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2023: The Year of AI

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Re: 2023: The Year of AI

#41
post #13

AI has been gradually improving for decades, but this is the year we finally noticed. The big thing was huge progress in natural language understanding. 2023 was the year the Turing test was smashed. Seeing computers win games, drive cars, optimize systems, even design things wasn’t as subjectively impressive to most of us as being able to talk to them. This was the year we first saw AI that could sort of communicate…

People were amazed by ELIZA back in '67. That doesn't mean that it did anything useful...

What’s your point? Because I can’t imagine it’s to suggest that GPT4 doesn’t do anything useful.

Re: 2023: The Year of AI

#42

This article seems very corporate centric. Like, I am able to run a ChatGPT3-ish code LLM locally on a 2015 midrange laptop. Just like this: wget https://huggingface.co/TheBloke/deepseek-coder-6.7B-instruct-GGUF/resolve/main/deepseek-coder-6.7b-instruct.Q5_K_M.gguf git clone https://github.com/ggerganov/llama.cpp cd llama.cpp make ./main -ngl 32 -m ../deepseek-coder-6.7b-instruct.Q5_K_M.gguf --color -c 2048 --temp 0.…

A few years ago peak HN comment was complaining about wget | sh.

Nowadays we just run full on opaque models directly from huggingface without thinking twice about reading anything. Interesting how times change. I wonder what supply chain attacks will come from huggingface, must not be long now.

Re: 2023: The Year of AI

#44
post #13

AI has been gradually improving for decades, but this is the year we finally noticed. The big thing was huge progress in natural language understanding. 2023 was the year the Turing test was smashed. Seeing computers win games, drive cars, optimize systems, even design things wasn’t as subjectively impressive to most of us as being able to talk to them. This was the year we first saw AI that could sort of communicate…

People were amazed by ELIZA back in '67. That doesn't mean that it did anything useful...

[flagged]

Re: 2023: The Year of AI

#45

I dunno. The year of AI hype? LLMs are gonna change the world but the real incredible stuff is gonna take a few years before it really hits.

Things are already changing for early adopters. Yesterday, I used a PDF GPT to review an 80+ page contract and GPT4 to explain specific parts of it in depth using layman's terms. I could have hired a lawyer like I have done in the past but that itself is a slow, laborious process and I often feel like my questions don't get thoroughly answered. I feel very confident of my understanding of the contract now.

I also used StableDiffusion to mock-up landscaping designs for our back patio and make ceramic art ideas for my wife last month.

I was finally able to use super resolution to improve the quality of an old video CD of a VHS tape of a theater play my dad starred in with his friends in the 80s. I tried without super resolution many times in the past but it was never good enough.

You are right that it will take a few years before it hits but AI in 2023 is not hype if you know which tool to use when.

Re: 2023: The Year of AI

#46
post #26

This article seems very corporate centric. Like, I am able to run a ChatGPT3-ish code LLM locally on a 2015 midrange laptop. Just like this: wget https://huggingface.co/TheBloke/deepseek-coder-6.7B-instruct-GGUF/resolve/main/deepseek-coder-6.7b-instruct.Q5_K_M.gguf git clone https://github.com/ggerganov/llama.cpp cd llama.cpp make ./main -ngl 32 -m ../deepseek-coder-6.7b-instruct.Q5_K_M.gguf --color -c 2048 --temp 0.…

Why would I run it myself when I can run GPT-4 for less than the electricity cost? Running these yourself is not free. OpenAI is heavily subsidized.

Ye well at some point getting a sausage from Deliveroo or Uber Eats was a no-brainer since it was cheaper than in the actual fast food joint, due to some VC selling a dollar for pennies.

Should limit the stock price prospects though.

Re: 2023: The Year of AI

#47
post #7

This article seems very corporate centric. Like, I am able to run a ChatGPT3-ish code LLM locally on a 2015 midrange laptop. Just like this: wget https://huggingface.co/TheBloke/deepseek-coder-6.7B-instruct-GGUF/resolve/main/deepseek-coder-6.7b-instruct.Q5_K_M.gguf git clone https://github.com/ggerganov/llama.cpp cd llama.cpp make ./main -ngl 32 -m ../deepseek-coder-6.7b-instruct.Q5_K_M.gguf --color -c 2048 --temp 0.…

No they haven't. It's actually quite weird how the whole hype-cycle is working this time; I think tech journalists are so caught up in the drameh of OAI and whatever they haven't a clue that most people can run most of these novelty UCs on their own. You don't even need a speedy rig!

Ye it is strange. And in the tail around Sam Altman there seems to be these semi-religious lunatics believing that only some government mandated big tech monopoly can save mankind from the LLMs.

Meanwhile amateurs and uni researchers post really interesting work on a site named after a hugging emoji ...

Re: 2023: The Year of AI

#48
post #45

I dunno. The year of AI hype? LLMs are gonna change the world but the real incredible stuff is gonna take a few years before it really hits.

Things are already changing for early adopters. Yesterday, I used a PDF GPT to review an 80+ page contract and GPT4 to explain specific parts of it in depth using layman's terms. I could have hired a lawyer like I have done in the past but that itself is a slow, laborious process and I often feel like my questions don't get thoroughly answered. I feel very confident of my understanding of the contract now. I also use…

When we use it to solve real problems, make some real progress on climate change, then it will be something else from hype and it will be the year of AI.

When you as an individual use it to sort PDFs or something it’s really hype.

Re: 2023: The Year of AI

#49

Earlier quoted context omitted.

People were amazed by ELIZA back in '67. That doesn't mean that it did anything useful...

What’s your point? Because I can’t imagine it’s to suggest that GPT4 doesn’t do anything useful.

Their point is, we’ve been here before.

Re: 2023: The Year of AI

#50

This article seems very corporate centric. Like, I am able to run a ChatGPT3-ish code LLM locally on a 2015 midrange laptop. Just like this: wget https://huggingface.co/TheBloke/deepseek-coder-6.7B-instruct-GGUF/resolve/main/deepseek-coder-6.7b-instruct.Q5_K_M.gguf git clone https://github.com/ggerganov/llama.cpp cd llama.cpp make ./main -ngl 32 -m ../deepseek-coder-6.7b-instruct.Q5_K_M.gguf --color -c 2048 --temp 0.…

A key difference is that for basic use cases, yes, this is a comparable experience. Where it stops being comparable is general application across literally millions of use cases. The ChatGPT system has proven itself a valuable utility across industries, people, and use cases. No open model I know of can match it yet.

They don't have to match the market leader, they just have to be "good enough".

There are oodles of use-cases where sending your data to an outside provider is a complete no-go. In these cases OpenAI/Google/whoever-products aren't relevant competition.

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