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Cake day: July 9th, 2023

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  • Habitually using your own machine for non-work tasks often lets you keep certain records of the research process which begat the work, even while the client/employer owns the work itself through SLA/NDA/AOI. This typically includes records contributing to general “personal expertise,” such as query history, bookmarks, generalized notes, and other non-proprietary information.

    It also lends to an overall impression of professional sprezzatura when the client can only see a history of master strokes, without the nitty-gritty details of your autodidactic effort.






  • Yourself. Time and resources you invest in yourself usually grant the highest returns in the long run.

    Examples:

    1. When job hunting, prefer opportunities that give you more valuable experience when possible.
    2. While planning your schedule, give highest priority to activities that contribute to your physical and mental health.
    3. At the grocery store, choose fresh ingredients over the cheaper and easier premade options.
    4. When budgeting finances, pay yourself first by setting aside what you can for your future. If not yet possible, see 5.
    5. Invest in your continued education, which can include traditional credentialing such as degrees or certifications, but also online and night classes, or even self-guided study.
    6. Choose relationships and experiences over things. While things can temporarily improve lifestyle, relationships and experiences permanently expand the life you have lived.









  • Theoretically, I would say yes it’s possible, insofar as we could break down most subtasks of the development process into training parameters. But we are a long way from that currently.

    ETA: I suspect LLM’s best use-case in this hypothetical would not be in architecting or implementation, but rather limited to tasks with human interfaces (requirements gathering, project planning and logistics, test scaffolding, feedback collection/distribution, etc).

    If the unironic goal is to develop things without any engineering oversight (mistake) then there’s no point to using programming languages at all. The machine might as well just output assembly or bin code.

    What’s more likely in the short term are software LLMs generating partial solutions that human engineers then are asked to “finish” (fix) and maintain. The effort and hours required to do so will, at a guess, balloon terribly and will often be at best proportional to the resources saved by the use of the automatic spaghetti generator.

    I eagerly await these post mortems.



  • IME no one is immune to gym odors. There are still many fats and proteins secreted by non-apocrine glands that are digestible by bacteria, so to eliminate body odor entirely we would probably need to evolve strong antimicrobial secretions or something.

    Sweat rinses much of this bacteria-food off of us, but since we started wearing clothes it just transports the bulk of it to what we’re wearing (now stinky gym clothes).

    That’s why showering before a workout is so effective for controlling gym odors: most of the bacteria and its food ends up in the drain rather than your clothes. Showering after is then mostly to rinse off salt.

    Anyway I imagine the times you’ve smelled people after the gym were simply the times they skipped that pre-workout shower.


  • Workflow-wise, airdropping larger files can be finicky and slow, especially if students are involved in the process or if the WiFi network is slow.

    Alternatively, instructors could use the standard USB sync feature to move sessions on or off the devices to any computer running iTunes. This might be more reliable and could give instructors a greater degree of creative flexibility re: what is backed up vs what students have direct access to.

    Edit: my bad, didn’t check post date.