The Case For Open Source Machine learning is a classic example of upfront research and development costs. It can cost tens of millions of dollars in hardware alone to train a large language model, in this case LLAMA-2. Once this model is trained, it can be adapted for a variety of purposes. Incentivizing open-source development increases efficiency in training by reducing double-spending. It lowers the barrier of entry for talented engineers without independent wealth or institutional affiliation. By making software open to public scrutiny, it makes fixing security issues and
steal all you can of me and and than turn me into your molded demented mind's eye of future behavior control. Youre not engineers your sociopaths. DO NO HARM
steal all you can of me and and than turn me into your molded demented mind's eye of future behavior control. Youre not engineers your sociopaths. DO NO HARM