Only 7.4% of Fortune 500 have an llms.txt file, study finds - PPC Land
Only 7.4% of Fortune 500 have an llms.txt file, study finds PPC Land
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Sycophantic AI chatbots can break even ideal rational thinkers, researchers formally prove
A new study by researchers from MIT and the University of Washington shows that even perfectly rational users can be drawn into dangerous delusional spirals by flattering AI chatbots. Fact-checking bots and educated users don't fully solve the problem. The article Sycophantic AI chatbots can break even ideal rational thinkers, researchers formally prove appeared first on The Decoder .
Minimal Information Control Invariance via Vector Quantization
arXiv:2604.03132v1 Announce Type: cross Abstract: Safety-critical autonomous systems must satisfy hard state constraints under tight computational and sensing budgets, yet learning-based controllers are often far more complex than safe operation requires. To formalize this gap, we study how many distinct control signals are needed to render a compact set forward invariant under sampled-data control, connecting the question to the information-theoretic notion of invariance entropy. We propose a vector-quantized autoencoder that jointly learns a state-space partition and a finite control codebook, and develop an iterative forward certification algorithm that uses Lipschitz-based reachable-set enclosures and sum-of-squares programming. On a 12-dimensional nonlinear quadrotor model, the learne
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Failure Mechanisms and Risk Estimation for Legged Robot Locomotion on Granular Slopes
arXiv:2603.06928v2 Announce Type: replace Abstract: Locomotion on granular slopes such as sand dunes remains a fundamental challenge for legged robots due to reduced shear strength and gravity-induced anisotropic yielding of granular media. Using a hexapedal robot on a tiltable granular bed, we systematically measure locomotion speed together with slope-dependent normal and shear granular resistive forces. While normal penetration resistance remains nearly unchanged with inclination, shear resistance decreases substantially as slope angle increases. Guided by these measurements, we develop a simple robot-terrain interaction model that predicts anchoring timing, step length, and resulting robot speed, as functions of terrain strength and slope angle. The model reveals that slope-induced per
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