Any chance you can elaborate on your use case? Part of why I submitted this is because I am not completely sure on when it is wise to use, I can see situations where it is clearly useful but things get fuzzy rather quickly.
Are you the monetus who used to post on the pd forums? If so, thanks, I have found some of my answers in threads which you contributed too and probably provided the solution too.
I have no personal experience of Kyrgyzstan or Russia, but my hunch would be that the noughts were riddled with taxi drivers like you say, while that has slightly improved over time? I mean, perestroika is known for having those problems, wasn't it? Correct me if I am wrong please anybody, thank you.
Crashes, various points over the last few decades. Three fender benders but the guy in Istanbul managed a proper one at speed, early hours of the morning and going too fast in the rain - thankfully nobody hurt but his car was trashed.
Robberies, both 2012, on the same trip.
And yes, corruption still rules the roost in a lot of old eastern bloc countries, from the government to the cops to the babushka driving the bus - it will take a long while for the mindset that the USSR inculcated to dissipate - that is, that the only way to get ahead in life is to lie, cheat, and steal. 2012 was my first time east of the Urals, and these days I know far better how to deal with it than back then, when I was still wet behind the ears.
No, not religious, I just am averse to human hubris, so maybe since that theme that echos in all the religious texts which is why you might think so. God told Even not to get knowledge by eating the Apple, Them he dispersed the people of Babel because they were trying to become like God.
I see Daoism as a scientific, observational life view. To know everything is impossible, and all the God stories say that God knows everything. No one can even know the Dao, all you can do is feel it in a sense. You can get an idea of the laws and let it take you. In other words, acceptance. The Dao (law of nature) controls evolution and why a baby is needed to live or die. We we try to change that we go against the Dao, and that leads to imbalance, and then problems.
For someone averse to human hubris, you repeatedly speak as if you were the voice of the world (nature, "Dao"?), merely spreading the will of the world (nature, "Dao"?). This is also why you were asked if you're religious, I assume.
If you walk off the edge of a building, you will fall and hit the ground. The hubris does not lie with me telling you that, the hubris lies with someone want to start editing our genes with birds so we can have wings so we don’t ever have to fear falling off of a building.
This goes back to my point of acceptance. Why can’t we just accept the fact that we do not fly? Why do we want to waste all this money and time being something we’re not?
Because it's only true to the extent it actually holds.
For example, in the 17th century, and then even more so in the 19th century, we discovered that humans can in fact fly pretty decent, provided the right contraption (an aircraft).
Every conceivable thing will be eventually attempted to the extent it can be. One could consider that itself a law of nature, not even specific to humans per se. How hubris enters the picture then, to me remains a mystery.
Post Olympics, the Eiffel Tower is now surrounded by a tall fence and requires passing through airport style security to get in. Bit of a hassle, but no shell games in sight.
How in the world did Juche become our national philosophy? I'm not sure, but I think about it all the time now.
I'm on HN, so I tend to want to blame the ad industry. It's pretty nebulous to think that "made in America" directly snowballed into this; so many things did. The freakier nativism in advertising really could use a break right about now though.
Likewise, “Dark Money” by Jane Mayer describes some of the political processes that got us here. That along with “The Family” by Jeff Sharlet to provide a little color to the religious side.
I do think USA-flavored Juche does some explanatory power for the group as a whole, even if the individuals lack any specific philosophy beyond hill climbing.
One of the underlying contradictory elements in the national philosophy of America since its founding has been white supremacy. Yes, that conflicts with "believe all men are created equal". No, this hasn't been properly resolved despite periods of extreme violence. I believe it's the anniversary of Gettysburg about now?
Hence the $45bn for putting people in camps. It's right there in the budget. Of course, that drip-fed in bipartisan fashion: there have been (smaller!) internments of immigrants for a long time.
I think the "advertising" was the billions spent on what were effectively anti-brown ads to help sell the Iraq/Afghan wars. Meanwhile in the 2000s the GSEs did not disclose their financials bc if they had perhaps the people would have felt the wars had a cost.
Since then it's been gradual attacks on press freedom (WL exposed fraud/propaganda in the Iraq/Afghan wars) and massive profits by the defense industry, resulting in dramatically more lobbying money. Not to mention the US automotive industry and major banks getting bailed out and preventing many small economic corrections that should have occurred.
Then 20 years after 9/11 when the US has spent 10s of TRILLIONS on wars and virtually nothing on infrastructure, industrial policy, etc., everyone wonders why China appears to be close to leapfrogging. The anti-brown propaganda and "USA USA" jingoism back in the early 2000s is still fresh, benefitting candidates with xenophobic and jingoistic messages. Many feel real economic pain but don't understand that you don't spend $20T without consequences -- plus scapegoating the weakest members of society is apparently more emotionally satisfying.
By the time we got the pandemic both parties realized that they had more to gain from fiscal irresponsibility, and the tribalism of the government's anti-brown propaganda combined with the "multicultural solidarity" focus over class warfare by Dems, led to increasing tribalism and tribe-focused media. Now a large percentage of the population lives in a complete information bubble and is close to worshiping its political favorites as though they are religious icons.
Thus now regardless of which party is in power, there will be a shift to censor and suppress information that is viewed as harmful to society. I honestly blame both parties for their share of this, but the ultimate culprit is feed algorithms that are optimized for emotionally potent content that creates engagement (and ad dollars) and nothing more.
What is actually fascinating about the orignal TikTok is that the algorithm was so much more useful at showing interesting/appealing content that it pretty much overtook Insta, YouTube, and Netflix and required government intervention to stop its growth. This shows us clearly how the major social media platforms were not just wrong about how to maximize profits but wrong on how to entertain and engage people, mistakes that are only possible when there is really not much competition, which is how we now do capitalism in the US -- and by the way if you win you get nationalized.
Indefinite royalties on Spotify are one thing, but how are they supposed to work in neural nets? Dividing equal share based on inputs would require the company to potentially expose proprietary information. Basing it on outputs could make sense as well I suppose, but would take some slightly ridiculous work for an arguable result.
Your point remains, but the problem of the division of responsibility and financial credit doesn't go away with that alone. Do you know if the openAI lawsuits have laid this out?
It can be as simple as "you cannot train on someone's work for commercial uses without a license", It can be as complex as setting up some sort of model like Spotify based on the numbers of time the LLM references those works for what it's generating. The devil's in the details, but the problem itself isn't new.
>Dividing equal share based on inputs would require the company to potentially expose proprietary information.
I find this defense ironic, given the fact that a lot of this debate revolves around defining copyright infringement. The works being trained on are infringed upon, but we might give too many details about the tech used to siphon all these IP's? Tragic.
>Do you know if the openAI lawsuits have laid this out?
IANAL, but my understanding of high profile cases is going more towards the "you can't train on this" litigation over the "how do we setup a payment model" sorts. If that's correct, we're pretty far out from considering that.
I admit, rewarding work fairly is very difficult with perfect information, much more with proprietary models and training data.
With code, some licenses are compatible, for example you could take a model trained on GPL and MIT code, and use it to produce GPL code. (The resulting model would _of course_ also be a derivative work licensed under the GPL.) That satisfies the biggest elephant in the room - giving users their rights to inspect and modify the code. Giving credit to individual authors is more difficult though.
I haven't been following the lawsuits much, I am powerless to influence them and having written my fair share of GPL and AGPL code, this whole LLM thing feels like being spat in the face.
