| Website: | https://shimmering-skull-0c5.notion.site/Henry-s-Website-1231660cf5d74473ab532d355a6b5b81 |
| Interests | Cybernetics, Economic Planning, Low Tech, Philosophy |
| Location | Phoenix, AZ |
I recently created a website for my organization: The Students and Faculty for Democratizing ASU
I wrote a critique of ASU President Michael Crow's model of the "New American University." It is inspired by Hal Draper's polemic, "The Mind of Clark Kerr."
https://shimmering-skull-0c5.notion.site/The-Mind-of-Michael-Crow-203e4e0d6271805fb5bcf6d7a5403acd
If the teaser provided by #jacobin is any indication, then this is something organizers in the United States definitely want to make time to read.
jacobin.com/2025/04/melenchon-virtue-universalism-humanity-creolization
Also, Re: tenforward.social/@aspensmonster/114397702094429061
#socialism #communism #marxism
(comment on Now, the People!)
Contemporary industrial society is now characterised more than ever by the need for stupefying work where it is no longer a real necessity.
-- Herbert Marcuse
Most #LLMs over-generalized scientific results beyond the original articles
...even when explicitly prompted for accuracy!
The #AI was 5x worse than humans, on average!
Newer models were the worst.🤦♂️
🔓 Accepted in #RoyalSociety Open #Science: https://doi.org/10.48550/arXiv.2504.00025
Artificial intelligence chatbots driven by large language models (LLMs) have the potential to increase public science literacy and support scientific research, as they can quickly summarize complex scientific information in accessible terms. However, when summarizing scientific texts, LLMs may omit details that limit the scope of research conclusions, leading to generalizations of results broader than warranted by the original study. We tested 10 prominent LLMs, including ChatGPT-4o, ChatGPT-4.5, DeepSeek, LLaMA 3.3 70B, and Claude 3.7 Sonnet, comparing 4900 LLM-generated summaries to their original scientific texts. Even when explicitly prompted for accuracy, most LLMs produced broader generalizations of scientific results than those in the original texts, with DeepSeek, ChatGPT-4o, and LLaMA 3.3 70B overgeneralizing in 26 to 73% of cases. In a direct comparison of LLM-generated and human-authored science summaries, LLM summaries were nearly five times more likely to contain broad generalizations (OR = 4.85, 95% CI [3.06, 7.70]). Notably, newer models tended to perform worse in generalization accuracy than earlier ones. Our results indicate a strong bias in many widely used LLMs towards overgeneralizing scientific conclusions, posing a significant risk of large-scale misinterpretations of research findings. We highlight potential mitigation strategies, including lowering LLM temperature settings and benchmarking LLMs for generalization accuracy.
This is just so damn good.
Vivek Chibber gives so many great insights, hot takes, and clear critiques of the contemporary Left's failures and what it means.
#Left #NewLeft #academia #socialism #politics #history #class #ClassTourism #capitalsim #marxism #VivekChibber
Preston Maness
Anarchist Quotes
Nick Byrd, Ph.D.
Tucker Teague