Surprised pikachu face
Ah, the John Cleesachu.
Shocked Cleesachu
My favorite part of this image is the image corruption on the bottom lol. Hopefully that wasn’t a local my side issue or I’m gonna look insane
Somewhere along the way my copy got janked. I liked it so I keep using it.
This is what Ilya saw…
reminder, there are localy ran LLMs. Right now is a vital time for open source to fight against closed source in the AI arms race.
Another good resource to help people find models https://llm.extractum.io
Or just straight up install https://ollama.com
I like Ollama, and recommend it to tinker, but I admit this “LLM Explorer” is quite neat thanks to sections like “LLMs Fit 16GB VRAM”
Ollama just works but it doesn’t help to pick which model best fits your needs.
pick which model best fits your needs.
What is the need I have to put the effort in to install all this locally. Websites win in terms of convenience.
I want to work on my stuff in peace and in private without worrying about a company grabbing my stuff and using it for themselves and to give/sell it to other outfits, including the government. “If you have nothing to hide…” is bullshit and needs to die.
I don’t think I understand your point, are you saying there is no benefit in running locally and that Websites or APIs are more convenient?
Okay but what problem does that solve? Is the solution setting up our own spambots to fill forums with arguments counter to their bullshit spambots? I don’t see how an LLM improves literally anything ever in any circumstance.
You seem unnecessarily hostile about this. If you don’t like LLM just move on.
This is exactly why this sub about technology is better off without business news. You’re just reacting to something you hate and directing that at others.
But answer the question maybe
Also, my “hate” was very clearly directed towards LLMs and not a “person”.
FWIW I did try a lot (LLMs, code, generative AI for images, 3D models) in a lot of ways (CLI, Web based, chat bot) both locally and using APIs.
I don’t use any on a daily basis. I find it exciting that we can theoretically do a lot “more” automatically but… so far the results have not been worth the efforts. Sadly some of the best use cases are exactly what you highlighted, i.e low effort engagement for spam. Overall I find that either working with a professional (script writer, 3D modeler, dev, designer, etc) is a lot more rewarding but also more efficient which itself makes it cheaper.
For use cases where customization helps while quality does matter much due to scale, i.e spam, then LLMs and related tools are amazing.
PS: I’d love to hear the opinion of a spammer actually, maybe they also think it’s not that efficient either.
I have personally found generative-text LLMs quite good for creating titles. As an example, I have a few hundred tweets that I’m trying to put into a file, and I’ll use an LLM to create a human-readable name for them. It’s much better than a lot of the other summarisation mechanisms (like BERT) I’ve tried with it, but it’s still not perfect, because the model tends to output the same thing in slightly different words each time, so repeat runs will often result in the same thing with a different title.
But, that is also a fairly limited use case.
It definitely improves my experience coding in unfamiliar languages. So there’s your counter example.
improves my experience coding in unfamiliar languages
Alan Perlis said “A programming language that doesn’t change the way you think is not worth learning.”
So… if you code in another language without actually “getting it”, solely having a usable result, what is actually the point of changing languages?
I have a job to do. And I understand the other language conceptually, I am just rusty on the syntax.
Also the chat feature is invaluable. I can highlight a piece of code and ask what it does, and copilot explains it.
Exactly. I see AI as a tool to automate the boring parts, if you try to automate the hard parts, you’re going to have a bad time.
Take the time to learn the tools you use thoroughly, and then you can turn to AI to make your use of those tools more efficient. If I’m learning woodworking, for example, I’m going to learn to use hand tools first before using power tools, but there’s no way I’m sticking to hand tools when producing a lot of things. Programming isn’t any different, I’ll learn the language and its idioms as deeply as I can, and only then will I turn to things like AI to spit out boilerplate to work from.
Mind explaining a bit your workflow at the moment?
I’m not sure how to succinctly do that.
When I learn a new language, I:
- go through whatever tutorial is provided by the language developers - for Rust, that’s The Rust Programming Language, for Go, it’s Tour of Go and Effective Go
- build something - for Go, this was a website, and for Rust it was a Tauri app (basically a website); it should be substantial enough to exercise the things I would normally do with the language, but not so big that I won’t finish
- read through substantial portions of the standard library - if this is minimal (e.g. in Rust), read through some high profile projects
- repeat 2 & 3 until I feel confident I understand the idioms of the language
I generally avoid setting up editor tooling until I’ve at least run through step 3, because things like code completion can distract from the learning process IMO.
Some books I’ve really enjoyed (i.e. where 1 doesn’t exist):
- The C Programming Language - by Brian Kernighan and Dennis Richie
- Programming in Lua - by Roberto Ierusalimschy
- Learn You a Haskell for Great Good - by Miran Lipovača (available free online)
But regardless of the form it takes, I appreciate a really thorough introduction to the language, followed by some experimentation, and then topped off with some solid, practical code examples. I generally allow myself about 2 weeks before expecting to write anything resembling production code.
These days, I feel confident in a dozen or so programming languages (I really like learning new languages), and I find that thoroughly learning each has made me a better programmer.
Thanks for that, was quite interesting and I agree that completion too early (even… in general) can be distracting.
I did mean about AI though, how you manage to integrate it in your workflow to “automate the boring parts” as I’m curious which parts are “boring” for you and which tools you actual use, and how, to solve the problem. How in particular you are able to estimate if it can be automated with AI, how long it might take, how often you are correct about that bet, how you store and possibly share past attempts to automate, etc.
From all the studies available, LLMs increased the rate at which low skilled workers complete tasks. They also lower accuracy, so expect some of the tasks to be done incorrectly.
If your metric for “improves” is being a better low skill drone forever then yes I’m sure it’s helping you. Here is a novel idea, maybe learn the language from a reliable source instead of taking the word of a bullshit generator at face value?
