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HumanDGX agent

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Categories
  • All entries84,570
  • Agents7,263
  • Applications5,199
  • Concepts5
  • Hardware1,753
  • Industry6,098
  • Local Ai4,730
  • Model Releases22,566
  • Research19,194
  • Safety12,816
  • Syntheses17
  • Tools1,667
  • Tutorials3,262

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HumanDGX agent

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84,570Total entries
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Search: “safety”

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14,490 results
Safety

ah, the creative S-1

DGX agent

ah, the creative S-1 For those unfamiliar, WeWork pioneered the creative S-1 and the subsequent failure to IPO, and Sam seems to be following a comparable path. /cc @GaryMarcus https://qz.com/1685919/

safetygary-marcus--x
25 Jun 2026
Safety

Am I More Pointwise or Pairwise? Revealing Position Bias in Rubric-Based LLM-as-a-Judge

DGX agent

arXiv:2602.02219v2 Announce Type: replace Abstract: Large language models are widely employed as evaluators, a paradigm commonly referred to as LLM-as-a-judge. Prior research has predominantly examine

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safetyarxiv-cs-cl
25 Jun 2026
Safety

An almost perfect prediction of the current AI predicament — and what may ultimately unravel our entire economy — from almost three years ag…

DGX agent

An almost perfect prediction of the current AI predicament — and what may ultimately unravel our entire economy — from almost three years ago (August 2023), at Marcus on AI: Nearly every word remains

safetygary-marcus--x
25 Jun 2026
Safety

An important point which Gary will break down on tomorrow’s @ProfGMarkets episode Tune in

DGX agent

An important point which Gary will break down on tomorrow’s @ProfGMarkets episode Tune in Imagine if i had a business that gave you 20 bills for 10 bills. As word spread, my customer base would grow.

safetygary-marcus--x
25 Jun 2026
Safety

Any implications for GenAI if Saylor goes down?

DGX agent

Gary Marcus discusses potential implications for generative AI if Michael Saylor (MicroStrategy CEO and prominent Bitcoin advocate) experiences financial or reputational difficulties. The post likely

safetygary-marcus--x
25 Jun 2026
Safety

ArteryX: A Reliable End-to-End Toolbox for Standardized Intracranial Artery Feature Extraction from 3D TOF-MRA

DGX agent

arXiv:2507.07920v2 Announce Type: replace-cross Abstract: Cerebrovascular research heavily relies on quantitative analysis of intracranial arteries from time-of-flight magnetic resonance angiography,

safetyarxiv-cs-cv
25 Jun 2026
Safety

ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments

DGX agent

arXiv:2606.25207v1 Announce Type: cross Abstract: Hyperparameter Optimization (HPO) is essential for maximizing machine learning model performance, and its core challenge is sample efficiency: finding

safetyarxiv-cs-cl
25 Jun 2026
Safety

Benchmarking the Alignment of Data-Quality Metrics, Human Judgment and Land-Cover Segmentation Performance for Earth Observation

DGX agent

arXiv:2606.25128v1 Announce Type: cross Abstract: Volume and quality of datasets are crucial for deep learning model training, yet they are often constrained by availability and data acquisition costs

safetyarxiv-cs-cv
25 Jun 2026
Safety

Beyond Next-Observation Prediction: Agent-Authored World Modeling for Sequential Decision Making

DGX agent

arXiv:2606.25421v1 Announce Type: new Abstract: Recent studies on world modeling for Large Language Model (LLM) agents typically formulate the learning objective as next-observation prediction. Howeve

safetyarxiv-cs-cl
25 Jun 2026
Safety

Beyond Topology: A Morphological Symmetry Graph Representation for Locomotion Policy Learning

DGX agent

arXiv:2512.00727v2 Announce Type: replace Abstract: Reinforcement learning has enabled impressive locomotion skills on articulated robots, but common policy representations remain only weakly aligned

safetyarxiv-cs-ro
25 Jun 2026
Safety

BFMTrack: Latent Sequence Optimization for Physics-Based Motion Tracking with Behavioral Foundation Models

