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The Generative AI Con

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311–320 of 503 posts

Re: The Generative AI Con

#311
post #146

The point you're missing is that people were making the same kind of comments about Amazon and Uber not too long ago

Don't rewrite history. Amazon had a million times more books than my shitty local library. ChatGPT is at best the equivalent of a junior that you have to supervise all the time and replaces all your thoughts. It's a very different scenario unless those LLMs can improve very fast which I doubt. And when they reach a senior level, the damage will already be done.

Re: The Generative AI Con

#312
post #104

Earlier quoted context omitted.

I think that's an unfair comparison. If the IBM Simon disappeared in 1994, I'm pretty sure you wouldn't have cared. If search engines disappeared in 1992, you'd have felt the same. Also, (what later became) AWS probably didn't interface much with you in 2003. It takes some time for technology to mature, usually at least a decade or two. Even once the iPhone was released it took a few years until it became indispensab…

But the AI-public Internet timeline is more like 1995. if all web search disappeared in 1995 it would've been a massive loss, despite how primitive search engines were back then.

reminding me that ~1995 for a couple of years it was practical to print listings of web sites:

https://www.goodreads.com/book/show/2868341-the-internet-yel...

Re: The Generative AI Con

#313
post #309

ChatGPT and LLMs have had a significant impact on my wife's life. She's a second language speaker, and having ChatGPT available to draft and proofread professional sounding emails and text messages has drastically increased her self-confidence and ability to communicate with colleagues. I think that's amazing. That's also the only use of LLMs we've found.

The downside to doing this is that you'll sound like an LLM. LLM-generated text is very obvious to anyone with basic reading comprehension and once detected will cause some people to summarily dismiss the sender as a bot.

Re: The Generative AI Con

#314
post #309

ChatGPT and LLMs have had a significant impact on my wife's life. She's a second language speaker, and having ChatGPT available to draft and proofread professional sounding emails and text messages has drastically increased her self-confidence and ability to communicate with colleagues. I think that's amazing. That's also the only use of LLMs we've found.

Two uses for me (as a native English speaker who writes pretty well on my own):

1. Reformatting notes or bits of information into something more formal (something I consider actually counterproductive in a way, since formal is often more verbose, but that's expected in certain contexts...)

2. Sifting through the crap of the internet to answer obscure questions. The Google replacement that has been needed.

Re: The Generative AI Con

#315

Earlier quoted context omitted.

LLMs are pretty good at the aspects of coding that I consider to be "the fun part". Using them has made me more productive, but also made my job less fun, because I can't justify spending time using my own brain to do "the fun part" on my employer's dime. And that was something I was particularly good at, which is why I was able to be paid well to do it. So now my company makes more money, and the work gets done fast…

Huh, for me it's the opposite. It does the boring bit, writing pedestrian method bodies. Writing import statements. Closing tags. I do the fun bit: having creative ideas and trying them out.

Looks like you haven't used a decent IDE: these things have been standard for decades, locally and with minimal requirements. But wait, now it happens in the Cloud (meh, that's not gonna fly anymore, too last decade)...AND requires massive amounts of power AND cooling, PLUS it's FUBAR about 50/50.

For an incremental improvement...not great, not terrible.

Re: The Generative AI Con

#316
post #309

ChatGPT and LLMs have had a significant impact on my wife's life. She's a second language speaker, and having ChatGPT available to draft and proofread professional sounding emails and text messages has drastically increased her self-confidence and ability to communicate with colleagues. I think that's amazing. That's also the only use of LLMs we've found.

The downside to doing this is that you'll sound like an LLM. LLM-generated text is very obvious to anyone with basic reading comprehension and once detected will cause some people to summarily dismiss the sender as a bot.

I think this can be mitigated by proofreading and changing up a few things.

Re: The Generative AI Con

#317
post #309

ChatGPT and LLMs have had a significant impact on my wife's life. She's a second language speaker, and having ChatGPT available to draft and proofread professional sounding emails and text messages has drastically increased her self-confidence and ability to communicate with colleagues. I think that's amazing. That's also the only use of LLMs we've found.

It's helped me incredibly to proof-read a novel I wrote in Spanish and translated myself into English to make it sound more native. I review ever single suggestion an LLM provides (as I would do with a native proof-reader!).

I think this type of job suits LLMs perfectly... At the end of the day it's just a statistical NLP tool.

Re: The Generative AI Con

#318

Earlier quoted context omitted.

Transformers can do weather prediction yes. https://arxiv.org/abs/2312.03876

This thread is about large language models and generative AI. AFAIK LLMs perform pretty badly at time series prediction. Maybe some specially trained weather prediction neural network could perform well, but that isn’t really what we’re talking about here.

A Large Language Model is just a text predicting Transformer (and sometimes image and/or audio predicting if they're multimodal). Transformers are general sequence to sequence predictors. The only difference between this and GPT is the data it's been trained on. They're the same kind of neural network.

Re: The Generative AI Con

#319
The capex build-out for the gpu's reminds me of the telecom build-out in the late 90's. So many of those companies went bust but they laid a lot of high-speed fiber before they did which we all are enjoying now. I suspect most of these gen-ai companies will go bust in the next couple of years but all that compute power will be repurposed and used in the decade to come...

Re: The Generative AI Con

#320
post #309

ChatGPT and LLMs have had a significant impact on my wife's life. She's a second language speaker, and having ChatGPT available to draft and proofread professional sounding emails and text messages has drastically increased her self-confidence and ability to communicate with colleagues. I think that's amazing. That's also the only use of LLMs we've found.

For second/new language users, search enabled LLMs are great for finding information. You can instruct it to search in the target language and provide the results in your native language, helping greatly when you're not even sure what the relevant search words are.

I wouldn't trust the analysis on anything important, but that gives you the source links so you can still verify yourself.

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