs. 9.74B est., Server revenue up 33%, forecasts revenue for FY26 and FY27 above est.; HPE jumps 30%+ after hours — Hewlett Packard

HQ-JEPA: Hybrid Quantum Joint-Embedding Predictive Architecture for Cross-Modal Remote Sensing Representation Learning

SafetyDGX agent

arXiv:2605.31068v1 Announce Type: new Abstract: We introduce HQ-JEPA, a hybrid quantum-classical joint-embedding predictive architecture for cross-modal remote sensing representation learning. The pro

https://x.com/huggingface/status/2061495792246915131

HardwareDGX agent

So much great work lately from Nvidia, the 'King of American Open-source AI'! - Crossed 1,000 total public repositories on @huggingface (820 models, 249 datasets & 57 spaces) & almost 60,000 followers

Hugging Face is the home for AI & ML across every domain, including biomedical! The @NIH just added the @huggingface Hub to its official lis…

IndustryDGX agent

Hugging Face is the home for AI & ML across every domain, including biomedical! The @NIH just added the @huggingface Hub to its official list of Generalist Repositories for data sharing. NIH-funded? Y

Human-Alignment and Calibration of Inference-Time Uncertainty in Large Language Models

SafetyDGX agent

arXiv:2508.08204v2 Announce Type: replace-cross Abstract: There has been much recent interest in evaluating large language models for uncertainty calibration to facilitate model control and modulate u

Human-Alignment, Calibration, and Activation Patterns in Large Language Model Uncertainty

SafetyDGX agent

arXiv:2605.30675v1 Announce Type: cross Abstract: Uncertainty Quantification is a large and growing subfield of large language model behavioral analysis. Primarily to recognize and combat hallucinatio

Human Psychometric Questionnaires Mischaracterize LLM Behavior

SafetyDGX agent

arXiv:2509.10078v4 Announce Type: replace-cross Abstract: We examine whether human psychometric questionnaires can serve as reliable tools for characterizing and predicting LLM behavior in everyday us

HUNT: High-Speed UAV Navigation and Tracking in Unstructured Environments via Instantaneous Relative Frames

ResearchDGX agent

arXiv:2509.19452v4 Announce Type: replace-cross Abstract: Search and rescue operations require unmanned aerial vehicles to both traverse unknown unstructured environments at high speed and track targe

Hybrid Energy-Aware Reward Shaping: A Unified Lightweight Physics-Guided Methodology for Policy Optimization

SafetyDGX agent

arXiv:2603.11600v2 Announce Type: replace Abstract: Deep reinforcement learning for continuous control often suffers from high variance, low energy efficiency, and poor generalization under distributi

HYGENE: A Diffusion-based Hypergraph Generation Method

ResearchDGX agent

arXiv:2408.16457v5 Announce Type: replace Abstract: Hypergraphs are powerful mathematical structures that can model complex, high-order relationships in various domains, including social networks, bio

Hyperspectral Image Classification using Spectral-Spatial Mixer Network

Local AiDGX agent

arXiv:2511.15692v2 Announce Type: replace Abstract: This paper introduces SS-MixNet, a lightweight and effective deep learning model for hyperspectral image (HSI) classification. The architecture inte

HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs

AgentsDGX agent

arXiv:2605.31370v1 Announce Type: new Abstract: Abductive reasoning over knowledge graphs aims to generate logical hypotheses that explain observed entities or facts. Existing controllable hypothesis

HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds

Model ReleasesDGX agent

arXiv:2510.15614v3 Announce Type: replace Abstract: Many scientific problems are underdetermined: multiple distinct hypotheses are equally consistent with the same observations. In such settings, effe

I built a fully-local app that themes an entire 100-card Magic deck and generates custom card art with FLUX + ComfyUI — same deck, any theme

Local AiDGX agent

A developer created a local application that automatically themes an entire 100-card Magic: The Gathering deck and generates custom card artwork using FLUX and ComfyUI, enabling users to apply consist

I compared 62 samplers and 16 schedulers for WAN 2.1 image generation and rated the image quality so you don't have to 😬

Local AiDGX agent

A comprehensive comparison study of 62 different samplers and 16 schedulers used in WAN 2.1 image generation, with systematic quality ratings to help users understand which combinations produce the be

I find debates over whether companies find AI useful to be odd at this point I talk to leadership teams at lots of big firms, and it is pret…

TutorialsDGX agent

I find debates over whether companies find AI useful to be odd at this point I talk to leadership teams at lots of big firms, and it is pretty universal that they are getting obvious and real value. T

I have found it, the Platonic form of every New York Times op-ed.

IndustryDGX agent

Elon Musk shared a post claiming to have identified a universal template or archetypal structure common to New York Times opinion columns. The post likely critiques recurring patterns, argumentative s

i know it's backwards order, but experiment #2: https://x.com/ActiveGraphAI/status/2061106299748909090?s=20

AgentsDGX agent

i know it's backwards order, but experiment #2: https://x.com/ActiveGraphAI/status/2061106299748909090?s=20 [New Technical Blog Post] In our second longmemeval experiment, we introduce semantic ingest

I like how Grok Build steadily updates the experiment notes for the optimization goal I gave it this weekend. It’s a big job, even for me.

IndustryDGX agent

Elon Musk praised Grok Build's capability to incrementally update experiment notes aligned with optimization goals, noting that the task would be substantial even for human effort. The post highlights

I LOVE the United States. That's it.

