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Llms

Claude on Claude

The Story of Anthropic’s Latest Controversies Regarding the Business of Its Prized Creation… As Told by the Thing Itself. Editor’s note: ...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

This OpenClaw paper shows why agent safety is an execution problem, not just a model problem

Paper: https://arxiv.org/abs/2604.04759 This OpenClaw paper is one of the clearest signals so far that agent risk is architectural, not j...

Reddit - Artificial Intelligence · 1 min ·
Llms

"Authoritarian Parents In Rationalist Clothes": a piece I wrote in December about alignment

Posted today in light of the Claude Mythos model card release. Originally I wrote this for r/ControlProblem but realized it was getting o...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.23539] PLDR-LLMs Reason At Self-Organized Criticality
Llms

[2603.23539] PLDR-LLMs Reason At Self-Organized Criticality

Abstract page for arXiv paper 2603.23539: PLDR-LLMs Reason At Self-Organized Criticality

arXiv - Machine Learning · 3 min ·
[2603.23534] Not All Pretraining are Created Equal: Threshold Tuning and Class Weighting for Imbalanced Polarization Tasks in Low-Resource Settings
Machine Learning

[2603.23534] Not All Pretraining are Created Equal: Threshold Tuning and Class Weighting for Imbalanced Polarization Tasks in Low-Resource Settings

Abstract page for arXiv paper 2603.23534: Not All Pretraining are Created Equal: Threshold Tuning and Class Weighting for Imbalanced Pola...

arXiv - Machine Learning · 3 min ·
[2603.23530] Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
Llms

[2603.23530] Did You Forget What I Asked? Prospective Memory Failures in Large Language Models

Abstract page for arXiv paper 2603.23530: Did You Forget What I Asked? Prospective Memory Failures in Large Language Models

arXiv - Machine Learning · 3 min ·
[2603.23514] DepthCharge: A Domain-Agnostic Framework for Measuring Depth-Dependent Knowledge in Large Language Models
Llms

[2603.23514] DepthCharge: A Domain-Agnostic Framework for Measuring Depth-Dependent Knowledge in Large Language Models

Abstract page for arXiv paper 2603.23514: DepthCharge: A Domain-Agnostic Framework for Measuring Depth-Dependent Knowledge in Large Langu...

arXiv - Machine Learning · 4 min ·
[2603.23507] Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes
Llms

[2603.23507] Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes

Abstract page for arXiv paper 2603.23507: Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes

arXiv - Machine Learning · 4 min ·
[2603.24594] Polynomial Speedup in Diffusion Models with the Multilevel Euler-Maruyama Method
Machine Learning

[2603.24594] Polynomial Speedup in Diffusion Models with the Multilevel Euler-Maruyama Method

Abstract page for arXiv paper 2603.24594: Polynomial Speedup in Diffusion Models with the Multilevel Euler-Maruyama Method

arXiv - Machine Learning · 4 min ·
[2603.24587] DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
Machine Learning

[2603.24587] DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving

Abstract page for arXiv paper 2603.24587: DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving

arXiv - Machine Learning · 3 min ·
[2603.24562] Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction
Llms

[2603.24562] Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction

Abstract page for arXiv paper 2603.24562: Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction

arXiv - Machine Learning · 4 min ·
[2603.24533] UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience
Llms

[2603.24533] UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience

Abstract page for arXiv paper 2603.24533: UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience

arXiv - Machine Learning · 4 min ·
[2603.24524] No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions
Machine Learning

[2603.24524] No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions

Abstract page for arXiv paper 2603.24524: No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertaint...

arXiv - Machine Learning · 4 min ·
[2603.24518] TuneShift-KD: Knowledge Distillation and Transfer for Fine-tuned Models
Llms

[2603.24518] TuneShift-KD: Knowledge Distillation and Transfer for Fine-tuned Models

Abstract page for arXiv paper 2603.24518: TuneShift-KD: Knowledge Distillation and Transfer for Fine-tuned Models

arXiv - Machine Learning · 4 min ·
[2603.24517] AVO: Agentic Variation Operators for Autonomous Evolutionary Search
Llms

[2603.24517] AVO: Agentic Variation Operators for Autonomous Evolutionary Search

Abstract page for arXiv paper 2603.24517: AVO: Agentic Variation Operators for Autonomous Evolutionary Search

arXiv - Machine Learning · 4 min ·
[2603.24503] Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling
Machine Learning

[2603.24503] Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling

Abstract page for arXiv paper 2603.24503: Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Networ...

arXiv - Machine Learning · 3 min ·
[2603.24500] Project and Generate: Divergence-Free Neural Operators for Incompressible Flows
Machine Learning

[2603.24500] Project and Generate: Divergence-Free Neural Operators for Incompressible Flows

Abstract page for arXiv paper 2603.24500: Project and Generate: Divergence-Free Neural Operators for Incompressible Flows

arXiv - Machine Learning · 3 min ·
[2603.24475] Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufacturing and Usage Variability
Machine Learning

[2603.24475] Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufacturing and Usage Variability

Abstract page for arXiv paper 2603.24475: Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufactur...

arXiv - Machine Learning · 3 min ·
[2603.24431] Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series via LSTM Functional Models
Machine Learning

[2603.24431] Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series via LSTM Functional Models

Abstract page for arXiv paper 2603.24431: Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series v...

arXiv - Machine Learning · 4 min ·
[2603.24428] Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching
Machine Learning

[2603.24428] Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching

Abstract page for arXiv paper 2603.24428: Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Ma...

arXiv - Machine Learning · 4 min ·
[2603.24384] On the Use of Bagging for Local Intrinsic Dimensionality Estimation
Machine Learning

[2603.24384] On the Use of Bagging for Local Intrinsic Dimensionality Estimation

Abstract page for arXiv paper 2603.24384: On the Use of Bagging for Local Intrinsic Dimensionality Estimation

arXiv - Machine Learning · 4 min ·
[2603.24382] MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization
Llms

[2603.24382] MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization

Abstract page for arXiv paper 2603.24382: MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization

arXiv - Machine Learning · 3 min ·
[2603.24324] Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
Llms

[2603.24324] Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning

Abstract page for arXiv paper 2603.24324: Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforce...

arXiv - AI · 4 min ·
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