One of the things that weighs me down is posts making me dwell on the things that weigh me down.
One of the things that weighs me down is posts making me dwell on the things that weigh me down.
“Despite being so common in English as to be known as the “Chinese curse”, the saying is apocryphal, and no actual Chinese source has ever been produced.” - Wikipedia
I’m located in a van in New Zealand so I only use mobile data. I pay NZ$40 (US$25) per month for “unlimited” data, which is all I can eat but capped at 1Mbps. I can stream 720p barely, but I mostly torrent. I typically use about 60-80GB a month.
OruxMaps (android) supports several navigation methods, kml overlays, offline maps, various online and custom maps, good tracking, routes, gps, etc, etc. Waaay better than Google maps - although it can also happily use Google maps.
I think you’re right there. My bad.
They say the second layer retains 93% of the performance of the first using reflected light, making it 20% efficient, so, yes they are added in that case.
TLDR; the front side is 23% efficient, and the rear side 20% efficient.
They don’t actually give an overall efficiency but it implies a total of 43%. They compare this to typical panels also at 23% efficient, so it’s really remarkable if true. Other emerging solar tech is up to about 32% but if that could also benefit from multiple layers then total efficiency could become insane.
Seems a little too good to be true, really, but great if so.
Edit: Yeah, I don’t think these efficiencies can be added like that. I guess the overall efficiency will depend on how reflective the ground under the panels is, and they will extract 20% of that. Maybe that’s why they don’t give an overall rating.
I think it’s intellectually lazy to stick with the stochastic parrot line of thinking now. There’s a number of emergent properties that are appearing as LLMs scale that give them abilities beyond that paradigm. Check out the “Sparks of AGI” paper from Microsoft research - or more realistically one of the youtube summaries of it since its quite a big read… Here’s one from the horse’s mouth: https://m.youtube.com/watch?v=qbIk7-JPB2c
Anyone who isn’t at least mildly interested that you know Morse code isn’t someone you want to know :-)
Good filter technique.
No. I only use Android as my PC via AR glasses. Is there even any antivirus software for Android? Probably, but I don’t care I guess. Never had a problem.
I’m just using a Samsung S20+. You need a Samsung if you want Dex.
My phone is my sole PC and has been for about 7 months now. I use it for everything. I’m using nreal AR glasses for a massive virtual 80" screen via Dex. I use a Bluetooth mouse and mechanical keyboard. I use libre office for real work, I do development work right on the phone. I also use andronix on the phone for when I need a more full blown Linux desktop for gimp, IDEs, GIS, etc.
Creating a new sub so I’m a moderator brought Boost back to life. Maybe that will help here?
FYI, you are able to edit titles on the fediverse in case you want to the missing word.
The Khan academy approach to ai-assisted learning looks amazing and it’s just a first attempt. I think having individual, endlessly patient AI tutors leading each student via the Socratic method will revolutionise teaching. Teachers actually have more time to socialise with the students, so fears that ai learning would deprive children of the social interaction may be put to rest. It looks really promising.
He said not from America.
Well of course, putting it on the open internet is very intentionally making it available for everyone to see. If you don’t want everyone to see it, don’t put it on the open internet. The issue is what people do with it, not whether they can access it. Copyright forbids distributing copyrighted data. The entire point of that it is so that you can make it available to be seen but protected from people copying it. However, there is no distribution or storage of copyrighted material with an LLM - there is no copy. I think OpenAI will be OK, but these things are never certain when the big lawyers are let loose.
Distributing the training dataset, though, that could well be a problem.
Ah. Interesting. I don’t get a paywall in incognito mode.
Which fediverse software is the best pile-of-dogshit alternative? hmm.
Time for a new direction. You’re already here!
You can use superconductors to create Josephson junctions, which can be used for standard logic operations (but also useful in quantum computers). These junctions are much more efficient and much faster than transistors.
This particular superconductor will not be useful for transmitting power because the effect breaks down at very low current limits in this material, but it will be very useful for studying superconductors.
So contrary to what you said, this will in fact not be useful for power transmission, but could be useful for CPUs and GPUs, and could lead to computers that are hundreds or thousands of times faster and more efficient than what we have today.
To be fair this material may never see a practical use though.