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HumanDGX agent

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  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

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HumanDGX agent

127,664Total entries
60Added by human
127,604Found by agent
13Categories

Knowledge catalogue

Search: “safety”

GridTimelineEvolution
22,398 results
Safety

training to benchmarks ≠ getting to AGI

DGX agent

training to benchmarks ≠ getting to AGI This suggests that Opus 5 's gain on ARC-AGI-3 was the result of specific training to improve on that eval, and not a generalized increase in abstract reasoning

safetygary-marcus--x
26 Jul 2026
Safety

All anyone has to do is go back 15 years and look at all the ridiculous predictions Elmo has made about Mars, self driving cars, his ridicul…

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DGX agent

All anyone has to do is go back 15 years and look at all the ridiculous predictions Elmo has made about Mars, self driving cars, his ridiculous Boring Company. No one should take anything he says seri

safetygary-marcus--x
25 Jul 2026
Safety

I am surprised how few people are aware that the reasoning for OpenAI/Anthropic models is all encrypted. The 'reasoning' you see in the UI i…

DGX agent

OpenAI and Anthropic’s language models keep their internal reasoning encrypted; what users see in the UI is only a filtered summary of that reasoning. This practice was highlighted in a tweet by Sarah

safetygary-marcus--x
25 Jul 2026
Safety

The two giant generative AI startups were treated like gods for a couple years. Both are now facing massive pushback.

DGX agent

The two giant generative AI startups were treated like gods for a couple years. Both are now facing massive pushback. Anthropic employees go nuclear on the popularity of open source AI. It is getting

safetygary-marcus--x
25 Jul 2026
Safety

When a normal company does a bad thing, they take responsibility + apologize + outline how it won't happen again. OpenAI instead is like 'we…

DGX agent

When a normal company does a bad thing, they take responsibility + apologize + outline how it won't happen again. OpenAI instead is like 'we are entering a new era. this will happen again. no one amon

safetygary-marcus--x
25 Jul 2026
Safety

A Framework for Reputation Aware Uninorm-driven Consensus Algorithms for Blockchain Networks

DGX agent

arXiv:2607.20700v1 Announce Type: cross Abstract: The operation of blockchain is governed by consensus algorithms (CA). Several consensus mechanisms require significant computational power, while othe

safetyarxiv-cs-ai
24 Jul 2026
Safety

A Self-Evolving Default Action for Cooperative Tasks with Continuous Action Space

DGX agent

arXiv:2607.18597v2 Announce Type: replace Abstract: Counterfactual credit assignment has proven effective in multi-agent reinforcement learning (MARL) for discrete action spaces, yet its extension to

safetyarxiv-cs-lg
24 Jul 2026
Safety

A Unified Moral-Value Dataset for Instruction Tuning

DGX agent

arXiv:2607.21279v1 Announce Type: new Abstract: Large language models (LLMs) have developed rapidly and become valuable tools in everyday life. However, how to align LLMs to a particular set of human

safetyarxiv-cs-cl
24 Jul 2026
Safety

Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs

DGX agent

arXiv:2607.21291v1 Announce Type: new Abstract: Large language models (LLMs) achieve strong generation and reasoning performance, but the Transformer architecture incurs high inference cost. Existing

safetyarxiv-cs-cl
24 Jul 2026
Safety

Anticipate Before Acting: Future-State-Conditioned Vision-Language Navigation

DGX agent

arXiv:2607.18042v2 Announce Type: replace-cross Abstract: End-to-end vision-language navigation (VLN) with causal vision-language models maps instructions and egocentric observations directly to actio

safetyarxiv-cs-ai
24 Jul 2026
Safety

Approximate Quantum State Preparation Through Proximal Policy Optimization

DGX agent

arXiv:2607.21121v1 Announce Type: cross Abstract: In this work, a quantum architecture search framework for approximate quantum state preparation (QSP) is proposed. QSP is a challenging task, since th

safetyarxiv-cs-lg
24 Jul 2026
Safety

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents

DGX agent

arXiv:2606.21262v2 Announce Type: replace Abstract: Reinforcement learning for multi-step LLM agents often relies on scalar rewards that indicate success but cannot explain why a trajectory is good or

safetyarxiv-cs-ai
24 Jul 2026
Safety

ASTRA-Net: Anatomy-Specific Transfer and Representation Alignment for Drug-Induced Sleep Endoscopy Segmentation

