>it's been exactly one (1) year since ChatGPT and most "generative AI" products/software were released
Has it lived up to the hype or is it still too early to tell?
>>22653>first bakery that started accepting Bitcoina business doing it to increase their value
>or bragging about purchasing weed off of the Silk Road.nothing wrong with that
im here making porn and having fun with da boys online with AI, whats the issue?
>>22666wtf are you talking about, the entire tech industry is basically a history of good technologies being left by the wayside. tech companies literally have a materialistic incentive for adopting shitty technologies, even Paul Graham recognized this. in the case of a programming language for example, tech companies don't give a single fuck about whether or not a language is good or not; they care about if it's an "industry standard" that is used by successful companies both because the whole tech industry is basically blindly following trends out of FOMO and because there's an incentive for these companies to adopt technologies that everyone already knows.
if a company uses a good, but niche, programming language, then their employees have bargaining power. they're probably better than the average fresh out of undergrad 21 year old or H1B or third world code monkey, and there's literally less downward pressure on these employees to put up with being exploited by their employers because there are less people who know the language they're using. but if you use Python or Java (which are both garbage technologies), everyone knows these languages, and most problems can be solved by taking advantage of the free labor that has gone into making open-source libraries. a company only really needs to concern itself with hiring someone who is enough of a midwit to figure out how to plumb together libraries to write some shitty CRUD web app or call out APIs to AWS or some other cloud service, and if they don't like being forced into the arbitrary and asinine Agile grind, if they feel like they're getting paid poorly or overworked, tough shit, there are hundreds of other people who will do their job for less and put up with worse conditions. people who are fresh out of a coding bootcamp, people in third world countries where getting paid less than minimum wage in the west is a lot of money for them.
the tech industry isn't a meritocracy and the only reason people think this is because until recent history it was still closer to being an artisanal craft. but the profession has been getting proletarianized for years and most techbro retards have enthusiastically aided in this process while also being the least class conscious people imaginable.
>>22668>tech companies literally have a materialistic incentive for adopting shitty technologies In your example of programming languages: an esoteric language does not mean "good". Interchangeability of labor and accessibility isn't bad. Your whole post is describing them acting rationally, but you make the assumption Java and Python are "bad", I would disagree: the proof is in the software that has been created using these languages.
>>22667Not needed with bluetooth devices. We don't have T9 keypads anymore either.
>>22657What's your process? How do you find a reliable market? Might want to order some stuff online….
>>22669A better example is like capitalists factory owners using the cheapest machines they can find that eventually are hated by employees and need constant maintenance in order not to blow up.
In the company I'm employed at, a crucial part of the business is held up by a huge PHP project that's impossible yet crucial to maintain. It has become a house of cards situation and now people are scrambling to build scaffolds around it. The lack of a sane compiler, a strong type system, and poor architecture and engineering, led us to this situation. But as always, if it isn't explicitly broken, then there's no business incentive to fix it. In the end, the project has become unnecessarily expensive and decoupling is not only necessary to cover new business needs, it will also be expensive.
I will die on this hill. Strongly typed, loosely coupled software is inherently cheaper. People pretend pure functional programming languages are impossible to learn so they don't.
Further, I wouldn't advocate for lisp but the story of how NASA banned lisp is such a prototypal story I've seen in many companies. Some higher up once had an issue with x technology, so now it's banned forever from the company. Usually the reasons given are poor and not language specific.
>>22648>AI is completely useless except for speculationlmao. Ain't that true. There's some uses, but the uses advertised have been mostly vaporware or completely useless. I for one love github copilot. It would be nice to generate porn but idk, I don't care about it too much.
>>22659I agree with this loom framing. (I do think some crypto has some use value, but I recognize that that is being overshadowed by hype bubbles.)
>>22668I get the point that you're making about labor interchangability and labor markets, and I absolutely agree that that is a thing they're explicitly thinking about. I'm not trying to downplay that, but I see a couple of other things at play here that I think are also important to consider. The easy point is that languages benefit from having large ecosystems of developers contributing and writing modules, which is obviously going to track closely with familiarity in the labor pool. The hard point is that there might be reasons that interchangability of labor might actually be nice in general *aside from* the effect on the price of labor (e.g., if freedom of movement is something you desire or think is useful then having an industry adopt some sort of standard work flow procedures would make it easier to have workers move around with relatively low friction and loss of productivity).
https://youtu.be/Bt0qFtjwTMA?si=kqvca1s7ZR7xD9sj&t=146AI trained on company data can tell what type of data your wage workers are hoarding very quickly without human intervention.
https://youtu.be/0lg_derTkaM?si=s8aPghdbtQzWHID-&t=489Looking through Logs is a boring part of SIEM. Natural Language is how humans think. LLM's dig through logs very fast to hunt for ransomware.
Image 1 &
https://github.com/mhaowork/amblegptLLM's and Computer Vision convert CCTV Video into text based searchable logs. This converts lots of image frames into simple uniform history that can be searched.
https://youtu.be/R8YR243hbNA?si=jaRMdDTSVtkDD5Wm&t=103A Doctors Cell Phone records a visit. A transcript is generated with machine transcription. An LLM converts a unsorted transcript into formal medical documentation.
https://youtu.be/Zlgkzjndpak?si=5s3dqdH-G6AL49wU&t=151Create an end goal, create multiple LLM Agents with different roles, and you get a game. This is a simple example. It costs less than a Human. This idea of agent swarms will only get more sophisticated. Imagine real time feedback by humans driving development. Imagine turning every human into a reviewer. This won't just impact games.
Closing Notes:
Today is the weakest LLM's will ever be. These will get better.
Agent Swarms with Given Roles are the trade secret you and I don't see in action.
>>22645our lord and savior @sama is leading us to agi, we have full faith in his ability to drive up the stock price until we can sell our stakes!
I find it tiresome, every few years the same tech hype grift and the pathetic cult mentality in corporate software companies. I like being a programmer and there definitely is steady progress within the field, but it gets too much interacting with these zombies who buy into this stuff every time.
>>22677Diyhrt dot cafe for estradiol
Estradiol isn't a super controlled substance (especially compared to testosterone) so they don't do darknet stuff I guess
>>22668>Paul Graham recognized this. in the case of a programming languagePaul Graham is eternally butthurt that gay-ass LISPs never really became mainstream, despite them being provably more powerful than any other language due to it being homoiconic (that means it's iconic among gay people) and due to its syntax being a very close representation of abstract syntax trees. Java won for very practical reasons instead: it resembled C and ran everywhere (on paper) making it a no-brainer for most bosses.
Material incentives means exactly that: companies will adopt whatever will facilitate profit extraction in the inmediate sense. It does not mean that they will choose what's theoretically the most optimal option. In that sense, training your employees to learn some obscure relatively un-intuitive paradigm was never even an option. If ChatGPT hasn't been widely adopted yet, it's because it didn't deliver on its promise of replacing workers, it's that simple. Paul Graham is a dumb retard btw, a statement that is meant to circumvent flood detection.
>>22740>in practice whatever ends up getting adoption is whatever makes it easier to extract short-term profits"So we've made this new model of our phone. Yes, we've cut out many features but LOOK AT THIS, IT FOLDS!! IT FUCKING
FOLDS!! AND IT'S AS THIN AS PAPER!! WHY AREN'T YOU EXCITED, GET EXCITED, YOU ASSHOLES!!!"
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