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How Dangerous Is Anthropic’s New AI Model? Its Chief Science Officer Explains.
Machine Learning

How Dangerous Is Anthropic’s New AI Model? Its Chief Science Officer Explains.

Anthropic says Mythos is so dangerous that the company is slowing its release. We asked Jared Kaplan why.

AI Tools & Products · 3 min ·
Llms

Built an political benchmark for LLMs. KIMI K2 can't answer about Taiwan (Obviously). GPT-5.3 refuses 100% of questions when given an opt-out. [P]

I spent the few days building a benchmark that maps where frontier LLMs fall on a 2D political compass (economic left/right + social prog...

Reddit - Machine Learning · 1 min ·
UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·

All Content

[2603.28522] RAD-LAD: Rule and Language Grounded Autonomous Driving in Real-Time
Llms

[2603.28522] RAD-LAD: Rule and Language Grounded Autonomous Driving in Real-Time

Abstract page for arXiv paper 2603.28522: RAD-LAD: Rule and Language Grounded Autonomous Driving in Real-Time

arXiv - AI · 3 min ·
[2603.28460] $R_{dm}$: Re-conceptualizing Distribution Matching as a Reward for Diffusion Distillation
Machine Learning

[2603.28460] $R_{dm}$: Re-conceptualizing Distribution Matching as a Reward for Diffusion Distillation

Abstract page for arXiv paper 2603.28460: $R_{dm}$: Re-conceptualizing Distribution Matching as a Reward for Diffusion Distillation

arXiv - Machine Learning · 4 min ·
[2603.28394] From Simulation to Deep Learning: Survey on Network Performance Modeling Approaches
Machine Learning

[2603.28394] From Simulation to Deep Learning: Survey on Network Performance Modeling Approaches

Abstract page for arXiv paper 2603.28394: From Simulation to Deep Learning: Survey on Network Performance Modeling Approaches

arXiv - Machine Learning · 4 min ·
[2603.28387] The Scaffold Effect: How Prompt Framing Drives Apparent Multimodal Gains in Clinical VLM Evaluation
Llms

[2603.28387] The Scaffold Effect: How Prompt Framing Drives Apparent Multimodal Gains in Clinical VLM Evaluation

Abstract page for arXiv paper 2603.28387: The Scaffold Effect: How Prompt Framing Drives Apparent Multimodal Gains in Clinical VLM Evalua...

arXiv - Machine Learning · 4 min ·
[2603.28357] Optimized Weighted Voting System for Brain Tumor Classification Using MRI Images
Machine Learning

[2603.28357] Optimized Weighted Voting System for Brain Tumor Classification Using MRI Images

Abstract page for arXiv paper 2603.28357: Optimized Weighted Voting System for Brain Tumor Classification Using MRI Images

arXiv - Machine Learning · 3 min ·
[2603.28342] Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization
Machine Learning

[2603.28342] Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization

Abstract page for arXiv paper 2603.28342: Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization

arXiv - Machine Learning · 4 min ·
[2603.28324] LDDMM stochastic interpolants: an application to domain uncertainty quantification in hemodynamics
Machine Learning

[2603.28324] LDDMM stochastic interpolants: an application to domain uncertainty quantification in hemodynamics

Abstract page for arXiv paper 2603.28324: LDDMM stochastic interpolants: an application to domain uncertainty quantification in hemodynamics

arXiv - Machine Learning · 3 min ·
[2603.28315] Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification
Machine Learning

[2603.28315] Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification

Abstract page for arXiv paper 2603.28315: Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification

arXiv - Machine Learning · 3 min ·
[2603.28294] Learning from imperfect quantum data via unsupervised domain adaptation with classical shadows
Machine Learning

[2603.28294] Learning from imperfect quantum data via unsupervised domain adaptation with classical shadows