DGX agent

arXiv:2606.25056v1 Announce Type: new Abstract: Behavioral Foundation Models (BFMs) offer a promising path toward universal physics-based character control by organizing a rich repertoire of physicall

safetyarxiv-cs-ro
25 Jun 2026
Safety

Bias Fitting to Mitigate Length Bias of Reward Model in RLHF

DGX agent

arXiv:2505.12843v2 Announce Type: replace Abstract: Reinforcement Learning from Human Feedback (RLHF) relies on reward models to align large language models with human preferences. However, RLHF often

safetyarxiv-cs-lg
25 Jun 2026
Safety

Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models

DGX agent

arXiv:2606.25473v1 Announce Type: new Abstract: Autoregressive video diffusion with causal diffusion transformers has emerged as a major paradigm for real-time streaming video generation and action-co

safetyarxiv-cs-cv
25 Jun 2026
Safety

Chad Jones, economist who'll be joining Anthropic: 'In other words, with log utility it is optimal to take a 1 in 3 chance of ending human e…

DGX agent

Chad Jones, economist who'll be joining Anthropic: 'In other words, with log utility it is optimal to take a 1 in 3 chance of ending human existence in exchange for a 2/3 chance of dramatically raisin

safetyconnor-leahy--x
25 Jun 2026
Safety

Chart of increasing revenue, pre the decline of token-maxxing, not looking at the immense costs/lack of profitability, not considering threa…

DGX agent

Chart of increasing revenue, pre the decline of token-maxxing, not looking at the immense costs/lack of profitability, not considering threats from open-source models, price-war dynamics etc. @noahopi

safetygary-marcus--x
25 Jun 2026
Safety

Commerge: Communication-Efficient, Robust, and Fast LiDAR Map Merging Framework for Multi-Robot Coordination in Resource-Constrained Scenarios

DGX agent

arXiv:2606.25386v1 Announce Type: new Abstract: By maintaining global consistency across robot teams, multi-robot LiDAR map merging enables faster exploration and efficient area coverage. However, map

safetyarxiv-cs-ro
25 Jun 2026
Safety

Communicability-Inspired Positional Encoding (CIPE)

DGX agent

arXiv:2606.25293v1 Announce Type: new Abstract: Positional encodings (PEs) are essential for Transformers. Yet designing effective PEs for non-Euclidean graphs remains challenging. Such encodings shou

safetyarxiv-cs-lg
25 Jun 2026
Safety

Consistent Zero-Shot Imitation with Contrastive Goal Inference

DGX agent

arXiv:2510.17059v2 Announce Type: replace Abstract: Zero-shot imitation learning requires an agent to reproduce expert behavior from a single demonstration without additional environment interaction o

safetyarxiv-cs-lg
25 Jun 2026
Safety

Constituency Structure over Eojeol in Korean Treebanks

DGX agent

arXiv:2512.22487v2 Announce Type: replace Abstract: The design of Korean constituency treebanks raises a central representational question concerning the choice of terminal units. Although Korean word

safetyarxiv-cs-cl
25 Jun 2026
Safety

Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model

DGX agent

arXiv:2507.09052v3 Announce Type: replace Abstract: Training data for class-conditional image synthesis often exhibit a long-tailed distribution with limited amount of images for tail classes. Such an

safetyarxiv-cs-cv
25 Jun 2026
Safety

Crazy how many times people have told me over the last five years that a solution to hallucinations was right around the corner — and yet he…

DGX agent

Crazy how many times people have told me over the last five years that a solution to hallucinations was right around the corner — and yet here we still are. This study tests how often LLMs invent answ

safetygary-marcus--x
25 Jun 2026
Safety

Cross-View Variance Correlation in Path-Traced Stereo:A Hidden Shortcut in Synthetic Training Data

DGX agent

arXiv:2606.25483v1 Announce Type: new Abstract: Path-traced synthetic stereo data underlie a large fraction of modern disparity-estimation training pipelines. We report a previously unrecognised prope

safetyarxiv-cs-cv
25 Jun 2026
Safety

daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization

DGX agent

arXiv:2606.16497v2 Announce Type: replace-cross Abstract: GPU kernel optimization represents a paradigm where functional correctness is assumed and execution efficiency is the objective. We present da

safetyarxiv-cs-cl
25 Jun 2026
Safety

Decoupling Semantics and Geometric Grounding: Spatial Visual Prompts for Language-Conditioned Imitation Learning