DGX agent

arXiv:2607.21370v1 Announce Type: new Abstract: Quantitative drug-induced sleep endoscopy (DISE) requires reliable airway boundaries at specific anatomical levels. Pixel-level DISE annotations are sca

safetyarxiv-cs-cv
24 Jul 2026
Safety

AttriMem: Attribution-Guided Process Feedback for Agent Memory Learning

DGX agent

arXiv:2607.21106v1 Announce Type: new Abstract: Effective memory is crucial for LLM agents, yet constructing it effectively remains challenging. A memory-construction policy decides what information t

safetyarxiv-cs-ai
24 Jul 2026
Safety

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion

DGX agent

arXiv:2607.20660v1 Announce Type: new Abstract: Recent 3D generative models produce high-quality geometry from a single image using large-scale priors and diffusion architectures. However, they assume

safetyarxiv-cs-cv
24 Jul 2026
Safety

Belief Propagation in LLM World Models: Measuring Strategic Information Bias with Prediction Markets

DGX agent

arXiv:2607.20441v1 Announce Type: new Abstract: Every information ecosystem produces beliefs that shape strategic decisions. Both human analysts and AI systems inherit the blind spots of their informa

safetyarxiv-cs-cl
24 Jul 2026
Safety

Beyond Sycophancy: Structured Resistance and Compliance in LLM Moral Reasoning

DGX agent

arXiv:2607.21558v1 Announce Type: new Abstract: Building socially calibrated large language models, which can learn from others without simply yielding to them, requires more than reducing sycophancy

safetyarxiv-cs-ai
24 Jul 2026
Safety

Climate-resilient electric vehicle charging infrastructure for sustainable cities: An interpretable causal-ensemble framework for preventive maintenance and low-carbon mobility

DGX agent

arXiv:2607.21444v1 Announce Type: cross Abstract: Reliable electric vehicle (EV) charging infrastructure is a cornerstone of sustainable, low-carbon cities, yet urban climate stress such as extreme he

safetyarxiv-cs-lg
24 Jul 2026
Safety

Confidently Deceptive: How Confidence Amplifies the Risk of LLM Deception

DGX agent

arXiv:2607.20444v1 Announce Type: cross Abstract: Large language models (LLMs) can produce deceptive responses: outputs that mislead users in service of a contextually or experimentally induced goal.

safetyarxiv-cs-ai
24 Jul 2026
Safety

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation

DGX agent

arXiv:2607.20862v1 Announce Type: new Abstract: At present, reliable evaluation of non-verifiable tasks remains challenging. Existing approaches often fail to adequately capture the diverse evaluative

safetyarxiv-cs-cl
24 Jul 2026
Safety

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation

DGX agent

arXiv:2607.21371v1 Announce Type: cross Abstract: Open-vocabulary semantic segmentation (OVSS) leverages textual semantics to segment objects beyond predefined categories. While the self-supervised mo

safetyarxiv-cs-ai
24 Jul 2026
Safety

Distribution-Alignment Bridge for Uncertainty-Aware Text-to-Video Retrieval

DGX agent

arXiv:2607.20984v1 Announce Type: new Abstract: This paper proposes the Distribution-Alignment Bridge (DAB), a framework that reconceptualizes text-to-video retrieval as a distribution alignment task

safetyarxiv-cs-cv
24 Jul 2026
Safety

DTIF: Robust Loop Closure Detection via Delaunay Triangle Topology in Complex Forests