Abstract page for arXiv paper 2603.28294: Learning from imperfect quantum data via unsupervised domain adaptation with classical shadows

arXiv - Machine Learning · 3 min ·
[2603.28203] Differentiable Power-Flow Optimization
Machine Learning

[2603.28203] Differentiable Power-Flow Optimization

Abstract page for arXiv paper 2603.28203: Differentiable Power-Flow Optimization

arXiv - Machine Learning · 3 min ·
[2603.28114] Attention Frequency Modulation: Training-Free Spectral Modulation of Diffusion Cross-Attention
Machine Learning

[2603.28114] Attention Frequency Modulation: Training-Free Spectral Modulation of Diffusion Cross-Attention

Abstract page for arXiv paper 2603.28114: Attention Frequency Modulation: Training-Free Spectral Modulation of Diffusion Cross-Attention

arXiv - Machine Learning · 4 min ·
[2603.28081] Transformer-Based Prognostics: Enhancing Network Availability by Improved Monitoring of Optical Fiber Amplifiers
Machine Learning

[2603.28081] Transformer-Based Prognostics: Enhancing Network Availability by Improved Monitoring of Optical Fiber Amplifiers

Abstract page for arXiv paper 2603.28081: Transformer-Based Prognostics: Enhancing Network Availability by Improved Monitoring of Optical...

arXiv - Machine Learning · 3 min ·
[2603.28038] Beyond the Answer: Decoding the Behavior of LLMs as Scientific Reasoners
Llms

[2603.28038] Beyond the Answer: Decoding the Behavior of LLMs as Scientific Reasoners

Abstract page for arXiv paper 2603.28038: Beyond the Answer: Decoding the Behavior of LLMs as Scientific Reasoners

arXiv - Machine Learning · 3 min ·
[2603.28028] Efficient Domain Adaptation for Text Line Recognition via Decoupled Language Models
Llms

[2603.28028] Efficient Domain Adaptation for Text Line Recognition via Decoupled Language Models

Abstract page for arXiv paper 2603.28028: Efficient Domain Adaptation for Text Line Recognition via Decoupled Language Models

arXiv - Machine Learning · 3 min ·
[2603.28013] Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers
Llms

[2603.28013] Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers

Abstract page for arXiv paper 2603.28013: Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model ...

arXiv - AI · 4 min ·
[2603.27998] BiFormer3D: Grid-Free Time-Domain Reconstruction of Head-Related Impulse Responses with a Spatially Encoded Transformer
Machine Learning

[2603.27998] BiFormer3D: Grid-Free Time-Domain Reconstruction of Head-Related Impulse Responses with a Spatially Encoded Transformer

Abstract page for arXiv paper 2603.27998: BiFormer3D: Grid-Free Time-Domain Reconstruction of Head-Related Impulse Responses with a Spati...

arXiv - Machine Learning · 3 min ·
[2603.27986] FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation
Machine Learning

[2603.27986] FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation

Abstract page for arXiv paper 2603.27986: FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation

arXiv - Machine Learning · 4 min ·
[2603.27936] Deflation-PINNs: Learning Multiple Solutions for PDEs and Landau-de Gennes
Machine Learning

[2603.27936] Deflation-PINNs: Learning Multiple Solutions for PDEs and Landau-de Gennes

Abstract page for arXiv paper 2603.27936: Deflation-PINNs: Learning Multiple Solutions for PDEs and Landau-de Gennes

arXiv - Machine Learning · 3 min ·
[2603.27909] Data is All You Need: Markov Chain Car-Following (MC-CF) Model
Machine Learning

[2603.27909] Data is All You Need: Markov Chain Car-Following (MC-CF) Model

Abstract page for arXiv paper 2603.27909: Data is All You Need: Markov Chain Car-Following (MC-CF) Model

arXiv - Machine Learning · 4 min ·
[2603.27871] Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences
Machine Learning

[2603.27871] Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences

Abstract page for arXiv paper 2603.27871: Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-R...

arXiv - Machine Learning · 3 min ·
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