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NextElephant9 @ NextElephant9 @awful.systems
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11 mo. ago

$5,000 grant from Slate Star Codex to get an AI to write 5,000 novels about AI going well, to be fed back into AI training corpuses. This is the most Effective possible Altruism.

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  • This is fucking stupid. And now my day is ruined because I got annoyed thinking about this idea.

    • At the forefront of AI thought thought leadership leadership: the Center for the Alignment of AI Alignment Centers

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  • Just got here to post this link, I'm too slow!

    • Stubsack: weekly thread for sneers not worth an entire post, week ending 17th August 2025

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  • ... but the output is not deterministic as the letter count is sampled from a distribution of possible letter counts for a given word and letter pair; count ~ p(count | word = "blueberry", letter = 'b')!

    • Stubsack: weekly thread for sneers not worth an entire post, week ending 9th February 2025

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  • Thanks for the replies, I guess the "good" was vague on purpose, to see how people interpret it...

    This popped up on one of my feeds today and I saved it, can't remember from where, it's relevant to the above so sharing here: https://oneproject.org/ai-commons/ (AI Commons: nourishing alternatives to Big Tech monoculture).

    They talk about AI for good, at some point they mention how the term is sometimes used just for marketing.

    • Stubsack: weekly thread for sneers not worth an entire post, week ending 9th February 2025

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  • I don't know if this is the right place to ask, but a friend from the field is wondering if there are any examples of good AI companies out there? With AI not meaning LLM companies. Thanks!

    • Skynet, but it’s Wheatley: OpenAI sells ‘reasoning’ AI to US government for nuclear weapon security

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  • Nuclear security? Should be fine, as long as it doesn't involve counting letters in any words.

    • Stubsack: weekly thread for sneers not worth an entire post, week ending 2nd February 2025

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    • OpenAI Furious DeepSeek Might Have Stolen All the Data OpenAI Stole From Us

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  • Knowledge distilation is training a smaller model to mimic the outputs of a larger model. You don't need to use the same training set that was used to train the larger model (the whole internet or whatever they used for chatgpt), but can use a transfer set.

    Here's a reference: Hinton, Geoffrey. "Distilling the Knowledge in a Neural Network." arXiv preprint arXiv:1503.02531 (2015)., https://arxiv.org/pdf/1503.02531

    • Stubsack: weekly thread for sneers not worth an entire post, week ending 15th December 2024

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    • Stubsack: weekly thread for sneers not worth an entire post, week ending 15th December 2024

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    • Stubsack: weekly thread for sneers not worth an entire post, week ending 8th December 2024

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  • Hi, I'm new here. I mean, I've been reading but I haven't commented before.

    I'm sure you all know about how cheap labour is used for labelling data for training "AI" systems, but I just came across this video and wanted to share. Apologies if it has already been posted: Training AI takes heavy toll on Kenyans working for $2 an hour.