greesil

24 ms·

481.
by greesil 3y ago
Hindsight, dude
482.
by greesil 3y ago
Kelly Blue Book is a thing. Possibly enforcement just hasn't caught up with this guy
483.
by greesil 3y ago
West Seattle? :)
484.
by greesil 3y ago
Try living in California. My $42K EV was closer to $600 for the registration.
485.
by greesil 3y ago
But not the cost to service the debt. Sorta misleading headline.
486.
American arrested after Canadian airport drug tests gave false positives(washingtonpost.com)
51 points by greesil 3y ago|31 comments
487.
by greesil 3y ago
You can also threaten to make a flying dong.
488.
by greesil 3y ago
Definitely ADHD. My neurotypical coworkers can't stand my constant interruptions. On the flip side their adherence to turn-based conversations drives me crazy.
489.
by greesil 3y ago
Linus?
490.
by greesil 3y ago
It's probably really good for Nvidia, and those versed in the dark arts of LLMs. Not as much good for the run if the mill general software engineer.
491.
by greesil 3y ago
I'm very interested to see what's going to happen to private equity now that interest rates are above zero. At the very least I have to imagine some of the loony schemes like buying up houses are going to stall.
492.
by greesil 3y ago
But why can't you just do it faster?
493.
by greesil 3y ago
That is r/bayarea, but the bay area subreddit has more crime "coverage" more reminiscent of my local nextdoor.
494.
by greesil 3y ago
Ooh what's the good stuff? Serious question. The latest cool thing I discovered was on youtube of all places on the topic of conical slicing. https://youtu.be/1i-1TEdByZY
495.
by greesil 3y ago
Well there goes the last social site I was engaged with, other than this one. I just don't get it when a business decides to declare war in its users. I'll miss the 3D printing subreddit, oh well.
496.
by greesil 3y ago
It's a different set of tasks and skulls but having a background in the relevant domain is in my opinion required. Working in ML, having a manager that doesn't understand statistical significance, or even key metrics like precisio
497.
by greesil 3y ago
Don't worry, they'll start with tasers.
498.
by greesil 3y ago
Kid #2 at age 37. I actually feel like it's easier at this age because I'm somewhat established in my field.
499.
by greesil 3y ago
As someone who does ML for a living I can definitely say that false positive data from the field can significantly improve the experience for those 1000. That is what should be standardized if we wanted to see systems that work for everyone
500.
by greesil 3y ago
Bug reports filed through NHTSA?
501.
by greesil 3y ago
To a certain extent this happens with various municipal police forces but not at and individual officer's level. https://www.npr.org/2019/04/12/712606977/how-the-insurance-i...
502.
by greesil 3y ago
So this person didn't get to speak at the conference, and they quit? But their technical contributions are still being added? Did I get that right?
503.
by greesil 3y ago
Whither Aerion?
504.
by greesil 3y ago
The cat's out of the bag already
505.
by greesil 3y ago
Yeah there is a mass change here, E=mc^2. It's not a lot of mass for your Tesla.
506.
by greesil 3y ago
so basically what TFA says is if you build a new model on Nate's model outputs and use that to compute conditional probabilites of various improbable scenarios you see weird shit. State level polling data according to Nate isn't
507.
by greesil 3y ago
What are the consequences of this, in terms of prediction accuracy?
508.
by greesil 3y ago
That's heartening. Mainstream media election coverage is infuriating. Nate is the antidote for me.
509.
by greesil 3y ago
His approach is pretty sound, and straightforward if you listen to his podcast. Proper treatment of fat tails via student t distributions and correlated variables with good (subjective) judgement on polling quality. I find that most people
510.
by greesil 3y ago
Well there goes any somewhat reliable election forecasting for the US

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