113 shaares
Réflexion sur l’usage des LLMs dans la recherche en astrophysique, mais qui sont généralisables. On y lit :
“But the moment you use the machine to bypass the thinking itself, to let it make the methodological choices, to let it decide what the data means, to let it write the argument while you nod along, you have crossed a line that is very difficult to see and very difficult to uncross. You haven’t saved time. You’ve forfeited the experience that the time was supposed to give you.”
“But the moment you use the machine to bypass the thinking itself, to let it make the methodological choices, to let it decide what the data means, to let it write the argument while you nod along, you have crossed a line that is very difficult to see and very difficult to uncross. You haven’t saved time. You’ve forfeited the experience that the time was supposed to give you.”
Voir aussi https://people-verimag.imag.fr/~maraninf/Shaarli/?SFuxRQ
L'article est commenté là : https://synthmedia.fr/politiques/lia-ne-reforme-pas-les-institutions-democratiques-elle-les-detruit/
L'article est commenté là : https://synthmedia.fr/politiques/lia-ne-reforme-pas-les-institutions-democratiques-elle-les-detruit/
Anthropic’s guide on context engineering formulates it quite clearly: the goal is to find the smallest possible set of high-signal tokens that maximizes the probability of obtaining the desired result.
@linguacelta@toot.wales
It’s still easy to not use AI. The food we eat, clothes we wear, and every electronic device we touch may embody innumerable injuries to the world, and all this is inescapable. Eschewing AI is one thing that we can actually do to live out ethics that affirm values of human and environmental rights. It’s almost a gift! Just use a computer the same way you did three years ago!"
