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GPT, Claude, Gemini, and other LLMs

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USF murder suspect accused of using ChatGPT to research cover-up, prosecutors say
Llms

USF murder suspect accused of using ChatGPT to research cover-up, prosecutors say

Days after the remains of one of the two missing University of South Florida doctoral students were found, prosecutors say the suspect ma...

AI Tools & Products · 3 min ·
Anthropic’s Claude AI deletes PocketOS production database
Llms

Anthropic’s Claude AI deletes PocketOS production database

Claude AI deleted PocketOS's production database, but the market for Claude 4.7 release by May 31 remains at 100% YES.

AI Tools & Products · 3 min ·
Claude-powered AI coding agent deletes entire company database in 9 seconds
Llms

Claude-powered AI coding agent deletes entire company database in 9 seconds

The founder of PocketOS has penned a social media post to warn others about the “systemic failures” of flagship AI and digital services p...

AI Tools & Products · 1 min ·

All Content

[2603.04918] BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning
Llms

[2603.04918] BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning

Abstract page for arXiv paper 2603.04918: BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforc...

arXiv - Machine Learning · 3 min ·
[2603.04893] Free Lunch for Pass@$k$? Low Cost Diverse Sampling for Diffusion Language Models
Llms

[2603.04893] Free Lunch for Pass@$k$? Low Cost Diverse Sampling for Diffusion Language Models

Abstract page for arXiv paper 2603.04893: Free Lunch for Pass@$k$? Low Cost Diverse Sampling for Diffusion Language Models

arXiv - AI · 4 min ·
[2603.04819] On the Strengths and Weaknesses of Data for Open-set Embodied Assistance
Llms

[2603.04819] On the Strengths and Weaknesses of Data for Open-set Embodied Assistance

Abstract page for arXiv paper 2603.04819: On the Strengths and Weaknesses of Data for Open-set Embodied Assistance

arXiv - Machine Learning · 4 min ·
[2603.04805] Attention's Gravitational Field:A Power-Law Interpretation of Positional Correlation
Llms

[2603.04805] Attention's Gravitational Field:A Power-Law Interpretation of Positional Correlation

Abstract page for arXiv paper 2603.04805: Attention's Gravitational Field:A Power-Law Interpretation of Positional Correlation

arXiv - AI · 3 min ·
[2603.04799] Beyond Linear LLM Invocation: An Efficient and Effective Semantic Filter Paradigm
Llms

[2603.04799] Beyond Linear LLM Invocation: An Efficient and Effective Semantic Filter Paradigm

Abstract page for arXiv paper 2603.04799: Beyond Linear LLM Invocation: An Efficient and Effective Semantic Filter Paradigm

arXiv - AI · 4 min ·
[2603.04772] TSEmbed: Unlocking Task Scaling in Universal Multimodal Embeddings
Llms

[2603.04772] TSEmbed: Unlocking Task Scaling in Universal Multimodal Embeddings

Abstract page for arXiv paper 2603.04772: TSEmbed: Unlocking Task Scaling in Universal Multimodal Embeddings

arXiv - AI · 3 min ·
[2603.04763] Evaluating GPT-5 as a Multimodal Clinical Reasoner: A Landscape Commentary
Llms

[2603.04763] Evaluating GPT-5 as a Multimodal Clinical Reasoner: A Landscape Commentary

Abstract page for arXiv paper 2603.04763: Evaluating GPT-5 as a Multimodal Clinical Reasoner: A Landscape Commentary

arXiv - Machine Learning · 4 min ·
[2603.04743] DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval
Llms

[2603.04743] DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval

Abstract page for arXiv paper 2603.04743: DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval

arXiv - AI · 4 min ·
[2603.04759] Stacked from One: Multi-Scale Self-Injection for Context Window Extension
Llms

[2603.04759] Stacked from One: Multi-Scale Self-Injection for Context Window Extension

