The injustice built into the YouTube “Content ID” system is blatantly obvious. But here’s a hilarious video by Elise Ecklund that shows you how awful it is for individual creators.
Presenting scientific consensus as “fact” is harmful, because it means that it will be harder to change that “fact” when more data is available.
Scientists are humans, but what makes their consensus trustworthy is their commitment to a process of forming testable hypotheses, gathering data, getting rid of confounding noise, and publishing their results. Thence, a model of reality is constructed, and a consensus—a belief—is agreed upon.
But NEW DATA MUST RESULT IN REVISED MODELS. That is good, and that defines progress.
Labeling consensus as “fact” undermines the idea that MODELS WILL CHANGE as more data come in. A “fact” is an immutable truth, and a reporting a change in scientific “facts” over time will undermine trust in scientists much more than the phrase “scientists believe”.
The problem with the phrase “scientists believe” is not the “believe” part. It’s the “scientists” part, which has lost public credibility.
Matt Farrah of The Smoking Tire gave an honest and (therefore) devastatingly negative review of the #Cybertruck. Good on him. Every point he makes is spot-on (except maybe the chuckle-inducing post-Apocalypse truck argument).
@drahardja Wow. Just writing this out loud because the post gave me the idea.
Would be really cool to be able to train an LLM which identifies biases in the data. Then train it with the data of everybody to be able to recognize our own biases and then try to correct them.
Of course, like done by the persons itself interested in recognizing its own biases, not like a megacorporation/goverment distopy to be able to control public opinion using those biases.
Now I'm not sure if this is so great or can be a real posibility of ever happening or even it already happened at some degree with the Cambridge analytica scandal 😅
@loko I think you’ll end up substituting one form of bias for another. Bias is one of those things that is very contextual, and require thinking through meaning, knowledge, and intent—all things that LLMs are incapable of processing.
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I love it when Apple does things like these: whimsical and natural-feeling details that make the device easier to use. Kudos to the team. Beautiful work. https://www.threads.net/@snazzyq/post/C7CpmYevMwf
@Aaron That was exactly what came to mind. That shining chrome animation was so expensive to run those days, because the accelerometer was way more power hungry.