Doesn't AMD-135M count as open source llm?

While I agree with your general point, Stallman has the following view on open source: “The terms “free software” and “open source” stand for almost the same range of programs. However, they say deeply different things about those programs, based on different values. The free software movement campaigns for freedom for the users of computing; it is a movement for freedom and justice. By contrast, the open source idea values mainly practical advantage and does not campaign for principles. This is why we do not agree with open source, and do not use that term.”

Thank you! I am tired of explaining this to people but somehow the terms have gotten mixed up with free software, open-source software, open code, open model weights, etc. etc. The list keeps going on and on.

Well said.

This might seem like a throwaway "rant" to some people, but what you've said hits at a fundamentally important issue. We're well in the midst of a co-opting crisis. For all of his personal flaws, Stallman has always had a very clear understanding of what freedom of information means, and the implications of a world in which vested corporate interests get to decide what can be shared freely, and what cannot. I think people have become far too comfortable with the assumption that the internet provides: that there have always and will always be ways to acquire things for free. Like democracy, the unrestricted sharing of ideas is incredibly fragile and only exists due to the concerted efforts of a lot of highly skilled, dedicated, and largely unsung individuals who work tireless just because they think it is the right thing to do. Open source has a very specific, ideological, and profound meaning. If we're not careful and take steps to reject the co-opting of it by powerful business entities, we will in short order end up in a position where the meaning is diluted in the same way that "owning" a book, an album, a game has slowly become "purchasing a license to access" solely on the terms of corporate machines who do not care for, nor respect, ideals such as "information wants to be free". Words and concepts mean something. All of human progress depends on this axiom. We're at a technological pivot point the likes of which our species has never seen. If we fail to take an ideological stand now, the outlook is incredibly bleak.

Thanks!

Well said. Glad this is talked about and I wish more would.

What a piece of art (the video)! When I started programming I already had auto-completion, because it boosts your performance dramatically. I'm the generation of "auto-completion" programmers and I bet there will be generation of "llm prompters". And llms feels like cheating to me, the same as VSCode felt cheating to the authors of "no vscode" article. So, I totally support your opinion. Nice comparisons, support articles and the art about lines. Lovely video!

Interesting paper, thanks for covering!

I still write most of my code from scratch, but I spend far less time refactoring and debugging. AI is best used for discussing requirements and spotting edge cases. The true benefit isn't in code generation but in gaining mental clarity-typing out the code was never the hard part. You can still get all the productivity gains without having your skills atrophy but sharpen instead.

I agree with the notion that we should from time to time turn off the autopilot and see if we can still code. I personally see that using LLMs made me much more worse as a coder. However, I've also managed to build a lot more than I used to. So it's really a trade off. Perhaps we're witnessing a redefinition of what a software engineer is. We're coding less and less and it seems it's not stopping. We're reviewing more and more, which I personally don't like at all.

My friend coming from US after a 5day trip ! BSDK accent maar raha hai 😂

Deeply insightful

Interesting

Its amazing but…. In practical use the major problem is getting access to the papers in the first place. Elsevier and other Academic publishers will never allow public AI bot to be trained on its corpus without massive payments if at all.

Hold onto your papers, fellow scholars!

Nice breakdown

Nice breakdown

The first author also discussed this paper in the TWIML podcast a few days ago: kzbin.info/www/bejne/eWaoqo13jtGKbac

Amazing stuff here! thanks a lot for sharing and searching this gems❤

How does this system compare to the LLM that used the similar learning technique to max out on new Minecraft tools and skills?

Progress isn't forever. Yes tech has been becoming more abstract... to some degree. There's also movements focused on going back on some abstraction. Also there's no optional variety; every aspect of a product and its quality creates a specific experience and connection with the audience. Anything artisan will generally be better because there's more intentionality. AI lacks intentionality, and as people are no longer able to tell what is AI and what isn't, no one will know what was intentional and they'll become cynical.

If I don't know what I want, what's the llm going to do for me?

You got to the heart of it. This whole, I'm-an-artist thing, is nothing more than an ego-trip. Art requires tools. Pen and paper are tools. The computer is a tool. So also are llms

LLMs have been a godsend for getting me started with languages I am not familiar with They are also really really good for framework migrations and simple but powerful scripts But for complex applications, there is still a ways to go. Wanna see what the next generation is able to do.

I think it goes beyond techno-primitivism. IDEs and LSPs purpose have always been deterministic, their output will always be what you expect. It doesn't "make" non-deterministic decisions for you. LLMs remove a large part of the 'thinking' step out of the equation, but it doesn't necessarily 'think' for you, since that's not how LLMs work. Problem is, it encourages people to stop thinking and "let the magic black box handle it". The code it produces, how it understand the context and the systematic interactions you want to happen, are frequently wrong, but it's presented as a solution. I'm talking about 80% from what I've tried; and trust me, I have. If you've ever worked on any repository that's expected to be maintained longer than 2 days, and tried to use LLMs to "boot productivity", you'll know what I mean. My reasons for being against LLMs are beyond a moral imperative. From a pragmatic standpoint, they're affecting my work. I've had to review so many PRs of obviously LLM-generated code that doesn't even work properly. After talking to the corresponding owners of the PRs they assure me they heavily modified the resulting code, which is even worse to think about since what's supposed to be a time saver ends up wasting everybody's time.

AI Rorschach test: Could I/you make art using only llms?

Thank you for sharing your wisdom, it has inspired me.

Thank a lot! this is definitely a good paper to read on weekend 🙌

Thanks so much, great content.

Surprised, save me few weeks of testing 🙌❤️

🙌 great stuff

Always wanted to see this type of content

Unfortunately even the so called power users of LLM with their own KZbin channels, always seem to have a small set of stock prompts, which get repeated with every new review. If LLMs were trained on these specific questions then they're going start appearing super intelligent! Things like 'why is the sky blue', or write a 'snake game in python' are hardly a test of machine intelligence, as all that is needed is to be trained in accurate code or factual data.

I really value what you do my dude <3

Bot designer ltd crashed, I not able to access

Why not just use RAPTOR instead?

Excellent! I didn't know you before and I just stumbled upon your video while searching for material on prompting LLMs (for a local LLM project). You now have a new sub :)

can you discuss DSPy and give your opinion on it given how it is related to prompting

Nice video thank you very much !

Excellent review! Thank you. I really enjoyed this book and have been recommending it to people in order to help them set expectations about “AI” without excessive optimism or pessimism. Currently reading Deep Utopia; hope to see your review soon!

I think the main problem is how they traverse the graph by asking LLM at each step. I'm not sure if this is feasible in production.

Great paper, thanks for covering!

Excellent content. Well explained.

Sir, Do you explore the vision domain as well or do you any such youtuber whom i can follow for paper understanding.

very well "ragged"... both on the local domain (details) and global domain (overview of pros-cons) 😉😎

Thank you for the video, that was a great paper to go through. I find RAG research techniques have so much insight to how we can develop and identify our own cognitive impediments to our own judgement. The Comprehensiveness, Diversity of perspective, Empowerment and Directness is such a good mental model to use in our own human judgement.

super excellent video