Summary:

I downvoted pro-AI comments in a post in leftymemes community. It was LLM generated polandball comic (Which is objectively pathetic as fuck) that showed up on my feed, blocked couple of users who I thought were unhinged, and have blocked the whole instance on my client after realizing how rabid these morons are.

I didn’t go looking for AI posts like a vigilante.

One user in question got miffed for being downvoted and banned me from places they moderate.

      • Genius@lemmy.zipBanned
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        9 hours ago

        They can’t be trained on a laptop. It’s like arguing that beef can be cooked on an electric stove, and ignoring the emissions from the agriculture.

        • Initiateofthevoid@lemmy.dbzer0.com
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          8 hours ago

          https://www.databricks.com/blog/stable-diffusion-2

          We’ve replicated Stable Diffusion 2 for less than $50k, and we’ve open-sourced the training code so you can too! This is a 3x cost reduction from our last blog post and an 8x reduction from the original Stable Diffusion 2, making training large-scale diffusion models from scratch more accessible than ever before.

          AI model training is getting more efficient over time, not less. And each model only needs to be trained once, so your analogy doesn’t quite work.

          https://huggingface.co/docs/diffusers/main/en/tutorials/basic_training

          You can absolutely train a small, specialized model on minimal hardware.

          It’s also locally hosted and free to use, so each image generated does not directly incentivize the training of future models, unlike cloud-based subscription services.

          Worrying about open-source AI while corporate AI burns orders of magnitude more resources every day is much like everything else with climate change. Even if you somehow stopped it, it would barely be a drop in the bucket against the massive, inefficient behemoths destroying the world.