Search: “safety”

Revisiting Lexicon Evaluation in Unsupervised Word Discovery

arXiv:2606.06183v1 Announce Type: cross Abstract: Building a lexicon from discovered word-like units is a central goal in zero-resource speech processing. But do our evaluations provide a trustworthy

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Robust Scene Transfer for PointGoal Navigation via Privileged Sensor Guided Contrastive Learning

DGX agent

arXiv:2606.05506v1 Announce Type: new Abstract: We propose a sensor-guided adaptive contrastive learning framework for visual representation learning in PointGoal navigation. During training, privileg

safetyarxiv-cs-cv

5 Jun 2026

Seeking Counsel: Ongoing Targeted Campaign Against US Law Firms

Written by: Chad Reams, Tufail Ahmed, Keith Knapp, Ashley Frazer, Tyler McLellan Introduction From January through May 2026, Mandiant identified a financially motivated data theft extortion campaign e

safetygoogle-cloud-ai

sorry @geoffreyhinton and @RichardDawkins

sorry @geoffreyhinton and @RichardDawkins Ted Chiang is right: claiming that LLMs are conscious is just ridiculous. One simple example. If you ask GPT to imitate a conversation between Julius Caesar a

Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology

arXiv:2606.06224v1 Announce Type: new Abstract: Explanations of multiple instance learning (MIL) models are widely used for validation and discovery in digital histopathology. Existing methods primari

TAM: Torque Adaptation Module for Robust Motion Transfer in Manipulation

arXiv:2606.06218v1 Announce Type: new Abstract: A policy tuned for one robot often behaves differently on another, whether due to the sim-to-real gap, unknown payloads, or the differing dynamics of tw

Tech stocks are sliding. Maybe S&P’s decision to make mega IPOs stand on their two feet is giving speculators pause? 🤔

S&P's decision to require mega IPOs to meet higher independence standards may be contributing to recent tech stock declines, as it could reduce speculative buying pressure on newly public companies. G

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies

arXiv:2606.06491v1 Announce Type: new Abstract: Robot manipulation alternates between low-risk transit phases that call for fast execution and high-risk contact stages that demand slow, precise motion

Texture-preserving implicit neural representation for Cone beam CT truncated reconstruction

arXiv:2606.06039v1 Announce Type: new Abstract: Cone-beam computed tomography (CBCT) frequently suffers from data truncation, which introduces severe artifacts and limits the effective field of view (

Thanks, this was great!!!! @GaryMarcus https://www.youtube.com/watch?v=iFYF_e1GSGI

Gary Marcus shared positive feedback about a YouTube video, likely featuring discussion or content related to his work in cognitive science, AI, or related technical topics. The enthusiastic tone sugg

⚠️ The American public may be about to be fleeced. ⚠️ OpenAI, a deeply unethical company that was built on a series of lies, does not have a…

⚠️ The American public may be about to be fleeced. ⚠️ OpenAI, a deeply unethical company that was built on a series of lies, does not have a realistic road to profitability. And they reportedly want t

The creator of Linux just publicly called out the AI hype. Word for word. Linus Torvalds took the stage at Open Source Summit 2026 and said …

The creator of Linux just publicly called out the AI hype. Word for word. Linus Torvalds took the stage at Open Source Summit 2026 and said this: 'When I see people saying 99% of our code is written b

The NY State legislature passes a one-year moratorium on new large data centers, the first statewide ban of its kind if Governor Kathy Hochul signs it into law (Lauren Feiner/The Verge)

Lauren Feiner / The Verge: The NY State legislature passes a one-year moratorium on new large data centers, the first statewide ban of its kind if Governor Kathy Hochul signs it into law — It could b

safetytechmeme

Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning

arXiv:2601.21700v3 Announce Type: replace Abstract: Large Language Models (LLMs) increasingly support culturally sensitive decision making, yet often exhibit misalignment due to skewed pretraining dat

Towards a Data Flywheel for Embodied Intelligence in Logistics

arXiv:2606.05960v1 Announce Type: new Abstract: Embodied intelligence is moving from laboratory demonstrations toward industrial deployment, with the logistics industry serving as a key application sc

Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning

arXiv:2606.05675v1 Announce Type: cross Abstract: Continual learning (CL) seeks models that acquire new skills without erasing prior knowledge. In exemplar-free class-incremental learning (EFCIL), thi

