AI agents burn 91% of tokens on simple edits, study finds
New E3 framework cuts AI agent cost 85% by estimating task difficulty before acting, matching 100% success on a 121-edit benchmark with code released.
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New E3 framework cuts AI agent cost 85% by estimating task difficulty before acting, matching 100% success on a 121-edit benchmark with code released.
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.
OpenAI's July 15 proposal wants state AI laws to build toward a national safety framework, shaping how every American AI developer gets regulated.
When AI models grade other AI models without an answer key, they hand out passing marks too freely, new research from Potsdam and Ottawa finds.
A 26-billion-parameter diffusion model transcribes speech in eight parallel steps, training just 42 million parameters for 6.6% word error rate on