SFC Announces Aspirational Statement on LLM-backed generative AI for Programming
Assieme a Software Freedom Conservancy abbiamo annunciato qualche giorno fa un "aspirational statement", su come dovrebbe essere un assistente alla programmazione basato su AI, in un mondo tecnologico ideale nel quale tutto il software dovrebbe essere libero. Per cercare, ogni tanto, di guardare alla luna! Buona lettura. https://sfconservancy.org/news/2024/oct/25/aspirational-on-llm-generative-ai... -------- SFC Announces Aspirational Statement on LLM-backed generative AI for Programming October 25, 2024 In 2022, Software Freedom Conservancy (SFC) convened a committee in the wake of Microsoft's GitHub Copilot announcement, to meet and begin considering the complex questions that arise from the use of large language models (LLMs) in generative AI systems that seek to assist software developers. Today, we announce a joint statement by this committee, entitled Machine-Learning-Assisted Programming that Respects User Freedom. Everyone on our committee has watched as interest in this issue has grown in the FOSS community. While the Committee was initially convened to consider how copyleft related to these systems, our focus changed as we considered the complex issues. With the unending influx of models, products, and projects in this area, we began to see a potential dystopia: no systems available today are reproducible by the public, and all of them seem to disrespect user rights and freedoms in some manner. Rather than despair, we turned our minds to what FOSS does best: imagining the ideal if corporate interests were not the primary force defining society's relationship with software. In the past, the FOSS community has responded to new challenges with a race-to-the-bottom document that defines the bare minimum of user rights and freedoms that the community of activists will accept. For-profit companies hope to legitimately claim whatever they produce is “FOSS enough”. As such, we have avoided any process that effectively auto-endorses the problematic practices of companies whose proprietary products are already widely deployed . No system, particularly a proprietary one, should ever be "too big to fail". While our proposal may seem unrealistic, nearly every proposal in the history of FOSS has seemed unrealistic — until it happened. We call on the FOSS community to not lament what is, but to dream and strive for what can be. The statement follows: Continua qua: https://sfconservancy.org/news/2024/oct/25/aspirational-on-llm-generative-ai... -- Stefano Zacchiroli . zack@upsilon.cc . https://upsilon.cc/zack _. ^ ._ Full professor of Computer Science o o o \/|V|\/ Télécom Paris, Polytechnic Institute of Paris o o o </> <\> Co-founder & CSO Software Heritage o o o o /\|^|/\ Mastodon: https://mastodon.xyz/@zacchiro '" V "'
Ciao Stefano, aspirazioni assolutamente condivisibili! Ne riporto i punti essenziali: 1. The system is built using only FOSS, and is used only for the creation of FOSS, and never for proprietary software. In this manner, the system would propagate and improve interest in software freedom and rights. 2. The system must respect the principle of “FOSS in, FOSS out, and FOSS throughout”. In detail, this means: a. All software and generally useful technical information (including but not limited to: user interface code and applications for generating new material from the model, data cleaning code, model architecture, hyper parameters, model weights, and the model itself) needed to create the system are freely available to the public under a FOSS license. b. All training data should be fully identified, and available freely and publicly on the Internet, under a FOSS license. 3. The system will aid the user in adding necessary licensing notices and determining any licensing requirements2 of the output.
Per cercare, ogni tanto, di guardare alla luna!
Già, che bella la luna... :-) È un vero peccato che la nuova definizione di Open Source AI promulgata dalla Open Source Initiative sotterri tali aspirazioni. Infatti, se una black box programmata a partire da dati proprietari e inaccessibili può passare per "open source AI", allora quelle black box potranno essere sia input che l'output delle vostre aspirazioni Così grazie all'OSI e a coloro che supportano la OSAID [1] FOSS in, FOSS out, and FOSS throughout diventa, in realtà, blackbox in, black box out, and blackbox throughout Beh... che dire... un successo! Giacomo [1] https://opensource.org/ai/endorsements
participants (2)
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Giacomo Tesio -
Stefano Zacchiroli