AI & Data

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  1. AI Ethics, Impossibility Theorems and Tradeoffs - Chris Stucchio | Crunch 2018

    CraftHub EventsLength: 43 minutesAI safety, AGI & impact

    In briefChris Stucchio presents the ethical principles behind algorithmic decision making and shows with examples from lending, criminology and education that they cannot all be satisfied at once. The talk frames AI fairness as a set of quantitative tradeoffs.

  2. Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

    Stanford University School of EngineeringLength: 58 minutesMachine learning & deep learning

    In briefThe first lecture of Stanford's CS231n course on convolutional neural networks for visual recognition. It surveys the history and key challenges of computer vision, from the Cambrian explosion and Hubel and Wiesel to ImageNet.

  3. Jonathan Diegelman - Modeling Spacecraft Separation Dynamics in Julia

    The Julia Programming LanguageLength: 16 minutesSpace exploration & spaceflight

    In briefA JuliaCon talk by a NASA Launch Services Program engineer on modeling spacecraft separation dynamics in Julia. He describes replacing a Simulink-based workflow for checking launch vehicle separation requirements with Julia and ModelingToolkit, with large speedups and much shorter code.

  4. OpenAI's GPT-4 Discussion with Red Teamer Nathan Labenz and Erik Torenberg

    Cognitive Revolution "How AI Changes Everything"Length: 1 hour 22 minutesLLMs & generative AI

    In briefA podcast episode in which GPT-4 red teamer Nathan Labenz describes using the model before release, finding it human-level but not human-like, and discussing its weaknesses and worrying capabilities. It closes with speculation about GPT-5.