Frontier AI models are finishing Alan Turing’s World War II codebreaking work.
Author: script
A Harness for Synthesizing Diverse Naturalistic Full-Duplex Conversations
arXiv:2609.28806v1 Announce Type: cross Abstract: Full-duplex dialogue systems, which listen while speaking, must distinguish a completed turn from a…
Some Supabase customers are publicly exposing reams of people’s data to the web
The findings highlight how AI-generated and vibe-coded apps can spill and expose users’ data when not configured or secured properly.
DrGait: Biomechanically Grounded Visual Reasoning for Interpretable Clinical Gait Analysis
arXiv:2609.28796v1 Announce Type: cross Abstract: Current automated gait analysis for clinical applications relies on uninterpretable black-box…
Policy Complexity, Reaction Time, and Bounded Rationality in Reinforcement Learning
arXiv:2609.28737v1 Announce Type: cross Abstract: Biological agents do not learn under conditions of unlimited computation. For humans, learning and…
An Explainable DistilBERT-BiLSTM-Attention Framework for Binary and Multi-Class Hate Speech Detection
arXiv:2609.28703v1 Announce Type: cross Abstract: Hate speech on social media poses serious risks to social harmony, mental well-being, and public safety,…
Technical Manual for Toolkit for Confidence-Corpus Consistency via Fine-Tuning on a Fabricated Corpus
arXiv:2609.28747v1 Announce Type: cross Abstract: A language model’s confidence in an answer is often read as a proxy for how well it knows the…
Temporal Learning for End-Effector Position Estimation under Aerodynamic Disturbances in Aerial Continuum Manipulation
arXiv:2609.28716v1 Announce Type: cross Abstract: This paper investigates temporal neural networks for \mbox{end-effector} position \mbox{estimation} of…
Contrastive-LM Releases CLM-8B: An Open System One Model That Scores Agent Actions Up to 9× Faster Than Jev
Contrastive-LM has released CLM-8B, an open System One model that scores candidate actions against a state instead of generating text. It adds 2 small…
Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies
arXiv:2609.28670v1 Announce Type: cross Abstract: Graph-based world models have recently emerged as a means of learning transitions over relational state…