Ummm was weather foresting not always done using probalistic interference models, i.e AI?

Weather forecasts have recently felt like they’ve been less accurate, i.e. you maybe get a good level of confidence for a day, but two days and it might be completely different. This makes sense given the climate is changing and previous models wont fit as well…

Are LLMs going to consume search data for raincoats and air-conditioning to improve the weather forecast. Clearly time to invest in AI now, the revolution is here!

Praise Stallman

No, I’m a lazy shite, I just did an image search for clippy 1984. I feel bad now I didn’t make more of an effort 😕

Cool! This seems like an good write up on it

https://atoonk.medium.com/tcp-bbr-exploring-tcp-congestion-control-84c9c11dc3a9

Bottleneck Bandwidth and Round-trip propagation time (BBR) is a TCP congestion control algorithm developed at Google in 2016. Up until recently, the Internet has primarily used loss-based congestion control, relying only on indications of lost packets as the signal to slow down the sending rate. This worked decently well, but the networks have changed. We have much more bandwidth than ever before; The Internet is generally more reliable now, and we see new things such as bufferbloat that impact latency. BBR tackles this with a ground-up rewrite of congestion control, and it uses latency, instead of lost packets as a primary factor to determine the sending rate.

This is pretty funny, kinda suggests they have no faith in the engineers they work with… ffmpeg is an awesome piece of work, but if it’s a bug they can repeat to some level, then like you said, it 100% a them problem!

E: oh, was thinking it was a pm raised it, but seems it was possibly one of their developers, brutal…

explaining “wallpaper” to the currents in the ocean…

If this isn’t just a saying I haven’t heard of, I’m doing my best to make it a common place phrase, absolutely perfect in this context!

It’ll happen one day… maybe…

Well, what I seen this image as was the classic divide and conquer strategy of the capitalist classes against the working class and/or arbitrary race category to enable them to control and/or murder at will.

However, this image is actually a complete gas lighting exercise in using toxic characteristics from capitalism to describe communism. I didn’t notice the hammer and sickle, which to be fair makes no fucking sense…

The relevance to the above post was really trying to play on

“The Production of too many useful things results in too many useless people”

which I take as a satirical poke at the deficiencies of capitalism, although it’s of unknown origin as far as I know…

If automation does reach a point where labour isn’t needed, then it may well encourage the likes of Murdoch et al to intensify the encouragement of class war.

Sorry, I clearly don’t pay enough attention to the shit I post :(

A human surplus. This on steroids possibly?

until there isn’t a human surplus in the consideration of those who manipulate the easily led…

Or a more complete solution to you having a problem with it would be you being in the tiny percentage.

Totally, if you want to profit gauge from the population, that’s you’re thing. These executives worked hard getting into the privileged position they’re in, they should be allowed to take advantage of it. People are just whiny right?

I use Arch.

They’ll have modelled the acoustic signals to differentiate between different keys. Individual acoustic waves eminating from pressing a key will have features extracted from them to identify them. Opimal featues are then choose to maximise accuracy, such as features that still work when the signal is captured at different distances or angles. With all these types of singsl processing inference models, you never get 100 percent. The claim of 95 percent is actually very high.