Vitalik Buterin
@vitalik.eth
Interesting OSI debate on how to define "open source AI": https://lwn.net/SubscriberLink/995159/a37fb9817a00ebcb/
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J. Valeska 🦊🎩🫂
@jvaleska.eth
curious about your take on that I think the training data is important to know potential biases, we are our feed and AIs are their datasets.. the first thing I am expecting from open source code is being able to verify (reading the code) that the code is safe and do what it says.. imagine an AI intentionally trained on biased (or even fake) data and considered open source.. tho, that guy talking on all the brain influences and comparing them with datasets is right.. if the comparison is allowed.. or not.. is another story.. this is a philosophical question.. is an LLM a brain? is AI alive? can be considered life.. etc
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