23 attack paths target AI agent memory, OS defenses miss some
A new arXiv preprint maps 43 operations that corrupt self-hosted AI agents via legitimate OS calls, finding a residual surface no defense can distinguish.
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A new arXiv preprint maps 43 operations that corrupt self-hosted AI agents via legitimate OS calls, finding a residual surface no defense can distinguish.
LaCache caches unchanged tokens during diffusion LLM denoising, cutting inference 1.3X standalone and up to 40X stacked with other acceleration methods.
A July 2026 arXiv paper proposes that human raters' emotional states leak into preference labels used to train AI, with a five-prediction audit plan.
New arXiv research finds AI models recover users' intended tasks just 22-32% of the time when instructions are ambiguous, versus 48% for humans.
New arXiv preprint frames systemic AI harms as externalities and collective action problems, naming market concentration and algorithmic monocultures as
AlphaFold2's 93 million parameters encode conformational landscapes as a byproduct of static structure prediction, with drug design implications.
A new arXiv framework uses an LLM-based simulator to predict code outcomes, cutting agent training 14x and search-based inference 3-6x.
AI trust gap: new arXiv preprint argues firms can't prove safety claims, leaving buyers and regulators unable to distinguish safe systems from imitations.
A new arXiv survey argues logic plus modern optimization makes rule-based AI practical, offering explainable systems where neural networks fall short.
A July 2026 preprint proposes harmonizing the capability thresholds frontier AI labs publish, which differ so much that no one can verify them.
An arXiv preprint describes Gasp, an L2 rollup DEX using EigenLayer restaking for gas-free cross-chain swaps without traditional bridges.
Prompt syntax changes whether open-source LLMs generate secure or vulnerable code, a new preprint finds, with direct impact on self-hosting teams.