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Marker
433 posts

Marker
@MarkerDaSharker
ML/AI engineer, have spent the past 10 years studying/researching machine learning and its interaction with hardware. always trying to learn.
USA BABBBBBBBY Katılım Ekim 2025
5 Takip Edilen20 Takipçiler

@ReviewsPossum this is the lefty version of keeping politics out of sports isn't it
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@reddit_lies Is this the liberal version of keep politics out of sports
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@BarryWhite84113 @JCSMITH420 @GuntherEagleman I don't understand this, have you been to ohio or penn or the dakotas? Yeah maybe the north east is like this but the Midwest pulls a lot more weight and guns in this scenario. This is like saying stereotypes about dc for 2.
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@JCSMITH420 @GuntherEagleman 3 can't even figure out which bathroom to choose just saying lol
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2 and it wouldn’t be close.
Nick@Tenn_MAGA2
If a civil war broke out tomorrow who would win and why?
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@TheDankBoi69 @AtheistTakes what. are you saying cultural traditions from religion aren't valid? Wtf is this response, you got a historical answer explaining cultural traditions and you're like "fuck culture and history you're wrong"
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@MarkerDaSharker @AtheistTakes Well, whatever this is, it got out of hand
It was a rhetorical question, of course it doesn't have to do anything with it
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@TheDankBoi69 @AtheistTakes eggs were used to break the fast as they weren't allowed to be eaten during lent, medieval Europe thought hares laid eggs, so fun childrens tales were told during Easter the hares would hide eggs for children to find to break their fast.
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@AtheistTakes What do hidden eggs have to do with the resurrection of Christ
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Google doesn’t do religious holidays dumbass
Kurt Schlichter@KurtSchlichter
Celebrating Good Friday over at Google.
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@Atomixion2 @AtheistTakes that's... the point of the account? it's a meme account this happens on both sides to laugh at dumb responses. not every conversation needs to be a theological debate.
big "sir this is a Wendy's" moment over here.
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@AtheistTakes I see you still have nothing but low IQ strawmen snd no answers.
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@DrHassdenteufel @CattardSlim They still have the 3/5ths compromise
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@CattardSlim And that she doesn’t understand math. Ten voters is incapable of producing 53%.
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@DesignSpecter @TerribleMaps Pulling someone over going 79 in the left most lane of a 4 lane highway with the flow of the rest of traffic and staying there for 30+ minutes not switching lanes isn't keeping y'all safe and is def playing around
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@MarkerDaSharker @TerribleMaps Our Officer's don't play around. And the the state highway patrol.... they are definitely in a league of their own.
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@VnSafeguard @kmcnam1 the point they're making is hes gaming and not learning or working
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@creatrix_ttv when I clicked this I didn't expect a gold standard truther of all things
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Blaming women working for macro outcomes is the laziest possible model of the economy. Here’s why 98% of this is misleading at best and absolute bullshit at worst.
The premise leans on numbers that aren’t even true. It was not “only 5% of mothers working prior to the 1970s.” By 1970, the labor force participation rate for married women (husband present) with children ages 6–17 was 49.2%.
If you want to tell a “something spooky happened in the 1970s” story, monetary policy is a much stronger candidate than women getting jobs.
In 1971 the US severed the dollar’s convertibility to gold. From that point forward, we moved fully into a discretionary fiat monetary regime where money and credit could expand without constraint.
Inflation isn’t caused by “too many workers." Sustained price inflation comes from monetary expansion outpacing real output.
Adding workers increases the economy’s capacity to produce goods and services, it’s literally the thing that should make stuff cheaper over time if markets are competitive and money is stable.
In competitive markets, higher output can actually LOWER prices and raise living standards. If goods get cheaper, real wages improve even if nominal wages don’t rise.
So if you’re claiming women entering the workforce “must” have crushed living standards, you’re implicitly claiming the economy got less capable at producing... which is backwards.
The reason the “more workers should have lowered prices” dynamic didn’t show up is because the supply-side gain from more labor is operating inside a system where money is elastic and intervention distorted key sectors.
If anything, women entering the workforce should have been disinflationary in a sound money, high-competition environment.
The fact that the biggest pain points since the 1970s have been asset-heavy, subsidy-heavy, regulation-heavy sectors with restricted supply and weak competition (housing, healthcare, tuition) should point you toward monetary and regulatory distortions, not toward women entering the workforce.
Melissa Wong@Melissa_WongMT
Since women entered the workforce our cost of living has gone up and our quality of lifestyle has gone down. We doubled the amount of taxpayers and workforce and our children are left to be raised by government schools.
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@SidKhurana3607 i feel like the washington bubble makes me wanna say hindi or some other indian lanauge, but nevada is throwing me off. is it hindi?
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i dont think that graph says what you think it does.
thats saying for benchmarks we've trained better models over the years, not that the price/compute itself is decreasing. the price of inference is realitively the same, theres just better models.
do you think its really fair to compare gpt-4, which is 1.8 trillion parameters, to claude haiku, which is 20 billion parameters directly? theres your 90x difference (though parameters are not all equal, as different experts can be shut off in MoE models, which is partly contributing to the 9x now that wont continue unless we find a better architectural paradigm).
my previous post was saying that when we get closer to the saturation in information in the model, hardware costs and optimizations matter more, which are way harder and take more time to design, and face high initial costs (especially with ram prices getting higher). flops per dollar according to your sources, is only improving by 1.3x per year, not 9x. the inital 9x is only because of them not really knowing how to price it yet, and ramping up scale.
were closer to scale, we have better techniques for scaling laws, and even more consistent intuition of what design works better on hardware (sparse MoEs/distilling, which, if we look at price per token per parameter, is captured by deepseek released almost 2 years ago now). why do you think that 9x trend is going to continue when there are neural scaling laws that say otherwise?
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@MarkerDaSharker @valigo @jpnyunja The literal most conservative assumptions possible still put us at 9x decrease per year
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@suchnerve I am not a bot but my previous account was hacked.
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@compliantvc C teir ragebait, too wrong of numbers to be taken as actual bait, and not as funnily ironic to be an interesting read. take a lesson from @eurofounder if you arent the same account owner.
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My friend got a job offer in the United States
It would be a 5% pay increase
"Will you take it?" I asked
Nope!
He explained how he'd actually be losing money by moving to the US:
- $2k to lease a car (required in the US)
- $1,500 a year tipping waiters
- $37k extra for health care
All of those expenses are zero in Europe
Moving to the US just doesn't make sense anymore
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@OSherikar @Amank1412 @OpenAI @Google uhh, Google acquired DeepMind in 2014 and internally started Google Brain in 2011. OpenAI was started in 2015, past both of these landmarks.
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@Amank1412 google was the one that started this with "attention is all you need" and they have more data, and have had consistent research output in deepmind.
openai has a product that went viral yet cant monetize it. $BYND shows how this plays out for poorly ran enthusiast brands.
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