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Machine Learning

Why would Anthropic keep a cyber model like Project Glasswing invite-only?

Anthropic’s Project Glasswing caught my attention less as a cybersecurity headline than as a signal about how frontier AI may be commerci...

Reddit - Artificial Intelligence · 1 min ·
Anthropic Teams Up With Its Rivals to Keep AI From Hacking Everything
Llms

Anthropic Teams Up With Its Rivals to Keep AI From Hacking Everything

The AI lab's Project Glasswing will bring together Apple, Google, and more than 45 other organizations. They'll use the new Claude Mythos...

Wired - AI · 7 min ·
Anthropic limits Mythos AI rollout over fears hackers could use model for cyberattacks
Machine Learning

Anthropic limits Mythos AI rollout over fears hackers could use model for cyberattacks

AI Tools & Products · 5 min ·

All Content

[2603.25473] Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure
Machine Learning

[2603.25473] Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure

Abstract page for arXiv paper 2603.25473: Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure

arXiv - Machine Learning · 3 min ·
[2603.24801] Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis
Machine Learning

[2603.24801] Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis

Abstract page for arXiv paper 2603.24801: Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driv...

arXiv - Machine Learning · 4 min ·
[2603.24775] AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A
Machine Learning

[2603.24775] AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A

Abstract page for arXiv paper 2603.24775: AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A

arXiv - AI · 4 min ·
[2603.25469] Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models
Machine Learning

[2603.25469] Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models

Abstract page for arXiv paper 2603.25469: Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models

arXiv - Machine Learning · 3 min ·
[2603.24772] Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
Llms

[2603.24772] Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset

Abstract page for arXiv paper 2603.24772: Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Val...

arXiv - Machine Learning · 4 min ·
[2603.25464] Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning
Machine Learning

[2603.25464] Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning

Abstract page for arXiv paper 2603.25464: Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning

arXiv - AI · 4 min ·
[2603.25385] GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs
Llms

[2603.25385] GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs

Abstract page for arXiv paper 2603.25385: GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs

arXiv - AI · 4 min ·
[2603.25373] Hessian-informed machine learning interatomic potential towards bridging theory and experiments
Machine Learning

[2603.25373] Hessian-informed machine learning interatomic potential towards bridging theory and experiments

Abstract page for arXiv paper 2603.25373: Hessian-informed machine learning interatomic potential towards bridging theory and experiments

arXiv - Machine Learning · 4 min ·
[2603.25342] From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents
Machine Learning

[2603.25342] From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents

Abstract page for arXiv paper 2603.25342: From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents

arXiv - Machine Learning · 4 min ·
[2603.25325] How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
Llms

[2603.25325] How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models

Abstract page for arXiv paper 2603.25325: How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models

arXiv - AI · 4 min ·
[2603.25241] Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem
Machine Learning

[2603.25241] Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem

Abstract page for arXiv paper 2603.25241: Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on t...

arXiv - Machine Learning · 3 min ·
[2603.25221] Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise
Machine Learning

[2603.25221] Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise

Abstract page for arXiv paper 2603.25221: Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise

arXiv - Machine Learning · 4 min ·
[2603.24724] Is Geometry Enough? An Evaluation of Landmark-Based Gaze Estimation
Machine Learning

[2603.24724] Is Geometry Enough? An Evaluation of Landmark-Based Gaze Estimation

Abstract page for arXiv paper 2603.24724: Is Geometry Enough? An Evaluation of Landmark-Based Gaze Estimation

arXiv - AI · 4 min ·
[2603.24721] Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models
Llms

[2603.24721] Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models

Abstract page for arXiv paper 2603.24721: Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models

arXiv - Machine Learning · 4 min ·
[2603.25204] A CDF-First Framework for Free-Form Density Estimation
Machine Learning

[2603.25204] A CDF-First Framework for Free-Form Density Estimation

Abstract page for arXiv paper 2603.25204: A CDF-First Framework for Free-Form Density Estimation

arXiv - Machine Learning · 3 min ·
[2603.24692] Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
Machine Learning

[2603.24692] Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses

Abstract page for arXiv paper 2603.24692: Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses

arXiv - AI · 4 min ·
[2603.25186] Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation
Llms

[2603.25186] Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation

Abstract page for arXiv paper 2603.25186: Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserv...

arXiv - Machine Learning · 4 min ·
[2603.24651] When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews
Llms

[2603.24651] When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews

Abstract page for arXiv paper 2603.24651: When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews

arXiv - AI · 3 min ·
[2603.25157] Vision Hopfield Memory Networks
Machine Learning

[2603.25157] Vision Hopfield Memory Networks

Abstract page for arXiv paper 2603.25157: Vision Hopfield Memory Networks

arXiv - AI · 4 min ·
[2603.25184] Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model
Llms

[2603.25184] Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model

Abstract page for arXiv paper 2603.25184: Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reaso...

arXiv - AI · 4 min ·
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