LLMs are complex topics and I'm glad the judge wasn't fazed by the "magic" of AI. Stringing together words based on curated previously parsed strings of words is NOT the same as having a thought, and using speech to communicate it.

It seems to me this is the behavior they WANT. It's counter-intuitive, but the article says they measure their success by user clicks. How do you get user clicks? Piss them off enough that they mash the "skip" button. Some percentage of these clicks will be misclicks and open the link. Useless to sales. Horrible for consumer sentiment. But when you're a middle-man digital ad firm trying to use AI and fundamentally aren't useful, this is the crap they come up with.

Even back in the $30 btc days, mining was always done with the calculation of where the price will be in 1-5 years. It's NEVER been profitable at the individual level without the corresponding price increases.

And have been waiting for this my whole life. Please give me readout on my Google Glasses of what you're feeling and a little reminder of your name and how I know you. Life would be 1000% easier.

We live in a world of data-for-sale by big companies. Even if they are prevented from sharing this data with police excepting actual emergencies (amber alerts, etc), for SURE they'll offer the data for sale to insurance companies. How much do you think Geico and Allstate would pay to know if YOU are "actually" a bad driver per their metrics so they can charge you more?

Asking for a friend...

Agreed. The internet echo-chamber doesn't see it. But in reality this would normalize working 2 jobs @64 hours a week rather than 1 at 40. So they'd all rather work 64 hours a week, neither job with better than part time benefits, in the name of mental health??

Or am I expected to keep working for free while "the community" erodes away into "the corporation" underneath my feet?

I like where this is going -- but can they redo the study where the participants wear glasses that filter certain frequencies of light (e.g. the kind found in laser labs that can specifically filter 480-500nm light); one group wears glasses that filter blue light, another yellow light, etc, and STILL use their devices for an hour before bed? Sure your instagram feed'll look like a bad 3D 80s movie while lying in bed, but it'll solve more clearly sleep patterns as a function of light frequency rather than the conclusion "oh well white light has all the light in it, so it's more complicated than a mild blue-blocker or not."

Same. If they made it easier to cancel, I'd average 2-3 months out of the year for roadtrips, holiday music, etc. Cancelling was SO HARD when I tried it in 2015 I haven't given them any business since then.

"Flower Moon" had a $200m budget; movies generally need 2-2.5x their budget at the box office to break even, and as of today it has $151m box office worldwide on boxofficemojo. People aren't seeing it. Yet it's audience score is above 80% on Rotten Tomatoes. Apple has exclusivity streaming rights for "Flower Moon". So by the numbers, it's a film people will like, probably wanted to see, but didn't make it to the theater in time. This is a prime candidate to do very well on streaming. Apple can't guarantee censoring De Niro will boost their streaming numbers, but they probably can guarantee De Niro making the front page of the Daily Wire for an anti-conservative political rant will hurt their streaming numbers.

The implication being political ads have been honest and forthright up until now? Is everyone at Facebook too young to remember the Daisy Ad in 1964? (or, for that matter, whatever their education, it didn't include a political science class?) The answer to this doesn't have anything to do with AI, or attack ads, honesty or politics. It's to learn for yourself and to teach those around you NOT to be swayed by sensationalist fear-mongering. Learn your parties. Learn the issues. If you're casting your vote out of fear for what "the other guys" will do, you're part of the problem. Democracy is "the rule of the people." Fixing it starts with YOU. Not "them", not a company, not a policy.

VB.NET background. Wanted to get into GPGPU to accelerate some of my more complicated math calculations. Tried CLOO (open source .net GPU wrappers) and couldn't get it to work, tried AMD's OPENCL dev gui, couldn't get it to work. Eventually found the answer in python. GPGPU in pyopencl is well-documented thanks to the bitcoiners, and from .net you can either run the python in a shell, or write a little python kernel to listen for, and process commands. Only catch is the opencl abilities are limited, and you have to start dabbling in c++ to get it to do any real work (and even then it's a dumbed-down c++ and many existing extensions don't install or work quite right). All in all I found the entire thing very rewarding though. :) Best of luck.

I wanted to be a paleontologist my entire life (and still do) but I ended up in computers because of the money. However I still daydream about it. What is the best part of your job? What's the worst?

is your goal theft prevention, or thief incapacitation?