alt Hacker NewsWhy would anyone care about this at all?
MiniMax, DeepSeek, and Moonshot are all releasing models for the public to use for free.
Anthropic, OpenAI, Google ect have been scraping information to train their models that they had no right in scraping yet when these company pay them to scrap data we are suppose to be worried?
Labs like Anthropic always preach we are trying to build AI for everyone while releasing expensive models that are closed source.
The only reason AI is affordable at all is because of these Chinese AI labs.
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Turn the lens the other way around. By publicly posting that these models violate IP and anyone can run them, they are painting a specific political picture here…
> Why would anyone care about this at all?
Anthropic have been the loudest in pushing for regulatory capture, often citing "muh security" as FUD. People should care what they write on this topic, because they're not writing for us, they're writing for "the regulators". Member when the usgov placed a dude in solitary confinement because they thought he could launch nukes with a whistle? Yeah... Let's hope they don't do some cray cray stuff with open LLMs.
Anthropic make amazing coding models, kudos for that. But they should be mocked for any communication like the one linked. Boo-hoo. Deal with it, or don't, I don't care. No one will feel for you. What goes around, comes around. Etc.
Go free stuff! But... no one is running 400B models on their computers.
You are just giving them data instead. Its not like China is known to protect IP. Your data is going to be used against you, and we cant use western laws to keep it safe.
If you care about improvement of models, you would support the US labs here.
It costs hundreds of millions of dollars to train a frontier model. It's not just "scraping the web."
Distillation allows labs to replicate these results at 1/100th of the cost. This creates a prisoner's dilenmma which incentivizes labs to withhold their models from the public.
Also - how can this be prevented? the AI labs can't seriously expect that each lab will filter LLM generated content from their training sets based on the source model. Leakage of AI behavior into public datasets is inevitable.