2026-03-24 00:34 UTC
Replies (17)
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@User47@vmst.io 2026-03-24 14:56
@seachanger@alaskan.social hi. Just a small thing but the Anthropic lawsuit on training against author works is an excellent example https://apnews.com/article/anthropic-copyright-authors-settlement-training-f294266bc79a16ec90d2ddccdf435164
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@darby3@zirk.us 2026-03-24 00:53
@seachanger@alaskan.social I probably do here but would need to do some cross referencing I can’t do at the moment https://ai-sucks-actually.fyi/
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@cafechatnoir@mastodon.social 2026-03-24 01:04
@seachanger@alaskan.social MIT recently released a study on the long term cognitive effects of AI use. (Spoiler: they're not good effects.) https://publichealthpolicyjournal.com/mit-study-finds-artificial-intelligence-use-reprograms-the-brain-leading-to-cognitive-decline/
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@EdCates@mastodon.social 2026-03-24 01:20
@seachanger@alaskan.social #10. https://vcresearch.berkeley.edu/news/does-ai-actually-free-workers-time
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@arod@social.coop 2026-03-24 01:21
@seachanger@alaskan.social this is a great resource, I think you will find some sources here: https://libguides.amherst.edu/genAI/ethics
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@EdCates@mastodon.social 2026-03-24 01:27
@seachanger@alaskan.social #6. Which links to the Standford report it discusses. https://www.kiteworks.com/cybersecurity-risk-management/ai-data-privacy-risks-stanford-index-report-2025/ Anecdotally, even though Kagi Translate has instructions to not divulge its prompt with anyone, people are easily able to get it to do so by asking it to create or show the output of programs that do exactly that. I can dig up those examples if you want.
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@integerdisarray@lethallava.land 2026-03-24 02:51
@seachanger@alaskan.social Here's one potential reason: a recent meta-analysis concluded that the general public is terrified of AI and has near-zero trust in AI products https://onlinelibrary.wiley.com/doi/10.1002/cb.70144?af=R
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@tootbrute@fedi.arkadi.one 2026-03-24 04:06
@seachanger@alaskan.social don't they have an "AI IS GOING GREAT" website? https://www.web3isgoinggreat.com/ like they had for crypto shit.
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@thankfulmachine@oldbytes.space 2026-03-24 05:09
@seachanger@alaskan.social https://www.media.mit.edu/projects/your-brain-on-chatgpt/overview/
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@thankfulmachine@oldbytes.space 2026-03-24 05:28
@seachanger@alaskan.social https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/
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@kdwarn@social.coop 2026-03-24 05:59
@seachanger@alaskan.social been collecting news articles here: https://kdwarn.net/programming/links#AI%20Sucks
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@girlbandgeek@mastodon.social 2026-03-24 06:41
@seachanger@alaskan.social @janeishly@beige.party I really like what you're doing here. You may want to add that there is little transparency around the training data. Many models are trained on data that contains harmful biases and prejudices against BIPOC, LGBT+ people, etc. Also may involve exploitation of labor in undeveloped countries to assist with training. Good luck with getting a strong policy approved 👊
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@teun@kolektiva.social 2026-03-24 06:52
@seachanger@alaskan.social Here's some sources, good luck! #2: - https://www.rollingstone.com/culture/culture-features/ai-spiritual-delusions-destroying-human-relationships-1235330175/ #3: - https://doi.org/10.1016/j.patter.2025.101430 - https://www.theguardian.com/australia-news/2026/mar/13/ai-datacentres-environmental-impacts #5: - https://www.theatlantic.com/technology/archive/2025/03/libgen-meta-openai/682093/ - https://arxiv.org/abs/2502.16487 #7: - https://www.nature.com/articles/s44271-026-00428-5 - https://www.currentaffairs.org/news/ai-is-destroying-the-university-and-learning-itself - https://doi.org/10.5281/ZENODO.17065098 - https://berlinergazette.de/unlearning-quantification-the-cruel-optimism-of-ai-in-education/ - https://theconversation.com/university-students-feel-anxious-confused-and-distrustful-about-ai-in-the-classroom-and-among-their-peers-258665 #10: - https://arxiv.org/abs/2507.09089 (This study did not exactly find what point 10 states. It simply found that productivity actually went down when using AI, while perceived productivity went up. So people were not doing more work, they were doing less while thinking they were doing more.) #11: - https://osf.io/jqxb6_v1 (makes the point that AI technologies are designed in a way to displace and dehumanize women) - https://arxiv.org/abs/2305.04388 (racism) - https://doi.org/10.1038/s41586-024-07856-5 (racism)
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@StOnSoftware@mastodon.social 2026-03-24 07:09
@seachanger@alaskan.social you miss the bias in training these models
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@KarlHeinzHasliP@climatejustice.social 2026-03-24 07:25
@seachanger@alaskan.social lol, tbh, I think the way here is to have chat-GPT hallucinate sources, provide those and let the board figure out that you just gave them another reason...
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@penguinrebellion@tldr.nettime.org 2026-03-24 10:47
@seachanger@alaskan.social In addition to what others have said, for #2: AI Mental Health Project
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@danwwilson@rstats.me 2026-03-25 04:42
@seachanger@alaskan.social @IrrationalMethod@social.coop I think it’s a great idea and if you’re permitted to share the final policy would love to see it. I work in the NFP space in Australia and know orgs here need help with policies on this front.