Hi all.
I'm currently working as a PHP Developer, and I want to learn something new, because I've been developing in PHP for 7 years.
My current tech leader is a super senior developer with around 25 years of experience developing software, and he said his main programming language is Perl, and he worked with it so many years and so many projects, also he said he could teach me Perl in an advanced way if I wanted to.
So i have this opportunity to learn Perl from a professional with a lot of experience.
The only thing stops me, is that I know that Perl jobs are not that common, at least not as PHP jobs.
But something that motivates me is learning a new technology and apply it.
I know there are a lot of JS and Python jobs, but I don't really like those languages, I would prefer Java or C#.
This is my situation, should I invest this time into learning Perl if I want to expand my market opportunities?
Greetings!
submitted by /u/oscar_96vasa
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So hear me out...
This idea is stupid. But on Star Trek (VOY, TNG, and DS9 at least), they measured their data as "quads". ( memory-alpha.fandom.com/wiki/Q… ). This was never defined because it's just Sci-Fi and doesn't need a real definition. But... what if they're quad-floats aka 128bit floating point values. This would mean then that all the storage could be done as LLM or other neural network style models, and vector embeddings and such. Given what we've got today with transformer style models for doing translation, chat, etc. If you had ultrapowerful computers that could do these calculations with such gigantic precision then you'd be able to store very accurate data and transform it back and forth from vector embeddings and other fancy structures. It'd enable very powerful searches, and the kind of analysis we're trying to use LLMs for and see them use in the shows when talking to the computers. This would also explain a lot about the universal translators from ENG onward, and could even help make sense of Darmok and Jalad at Tenagra. And then Voyager even has bio-neural circuitry for doing things faster, some kind of organic analog computing doing stuff "at the edge". Using weights and embeddings to do things with them and have them react by programming them with a machine learning model at each node could easily explain how that could work too.
This idea honestly feels too stupid to be real but it could explain so much.
Perl.social server upgrades
perlbot and related status
Perl.social updates
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Changes for 0.006 - 2023-07-02T15:36:03+00:00
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Open a file for shared reading and/or writing
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- Fix tests with perl-5.38.0.
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Ryan Voots
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