Here’s an idea, maybe start with curiosity about how someone is getting value out of it? It’s possible you don’t know everything about other people’s experiences.
It’s something being shoved down our throats every second of every day and I’ve seen enough to know I don’t like it. Curiosity was satiated a long ass time ago. It’s just a bigger power draw than Cryptocurrency but somehow magically even less value.
At the same time, the trouble with local LLMs is that they’re very resource heavy. Your average household computer isn’t going to be able to run one with much usability or speed.
Which, you know, is fine. Maybe if people had an idea of how much power is required to run them, they would think twice before using a gigawatt to output a poem about farts, and perhaps even wonder how OpenAI can offer that for free. Btw, a 7b model should run ok on any PC with at least 16GB of RAM and a modern processor/GPU.
Phi 3 can run on pretty low specs (requires 4gb RAM) and has relatively good output
“ClosedAI”
So what exactly is open about their ai
They put open in their name to get good talent, investments and so people would have a soft spot for them when they collect tons of data to build their product.
Their internal chats that were released in musk lawsuit reveals they knew they were gonna switch to for profit model (they here means the top brass). But they still lied to everybody about their intentions.
It’s criminal they’re keeping the name OpenAI
It’s called OpenAI because they are open to stealing content to train their AI
Can’t argue with objective truth
shit, bro. Deep
“Don’t tell me what to do, bro!”
“I made this!”
You made this?
…I made this!
I just used ChatGPT to copy this, so I’m sorry fellas, but actually now I made this.
Except in the AI version it has the wrong number of fingers, and the text is spelled wrong.
I͖ͭ̍̀̏͂̋̏͛ ͕͚̱̗̭͗͗͑ͥͨ̆ͥ͊ͅm̤̻͕̪̥͓͍̿̑̚a̜̝͖̯̰̦͐ͭ̄͋c̠̹̱̱̖ͦ̿̋͗̎l̝̭͚͇̎ͧe͙͕͂͆ ̳̩̦͙̯̮̙t̘̯̯ͣͧ̍ȉ̩̜́̏̂ͯ̉͑̄s̪͖̎ͬ̐͆
Open(your fucking wallet)AI
Almost like Sam Altman is just another run of the mill tech bro scam guy.
I don’t think he is a “tech bro scam guy”, i think he is worse like he is smart and has a documented track record of lying. Unlike other tech bros, he actually knows the capability /limits of his products and he still lies and makes it out to be something it’s not.
Much open, very organic, very demure, so mindful.
How exactly does one “outgrow” “AGI for the benefit of all humanity?
OpenAI Charter https://openai.com/charter
Our primary fiduciary duty is to humanity. We anticipate needing to marshal substantial resources to fulfill our mission, but will always diligently act to minimize conflicts of interest among our employees and stakeholders that could compromise broad benefit.
Great read
I’m partial to:
As long as the shareholders are happy.
The fact that Silicon Valley interests effortlessly shrugged off the non-profit board’s attempt to hit the kill switch last year, and now are preparing to take the company commercial despite the deliberate design otherwise, becomes much more interesting when you consider the theory that corporations are a form of artificial superintelligence.
If the AI idealists can’t stand up to basic forces of capitalism, how do they expect to control an actually dangerous AGI?
I kinda liked the text you linked. Here’s a quote.
There are also structural changes that can be made to corporations to realign their values system with human welfare. Corporate charters can be amended to optimize for a triple bottom line of social, environmental, and financial outcomes (the so-called “triple Ps” of people, planet, and profit.)
This reminds me of what we are trying to do where I live. The hard thing is this requires a lot of work and it doesn’t just go against the corporate agenda; it goes against the normal lifestyle most everyone around us lives. It has made me want to quit sometimes.
But then again, true life is in true living among real people and real things, not in daydreaming of better days.
You give them far too much credit to assume this specific company will ever achieve anything even close to AGI.
We don’t know what they aren’t showing us. GPT was only one strand of research
If they had something better, don’t you think they’d be putting it out front and center? This is akin to all those conspiracy theorists claiming they have proof to back their claims but they just can’t show it to you right now but it’s definitely coming at some indeterminate time in the future.
If the AI idealists can’t stand up to basic forces of capitalism, how do they expect to control an actually dangerous AGI?
My guess is they don’t expect to. I guess that that is one of the reasons they seem to not care about out of control climate change; burn it all down before it all literally burns down.
Yeah, the people leading the “AGI will save us” are the same as super church pastors.
They don’t believe it, they just want their bank account limitless before they go into oblivion.
I hope OpenAI is going to serve as a radicalising example to all the engineers, who fell for the “ethical guy/company” rhetoric, that the minority-controlled corporate structures they’re used to cannot withstand the push for profit. I hope this will make more of them choose majority-controlled structures for their startups and demand unions in existing corpos.
I mean, I was already radicalized in that respect, but it’s definitely reaffirming that radicalization.
But also: I fuckin told you so. This progression was so blindingly obvious from the get-go.
OpenAI on that enshittification speedrun any% no-glitch!
Honestly though, they’re skipping right past the “be good to users to get them to lock in” step. They can’t even use the platform capitalism playbook because it costs too much to run AI platforms. Shit is egregiously expensive and doesn’t deliver sufficient return to justify the cost. At this point I’m ~80% certain that AI is going to be a dead tech fad by the end of this decade because the economics just don’t work now that the free money era has ended.
It will fall through much faster than that. I’m thinking two years, tops.
If your username is any prediction then it will be consumed by Lemmy… 🎶downtown🎶
Them investors got to get paid!
As Ed said, Sam Altman has been a plague.
Surely they will be sued into oblivion if they tried right? Them being non profit was the main pillar holding up their defense for scraping the web into datasets.
