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- 1Robotics educator teaches probabilistic localization with interactive workbook▼Today in # robotics , I am teaching the basics of probabilistic # localization In particular, we are covering the discre
A robotics instructor is teaching the basics of probabilistic localization, covering discrete Bayesian filters and Kalman filters as methods for managing a robot's belief about its position. To support the lesson, they built a small interactive workbook, inviting anyone curious about robotics to experiment with the filter methods hands-on.
- 2Infosec community debates training spam filters on malicious AI bots●Do you think it would work ? Like Llamassassin ? # AIsafety # infosec sa-learn --spam /path/to/llamabot_samples/ (sa-lea
Security researchers are discussing whether SpamAssassin's Bayesian learning tool, sa-learn, could be retrained to flag spam from malicious AI chatbots, with one suggesting the tongue-in-cheek name 'Llamassassin' for such an approach. The idea blends AI safety concerns with classic anti-spam techniques, prompting debate about whether traditional filtering methods can cope with AI-generated abuse.