Spinnerproof

61: Fluffy Ones That Don't Hurt Each Other


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  • Front matter
    • We already recorded this.
    • Battle in the ‘Burgh
      • The whole tournament on YouTube
        • Plus whiteboards and shenanigens
        • How to watch a live event
        • ‘Fixing’ the Battlebots meta
          • Spinners bad
          • Weight bonuses for non-spinners?
            • Are weight bonuses effective?
            • How do you decide how much is enough?
              • Walker/shuffler bonuses
                • Shuffler bonus for UK Beetles dropped from 50% to 33% in June 2019
                  • Battlebots used to acknowledge that unsticks happen
                  • SOW went 7-0 as a Heavyweight shuffler, and 2-4 as a Superheavyweight
                  • Removing Battlebots’ extra barriers to non-spinner success
                    • Arena hazards
                      • Less intrusive pit designs:
                        • Robot Ruckus’ walled-off corner pit
                        • The ‘side pocket’
                        • Judging criteria
                          • Robogames judging (ctrl+f ‘flip over’ to find relevant section)
                            • Say what you want about Robogames, this is a pretty good set of judging rules
                            • A general discussion about AI and Machine Learning
                              • A conversation driven by the sordid tale of Apple’s ‘sexist’ credit card
                              • Defining AI, Machine Learning, and AGI (for the purposes of this discussion)
                                • AI: A decision-making system designed by a human. Can be debugged.
                                • Machine Learning: A system which produces a decision-making system. Built and then trained, can’t really be debugged.
                                • Artificial General Intelligence (AGI): Sci-fi version of AI which is, or appears to be, a human-level intelligence. Don’t worry about it. Yet.
                                • Current uses of AI/ML
                                  • Image/video processing
                                    • Google’s image compression
                                    • YouTube’s video compression
                                    • Social media
                                      • How it all works
                                      • The wonderful, wholesome, entirely benevolent Netflix algorithm
                                      • Sam’s experiences with Reddit
                                      • Promoting controversy/outrage
                                      • Bad technology vs technology being used by bad people
                                        • Setting ‘goals’ for ML systems
                                        • Finance (and other stuff)
                                          • How bias can develop within an ML system
                                            • The Apple case
                                            • How bias is picked up
                                            • Why bias might not be detected
                                            • Medicine
                                              • Cancer detection
                                              • What happens when the machine causes a human death?
                                                • The impact of one life lost vs x lives saved
                                                • Potential bad implementations of the technology
                                                • Crime ‘prevention’
                                                  • Predicting reoffending
                                                  • Opportunities for bias presented by data which would likely be used for training
                                                  • How to be better
                                                  • ...more
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                                                    SpinnerproofBy Sam Hutchins and Ryan Bratley

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