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Open source software is GREAT. But "open source" AI is NOT like software - it's VERY different. Rob Miles cuts through the bullshit: ROB: Oh, hey, Meta. I heard Llama's weights leaked. That's rough, man. Information security's hard. How you holding up? META: Oh, we're great. Yeah, we're fine....

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AI Notkilleveryoneism Memes ⏸️

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107,362 görüntüleme • 2 yıl önce •via X (Twitter)

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Source: Rob Miles' new banger video summarizing the last year and explaining the current situation with AI safety

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Rob Miles (in SF)2 yıl önce

I'm starting to suspect the main reason for open sourcing llama is that "Best 'Open Source' LLM" is much better marketing than "6th Best LLM"

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It's good marketing. And many people unthinkingly cheer for anything branded 'open source' Zuck has done this many times - he convinces developers to build on his "open" platform (FB), then crushes them when economic logic dictates. (VCs stopped funding startups built on FB.)

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@robertskmiles Amazing segment. Entire video is a must-watch!

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@robertskmiles HE IS RISEN

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Bryan Wade2 yıl önce

@robertskmiles Ok, call it Open Weights. There are still lots of people that benefit from that. It means that I can run this stuff on my own hardware, and a for profit company can't cut me off from the technology overnight. Most of the AI startup scene only exists because of open weights.

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Dirk Bruere2 yıl önce

@robertskmiles Illustrates that secrets cannot be kept by anyone.

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Matt Prestifilippo2 yıl önce

@robertskmiles This is missing the major point that even though they don’t share the training data, it’s still expensive to produce the models. And the permissive license to use those for businesses without fees is useful.

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Alex Alarga ⏹️2 yıl önce

@robertskmiles

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@robertskmiles I’d also highlight the aspect of learning how to code well from actual open-source.

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Dario Amodei just dismantled the biggest myth in the AI industry. Open source AI isn’t free. It never was. Amodei: “It’s not free. You have to run it on inference and someone has to make it fast on inference.” For decades, open source meant something real. It meant a teenager in a basement could download the same tools as a Fortune 500 company. Could read the code. Could modify it. Could build something that competed with the giants. That was genuine democratization. That actually happened. AI is different. Fundamentally. Physically. In ways the ideology hasn’t caught up to yet. Downloading the weights is the easy part. The part that actually costs something is turning the weights into a running system. Into responses. Into intelligence operating in real time at scale. That requires compute. Power. Infrastructure. The kind measured in billions of dollars and years of construction. Amodei: “These are big models. They’re hard to do inference on. Ultimately you have to host it on the cloud. The people who host it on the cloud do inference.” The open source debate was never about who owns the model. It was always about who owns the cloud. And Amodei goes further. When a competitor drops a new open model, he doesn’t ask whether it’s open or closed. He doesn’t care about the licensing. He doesn’t engage the ideology. Amodei: “I don’t think it mattered that DeepSeek is open source. I think I ask, is it a good model? Is it better than us at the things that matter? That’s the only thing that I care about.” That’s the ruthless clarity of someone actually trying to win. While the media debates licensing frameworks, Amodei is asking one question. Is it better. Everything else is a distraction. Amodei: “I don’t think open source works the same way in AI that it has worked in other areas. Here we can’t see inside the model.” This isn’t Linux. You can’t read it. You can’t fork it. You can’t understand it the way generations of developers understood the tools they inherited. You can download it. And then you need a data center to run it. The teenager in the basement who was supposed to be empowered by this revolution needs a billion dollars of infrastructure before the empowerment starts. The era of the basement coder rewriting civilization on a laptop is over. The future belongs to whoever commands the compute, owns the power grid, and can actually turn the intelligence on. Open weights without infrastructure isn’t democratization. It’s a promise the physics of the universe won’t let us keep.

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Databricks CEO Ali Ghodsi describes the difficulties of building a business around open source: "You have to hit two home runs, consecutively." "Your first home run - and you're banking on hitting that home run - is that your open source project takes over the world. Everybody wants to download it." If you don't hit that home run, Ali says, you just shot yourself in the foot. You just gave away your IP and got nothing back for it. But even if you hit this home run, you still don't have a monetizable business. You still can't make any money. So you have to hit the second home run: "You need a 10x innovation on top of the open source. That's the proprietary value you'll provide companies. That's why they'll come to you. Otherwise, they can get the open source anywhere." If you don't hit the second home run, the hyperscalers pick up your open source model, and they offer it for almost-free. "Getting into open source and monetizing is not an easy sport. Preferably don't get into it, because you might get hurt."

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