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Nov 14Sat
  1. Hacker News AI22

    Real: Reported Engagement with AI Level Framework

    REAL is a self-reported disclosure framework for AI use in projects, products, media and education, spanning levels from no intentional AI usage in production through AI generation of building blocks, major components, or the large part or whole work. It covers all AI, not just generative AI, including automatic transcription, automated green screen effects, and non-generative traditional machine learning models. Creators determine a level via the REAL Rating Questionnaire, disclose it on publication with the associated graphic, and gather community feedback.

Nov 4Wed
  1. Hacker News AI12

    Ask HN: AI Side/personal projects to improve hireability?

    A Hacker News user asks for ideas for AI personal or side projects that could improve hiring chances, get more interviews and perform better in them, considering both infrastructure work like serving and higher-level application and agent development. They say part of the struggle is coming up with something meaningful that isn't just connecting open source components together, and note that personal projects tend not to help much after some years of experience but that they need to change their job search approach.

Sep 28Mon
  1. Import AI58

    Import AI 474: Platonic mindspace; TPUs in space; Zhipu starts an outer RSI loop

    This Import AI issue covers Michael Levin's paper proposing that minds are non-physical patterns from a Platonic space that embed themselves in bodies and machines, a Stanford/Physical Intelligence piece arguing robotics needs a universal post-training recipe like LLMs had, Google's Project Suncatcher preparing to send radiation-tested TPUs to space on a SpaceX rideshare mission, Zhipu AI using its GLM-5.3-powered Infra Agent to help optimize GLM-5.3-Flash to production readiness in under two weeks with tripled throughput, and Periodic Labs' Periodic Neon model trained with RL on physical lab data. It also notes the Old Models Foundation site for running historical image models and includes a short tech tale.