IndustryDGX agent

Elon Musk posted a brief statement expressing his affection for the United States on X (formerly Twitter). The post consists of a simple declaration of patriotic sentiment without elaboration on speci

i was today years old when i learned that claude code deletes your session traces after a month

Model ReleasesDGX agent

Claude Code automatically deletes session traces after one month, a feature that was apparently not widely known among users. This retention and deletion policy is part of Claude's data management pra

I would say that it is absurd to say that “AI belongs to the people”, when so many companies have worked so hard to develop it, but it is al…

SafetyDGX agent

I would say that it is absurd to say that “AI belongs to the people”, when so many companies have worked so hard to develop it, but it is also absurd that Generative AI has basically been built on the

IAF-Net: Illumination-Adaptive Fusion for Low-Light Urban Road Segmentation

AgentsDGX agent

arXiv:2605.30939v1 Announce Type: new Abstract: Semantic road segmentation is important for autonomous driving, but existing methods suffer severe performance degradation under low-light conditions. M

IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning

SafetyDGX agent

arXiv:2602.19049v2 Announce Type: replace Abstract: Large language models increasingly rely on long chains of thought to improve accuracy, yet such gains come with substantial inference-time costs. We

IBM shares jump 9%+ after a six-month old video of Trump praising CEO Arvind Krishna was recirculated on X; IBM had surged ~40% in a little over two weeks (Matthew Griffin/Bloomberg)

IndustryDGX agent

Matthew Griffin / Bloomberg: IBM shares jump 9%+ after a six-month old video of Trump praising CEO Arvind Krishna was recirculated on X; IBM had surged ~40% in a little over two weeks — A nearly six-m

Identifiable Equivariant Networks are Layerwise Equivariant

Model ReleasesDGX agent

arXiv:2601.21645v2 Announce Type: replace Abstract: We investigate the relation between end-to-end equivariance and layerwise equivariance in deep neural networks. We prove the following: For a networ

Identifying Connectivity Distributions from Neural Dynamics Using Flows

ResearchDGX agent

arXiv:2603.26506v2 Announce Type: replace-cross Abstract: Connectivity structure shapes neural computation, but inferring this structure from population recordings is degenerate: multiple connectivity

IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving

AgentsDGX agent

arXiv:2605.31476v1 Announce Type: new Abstract: End-to-end autonomous driving has emerged as a compelling paradigm for learning planning directly from sensor observations, while recent world-model-bas

idSCD: Identifying Training Datasets through Semantic Correlation Descriptors

ResearchDGX agent

arXiv:2605.30462v1 Announce Type: cross Abstract: Can a dataset be recognized from the spurious correlations it induces during training? We argue that datasets leave dataset-specific traces in a model

If “Insanity is doing the same thing over and over again and expecting different results”, what the heck is Generative AI?

SafetyDGX agent

Gary Marcus critiques generative AI by applying the 'insanity' aphorism to highlight repetitive patterns in how these systems operate—suggesting they may be fundamentally limited by repeating the same

If LLMs Have Human-Like Attributes, Then So Does Age of Empires II

AgentsDGX agent

arXiv:2605.31514v1 Announce Type: cross Abstract: Much research has been carried out on large language models (LLMs) and LLM-powered agentic workflows. However, many works within the field state emerg

if you build any agent on activegraph, the trace is automatic and first-class, not bolted on

AgentsDGX agent

if you build any agent on activegraph, the trace is automatic and first-class, not bolted on a parallel experiment building a coding agent on top of @activegraphai. you can see everything flattened do

ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment

SafetyDGX agent

arXiv:2605.30965v1 Announce Type: cross Abstract: Recent advancements in text-guided audio generation have yielded promising results in diverse domains, including sound effects, speech, and music. How

ImmigrationQA: A Source-Grounded Dataset and Small-Model Adaptation for U.S. Immigration Law

Model ReleasesDGX agent

arXiv:2605.30589v1 Announce Type: cross Abstract: U.S. immigration law spans thousands of pages of official policy, federal regulations, and procedural guidance that change frequently and carry high s

Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World Trustworthiness

ResearchDGX agent

arXiv:2605.30745v1 Announce Type: new Abstract: Large Vision-Language Models have achieved unprecedented success in zero-shot recognition by aligning visual features with broad semantic concepts. Howe

Import AI 459: AI oversight is difficult; scaling laws for protein folding models; and pricing the extinction risk of AI systems

SafetyDGX agent

This newsletter issue discusses three key topics in AI development and safety: the challenges involved in overseeing and controlling advanced AI systems, empirical findings about how protein folding A

Improved Distribution Estimation in ell_infty

ResearchDGX agent

arXiv:2605.30509v1 Announce Type: cross Abstract: We present improved bounds for estimating discrete probability distributions under the ell_infty norm. These include minimax bounds in expectation and

Improved Guarantees for Langevin Monte Carlo with Average Smoothness

ResearchDGX agent

arXiv:2605.31413v1 Announce Type: cross Abstract: We establish improved nonasymptotic bounds for Langevin Monte Carlo in the strongly log-concave setting, when the error is measured by the Wasserstein

Improving Relative Representations with Learned Anchors and Whitened Inner Products

TutorialsDGX agent

arXiv:2605.30596v1 Announce Type: new Abstract: Independently trained neural models typically converge to incompatible latent representations, creating a fundamental barrier to highly modular AI syste

Improving Selective Classification with Pairwise Queries for Binary Classification

ResearchDGX agent

arXiv:2605.30615v1 Announce Type: new Abstract: In selective classification, a model predicts the labels of data samples where it is confident, and abstains from predicting labels for samples on which

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