Unpaired RGB-Thermal Gaussian-Splatting Using Visual Geometric Transformers

arXiv:2606.05491v1 Announce Type: new Abstract: Multi-modal novel view synthesis (NVS) combining RGB and thermal imagery enables precise 3D scene reconstruction with visual and thermal information. Ho

Unveiling the Unknown: Open Vocabulary Object Detection with Scene Graphs

arXiv:2606.05916v1 Announce Type: new Abstract: Open-vocabulary object detection seeks to identify novel object categories that were not part of the training data. Many knowledge distillation-based ap

Using street view images and visual LLMs to predict heritage values for governance support: Risks, ethics, and policy implications

arXiv:2601.06056v2 Announce Type: replace-cross Abstract: During 2025 and 2026, the Energy Performance of Buildings Directive is being implemented in the European Union member states, requiring all me

Value-and-Structure Alignment for Routing-Consistent Quantization of Mixture-of-Experts Models

arXiv:2606.05688v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) models scale foundation models efficiently by activating only a subset of experts for each token, but their large number of exp

ViCuR: Visual Cues as Recoverable Privilege for Multimodal On-Policy Distillation

arXiv:2606.05718v1 Announce Type: new Abstract: On-policy distillation (OPD) improves reasoning by training a student on trajectories sampled from its own policy under supervision from a teacher. In m

VOLD: Reasoning Transfer from LLMs to Vision-Language Models via On-Policy Distillation

arXiv:2510.23497v3 Announce Type: replace Abstract: Training vision-language models (VLMs) for complex reasoning remains a challenging task, i.a. due to the scarcity of high-quality image-text reasoni

VOLT: Vision and Language Trajectory Segmentation for Faster-than-Demonstration Policies

arXiv:2606.06323v1 Announce Type: new Abstract: Humans often take longer to demonstrate a task than a robot would need to execute it. Rather than learning to replicate the demonstration at the same pa

When AI Says It Feels

arXiv:2606.05734v1 Announce Type: cross Abstract: Large language models (LLMs) are generally constrained from expressing feelings through human-preference alignment in post-training processes. This po

When Evidence is Sparse: Weakly Supervised Early Failure Alerting in Dialogs and LLM-Agent Trajectories

arXiv:2606.05414v1 Announce Type: new Abstract: Early failure alerting requires deciding, while a dialog or agent trajectory is still unfolding, whether to flag it as likely to fail. This is challengi

worth 2 trillion, easily. maybe more!

Gary Marcus posted on X/Twitter expressing his assessment that something (likely an AI system, company, or technology) could be worth $2 trillion or more, suggesting significant potential value. Witho

WOW!!!! 👏 Great news for anyone who didn’t want to be fast-tracked into this madness. SpaceX now needs to stand on its own two feet.

WOW!!!! 👏 Great news for anyone who didn’t want to be fast-tracked into this madness. SpaceX now needs to stand on its own two feet. Wow, the S&P Dow Jones Indices has just officially announced that t

Wow…this is a tell people. There is no path to profitability. They need to socialize losses.

Wow…this is a tell people. There is no path to profitability. They need to socialize losses. Trump administration, OpenAI discussing possible government stake in the AI startup https://www.cnbc.com/20

3PoinTr: 3D Point Tracks for Learning Manipulation from Unconstrained Human Videos

arXiv:2603.08485v2 Announce Type: replace Abstract: Learning manipulation policies from human videos could greatly reduce the need for expensive robot demonstrations, but existing approaches typically

A brief history of claims about AI and employment 2016: Hinton said radiologists would soon be replaced; they weren’t. He was hyping his tec…

A brief history of claims about AI and employment 2016: Hinton said radiologists would soon be replaced; they weren’t. He was hyping his tech, not basing it on careful analysis of the industry. 2026:

A Goal-Set Characterization of Task Composition in the Boolean Task Algebra

arXiv:2606.04053v1 Announce Type: cross Abstract: The Boolean Task Algebra (BTA) provides a principled framework for zero-shot task composition in reinforcement learning by equipping goal-reaching tas

A team of about 3 from @ControlAI cold-emailed the UK Parliament about AI extinction risk. At the time they had no contacts, insider help, o…

