close icon
close icon

    Liens du 10 novembre 2023


    Computing Within Limits, Time and energy., What to learn

    Computing Within Limits

    The LIMITS workshop concerns the role of computing in human societies situated in a world of limits*. As an interdisciplinary group of researchers, practitioners, and scholars, we seek to reshape the computing research agenda, grounded by an awareness that contemporary computing research is intertwined with ecological limits in general, and climate- and climate justice-related limits in particular.

    • For example, limits of extractive logics, limits to a biosphere's ability to recover, limits to our knowledge, or limits to technological "solutions".

    Pas un article, une conf. Je vous la partage car dans les programmes des années précédentes se trouve un bon paquet de ressources, questions, tentatives, perspectives visant à changer notre vision et notre approche de l’informatique pour un développement et usage cohérent avec notre contexte écologique. Voici quelques titres à travers les années (chacun pointe vers un papier/article):

    Time and energy.

    Nonetheless, I still find myself longing for more time, and dreaming fondly of my life as it existed three or four years ago. It simply had so much space in it. Time that made it easy to fill so many different buckets in my life. Now I fill each bucket knowing that it means that another two will stay dry. The good news is that I imagine things will get much easier in a few years as the kiddo gets a bit older. Until then, the question that echoes in my head is, “Should I get better at living in this new world, or wait until the old world hopefully returns?”

    Worse yet, I know the answer. It’s time to get growing.

    What to learn

    If you watch an anime or a TV series "about" fighting, people often improve by increasing the number of techniques they know because that's an easy thing to depict but, in real life, getting better at techniques you already know is often more effective than having a portfolio of hundreds of "moves".

    […]

    I've personally found this to be true in a variety of disciplines. While it's really difficult to measure programmer effectiveness in anything resembling an objective manner, this isn't true of some things I've done, like competitive video games (a very long time ago at this point, back before there was "real" money in competitive gaming), the thing that took me from being a pretty decent player to a very good player was abandoning practicing things I wasn't particularly good at and focusing on increasing the edge I had over everybody else at the few things I was unusually good at.

    This can work for games and sports because you can get better maneuvering yourself into positions that take advantage of your strengths as well as avoiding situations that expose your weaknesses. I think this is actually more effective at work than it is in sports or gaming since, unlike in competitive endeavors, you don't have an opponent who will try to expose your weaknesses and force you into positions where your strengths are irrelevant. If I study queuing theory instead of compilers, a rival co-worker isn't going to stop me from working on projects where queuing theory knowledge is helpful and leave me facing a field full of projects that require compiler knowledge.

    One thing that's worth noting is that skills don't have to be things people would consider fields of study or discrete techniques.

    […]

    A lot of career advice I see is oriented towards career or success or growth. That kind of advice often tells people to have a long-term goal or strategy in mind. It will often have some argument that's along the lines of "a random walk will only move you sqrt(n) in some direction whereas a directed walk will move you n in some direction". I don't think that's wrong, but I think that, for many people, that advice implicitly underestimates the difficulty of finding an area that's suited to you, which I've basically done by trial and error.

    Un article sur l’apprentissage qui résonne bien avec l’évolution de carrière « en diagonale » dans un article que je vous avais partagé le 6 octobre. Ça va dans le sens d’un article qu’on m’a partagé récemment qui donne des justifications plus scientifiques à ces approches, et que j’enverrai certainement la semaine prochaine.