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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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127,664Total entries
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Knowledge catalogue

Search: “safety”

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22,392 results
Safety

Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors

DGX agent

arXiv:2602.04119v2 Announce Type: replace Abstract: The application of generative models for experimental drug discovery campaigns is severely limited by the difficulty of designing molecules de novo

safetyarxiv-cs-lg
10 Jun 2026
Human
DGX agent

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Safety

Task Robustness via Re-Labelling Vision-Action Robot Data

DGX agent

arXiv:2606.10918v1 Announce Type: cross Abstract: The recent trend in scaling models for robot learning has resulted in impressive policies that can perform various manipulation tasks and generalize t

safetyarxiv-cs-lg
10 Jun 2026
Safety

TD-Grokking: Learning from Zero-Reward Problems by Training-Time Decomposition

DGX agent

arXiv:2606.09883v1 Announce Type: cross Abstract: Large language models (LLMs) have made remarkable progress in reasoning tasks, largely driven by post-training paradigms, especially reinforcement lea

safetyarxiv-cs-ai
10 Jun 2026
Safety

Test-time Adversarial Takeover: A Real-time Hijacking Interface against Robotic Diffusion Policies

DGX agent

arXiv:2606.10371v1 Announce Type: cross Abstract: Diffusion-based action generation has become a foundational component of embodied AI, but its reliance on visual conditioning leaves deployed visuomot

safetyarxiv-cs-ai
10 Jun 2026
Safety

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning

DGX agent

arXiv:2606.11087v1 Announce Type: cross Abstract: Expressive continuous control policies, such as diffusion and flow models, form the backbone of recent advances in scaling imitation learning for simu

safetyarxiv-cs-ai
10 Jun 2026
Safety

The essay also covers what AI’s steep trajectory means for jobs and the economy, scientific progress, civil liberties, and geopolitics.

DGX agent

Dario Amodei's essay discusses the broad societal implications of AI's rapid advancement, examining its potential impacts across multiple domains including employment, economic disruption, accelerated

safetydario-amodei--x
10 Jun 2026
Safety

The Role of Feedback Alignment in Self-Distillation

DGX agent

arXiv:2606.11173v1 Announce Type: new Abstract: Conditioning a language model on additional context, such as feedback on a previous attempt, typically improves its response. Self-distillation trains t

safetyarxiv-cs-ai
10 Jun 2026
Safety

The Whale That Outswam Evolution: Swarm Intelligence Maximises Memory in Connectome Reservoirs

DGX agent

arXiv:2606.09902v1 Announce Type: cross Abstract: Reservoir computing exploits the fixed dynamics of a recurrent network for temporal processing, requiring only a trained linear readout. Biological ne

safetyarxiv-cs-ai
10 Jun 2026
Safety

there is an epidemic of this scam, with stolen picture and random user names and handles. note my reply lol and do not get taken.

DGX agent

Gary Marcus warns about a widespread scam epidemic involving fake profiles that use stolen pictures and randomly generated usernames/handles to deceive people. He shares an example of his response to

safetygary-marcus--x
10 Jun 2026
Safety

This is genuinely big news, major unintended consequences.

DGX agent

This is genuinely big news, major unintended consequences. 🚨Breaking news that could be huge, and enormously bad for GenAI, if other countries make similar decisions. https://the-decoder.com/landmark-

safetygary-marcus--x
10 Jun 2026
Safety

this is important. and scary.

