GamingChairModel

AI drives 48% increase in Google emissions

That's not even supported by the underlying study.

Google's emissions went up 48% between 2019 and 2023, but a lot of things changed in 2020 generally, especially in video chat and cloud collaboration, dramatically expanding demand for data centers for storage and processing. Even without AI, we could have expected data center electricity use to go up dramatically between 2019 and 2023.

The eyebrow raiser in the Slate's base configuration is that it doesn't come with any audio systems: no radio antenna/tuner, no speakers. It remains to be seen how upgradeable the base configuration is for audio, how involved of a task it will be to install speakers in the dash or doors, installing antennas (especially for AM, which are tricky for interference from EV systems), etc.

I'd imagine that most people would choose to spend few thousand on that audio upgrade up to the bare minimum expectations one would have for a new vehicle, so that cuts into the affordability of the package.

The analog dials were an illusion. That information has been processed digitally for at least the last 25 years.

What I'm saying is if YouTube is sharing $10 million of revenue with channel owners in a month that has 1,000,000,000 total views across YouTube, that's a penny per view.

Then, if the next month the reconfigure the view counts to exclude certain bots or views under a particular number, you might see the overall view count drop from 1,000,000,000 to 500,000,000, while still hitting the same overall revenue. At that point, it's $0.02 per view, so a channel that sees their view count drop in half may still see the same revenue despite the drop in view count.

If it's a methodology change across all of YouTube, a channel that stays equally popular as a percentage of all views will see the revenue stay the same, even if the view counts drop (because every other channel is seeing their view counts drop, too).

That's kinda always been how technology changes jobs, though, by slowly making the job one of supervising the technology. I'm no longer carving a piece of wood myself, but I'm running the CNC machine by making sure it's doing things properly and has everything it needs to work properly. I'm not physically stabbing the needle through the fabric every time, myself, but I am guiding the sewing machine path on that fabric. I'm not feeding fuel into the oven to maintain a particular temperature, but I am relying on the thermocouple to turn the heating element on and off to maintain the assigned equilibrium that I'll use to bake food.

Many jobs are best done as a team effort between human and machine. Offloading the tedious tasks to the machine so that you can focus on the bigger picture is basically what technology is for. And as technology changes, we need to always be able to recalibrate which tasks are the tedious ones that machines do better, and which are the higher level decisions best left to humans.

Isn't that the formula? They take all of the revenue, set aside the percentage they've set for revenue share, and then divide that among all channels based on viewer counts. Dropping viewership for all channels proportionally means that the same amount of revenue will still be distributed to the channels in the previous ratios.

'what if we did the same thing, but twice?'

That's just a perfect way to describe it.

Most 4k streams are 8-20 Mbps. A UHD runs at 128 Mbps.

Bitrate is only one variable in overall perceived quality. There are all sorts of tricks that can significantly reduce file size (and thus bitrate of a stream) without a perceptible loss of quality. And somewhat counterintuitively, the compression tricks work a lot better on higher resolution source video, which is why each quadrupling in pixels (doubling height and width) doesn't quadruple file size.

The codec matters (h.264 vs h.265/HEVC vs VP9 vs AV1), and so do the settings actually used to encode. Netflix famously is willing to spend a lot more computational power on encoding, because they have a relatively small number of videos and many, many users watching the same videos. In contrast, YouTube and Facebook don't even bother re-encoding into a more efficient codec like AV1 until a video gets enough views that they think they can make up the cost of additional processing with the savings of lower bandwidth.

Video encoding is a very complex topic, and simple bitrate comparisons only barely scratch the surface in perceived quality.

Article is paywalled for me.

Does it describe the methodology of how they use the transmitter and receiver?

What specifically are they transmitting? Is it actually wifi signals within the 802.11 protocols, or is "wifi" just shorthand for emitting radio waves in the same spectrum bands as wifi?

Yeah I'm with you.

"Using this technological advancement to improve health care is good"

"Not in countries where health care is publicly run"

"What" is the correct response here.

“The only difference between the two emails was the link,” the memo said. “ActBlue delivered. WinRed got flagged. That is not a coincidence.”

It could also be that winred is more often associated with spam because emails with winred links use a style more associated with other actual spam. Like if spammers use words like Trump a lot to try to scam victims, and a lot of those emails get flagged as spam, then the word Trump itself becomes more highly correlated with spam. And since the word Trump is highly associated with winred links, maybe winred gets caught up in the rule set/heuristics that associate Trump fundraisers with spam.

How does being a dick to users get back at site admins you don't like?