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"Transatlantic flight will never be commercially viable, we conclude based on careful study of several aircraft designs from the 1920s"

Technology keeps advancing in a domain until suddenly it doesn’t. Where are my flying cars?

They're called helicopters.

And what since then?

This has the smell of "Why don't I have a faster horse".

Why no flying cars. Because objects have mass and inertia and people are incredibly stupid. Making a flying car has been done. Making a flying car not be a weapon of mass destruction is very, very hard.

Also:

https://www.txdot.gov/about/newsroom/statewide/air-taxi-test...


You're making my point for me, surprised you don't realize that...

Because you don't fully understand your own point...

You look at science fiction and say "why didn't I get flying cars" and not "why didn't most science fiction predict a global always on network that put the furthest places away from you a few microseconds away from audio, video, or any other type of information that can be digitally encoded.

Trying to use flying cars as a gotcha is missing that flying cars aren't near as useful as one would think in relation to their costs. Moving information has become far more useful than moving objects long distances quickly, especially humans.


> You look at science fiction and say "why didn't I get flying cars"

I definitely don't, and you're definitely not getting my point, but I'm amused that you've instead double down on somehow getting it more than me...


How about supersonic flight?

I don't think that's a useful comparison. Supersonic military planes have been common for decades. We don't have supersonic passenger planes because the FAA has banned supersonic flight over land since 1973, though the agency is planning on replacing it with a noise standard. Also the original supersonic passenger aircraft were government-sponsored tech demos, not financially sustainable products. With updated laws & modern technology (cameras instead of tilting noses, more efficient engines without afterburners, lighter materials), we could have viable supersonic passenger flight.

Bogus article. They didn't write anything to the drive, they faked writes to run up the drive's write counter to test whether the controller would declare the drive worn out despite the flash not being touched.


Yes, even the video's thumbnail explains this, I'm not sure how the article author managed to get it so badly wrong. (Although I'm not sure why it would need a windows bug, surely it's more of a drive firmware bug?)


The article was written, from soup to nuts, by AI. I suspect the person who threw his byline on it barely glanced at the text.


In many cases for game devs/publishers "supporting Linux" now means making sure the Windows build runs well under Proton.


It's cropping the original image then tokenizing it again with less downsampling, not cropping its internal representation.


I live in Poland and speak Polish but tend to have my devices set to English because of how low quality UI translations tend to be. The endless confusion this causes to software is amusing. Worst/best of all is Google Maps on Android, in which random parts of the interface, including voice directions, can independently be in Polish or English, and which is which changes on its own on a daily basis.


It's the latter. Some people abuse the system by highlighting the full length of every broadcast, turning their highlights section into a complete archive of their streams, which is not something Twitch ever wanted to offer.


I don't think it's fair to say twitch "never wanted to offer" when not long ago, that behavior was the base functionality. You could rewatch everyone's entire streams forever. There was a DMCA scare at some point when streamers were getting in trouble for their old streams having music and many took down all of their history, but before then you'd see years worth of streams for people


I did that, but not as a way to abuse the system. I used to export all my streams to YouTube directly from Twitch without downloading it first. I would just trim the beginning of the stream and sometimes split in more than one video if I had multiple content in one stream. I have hundreds of videos starting from 2018. I just thought this was ok and now I'm going through the effort of exporting them individually to a youtube account. I wish they had offered at least a way to export or download them in batch.


[flagged]


>Asking ChatGPT That alone makes me want to discard your entire argument, but the answer is pretty simple: cost

Hosting huge amounts of video data throughout multiple data centers is just plain expensive. Some ads isn't gonna fix that, especially since twitch already has a frustrating amount of ads everywhere.


Every time anyone posts anything from ChatGPT, it gets immediately and massively downvoted. It’s clear the community doesn’t want this; please don’t post it!


Very true. The most recent "leak" was of a document that is available on archive.org and has been for years[1]. But the bottoms of the pages have "NATO RESTRICTED" printed, so it was declined, and news sites once again exploded with "War Thunder player leaks secret military documents on forum!!"

[1] https://archive.org/details/da-7-flight-manual-2003


The requirements of orbital launch are unyielding. If you make a car 50% heavier, it will have worse mileage and handling, but it will still get you where you need to go. If you make a spacecraft 50% heavier, it will never reach orbit.


> All LLM runs under the complexity of O(n), where n is the length of the output.

Wouldn't n be the length of the complete sequence including input?


Ollama can already run Llama-3 70B with a 4GB GPU, or no GPU at all, it'll just be slow.

Considering this says it's "not designed for real-time interactive scenarios" it's probably also really slow


so how much GPU RAM does need to get the 70B going fast (ish)?


A good rule of thumb is that models can be quantized to 6 to 8 bits per weight without significantly degrading quality. This is convenient for the math: 70GB plus some overhead for the attention matrices (ongoing requests). This overhead depends on workload and context lengths, but you should expect about 30% more. So, around 100GB for a server under load.


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