As a newcomer to the LessWrong community, I've been thoroughly impressed by the depth and rigor of the discussions here. It sets a high standard, one that I hope to meet in my contributions. By way of introduction, my journey into machine learning and AI began in 2014, predating the advent of large language models. My interest pivoted towards blockchain technology as I became increasingly concerned with the centralization that characterizes contemporary AI development.
The non-consensual use of data, privacy breaches, and the escalating complexities and costs of AI development, which exclude the layperson, are issues of significant consequence. Moreover, the lack of transparency and the potential for ingrained biases in AI systems, compounded by the monopolization of the technology's economic benefits by large corporations, necessitate a reevaluation of our approach.
My interests has shifted towards leveraging blockchain's decentralized and immutable framework to construct a more democratic and less biased AI infrastructure. I am dedicated to developing ideas and solutions that ensure AI systems are transparent, auditable, and beneficial on a global scale, free from the constraints of centralized authority. I have been experimenting with various proof of concept in this regard and am eager to discuss these initiatives with like-minded members of this community. I welcome suggestions for resources or ongoing discussions related to the creation of open, decentralized, and safe AI systems.
Really appreciated this intro—your concerns map closely to mine. I’m Joshua; I work at the intersection of decentralized governance, legal advocacy (asset-forfeiture/victim rights), and AI tooling. I’m rebuilding capacity after post-Cushing’s recovery, so I bias toward small, structured discussions and concrete next steps.
A few quick points of alignment + questions:
Data governance / consent — I’m interested in mechanisms that make “consented use” provable and revocable (e.g., per-subject attestations with audit trails). Have you found any workable designs ... (read more)
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