I mean sure. That one uses fewer words. If you’re a non native speaker, both are correct with the right placement in the sentence and removal of other words.
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Less than as smart as*
“It’s okay that it’s a racist, sexist shithole full of threats of violence because I, personally have never seen that so it must not exist. Additionally, as I personally have never seen it, you must have a ridiculous view of what extremism might be… in spite of a US senate report that goes directly against my point.”
- you
For the people downvoting me: https://www.isdglobal.org/wp-content/uploads/2021/08/02-revised-gaming-report-steam.pdf
GiveMemes@jlai.luto Technology@lemmy.world•OpenAI accidentally deleted potential evidence in NY Times copyright lawsuitEnglish5·7 months agoWord, thank you for the high effort and detailed explanation.
GiveMemes@jlai.luto Technology@lemmy.world•OpenAI accidentally deleted potential evidence in NY Times copyright lawsuitEnglish41·7 months agoAre you actually educat3d on this or just saying things? Because I’m asking bc idk
GiveMemes@jlai.luto Technology@lemmy.world•OpenAI accidentally deleted potential evidence in NY Times copyright lawsuitEnglish9·7 months agoEven “accidental” destruction?
Yes… well, sorta. For example, AI was found to be better at identifying TB than medical doctors. The catch here is that it also falsely diagnosed st a much higher rate than doctors. When an investigation was done as to how the AI was evaluating the imaging that it was given, they found that sets of virtually indistinguishable images were given different diagnoses by the AI. In many cases where there were no visible indicators of TB, a positive diagnosis wss given. The reason for this is that the AI was not weighting their TB diagnosis based on markers that doctors would look for alone, but also the age of the machine. Older machines have a much greater chance of being located in developing countries where TB is both more common and more deadly, leading to the age of the machine being considered an important factor, whereas a human would know that the age of a machine has absolutely zero relationship with the chance of getting TB, and doctors in these areas are already aware of and watching out for TB as it’s a much more serious illness than in Germany, for example.
Idk much about the cancer thing, but basically the machine learning for diagnosis thing is iffy at best afaik.
GiveMemes@jlai.luto Technology@lemmy.world•Trump plans to dismantle Biden AI safeguards after victoryEnglish284·8 months ago“Allowing the rich and powerful to get around copyright is good, actually, because it means copyright MAY someday go away”
GiveMemes@jlai.luto Technology@lemmy.world•Drug makers can’t make knockoff weight-loss drugs anymore—and they’re madEnglish1·9 months agoWhat is your point? There’s a difference between a bag and a molecule and it really seems like you’re just embarrassing yourself.
So in rope manufacturing they have the “average breaking force” and the “safe working load” the ABF is the amount of force it takes to break a rope on average whereas the SWL is what it sounds like and is what the rope is rated to hold safely. The ABF is usually 2-10 times the weight of the SWL depending on the material but that’s because there’s a huge amount of variance in how much force different ropes that were manufactured in the same way take to break. If the ABF is 10 times the SWL, that means there were likely ropes that broke at twice the ABF. My hypothesis is that you got one of these ‘top tier ropes’ as your cable, so to speak.