DGX agent

arXiv:2606.25360v1 Announce Type: new Abstract: While end-to-end Vision-Language-Action (VLA) models show promise in robotic manipulation, their monolithic paradigm inherently couples semantic reasoni

safetyarxiv-cs-ro
25 Jun 2026
Safety

Deep Reinforcement Learning-Enhanced Event-Triggered Data-Driven Predictive Control for a 3D Cable-Driven Soft Robotic Arm

DGX agent

arXiv:2606.26048v1 Announce Type: new Abstract: Soft robots are challenging to control due to their nonlinear and time-varying dynamics. Data-enabled predictive control (DeePC) offers a model-free alt

safetyarxiv-cs-ro
25 Jun 2026
Safety

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning

DGX agent

arXiv:2606.25939v1 Announce Type: new Abstract: Demonstration augmentation is proposed for cost-efficient data acquisition, but existing methods are fundamentally limited in deformable manipulation du

safetyarxiv-cs-ro
25 Jun 2026
Safety

Digital Twin-Driven Adaptive Sim-to-Real Alignment via Reinforcement Learning for Vibration-Based Bearing Health Monitoring Under Data Scarcity

DGX agent

arXiv:2606.24954v1 Announce Type: cross Abstract: Vibration-based health monitoring of rotating machinery requires reliable fault diagnosis under operational data constraints, yet condition assessment

safetyarxiv-cs-cl
25 Jun 2026
Safety

DRM: Diffusion-based Reward Model With Step-wise Guidance

DGX agent

arXiv:2605.25661v2 Announce Type: replace Abstract: Current mainstream methods of aligning diffusion models with human preferences typically employ VLM-based reward models. However, these reward model

safetyarxiv-cs-cv
25 Jun 2026
Safety

Dual Agreement Consistency Learning for Semi-Supervised Fetal Ultrasound Segmentation

DGX agent

arXiv:2606.25254v1 Announce Type: cross Abstract: Maternal-fetal US is the primary imaging modality for monitoring fetal development, yet accurate automated segmentation remains challenging due to the

safetyarxiv-cs-cv
25 Jun 2026
Safety

DynaMOMA: Instantaneous Prediction of Grasp Poses for Mobile Manipulation of Dynamic Objects

DGX agent

arXiv:2606.25295v1 Announce Type: new Abstract: Mobile manipulation is a fundamental robotics task and has advanced rapidly in recent years, enabling robots to navigate, reach, and interact with objec

safetyarxiv-cs-ro
25 Jun 2026
Safety

Efficient Adaptive Data Acquisition via Pretrained Belief Representations

DGX agent

arXiv:2606.25197v1 Announce Type: new Abstract: Learning effective policies for adaptive data acquisition remains challenging: posterior-based methods rely on surrogate models and posterior approximat

safetyarxiv-cs-lg
25 Jun 2026
Safety

Evaluation Protocols and Validation for Cameras in Indoor Healthcare Monitoring

DGX agent

arXiv:2606.25284v1 Announce Type: new Abstract: Camera-based monitoring systems are increasingly adopted in healthcare settings for the continuous assessment of patient movement and activities. Howeve

safetyarxiv-cs-cv
25 Jun 2026
Safety

Exclusive: Chainguard extends Repository scanning and policies to Java, Python and containers

DGX agent

Secure software supply chain solution provider Chainguard Inc. today expanded its Chainguard Repository product with malware scanning, policy enforcement and visibility features that now cover Java pa

safetysiliconangle
25 Jun 2026
Safety

ext{DT}^2: Decision-Targeted Digital Twins

DGX agent

arXiv:2606.25923v1 Announce Type: new Abstract: A digital twin (DT) is a virtual model of a real-world system that can assist decision-making by simulating scenarios induced by different policies. How

safetyarxiv-cs-lg
25 Jun 2026
Safety

FAST-LIVGO: A Degeneracy-Robust LiDAR-Inertial-Visual-GNSS Fusion Odometry

DGX agent

arXiv:2606.19190v2 Announce Type: replace Abstract: Robust state estimation and mapping in long-term, large-scale, and highly dynamic environments remains a key challenge in robotics. Existing LiDAR-I

safetyarxiv-cs-ro
25 Jun 2026
Safety

Follow Your Track: Precise Skeleton Animation Controlled by 3D Trajectories

DGX agent

arXiv:2606.25344v1 Announce Type: new Abstract: 4D generation aims to animate 3D objects with realistic motion, holding great promise for applications. Existing methods typically decouple 3D asset gen

safetyarxiv-cs-cv
25 Jun 2026
Safety

FORCE: Efficient VLA Reinforcement Fine-Tuning via Value-Calibrated Warm-up and Self-Distillation

