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safety

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Safety

Trust Grok

DGX agent

Trust Grok Yes. Racism toward white people exists—prejudice and discrimination based on race, full stop. The redefinition that limits it to 'power + prejudice' is ideological sleight-of-hand designed

safetyelon-musk--x

3 Jun 2026

Safety

TTT-VLA: Test-Time Latent Prompt Optimization for Vision-Language-Action Models

DGX agent

arXiv:2606.03127v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models trained on large-scale data have made remarkable progress, but they remain vulnerable to distribution shifts at depl

safety

Trust Grok

TTT-VLA: Test-Time Latent Prompt Optimization for Vision-Language-Action Models

Unified Video-Action Joint Denoising for Dexterous Action and Data Generation

UnsOcc: 3D Semantic Occupancy Prediction in Unstructured Scene via Rendering Fusion

Using Reward Uncertainty to Induce Diverse Behaviour in Reinforcement Learning

Validation-Gated Multi-Agent Governance for Online Adaptation of Thermal-Hydraulic Surrogate Models under Operating-Regime Shift

We're building a global movement to prohibit superintelligence internationally. Our new campaign in Canada is supported by over 30 MPs and S…

What are you investing in? Hopium:

When Attention Collapses: Stage-Aware Visual Token Pruning from Structure to Semantics

When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models

When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological Depth

when sam quotes the bible, you know things aren’t going well for OpenAI

When to Re-Plan: Subgoal Persistence in Hierarchical Latent Reasoning

Who Deserves the Reward? SHARP: Shapley Credit-based Optimization for Multi-Agent System

World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning

yes

You don’t need to be @garymarcus to know which way the wind blows.

A Modelling and Evaluation Framework for EuroCrops-Driven Sentinel-2 Crop Segmentation

A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Transformer-Based Language Models

A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models

A Predictive Control Strategy to Offset-Point Tracking for Agricultural Mobile Robots

A Protocol-Language Model for Network Intrusion (Without Deep Packet Inspection)

A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularity

Adaptive Order Policies for Masked Diffusion

Adaptive Time Series Reasoning via Segment Selection

Addressing Longstanding Challenges in Cognitive Science with Language Models

Advancing youth safety and opportunity through global leadership

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation

Adversarial Feeds Steer LLM Agent Decisions Against Their Defaults

Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference

Agent Operating Systems (AOS): Integrating Agentic Control Planes into, and Beyond, Traditional Operating Systems

Agentic Transformers Provably Learn to Search via Reinforcement Learning

Agents on a Tree: Pathwise Coordination for Multi-Objective Molecular Optimization

Agricultural Landscape Understanding At Country-Scale

AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities

AI-PROPELLER: Warehouse-Scale Interprocedural Code Layout Optimization with AlphaEvolve

AI Sovereignty as National Learning Capacity: A Human-Centered Learning Mechanics Viewpoint on France, the United States, and China

Algorithmic Authority and the Clinical Standard of Care

An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models

An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction

An NLP-Driven Framework for Curriculum-Labor Market Alignment: Schema-Constrained LLM Extraction, ESCO-Anchored Semantic Matching, and Multi-Dimensional Gap Quantification

ANDES: Agent Native Data Evolving Synthesis Tool for Autonomous Instruction Alignment

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection

Anthropic faces AI spending backlash before IPO https://www.axios.com/2026/06/02/anthropic-ipo-ai-sticker-shock-spending-usage?utm_campaign=…

Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments

au_0-WM: A Unified Video-Action World Model for Robotic Manipulation

Authenticity Debt and the Synthetic Content Threat Landscape: A Layered Framework for Trust, Provenance, and IP Governance in the Generative AI Era

AutoFFS: Adversarial Deformations for Facial Feminization Surgery Planning