The AI knowledge 99.9% of people never discover
A new arXiv framework shows aggressive network path randomisation drops attack success to 4-20% and lifts throughput 30.9% for enterprise defenders.
A new arXiv preprint pairs Wiener-Hopf linear prediction with a lightweight CNN to detect synthetic speech and explain why it was flagged.
A new arXiv preprint found every agent tested invented non-existent skill names, creating a supply-chain attack path through open skill registries.
A new tool shows robot swarms implicitly learn environmental geometry from simple rewards, raising questions about control of emergent collective
A non-peer-reviewed arXiv preprint proposes everyday AI agent prompting loops quietly strengthen impatience and self-criticism through neuroplasticity.
An arXiv preprint shows spectral scores stay frozen while retrieval value collapses from +33% to -35%, challenging how teams decide on context.
First meta-evaluation of LLM-generated rubrics for paper reproduction finds AI graders are overly generous and too detailed, but augmentation helps.
EnCF, a new ensemble controlled-flow filter on arXiv, targets non-Gaussian and multimodal data assimilation where Kalman-type filters fall short.
OpenAI's automated red teaming system GPT-Red uses self-play to find model weaknesses like prompt injection gaps affecting every AI user.