A team of about 3 from @ControlAI cold-emailed the UK Parliament about AI extinction risk. At the time they had no contacts, insider help, or established organisation behind them. 16 months later: 125

safetyconnor-leahy--x

A Unified Framework for Locality in Scalable MARL

arXiv:2602.16966v2 Announce Type: replace-cross Abstract: Scalable methods for networked multi-agent reinforcement learning let each agent plan using only a small neighborhood of the agent graph. This

A Unified Geometric Space for Topological Alignment Between Transformer-Based Models and Human Brain Networks

arXiv:2510.24342v2 Announce Type: replace Abstract: Prior brain-AI alignment studies are typically constrained by specific inputs and tasks, limiting their ability to capture organizational properties

Achieving Rotation-Invariant Convolution via Non-Learnable Orientation Alignment Operators

arXiv:2404.11309v2 Announce Type: replace Abstract: Achieving rotational invariance in deep neural networks without data augmentation is a research hotspot. Intrinsic invariance enables features to ca

Adaptive Calibration for Fair and Performant Facial Recognition

arXiv:2606.04469v1 Announce Type: cross Abstract: We introduce Adaptive Calibration (AC), a novel calibration strategy for facial recognition that maps cosine similarity between normalized embeddings

Adaptive Information Control for Search-Augmented LLM Reasoning

arXiv:2602.01672v2 Announce Type: replace Abstract: Search-augmented reasoning agents interleave multi-step reasoning with external retrieval, but uncontrolled retrieval can introduce redundant eviden

AI enthusiasts are in a race against time, AI skeptics are in a race against entropy

AI enthusiasts are in a race against time, AI skeptics are in a race against entropy Charity Majors neatly captures the dynamic between AI enthusiasts and AI skeptics, both of whom are trying to build

safetysimon-willison

Anycast Performance in Context

arXiv:2606.04298v1 Announce Type: cross Abstract: IP anycast lets a service advertise one address from many physical sites, leaving BGP to map each client to a site. It is central to the DNS root serv

Be Fair! Can Machine Learning Engineering Agents Adhere to Fairness Constraints?

arXiv:2606.04971v1 Announce Type: new Abstract: Machine learning engineering (MLE) agents promise to automate end-to-end ML pipeline development from raw data and natural language instructions, potent

safetyarxiv-cs-lg

Beyond Static Priors: Dynamic Neural Guidance for Large-Scale Ant Colony Optimization

arXiv:2606.04039v1 Announce Type: cross Abstract: Neural-guided Ant Colony Optimization (ACO) suffers from a fundamental training-inference misalignment: policies are typically trained to generate sta

Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain

arXiv:2606.04613v1 Announce Type: new Abstract: Vision-Language Models (VLMs) struggle when applied to medical image-text data, yet the tools available to diagnose this failure remain limited. Existin

BiasGRPO: Stabilizing Bias Mitigation in High-Variance Reward Landscapes via Group-Relative Policy Optimization

arXiv:2606.04807v1 Announce Type: new Abstract: Mitigating social bias in Large Language Models (LLMs) presents a distinct alignment challenge: unlike verifiable tasks, bias lacks a single ground trut

Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments

arXiv:2209.15448v3 Announce Type: replace Abstract: As AI becomes more prevalent throughout society, effective methods of integrating humans and AI systems that leverage their respective strengths and

safetyarxiv-cs-lg

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions

arXiv:2509.05510v3 Announce Type: replace-cross Abstract: Continued progress in inertial confinement fusion (ICF) requires solving inverse problems relating experimental observations to simulation inp

safetyarxiv-cs-lg

Channel-Oriented Design for EEG-to-Music Reconstruction

arXiv:2606.04040v1 Announce Type: cross Abstract: Brain-computer interfaces aim to decode naturalistic stimuli from neural signals, yet most progress to date has focused on vision and language. In thi

Confidence Before Answering: A Paradigm Shift for Efficient LLM Uncertainty Estimation

arXiv:2603.05881v2 Announce Type: replace Abstract: Reliable deployment of large language models (LLMs) requires accurate uncertainty estimation. Existing methods are predominantly answer-first, produ

CoRe-MoE: Contrastive Reweighted Mixture of Experts for Multi-Terrain Humanoid Locomotion with Gait Adaptation

arXiv:2606.04718v1 Announce Type: cross Abstract: Humans primarily rely on walking and running to traverse complex terrains, without resorting to unnecessarily complex motion patterns. Similarly, huma