771–780 of 916 posts
RIP to one of the most evil products I've seen come out of the tech industry in my lifetime.
It's really funny how people can say these things online without giving them a second thought. There are literal weapons being produced that are killing people daily. But no, it's the meme generator that's evil.
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> "Make this e-mail sound nicer" and "What's a cheap vacation spot with warm turquoise waters" Right but I think a lot of these use cases aren't replacing any jobs because it wasn't anyones job. It's just a little polish on existing work (did spell correction in Word kill jobs?) or the stuff that voice assistants have been promising for 10 years.
Both of those things both were and are jobs. They're called secretaries and travel agents.
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"coding is the prime use case for this where you can make money" Is it? I have the impression GenAI deteriorates the internet both from a content and tech perspective. Bots that waste your time because they don't work well or because they are pushing an agenda, and low quality content that floods social media from people who want to make a quick buck. GitHub and AWS became increasingly unstable. X, Instagram, and Wha…
Fake Support contact from companies is another use case. They send you in endless useless circles until you give up. Saves the company a ton of money
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I think he meant more like a synth. You could take recordings and process them using ai. At least this was my takeaway
I spent years deep in modular synthesis, making my own patches, sounds, and effects processors then using them to perform music. Taking away the precision, control, and serendipity afforded by modules and cables, or a programming language, and telling me "Just describe what you want and the plagiarism machine will spit out whatever correlates with that description on average" would destroy everything I love about syn…
Sometimes I think my opinion means nothing on these topics, especially when it's going to get buried in a thread of 500 plus comments. But I think you finally see a little bit of a flaw in the strategy or just a little bit of insight into what was desperation for relevance and to try to very quickly attain what other companies have attained but essentially what they're seeing is this gradual reduction in ambition and…
I like the framing of trying explosive things to escape the pull of gravity. When applied to rockets, it means a lot of stuff blowing up, which again seems apt.
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Not because there is no path to profitability (they make a ton of money on inference), they just spend a lot on R&D.
from what i understand, the issue with inference is it doesn't scale as user count grows the way traditional saas scales. In typical saas adding users requires very little additional capacity. However with inference, supporting more users requires much more capacity to be added. I don't know if it's quite linear but it certainly requires more infrastructure to support additional LLM users than say a web application.
Sometimes I think my opinion means nothing on these topics, especially when it's going to get buried in a thread of 500 plus comments. But I think you finally see a little bit of a flaw in the strategy or just a little bit of insight into what was desperation for relevance and to try to very quickly attain what other companies have attained but essentially what they're seeing is this gradual reduction in ambition and…
Ironically, starting your response with this guarantees a lot of people won't read it. It's the same as going on reddit and starting a reply with, "Nobody will see this but", and hoping that people try to prove you wrong by reading and commenting on it. I stopped after the first sentence. People really have to stop with the clickbait vomit way of writing.