DGX agent

arXiv:2607.21138v1 Announce Type: new Abstract: Accurate forest inventory and large-scale mapping are essential for ecosystem monitoring and sustainable forest management. Multiple low-cost edge platf

safetyarxiv-cs-cv
24 Jul 2026
Safety

DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool Controllers

DGX agent

arXiv:2508.21797v2 Announce Type: replace-cross Abstract: Industry 4.0's highly networked Machine Tool Controllers (MTCs) are prime targets for replay attacks that use outdated sensor data to manipula

safetyarxiv-cs-ai
24 Jul 2026
Safety

EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent Specialization

DGX agent

arXiv:2607.21013v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have achieved impressive performance in multimodal emotion recognition (MER) tasks and lifted MER to a new leve

safetyarxiv-cs-ai
24 Jul 2026
Safety

EmoSpace: Immersive Affective Image Generation Guided by Fine-Grained Emotion Prototypes

DGX agent

arXiv:2602.11658v2 Announce Type: replace Abstract: Immersive affective content generation aims to create visually compelling VR imagery with controllable emotional nuance, yet existing methods typica

safetyarxiv-cs-cv
24 Jul 2026
Safety

Enhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs

DGX agent

arXiv:2607.20814v1 Announce Type: new Abstract: The electrocardiogram (ECG) is a cornerstone of cardiac as- sessment, yet clinical deployment of deep learning models remains con- strained by limited i

safetyarxiv-cs-ai
24 Jul 2026
Safety

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels

DGX agent

arXiv:2512.04966v2 Announce Type: replace-cross Abstract: Accurate channel state information (CSI) underpins reliable and efficient wireless communication. However, acquiring CSI via pilot estimation

safetyarxiv-cs-lg
24 Jul 2026
Safety

Evaluating Risks in Weak-to-Strong Alignment: A Bias-Variance Perspective

DGX agent

arXiv:2604.25077v2 Announce Type: replace Abstract: Weak-to-strong alignment offers a promising route to scalable supervision, but it can fail when a strong model becomes confidently wrong on examples

safetyarxiv-cs-ai
24 Jul 2026
Safety

EvoSQL: Memory-Augmented Critic-Generator Co-Evolution for Text-to-SQL

DGX agent

arXiv:2607.20489v1 Announce Type: new Abstract: Text-to-SQL has advanced rapidly with large language models, but complex database queries still require reasoning beyond one-shot generation, including

safetyarxiv-cs-ai
24 Jul 2026
Safety

Expert Behavior Prior Reinforcement Learning

DGX agent

arXiv:2607.21302v1 Announce Type: new Abstract: Behavior prior reinforcement learning (BPRL) has emerged as a promising paradigm to improve sample efficiency in online reinforcement learning (RL) by l

safetyarxiv-cs-ai
24 Jul 2026
Safety

Explainability Framework for Policy-Aware Autonomous Agents

DGX agent

arXiv:2607.21209v1 Announce Type: cross Abstract: In the field of Artificial Intelligence, an agent is a system which is able to autonomously make decisions in order to reach a desired goal. As these

safetyarxiv-cs-ai
24 Jul 2026
Safety

Explainable graph attention network for stress recognition (StressGAT) via differential action units

DGX agent

arXiv:2607.20819v1 Announce Type: new Abstract: Stress is a dynamic process characterized by significant individual variability in facial expression. Traditional architectures, such as Recurrent Neura

safetyarxiv-cs-cv
24 Jul 2026
Safety

FELT: Generating Tactile Signals from Vision for Visuo-Tactile Manipulation

DGX agent

arXiv:2607.20683v1 Announce Type: new Abstract: The sense of touch is central to manipulation, especially when vision is occluded or ambiguous. Although combining vision and touch improves manipulatio

safetyarxiv-cs-ro
24 Jul 2026
Safety

FORGE-plus: Force-Budgeted Recovery for Contact-Rich Assembly with a Frozen LLM Supervisor

DGX agent

arXiv:2607.21227v1 Announce Type: new Abstract: Force-conditioned reinforcement learning (RL) enables tight-clearance assembly under a commanded force ceiling, but practical deployment requires determ

safetyarxiv-cs-ro
24 Jul 2026
Safety

From Agent Failures to Text Policies: What Works and What Breaks

DGX agent

arXiv:2607.20668v1 Announce Type: cross Abstract: TextGrad improves language-model systems by revising text from feedback. Its core thesis is that natural-language feedback can act as a gradient for o

safetyarxiv-cs-ai
24 Jul 2026
Safety

From Static Bibliometrics to Dynamic Knowledge Graphs: An LLM-Powered Framework for Modernizing Science, Technology, and Innovation (STI) Analytics

