- cross-posted to:
- [email protected]
- [email protected]
- cross-posted to:
- [email protected]
- [email protected]
cross-posted from: https://infosec.pub/post/47200357
One critic called the move “petulance beyond measure.”
cross-posted from: https://infosec.pub/post/47200357
One critic called the move “petulance beyond measure.”
How about the smaller open source models? Is the impact the same? I’m also wondering how much DeepSeek v4 changes this since the inference costs are several times lower than before. I’m sure there’s still a lot of negative effects, but I’m wondering if the needle has moved at all.
Until the datasets to train the models are curated and paid for, there won’t be an ethical LLM.
I haven’t looked into smaller models, but I’d wager that training the models is still power intensive.
And finally, how the LLM are used currently make them a net negative.
I understand the lack of ethics and I agree that their current mode of use is definitely a net negative, but was wondering more about the impact on the environment specifically.
It still takes a lot of energy to train the local models, only to get a bullshit generator.