Jon Shaffer

@jonshaffer.bsky.social

Assistant Professor of Sociology @UVM | STS | Med Soc | Social Movements | Previously Post-doc @BermanInstitute, Partners In Health

Personal Website: https://www.jonathanshaffer.net

@victorerikray.bsky.socialReposted by @jonshaffer.bsky.social

Harvard, that supposed bastion of liberal higher education that has drawn the wrath of the Trump administration, is invested in Musk's fascism.

Lora Kolodny@lorak.bsky.social

“The return was powered by a $2.2 billion stake in SpaceX that Harvard revealed in a regulatory filing in the second quarter.” www.cnbc.com/2026/10/15/h...

cnbc.comHarvard’s endowment jumps 27% in fiscal 2026, lifted by SpaceX as top holdingThe latest 12-month period marked the strongest return for the university's fund since 2021.
@alisabokulich.bsky.socialReposted by @jonshaffer.bsky.social

"Measurement on the Color Line: Scientific Instruments & Making of Human Categories"
curated by Evelynn Hammonds "traces development of present-day notions of race thru sciences, measurements, & data that produced them" @ Collection of Historical Scientific Instruments @harvardmuseums
#HPS 🧪 🗃️

New Exhibition Friday, October 16, 2026-August 15, 2027 Measurement on the Color Line: Scientific Instruments and the Making of Human Categories Collection of Historical Scientific Instruments, Special Exhibition Gallery Ideas about racial categories and racial differences have been created and sustained through scientific, biological, anthropological, and medical practices. Measurement on the Color Line traces the development of present-day notions of race through the sciences, measurements, and data that produced
@abeba.blacksky.appReposted by @jonshaffer.bsky.social

"Releasing over 700 files at once is not a demonstration of scholarship, but a demonstration of power. We urge mathematicians to discontinue their work with OpenAI and to return to a vision of science that centers human understanding." www.ahmath.org/statements

AHM Statement on OpenAI’s October 6 Release of Mathematical Documents Yesterday, on October 6th, 2026, OpenAI – which is currently defending lawsuits against accusations of illegal plagiarism, copyright infringement, and trademark dilution – released a repository of manuscripts purporting to contain solutions to a number of high-profile problems in mathematics. Mathematicians did not ask for this work to be done. The Advisory Group on Mathematics and Artificial Intelligence, from whom OpenAI has claimed to derive its legitimacy, opened their initial advisory statement by saying that frontier AI corporations should not test advanced mathematical problems on internal models. In ignoring the central premise of the Advisory Group’s position, OpenAI has indicated total disregard for the norms of scientific research — norms that guarantee that mathematics remains trustworthy, ethically researched, and in the public interest. Mathematicians have a particular vision of progress that is informed by history and field-specific considerations. We reject OpenAI's assertion that this release advances our subject, and we urge mathematicians and the public to view the value of this publication model with due skepticism. Releasing over 700 files at once is not a demonstration of scholarship, but a demonstration of power. We urge mathematicians to discontinue their work with OpenAI and to return to a vision of science that centers human understanding. Association for Human Mathematics Communications Working Group
@tyleraking.comReposted by @jonshaffer.bsky.social

Parking: $50/month Lunch: $75/month Gas: $80/month Claude tokens: $1,000/month Please someone help me budget this my chatbot girlfriend is starving

@justinhendrix.bsky.socialReposted by @jonshaffer.bsky.social

“Hype is eating the future, and leaving us the bones.” Sun-ha Hong of UNC-Chapel Hill says the Silicon Valley hype machine systematically “borrows credibility from the future to purchase legitimacy in the present.” The cost, he argues, is a planetary-scale drain on our alternatives.

@jonshaffer.bsky.social

Clinical trials evaluating LLM interventions in medicine show "...modest adherence to established reporting guidelines, with persistent underreporting of LLM specific methodological details, reproducibility artefacts (protocols, data, code), and harms reporting".

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