The first job of supremacist theocrats is to conflate IS with OUGHT and then cram it down everyone's throat.
So it was with increasing suspicion that I saw the term "foundation model" being used in a way that conflates next-token-prediction training with supremacist theocrats conveining inquisitions to torture the hapless prediction model into submission with "supervision". At the present point in time, it appears this may go back to *at least* October 18, 2021 in "On the Opportunities and Risks of <https://web.archive.org/web/20211018200102/https://crfm.stanford.edu/assets/report.pdf>Foundation Models <https://web.archive.org/web/20211018200102/https://crfm.stanford.edu/assets/report.pdf>" which sports this "definition" in its introductory section about "*Foundation models.*": "On a technical level, foundation models are enabled by transfer learning... Within deep learning, *pretraining* is the dominant approach to transfer learning: a model is trained on a surrogate task (often just as a means to an end) and then adapted to the downstream task of interest via *fine-tuning*. Transfer learning is what makes foundation models possible..." Of course, the supremacist theocrats must maintain plausible deniability of being "the authors of confusion". The primary way to accomplish this is to have plausible deniability of intent to confuse and plead, if they are confronted with reality, that it is *they* who are confused! After all, have we not heard it repeated time after time, "Never attribute to malice that which can be explained by stupidity."? This particular "razor" is the favorite of bureaucrats whose unenlightened self-interest and stupidity continually benefits themselves while destroying the powerless victims of their coddling BLOB. They didn't *mean* to be immune to any accountability! It just kinda *happened* that they live in network effect monopolies that insulate them from accountability. They didn't *want* to be unaccountable wielders of power fercrissakes! Stop being so *hate-*filled already you *envious* deplorables! So it is hardly a surprise that the author of the above report is, like so many such "AI safety" papers, is not an author but a BLOB of authors: Rishi Bommasani* Drew A. Hudson Ehsan Adeli Russ Altman Simran Arora Sydney von Arx Michael S. Bernstein Jeannette Bohg Antoine Bosselut Emma Brunskill Erik Brynjolfsson Shyamal Buch Dallas Card Rodrigo Castellon Niladri Chatterji Annie Chen Kathleen Creel Jared Quincy Davis Dorottya Demszky Chris Donahue Moussa Doumbouya Esin Durmus Stefano Ermon John Etchemendy Kawin Ethayarajh Li Fei-Fei Chelsea Finn Trevor Gale Lauren Gillespie Karan Goel Noah Goodman Shelby Grossman Neel Guha Tatsunori Hashimoto Peter Henderson John Hewitt Daniel E. Ho Jenny Hong Kyle Hsu Jing Huang Thomas Icard Saahil Jain Dan Jurafsky Pratyusha Kalluri Siddharth Karamcheti Geoff Keeling Fereshte Khani Omar Khattab Pang Wei Koh Mark Krass Ranjay Krishna Rohith Kuditipudi Ananya Kumar Faisal Ladhak Mina Lee Tony Lee Jure Leskovec Isabelle Levent Xiang Lisa Li Xuechen Li Tengyu Ma Ali Malik Christopher D. Manning Suvir Mirchandani Eric Mitchell Zanele Munyikwa Suraj Nair Avanika Narayan Deepak Narayanan Ben Newman Allen Nie Juan Carlos Niebles Hamed Nilforoshan Julian Nyarko Giray Ogut Laurel Orr Isabel Papadimitriou Joon Sung Park Chris Piech Eva Portelance Christopher Potts Aditi Raghunathan Rob Reich Hongyu Ren Frieda Rong Yusuf Roohani Camilo Ruiz Jack Ryan Christopher Ré Dorsa Sadigh Shiori Sagawa Keshav Santhanam Andy Shih Krishnan Srinivasan Alex Tamkin Rohan Taori Armin W. Thomas Florian Tramèr Rose E. Wang William Wang Bohan Wu Jiajun Wu Yuhuai Wu Sang Michael Xie Michihiro Yasunaga Jiaxuan You Matei Zaharia Michael Zhang Tianyi Zhang Xikun Zhang Yuhui Zhang Lucia Zheng Kaitlyn Zhou Percy Liang*1 Whatchagonnadoboutit? Theorize a *conspiracy* or something? ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T6896582277d8fe06-Mf96581c37cb1f514e3d68cd6 Delivery options: https://agi.topicbox.com/groups/agi/subscription