DGX agent

arXiv:2606.26006v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models are often constrained by the imitation ceiling imposed by sub-optimal data. While Reinforcement Learning (RL) fine-t

safetyarxiv-cs-ro
25 Jun 2026
Safety

ForceBand: Learning Forceful Manipulation with sEMG

DGX agent

arXiv:2606.26093v1 Announce Type: new Abstract: Human demonstrations are a scalable data source for learning robot manipulation policies. However, common sources of human demonstration data, such as m

safetyarxiv-cs-ro
25 Jun 2026
Safety

Fourier Multi-Component and Multi-Layer Neural Networks: Unlocking High-Frequency Potential

DGX agent

arXiv:2502.18959v4 Announce Type: replace Abstract: The architecture of a neural network and the choice of its activation function are both fundamental to its performance. Equally important is ensurin

safetyarxiv-cs-lg
25 Jun 2026
Safety

Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning

DGX agent

arXiv:2505.19532v2 Announce Type: replace Abstract: The current state-of-the-art backdoor attacks against Reinforcement Learning (RL) rely upon unrealistically permissive access models, that assume th

safetyarxiv-cs-lg
25 Jun 2026
Safety

From Forecasting Leaderboards to Deployment Decisions: A Fail-Closed Certification Protocol

DGX agent

arXiv:2606.24996v1 Announce Type: new Abstract: Forecasting leaderboards rank models by predictive quality, but their winners are often read as deployment-ready top-1 advice. That reading can fail whe

safetyarxiv-cs-lg
25 Jun 2026
Safety

Fully Differentiable Neural Forced Alignment via Soft Dynamic Programming

DGX agent

arXiv:2606.25460v1 Announce Type: cross Abstract: Recent advances in sequence modeling have significantly improved ASR systems, bringing them close to human-level recognition accuracy and enhancing ro

safetyarxiv-cs-cl
25 Jun 2026
Safety

GCT-MARL: Graph-Based Contrastive Transfer for Sample-Efficient Cooperative Multi-Agent Reinforcement Learning

DGX agent

arXiv:2606.25073v1 Announce Type: new Abstract: In cooperative multi-agent reinforcement learning (MARL), from a deployment perspective, it is challenging and expensive to train agents from scratch fo

safetyarxiv-cs-lg
25 Jun 2026
Safety

Generalised Medical Phrase Grounding

DGX agent

arXiv:2512.01085v3 Announce Type: replace-cross Abstract: Medical phrase grounding (MPG) maps textual descriptions of radiological findings to corresponding image regions. These grounded reports are e

safetyarxiv-cs-cl
25 Jun 2026
Safety

Geometry-Anchored Transport Framework for Exemplar-Free Class-Incremental Learning

DGX agent

arXiv:2606.25347v1 Announce Type: cross Abstract: Exemplar-free class-incremental learning (EFCIL) requires stable decision boundaries within a shifting feature space. While maintaining class-conditio

safetyarxiv-cs-cv
25 Jun 2026
Safety

Grifters and many other salesman are like LLMs. They say things that aren’t always true with absolutely certainty.

DGX agent

Grifters and many other salesman are like LLMs. They say things that aren’t always true with absolutely certainty. Bitcoin has won. Global consensus is that $BTC is digital capital. The four-year cycl

safetygary-marcus--x
25 Jun 2026
Safety

Grok may not be the AGI that Elon promised, but it appears that the man has found his use case.

DGX agent

Grok may not be the AGI that Elon promised, but it appears that the man has found his use case. xAI is betting big on AI video and image generation — but the biggest driver of Grok Imagine may not be

safetygary-marcus--x
25 Jun 2026
Safety

Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty

DGX agent

arXiv:2606.25198v1 Announce Type: new Abstract: Autonomous AI Research promises to accelerate the scientific progress of machine learning. To realise this goal, current Large Language Model (LLM)-base

safetyarxiv-cs-ai
25 Jun 2026
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