Category: Maths

  • Antifragile AI Architectures

    Antifragile AI Architectures

    AI is full of contradictions: capable but unreliable, local improvements create externalities, generalist models are evaluated against specific criteria, and so on. Antifragility is a framework that deals in contradictions too, and seems an appropriate lens through which to explore AI systems architecture, as I had used it in an earlier era to explore hand-crafted…

  • trippler multi-destination

    trippler multi-destination

    It’s time for my EV trip planning app trippler to cater to multiple destinations, beyond the beaten track of simple A-to-B trips. This is another feature I decided I needed when planning and driving The Cross to The Cape. Multiple changes I’ve wanted multiple destinations for some time, but recent refactoring of the UI and…

  • trippler contingencies

    trippler contingencies

    Planning a dawn-to-dusk adventure from snow to surf in an electric vehicle meant not just planning for resilience, to allow for changes to the plan, but also planning for contingencies, to know in advance exactly how to respond to changes. Carnival of carving We lay our scene on the descent from Mount Hotham to Cape…

  • trippler at PyConAU

    trippler at PyConAU

    I was thrilled to be back for my second PyCon AU – with a wonderfully diverse and inclusive group of technologists – presenting on trippler in a talk titled An EV Trip Planner for Australia. I got a great feedback, including a suggestion to incorporate the many very Australian BIG things we might encounter on…

  • An evergreen question: what is an MVP?

    An evergreen question: what is an MVP?

    I was asked this the other day. My answer was: it depends on the context; it helps to have an example. And the contextual element is probably why this remains an evergreen question. While I have a fresh example in mind I thought I’d quickly plant a stake in the ground for reference. First, it…

  • trippler development notes

    trippler development notes

    This is the behind-the-scenes companion post to a resilient charging planner, sharing more on the development process and how the app works, with links back to earlier work. Design philosophy I wanted to focus on the core problem of interactively exploring charging options under varying trip requirements. I wanted a tool that I would use…

  • A resilient charging planner

    A resilient charging planner

    Check out the prototype of trippler, an interactive charging planner for resilient EV road trips. Based on my own EV road trip experience, trippler is as much about easily understanding charging options and contingencies, to reduce charger anxiety, as it is about coming up with a single best plan. If you’re looking for the latest…

  • Data complications

    Data complications

    Solving EV charger anxiety used maths for better road trips, but skipped over using real data. Let’s fix that, or at least try to… The easy bits To get from A to B in an EV, I used Open Route Service to find a base route to a destination and and Open Charge Map to…

  • Solving EV charger anxiety

    Solving EV charger anxiety

    Many EV adventures are accessible using the charging network in Victoria, but faulty chargers still have the potential to induce charger anxiety on road trips. Planning apps–EV drivers’ constant companions–may not fully solve this when the reported status of chargers is unreliable and faults are prevalent. As a driver, I want resilient plans that already…

  • EV snow’d tripping

    EV snow’d tripping

    Adventures with EVs often involve big mountain climbs, which consume additional energy, impacting range. I recently had the opportunity to drive climbs from Bright to Omeo and back via Mt Hotham, in Gunaikurnai and Taungurung country, and get a sense for how EVs handle hills. I collected efficiency data for each leg of a road…