DGX agent

this is important. and scary. CAISI has reportedly been directed to stop publishing public model assessments as the new AI EO gets implemented. Natsec engagement on AI is essential. But pulling CAISI'

safetygary-marcus--x
10 Jun 2026
Safety

Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was bui…

DGX agent

Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technolog

safetyboris-cherny--x
10 Jun 2026
Safety

Toward Calibrated, Fair, and accurate Deepfake Detection

DGX agent

arXiv:2606.09881v1 Announce Type: cross Abstract: Deepfake detectors show large performance gaps across demographic groups. Existing fairness approaches require demographic labels, retraining, or sacr

safetyarxiv-cs-cv
10 Jun 2026
Safety

TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning

DGX agent

arXiv:2606.11119v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) is a promising approach for enhancing reasoning and agentic behavior in large language models. H

safetyarxiv-cs-ai
10 Jun 2026
Safety

Trading Utility for Dynamic Fairness in Multiple Resource Division with Sequential Demand

DGX agent

arXiv:2606.10472v1 Announce Type: cross Abstract: Dynamic multi-resource allocation is a central problem in shared computing environments, where users' demands arrive sequentially and resources must b

safetyarxiv-cs-lg
10 Jun 2026
Safety

UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors

DGX agent

arXiv:2606.11131v1 Announce Type: new Abstract: Most existing deep learning-based PET image denoising methods assume a fixed and known dose reduction factor (DRF) for low-dose PET images. However, the

safetyarxiv-cs-cv
10 Jun 2026
Safety

Using Probabilistic Programs to Train Inductive Reasoning in Large Language Models

DGX agent

arXiv:2606.09856v1 Announce Type: cross Abstract: Post-training Large Language Models (LLMs) for reasoning typically focuses on deductive tasks such as mathematics and coding where correctness is veri

safetyarxiv-cs-ai
10 Jun 2026
Safety

Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification

DGX agent

arXiv:2411.05698v3 Announce Type: replace-cross Abstract: Convolutional Neural Networks (CNNs) have shown remarkable performance in image classification. However, interpreting their predictions is cha

safetyarxiv-cs-ai
10 Jun 2026
Safety

Warren to SEC, lightly paraphrased: “Do your f’ing job, and don’t let retail investors get screwed”

DGX agent

Senator Elizabeth Warren criticized the SEC for insufficient enforcement and investor protection, urging the agency to strengthen oversight and prevent harm to retail investors. The post, shared by AI

safetygary-marcus--x
10 Jun 2026
Safety

What if, Germany locked itself out of the LLM race and • Had students who actually learned things in high school, instead of turning in prom…

DGX agent

What if, Germany locked itself out of the LLM race and • Had students who actually learned things in high school, instead of turning in prompt outputs they barely read • Emerged from the sea of slop •

safetygary-marcus--x
10 Jun 2026
Safety

What Should a Skill Remember? Quality--Cost Trade-offs in Cost-Aware Skill Rewriting for Language Model Agents

DGX agent

arXiv:2606.09421v2 Announce Type: replace Abstract: Large language model agents increasingly rely on skills: reusable procedural documents encoding workflows, tool use, implementation patterns, valida

safetyarxiv-cs-cl
10 Jun 2026
Safety

When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models

DGX agent

arXiv:2512.06343v3 Announce Type: replace-cross Abstract: Reward models are central to Large Language Model (LLM) alignment within the framework of RLHF. The standard objective used in reward modeling

safetyarxiv-cs-ai
10 Jun 2026
Safety

When to Align, When to Predict: A Phase Diagram for Multimodal Learning

DGX agent

arXiv:2606.11190v1 Announce Type: new Abstract: Cross-modal alignment (CA) and cross-modal prediction (CP) are the dominant paradigms for multimodal representation learning, yet there is no systematic

safetyarxiv-cs-lg
10 Jun 2026
Safety

Wow. This is worth watching, might have huge impact. @SenWarren makes some valid points, and the SEC owes her public answers

DGX agent

Wow. This is worth watching, might have huge impact. @SenWarren makes some valid points, and the SEC owes her public answers Sen. Warren calls on SEC to delay SpaceX IPO @CNBC https://www.cnbc.com/202

safetygary-marcus--x
10 Jun 2026
Safety

YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale

DGX agent

arXiv:2606.10244v1 Announce Type: cross Abstract: We introduce Yielding Universal Bidigital Interface (YUBI), a finger-aligned gripper designed to enable intuitive, ergonomic, and scalable data collec

safetyarxiv-cs-ai
10 Jun 2026
Safety

A Finetuned SpeechLLM for Joint Multi-Granular L2 Assessment and Natural-Language Rationales

