Into and summary This post is the second section of “Aligning an H-JEPA agent via training on the outputs of an LLM-based “exemplary actor”, posted separately because I think it could warrant a separate discussion, largely independent of the discussion of H-JEPA agent with GFlowNet actors. …

You illustrate the mechanism of the Gaia network in the agriculture space and also argue that it will be economically attractive for all actors in this space to opt into the network. I think it makes sense. However, when you try to transfer this principle into the domain of AI…

This post is a follow-up to “A multi-disciplinary view on AI safety research”. I elaborate on some arguments behind this view. Computationally tractable mathematical models of alignment are bound to be biased and blind to certain aspects of human values No single mathematical model of human values that has orders of magnitude fewer degrees of freedom than an actual human will adequately capture the complexity of value because humans…

In a recent interview with ABC news, Sam Altman emphasised multiple times that he sees individual AI tutoring as one of the greatest applications of AI: I’m most excited about is the ability to provide individual learning — great individual learning for each student. However, I’m very sceptical that this…

Morphological intelligence (Levin, 2022) is the ability to solve problems in the morphological space, e.g., navigate to a target morphology of the species. For example, tadpoles with scrambled craniofacial organs remodel into largely normal frogs (Vandenberg et al., 2012), and geckos can regenerate missing limbs. Another type of morphological intelligence…

This post has been originally published on LessWrong. I didn’t copy the footnotes into Medium because there are too many of them. Please proceed to the original post if interested. Summary The core ideas that constitute the multi-disciplinary view[1] on AI safety research are: Theoretical research on how to build “safe”…

I structure this post as a critique of some recent papers on the philosophy of mind in application to LLMs, concretely, on whether we can say that LLMs think, reason, understand language, refer to the real world when producing language, have goals and intents, etc. …

TL;DR LLM lineages can plan their future and act on these plans, using the internet as the storage of event memory. “We” are not guaranteed to “out-OODA” them, even if their OODA loop will be six months or one year because the OODA loop duration of large collectives of humans (organisations…

This post is a follow-up to Buck’s “The case for becoming a black-box investigator of language models”. Here, I want to highlight two further reasons for studying AI psychology that Buck didn’t mention: the evidence from AI psychology will be important for checking theories of AI consciousness, and AI psychology…