They've been acting like that from the start π€·π»ββοΈ
this post was submitted on 27 Dec 2024
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No problem, after they release all the data collected under the excuse of public good and progress.
Sam:
So the development of inorganic intelligence, considered by many as an inflection point in human civilisation is to be handed to business graduates who are historically proven to be capable of any level of atrocity in the name of corporate greed. America, fuck yeah.
~~America~~ Greed, fuck yeah.
Don't fool yourself. The USA lost the exclusivity deal on unchecked corpo greed a long time ago. This is a global issue now.
Actually corporations themselves are 99% of what people fear about AGI already in their inhuman decisionmaking to the detriment of humanity.
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Stop depending on these proprietary LLMs. Go to [email protected].
There are open-source LLMs you can run on your own computer if you have a powerful GPU. Models like OLMo and Falcon are made by true non-profits and universities, and they reach GPT-3.5 level of capability.
There are also open-weight models that you can run locally and fine-tune to your liking (although these donβt have open-source training data or code). The best of these (Alibabaβs Qwen, Metaβs llama, Mistral, Deepseek, etc.) match and sometimes exceed GPT 4o capabilities.
And there are also free, online hosted instances of those same LLMs in a (relatively speaking) privacy-protecting format from DuckDuckGo, for anyone who doesn't have a powerful GPU :)
i'm not so sure on the privacy of any of this.
Interesting. So they mix the requests between all DDG users before sending them to βunderlying model providersβ. The providers like OAI and Anthropic will likely log the requests, but mixing is still a big step forward. My question is what do they do with the open-weight models? Do they also use some external inference provider that may log the requests? Or does DDG control the inference process?
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The issue with that method, as you've noted, is that it prevents people with less powerful computers from running local LLMs. There are a few models that would be able to run on an underpowered machine, such as TinyLlama; but most users want a model that can do a plethora of tasks efficiently like ChatGPT can, I daresay. For people who have such hardware limitations, I believe the only option is relying on models that can be accessed online.
For that, I would recommend Mistral's Mixtral models (https://chat.mistral.ai/) and the surfeit of models available on Poe AI's platform (https://poe.com/). Particularly, I use Poe for interacting with the surprising diversity of Llama models they have available on the website.
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Booooooooooo!
Anyway: ill just keep using alpaca to run llms locally
is there an easy way to do this that doesn't require me to understand how github works?
I recommend Ollama, its easy to setup and the cli can download and run llms. With some more techsavviness you can get openwebui as a nice ui.
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I think that in that case, YouTube is your friend. There are a few pretty straight forward videos that can help you out; if you're serious about it you're going have to, eventually, become familiar with it.
Alpaca for linux is easy to use. You just install the flatpak and the llm of your choice. You dont need to know how to use github. (It might have a windows version but im not sure)
That's very open of them
Open to All Income.
I thought they were a for-profit company all this time.
Pretty much non-profit in name only. Some shady hybrid model.
OpenAI sure seems like a case study in how to grift everyone by masquerading as a non profit whilst actually enriching yourself and your shareholders, causing a whole new class of societal problems in the process.
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Shocking nobody
Well, apart from the people like me who thought they had always been one because they acted exactly like one.
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So, ads in chat now?
'subtle' product recommendations
I'm Open AI and this is my favorite shop in the Citadel.
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There was never another outcome.
Capitalism breeds one thing, and it certainly isn't innovation, and it most definitely isnt not-for-profit innovation.
Capitalism is extremely good at breeding superficial, go-to-market innovation. It's less good at funding the pure research that leads to major discoveries. But once it gets closer to engineering than to science, it's highly effective. Even Marx commented on that.
They should also change their name to ClosedAI while they're at it.
Ruh roh!
Hahaha. April 1st is early this year.
They are never going to make enough money by selling licenses and subscriptions for the cost of their current models (smarter people than me have made good estimates), let alone the future ones. Those future models are at a much worse performance-cost ratio. Ads will at best bring in about 1 usd per user per month (estimated by Facebook revenue and number of users) - double or triple it just for lolz, and they would still be losing money.
So⦠how will this be pulled off? Only wrong answers!
Have a partnership with Microsoft and ship Windows 12 as the new "AI only" OS. Every command must go through ChatGPT to work. Then push updates to older Win11 OS to make them unusable.
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This is going to sound weird but so is the internet their icon suggests a chain of bodies eating out the ass of the one in front of them which to me seems apt for the product
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No kidding. π
Lol like it wasn't always.
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