DGX agent

arXiv:2606.09470v1 Announce Type: cross Abstract: Automated L2 speech assessment can assign proficiency labels, but often lacks interpretability. We propose a rubric-guided SpeechLLM for multi-aspect,

safetyarxiv-cs-ai
9 Jun 2026
Safety

A Geometric Unification of Concept Learning with Concept Cones

DGX agent

arXiv:2512.07355v2 Announce Type: replace Abstract: Two traditions of interpretability have evolved side by side but seldom spoken to each other: Concept Bottleneck Models (CBMs), which prescribe what

safetyarxiv-cs-ai
9 Jun 2026
Safety

A Joint Finite-Sample Certificate for Adaptive Selective Conformal Risk Control

DGX agent

arXiv:2606.08517v1 Announce Type: new Abstract: Selective predictors answer on confident inputs and abstain elsewhere; deploying one safely needs a single finite-sample certificate that simultaneously

safetyarxiv-cs-lg
9 Jun 2026
Safety

A Mixed Diet Makes DINO An Omnivorous Vision Encoder

DGX agent

arXiv:2602.24181v2 Announce Type: replace-cross Abstract: Pre-trained vision encoders like DINOv2 have demonstrated exceptional performance on unimodal tasks. However, we observe that their features a

safetyarxiv-cs-ai
9 Jun 2026
Safety

A Unifying Lens on Reward Uncertainty in RLHF

DGX agent

arXiv:2606.09073v1 Announce Type: cross Abstract: Reinforcement learning from human feedback (RLHF) is bottlenecked by reward hacking, where the policy exploits errors in a proxy reward model (RM) and

safetyarxiv-cs-ai
9 Jun 2026
Safety

Ablation-Reversible Heads Don't Transfer: A Stress Test for Mechanistic Role Claims in Transformers

DGX agent

arXiv:2606.08292v1 Announce Type: new Abstract: In mechanistic interpretability, attention heads are commonly elevated to role claims (e.g., 'this head represents addition') when they are necessary fo

safetyarxiv-cs-ai
9 Jun 2026
Safety

absolutely correct

DGX agent

absolutely correct @GaryMarcus I've recently learned not to believe anything that anyone says anymore when it comes to AI companies. They're all competing to win against each other while exploiting, s

safetygary-marcus--x
9 Jun 2026
Safety

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies

DGX agent

arXiv:2606.08508v1 Announce Type: cross Abstract: Generative robot policies fail unpredictably at deployment: they hesitate at critical moments, drift off-task, or commit to unrecoverable actions. Exi

safetyarxiv-cs-ai
9 Jun 2026
Safety

Adaptive Loss Balancing for Noise-Robust GRPO in Generative Recommendation

DGX agent

arXiv:2606.08480v1 Announce Type: cross Abstract: Reinforcement learning (RL) presents a promising avenue for enhancing generative recommendation beyond supervised imitation, leveraging reward signals

safetyarxiv-cs-ai
9 Jun 2026
Safety

Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents

DGX agent

arXiv:2606.09039v1 Announce Type: new Abstract: This study proposes the Behavioral Protocol Framework (BPF), an entropy-controlled pluralistic alignment framework designed to address two critical chal

safetyarxiv-cs-ai
9 Jun 2026
Safety

AgriGov: A Structured Multilingual Dataset Curation for Indian Government Schemes for Farmers

DGX agent

arXiv:2606.08272v1 Announce Type: cross Abstract: AgriGov is a curated, trilingual (English-Hindi-Marathi) dataset designed to address the scarcity of domain-grounded multilingual resources for agricu

safetyarxiv-cs-ai
9 Jun 2026
Safety

AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing

DGX agent

arXiv:2606.09811v1 Announce Type: cross Abstract: World-action models have emerged as a promising paradigm for robot manipulation, jointly modeling visual scene dynamics and actions to inject physical

safetyarxiv-cs-ai
9 Jun 2026
Safety

AI Code Sandboxes: A Comparative Security Study. Part 1 of 2 -- Engine-Level Properties (Attack Surface, Leakage, Stackability, CVE History, Patch Cadence, Fuzzing)