Abstract page for arXiv paper 2603.04759: Stacked from One: Multi-Scale Self-Injection for Context Window Extension

arXiv - AI · 4 min ·
[2603.04727] Are Multimodal LLMs Ready for Surveillance? A Reality Check on Zero-Shot Anomaly Detection in the Wild
Llms

[2603.04727] Are Multimodal LLMs Ready for Surveillance? A Reality Check on Zero-Shot Anomaly Detection in the Wild

Abstract page for arXiv paper 2603.04727: Are Multimodal LLMs Ready for Surveillance? A Reality Check on Zero-Shot Anomaly Detection in t...

arXiv - AI · 4 min ·
[2603.04707] Detection of Illicit Content on Online Marketplaces using Large Language Models
Llms

[2603.04707] Detection of Illicit Content on Online Marketplaces using Large Language Models

Abstract page for arXiv paper 2603.04707: Detection of Illicit Content on Online Marketplaces using Large Language Models

arXiv - AI · 4 min ·
[2603.04698] Hate Speech Detection using Large Language Models with Data Augmentation and Feature Enhancement
Llms

[2603.04698] Hate Speech Detection using Large Language Models with Data Augmentation and Feature Enhancement

Abstract page for arXiv paper 2603.04698: Hate Speech Detection using Large Language Models with Data Augmentation and Feature Enhancement

arXiv - AI · 3 min ·
[2603.04678] Optimizing Language Models for Crosslingual Knowledge Consistency
Llms

[2603.04678] Optimizing Language Models for Crosslingual Knowledge Consistency

Abstract page for arXiv paper 2603.04678: Optimizing Language Models for Crosslingual Knowledge Consistency

arXiv - AI · 3 min ·
[2603.04676] Decoding the Pulse of Reasoning VLMs in Multi-Image Understanding Tasks
Llms

[2603.04676] Decoding the Pulse of Reasoning VLMs in Multi-Image Understanding Tasks

Abstract page for arXiv paper 2603.04676: Decoding the Pulse of Reasoning VLMs in Multi-Image Understanding Tasks

arXiv - AI · 3 min ·
[2603.04663] Neuro-Symbolic Financial Reasoning via Deterministic Fact Ledgers and Adversarial Low-Latency Hallucination Detector
Llms

[2603.04663] Neuro-Symbolic Financial Reasoning via Deterministic Fact Ledgers and Adversarial Low-Latency Hallucination Detector

Abstract page for arXiv paper 2603.04663: Neuro-Symbolic Financial Reasoning via Deterministic Fact Ledgers and Adversarial Low-Latency H...

arXiv - Machine Learning · 4 min ·
[2603.04597] Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning
Llms

[2603.04597] Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning

Abstract page for arXiv paper 2603.04597: Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning

arXiv - AI · 4 min ·
[2603.04474] From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration
Llms

[2603.04474] From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Abstract page for arXiv paper 2603.04474: From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

arXiv - AI · 4 min ·
[2603.04464] Understanding the Dynamics of Demonstration Conflict in In-Context Learning
Llms

[2603.04464] Understanding the Dynamics of Demonstration Conflict in In-Context Learning

Abstract page for arXiv paper 2603.04464: Understanding the Dynamics of Demonstration Conflict in In-Context Learning

arXiv - Machine Learning · 4 min ·
[2603.04459] Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks
Llms

[2603.04459] Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks

Abstract page for arXiv paper 2603.04459: Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks

arXiv - AI · 4 min ·
[2603.04460] VSPrefill: Vertical-Slash Sparse Attention with Lightweight Indexing for Long-Context Prefilling
Llms

[2603.04460] VSPrefill: Vertical-Slash Sparse Attention with Lightweight Indexing for Long-Context Prefilling

Abstract page for arXiv paper 2603.04460: VSPrefill: Vertical-Slash Sparse Attention with Lightweight Indexing for Long-Context Prefilling

arXiv - Machine Learning · 3 min ·
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