Those are all more affordable, reliable, and established brands though.

My guess is that Amazon thinks everyone forgot about the Kindle Fire cuz that was before last quarter and that’s as far back as they remember.

Improving the technology behind AI will only increase the return on investment per watt, so you’ll want to spend even more on it than before. This would more than likely increase the energy demands (assuming it doesn’t turn into vaporware).

One of these days, an engineer, the best and the brightest of us, will invent a way for it to be technically impossible to fix in production. They will be a hero, and save hundreds of companies from bad decisions, and they will never become famous or wealthy for it.

My Amazon streaming app on my Xbox literally only works when using my PiHole. Their poorly tested ad software literally prevented me from watching Prime for a few weeks until I turned my PiHole back on.

This is the stock market, the value is set by what investors think the value could be. Mostly, they’re probably assuming people would come back if he sold it. Literally everyone knows the name Twitter.

Don’t forget that the data bandwidth is so low it can’t play higher quality mp3s.

Can’t you press volume up to act as a shutter button? That was a feature as old as thr iPhone 4, maybe older.

RIP other white rook

Future chips not affected by THIS cpu bug.

Chess.c*m🤮

Every Sonos app sucks. It’s just one of those facts of life.

A friend of mine recently told me that your seat position is stored server-side in case you own multiple Teslas, so if Tesla goes belly up, it’s possible you won’t be able to save your seat settings.

I’m actually greatful for foldable phones. When they started actually coming out, I was certain that smartphones were feature-complete and my phone would never become obsolete again. If that weren’t true, they would have put a new real feature in the phone instead.

Inb4 apps like NewPipe and Signal are arbitrarily categorized as “low quality” without any sort of opportunity to challenge the ruling.

Yeah I’m glad you brought up the doorbell. Once the jammer dog is jamming, it’s impossible to ring most doorbells and choose the polite option. It’s 110% murderville from that point onwards.

Weather forecasting does create ensemble models to help constrain their forecasts. They’ll adjust some of their inputs in each model, mainly as a way of embedding the uncertainty in the measured data, then run that model and see if it changed.

This resembles AI on one level, but it’s at a dramatically different scale. An ensemble may contain a few hundred runs at most, but an AI needs tens of thousands of data points at minimum. In order to make predictions like what google is saying they can do, they’d need to train on billions or maybe trillions of data points.

This is still fundamentally different than ensemble modeling though. Ensembles are physically informed and the perturbations are based on real assumptions. Each model in an ensemble is based on validated physics equations. An AI model would undermine that completely. You can’t possibly describe the underlying equations because there aren’t any, so you can’t analyze its accuracy or propose a more accurate model, you’re just stuck with a bunch of coefficients that you’ll never understand.

I’ve worked in climate modeling, and this kind of AI work is nothing more than an electricity sink for at least a decade, maybe forever.

Wouldn’t help (on its own), you’d still get auto-updated to the broken version.

The problem is that 20% failure rate has no validation and you are 100% liable for the failures of an AI you’re using as a customer support agent, which can end up costing you a ton and killing your reputation. The unfixable problem is that an AI solution takes a ton of effort to validate, way more than just double checking a human answer.

Pretty sure that on average, I write more lines of Python per day than are in this repo at the moment, and I’m not constantly under threat of a cease and decist from arriving at my doorstep.