DGX agent

arXiv:2606.08433v1 Announce Type: cross Abstract: This paper reads six engine-level measurements together -- 1.1 host attack surface, 1.2 information leakage, 1.3 defense-in-depth stackability, 1.4 pu

safetyarxiv-cs-ai
9 Jun 2026
Safety

AI-Integrated Learning Management System for Middle School: A Longitudinal Study of Learning Outcomes Through High School and Beyond

DGX agent

arXiv:2606.07544v1 Announce Type: cross Abstract: Middle school is a key window for building core academic skills and the learning routines students carry into later grades, yet many students still fa

safetyarxiv-cs-ai
9 Jun 2026
Safety

Aligned but Not Partner-Specific: Distinguishing How Multimodal LLM Agents Succeed in Reference Games Without Human-Like Conventions

DGX agent

arXiv:2606.08081v1 Announce Type: cross Abstract: Repeated reference games test whether interlocutors replace their initially long descriptions with shorter, partner-specific conventions grounded in s

safetyarxiv-cs-ai
9 Jun 2026
Safety

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model

DGX agent

arXiv:2507.08920v4 Announce Type: replace-cross Abstract: We introduce AMix-1, a powerful protein foundation model built on Bayesian Flow Networks and empowered by a systematic training methodology, e

safetyarxiv-cs-ai
9 Jun 2026
Safety

An Agency-Transferring Model-Free Policy Enhancement Technique

DGX agent

arXiv:2606.09825v1 Announce Type: cross Abstract: Training reinforcement learning (RL) policies from scratch is costly: it requires careful reward and environment design, extensive tuning, and substan

safetyarxiv-cs-ai
9 Jun 2026
Safety

Anchor-Conditioned Compositional Control for Landscape Image Generation

DGX agent

arXiv:2606.07638v1 Announce Type: cross Abstract: Image generative models, though widely used as creative tools, offer limited support for the kind of compositional control that photographers and visu

safetyarxiv-cs-ai
9 Jun 2026
Safety

Anthropic didn’t just add guardrails to make Mythos safer; they added guardrails to protect their own IP. *Their own IP*. They are still as …

DGX agent

Anthropic didn’t just add guardrails to make Mythos safer; they added guardrails to protect their own IP. *Their own IP*. They are still as happy as fuck to build their AI on other people’s IP. Intere

safetygary-marcus--x
9 Jun 2026
Safety

Anthropic played the media like a fiddle. From “untold catastrophe” to “check our latest model”, in two months and a day 🙄 (cc @tomfriedman…

DGX agent

Anthropic played the media like a fiddle. From “untold catastrophe” to “check our latest model”, in two months and a day 🙄 (cc @tomfriedman) This is the scary phase of AI — a model deemed so powerful

safetygary-marcus--x
9 Jun 2026
Safety

Autonomous Aerial Manipulation via Contextual Contrastive Meta Reinforcement Learning

DGX agent

arXiv:2606.08533v1 Announce Type: new Abstract: Unmanned aerial vehicles (UAVs) are increasingly being deployed in logistics, service robotics, and other real-world applications, creating a growing de

safetyarxiv-cs-lg
9 Jun 2026
Safety

Autonomous FPV Flight with Translational Optical Flow and Uncertainty Mask

DGX agent

arXiv:2606.09088v1 Announce Type: new Abstract: Autonomous FPV quadrotor flight in complex environments using a monocular RGB camera as the sole exteroceptive sensor remains a fundamental challenge. R

safetyarxiv-cs-ro
9 Jun 2026
Safety

Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation

DGX agent

arXiv:2606.09183v1 Announce Type: new Abstract: Autonomous obstacle removal from the ground is an important earthwork task, but this is difficult to automate because an excavator must adapt its excava

safetyarxiv-cs-ro
9 Jun 2026
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