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Joined 2 years ago
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Cake day: July 26th, 2023

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  • My favourite AI code test is code to point a heliostat mirror at (lattitude, longitude) at a target at (latitude, longitude, elevation)

    After a few iterations to get the basics in place, “also create the function to select the mirror angle”

    A basic fact that isn’t often described is that to reflect a ray you aim the mirror halfway between the source and the target. AI Congress up with the strangest non-working ways of aiming the mirror

    Working with AI feels a lot like working with a newbie








  • I asked gpt for code to aim a heliostat

    It needed a module to get the sun’s position, it used sun::alt:: azimuth which doesn’t exist rather than Astro::Coord::ECI::Sun

    It needed a module to calculate mirror angle between the Sun’s altitude and azimuth and the target altitude and azimuth. It left that commented out rather than selecting the altitude halfway between Sun and target and azimuth between Sun and azimuth

    It turns out there’s precious little on the internet on how to aim a mirror, partly because it’s not popular, partly because it’s dead simple



  • On the reasonable side of the balance sheet, Australia is moving so fast installing big batteries that CATL has named one of their products after the Australian company they’re supplying batteries to

    Also we just had a study published and publicised for efficient pumped hydro locations near each population centre (though one state missed it and approved development of a pair of pumped hydro reservoirs in a location the study ranked poorly, leading to further advertising of the study and how its chosen site near the approved one would have been a tenth the cost)

    Rooftop solar is so popular that grid demand in one of our two large cities was at an all time low recently

    All in all it’s pretty promising here

    Though just like America, a change in the party in charge can wreck a lot of the progress


  • They worked well for us, we were updating a big system or adding functionality to it and a lot of the features were similar enough that we could reliably break the work down to sub-single sprint chunks and assign consistent story points to them

    Though I have only been in one team that lasted more than 3 sprints relatively intact, and it’s only that team that got good at story pointing work


  • I try really hard when I’m in a scrum master position (my position is pretty chaotic, 20k person organisation, scaled agile, “we need your x skills this program increment, please would you?”) to hide my team’s individual performance from management. Mostly because your can’t compare a system analysts numbers to a mainframe programmer to a mid-range programmer, but also if someone’s not pulling their weight I want to solve the problem within the team where we can approach it as equals before resorting to management “performance review” systems.


  • The idea with story points is you assign them consistently, so the team’s velocity is meaningful.

    One team might deliver 30 points in a sprint while another delivers 25 and they deliver the same amount of work

    Of course management want to be able to use story points for tracking, they want to compare teams using them, so you end up with formulas for how many points to assign

    Of course if they score you on points, they get more points, not more work and story points become useless