There’s never enough proof for some people. There are Holocaust deniers ffs
As for China, the proof is in the pudding. Can you go there and openly speak about it? Can anyone just go up to the camps unannounced and check? Or can you only go there when and how the government wants, like the Nazis did when they invited the International red cross to one of their camps and made a little movie about it to show how humane they were, and then at the end of the film they simply sent everyone there to Auschwitz?
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Back in the day, before streaming was a thing, there were lots of people saying that they’d gladly pay for content if it was served to them in a convenient way. But why would you pay for a worse experience (at that time physical media, often at lower quality, and lower availability) when you can get a better one for free?
Along came streaming. Lo and behold, piracy decreased. Where the fuck do you even go to pirate music anymore? All the big sites have shut down. Video piracy is kinda still going strong, probably mostly due to bullshit concerning exclusives, but it’s way less than it used to be.
Its their platform, they can do whatever they want with it I guess, but this trend is definitely gonna be a big boost to piracy.
It never went away but lots of people I know who did all that stopped bothering.
When the range in netflix went down, fees went up and everybody launched different services, I was really thinking of sailing but it was Netflix blocking sharing that was the final straw.
Back in the day, before streaming was a thing, there were lots of people saying that they’d gladly pay for content if it was served to them in a convenient way.
It wasn’t just people saying that, it was backed up by studies.
Music piracy just kinda gets ripped from official sources. Be it Spotify with an Adblock script, or downloading the song from YouTube.
If you want super high quality stuff, you can find groups dedicated to it. But for most users, just modding streaming services to give them what they want for free is enough.
I love the corpospeak. why say “crashed into” when you can use “made contact” which sounds futuristic and implies that your product belongs to an alien civilization?
The description of an unexpected/(impossible) orientation for an on road obstacle works as an excuse, right up to the point where you realize that the software should, explicitly, not run into anything at all. That’s got to be, like, the first law of (robotic) vehicle piloting.
It was just lucky that it happened twice as, otherwise, Alphabet likely would have shrugged it off as some unimportant, random event.
It’s great though - that’s how you get amazing services and technological advancement.
I wish we had that. In Europe you’re just stuck paying 50 euros for a taxi in major cities (who block the roads, etc. to maintain their monopolies).
Meanwhile in the USA you guys have VR headsets, bioluminescent houseplants and self-driving cars (not to mention the $100k+ salaries!), it’s incredible.
True, but your savings on non-luxury bones helps with the fees associated with luxury ones, I’m sure. I can’t do anything for my bones with a $30 glowing petunia.
Yeah it’s $40 for an Uber in Columbus or Cleveland as well. There isn’t a monopoly on taxis creating that price, thats just how much it actually costs to rent a car for cross city travel.
If you want a no regulations/free market at the helm, you want to move to India. They have all the rules you love.
It should of course not run into anything, but it does need to be able to identify obstacles at the very least for crash priority when crazy shit inevitably happens. For instance, maybe it hits a nice squishy Pomeranian that won’t cause any damage to itself instead of swerving to avoid it and possibly totalling itself by hitting a fire hydrant.
Or maybe it hits the fire hydrant instead of a toddler.
At any rate, being able to identify an obstacle and react to unexpected orientations of those obstacles is something I think a human driver does pretty well most of the time. Autonomous cars are irresponsible and frankly I can’t believe they’re legal to operate.
I didn’t read it as them saying “therefore this isn’t a problem,” it was an explanation for why it happened. Think about human explanations for accidents: “they pulled out in front of me” “they stopped abruptly”. Those don’t make it ok that an accident happened either.
This is what I wondered about a few months ago when people were saying that ChatGPT was a ‘google killer’. So we just have ‘AI’ read websites and sum them up, vs. visiting websites? Why would anyone bother putting information on a website at that point?
We are barreling towards this issue. StackOverflow for example has crashing viewer numbers. But an AI isn’t going to help users navigate and figure out a new python library for example, without data to train on. I’ve already had AIs straight up hallucinate about functions in R that actually don’t exist. It seems to happen primarily in the newer libraries, probably with fewer posts on stackexchange about them
AI isn’t going to help users navigate and figure out a new python library for example
Current AI will not. Future AI should be able to as long as there is accurate documentation. This is the natural direction for advancement. The only way it doesn’t happen is if we’ve truly hit the plateau already, and that seems very unlikely. GPT-4 is going to look like a cheap toy in a few years, most likely.
And if the AI researchers can’t crack that nut fast enough, then API developers will write more machine-friendly documentation and training functions. It could be as ubiquitous as unit testing.
Current AI can already "read" documentation that isn't part of its training set, actually. Bing Chat, for example, does websearches and bases its answers in part on the text of the pages it finds. I've got a local AI, GPT4All, that you can point at a directory full of documents and tell "include that in your context when answering questions." So we're we're already getting there.
Getting there, but I can say from experience that it’s mostly useless with the current offerings. I’ve tried using GPT4 and Claude2 to give me answers for less-popular command line tools and Python modules by pointing them to complete docs, and I was not able to get meaningful answers. :(
Perhaps you could automate a more exhaustive fine-tuning of an LLM based on such material. I have not tried that, and I am not well-versed in the process.
I'm thinking a potentially useful middle ground might be to have the AI digest the documentation into an easier-to-understand form first, and then have it query that digest for context later when you're asking it questions about stuff. GPT4All already does something a little similar in that it needs to build a search index for the data before it can make use of it.
That’s a good idea. I have not specifically tried loading the documentation into GPT4All’s LocalDocs index. I will give this a try when I have some time.
I've only been fiddling around with it for a few days, but it seems to me that the default settings weren't very good - by default it'll load four 256-character-long snippets into the AI's context from the search results, which is pretty hit and miss on being informative in my experience. I think I may finally have found a good use for those models with really large contexts, I can crank up the size and number of snippets it loads and that seems to help. But it still doesn't give "global" understanding. For example, if I put a novel into LocalDocs and then ask the AI about general themes or large-scale "what's this character like" stuff it still only has a few isolated bits of the novel to work from.
What I'm imagining is that the AI could sit on its own for a while loading up chunks of the source document and writing "notes" for its future self to read. That would let it accumulate information from across the whole corpus and cross-reference disparate stuff more easily.
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