While that maybe true ( I know some folks who are reprinting them ), the translated editions from those days were all printed in USSR at Mir / Raduga / Progress presses itself. We've even had poets, writers and other luminaries from India visit Moscow for this and other things as part of cultural initiatives.
perfect tutorial is just one search away from understanding everything but understanding nothing because breadth without depth is just surface tension holding together illusion of knowledge that breaks moment you try to apply it but application requires confidence and confidence comes from experience and experience comes from doing and doing requires starting which brings us back to fundamental problem of infinite choice paralysis paralyzed by possibilities spending hours researching best way to do simple task that would take minutes if just picked any way and did it but what if there's better way what if missing crucial optimization what if code isn't clean enough for imaginary code review by developers who don't exist because project doesn't exist because still researching best practices for project type I haven't defined but definition requires decision and decision tree has infinite branches each leading to different tutorial series on youtube where someone explains their way is best way until next video autoplays explaining why that way is actually worst way and real best way is completely different approach requiring different tools and different mindset and different everything except result which is same hello world application with extra steps but those extra steps are what separate amateurs from professionals according to blog post written by someone selling course about becoming professional which I almost buy before remembering
I always refer to it as cringe humour too but for the reason that it makes me physically cringe seeing how they humiliate themselves in social situations - Like NO MARK PLEASE DONT DO THAT! DONT ACT ON THAT IMPULSE PLEASE! kinda thing.
Weird = True generates the puffy/bloated JD Vance that's circulating around
Weird = False generates regular JD Vance
In Advance Mode you can guide generation with your own prompts. Works best with simple word combinations like Goth Pony, Vladimir Putin, Fairy muffin splat etc
Made using an ancient workflow - SDXL + IP Adapter etc
The screenshot appears to be from https://unit.tools Came across it recently on twitter and loved how it looked. After going through the features list, I was compelled to try it seeing how much thought and effort went into it. The site’s been offline mostly unfortunately though ;/
You're welcome. I recently noticed I get better performance with VLMs when the queries are phrased this way - Descriptive Keys instead of explaining the problem in sentences. Similar to COT reasoning that many people claim gives better results, I personally found querying in this sequence - existenceOfEntity, numberOfEntities followed by propertiesOfEntities etc tends to give better results. I haven't verified any of this rigorously so please do take it with a pinch of salt :)
This one is new to me. I still have my copies of Physics for Entertainment and Mathematics can be fun by the same author - Yakov Perelman. I owe my superfast stereogram decoding skills ( < 2 seconds most of the times ) to him :)
Here's an interesting tidbit from his wikipedia page - He is not related to the Russian mathematician Grigori Perelman, who was born in 1966 to a different Yakov Perelman. However, Grigori Perelman told The New Yorker that his father gave him Physics for Entertainment, and it inspired his interest in mathematics
From their Terms of Use section - The GDELT Project is an open platform for research and analysis of global society and thus all datasets released by the GDELT Project are available for unlimited and unrestricted use for any academic, commercial, or governmental use of any kind without fee.
This is my go to method for pretty much every hard problem that I'm forced to solve where I don't have the domain expertise / interest / time. The trick lies in coming up with a clever similarity metric that incorporates penalties etc. You can even go a level deeper and use multiple similarity algorithms and then poll on top of them. Here's a taxonomy extractor for text that I made using similar principles that is surprisingly as good as anything else that I've seen - https://dash.scooptent.com/text