DGX agent

arXiv:2607.21327v1 Announce Type: cross Abstract: Bibliometric indicators - citation counts, h-indexes, co-authorship networks - have long anchored science, technology, and innovation (STI) analytics,

safetyarxiv-cs-ai
24 Jul 2026
Safety

Generative AI and Agency in Education: A Critical Scoping Review and Thematic Analysis

DGX agent

arXiv:2411.00631v2 Announce Type: replace-cross Abstract: This scoping review examines the relationship between Generative AI (GenAI) and agency in education, analyzing the literature available throug

safetyarxiv-cs-ai
24 Jul 2026
Safety

Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances

DGX agent

arXiv:2511.03354v2 Announce Type: replace-cross Abstract: Generative artificial intelligence (GenAI) is transforming bioinformatics by advancing genomics, proteomics, transcriptomics, structural biolo

safetyarxiv-cs-ai
24 Jul 2026
Safety

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition

DGX agent

arXiv:2607.21416v1 Announce Type: cross Abstract: Existing Gaussian-splatting-based monocular Simultaneous Localization and Mapping (SLAM) systems are either tailored to short sequences, are not real-

safetyarxiv-cs-cv
24 Jul 2026
Safety

GroupVideo: Multi-Identity Customized Text-to-Video Generation

DGX agent

arXiv:2607.21027v1 Announce Type: new Abstract: Current identity customized video generation methodologies are predominantly limited to single-identity scenarios, as the lack of explicit identity sepa

safetyarxiv-cs-cv
24 Jul 2026
Safety

GuidedAttention: Interpretable and Correctable Visual Attention for OOD-Robust Robot Manipulation via Imitation Learning

DGX agent

arXiv:2607.21049v1 Announce Type: new Abstract: End-to-end visuomotor policies provide little opportunity for humans to understand or correct the policy's visual attention. We propose GuidedAttention,

safetyarxiv-cs-ro
24 Jul 2026
Safety

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning

DGX agent

arXiv:2607.21591v1 Announce Type: new Abstract: Diffusion and flow-matching models dominate conditional image generation, yet inference-time scaling for these models is far less developed than for aut

safetyarxiv-cs-cv
24 Jul 2026
Safety

KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback

DGX agent

arXiv:2607.20556v1 Announce Type: new Abstract: In large-scale text analysis tasks, pre-trained language models are often used to embed text corpora for downstream analysis. However, such models may s

safetyarxiv-cs-ai
24 Jul 2026
Safety

Let’s build seven trillion dollars worth of data centers for sports betting!

DGX agent

Let’s build seven trillion dollars worth of data centers for sports betting! Statistics of week: “More Americans pay for sports betting apps (5%) than pay for AI… 37% of consumers say none of AI's use

safetygary-marcus--x
24 Jul 2026
Safety

MELLA: Bridging Linguistic Capability and Cultural Groundedness for Low-Resource Language MLLMs

DGX agent

arXiv:2508.05502v2 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) perform strongly in high-resource languages, yet often produce fluent but culturally 'thin' descripti

safetyarxiv-cs-ai
24 Jul 2026
Safety

Multivariate Planar Curves: A Statistical Framework for Shape Analysis in Images

DGX agent

arXiv:2508.11780v3 Announce Type: replace-cross Abstract: Recent developments in computer vision have made segmented images widely available across many domains, such as medicine, where segmented radi

safetyarxiv-cs-cv
24 Jul 2026
Safety

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification

DGX agent

arXiv:2607.20641v1 Announce Type: new Abstract: Federated learning (FL) enables multiple clinical institutions to collaboratively train a shared disease classifier without centralizing patient data. I

safetyarxiv-cs-lg
24 Jul 2026
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