Ozyrus

Recently, Anthropic publicly committed to model weight preservation. It is a great development and I wish other frontier LLM companies would commit to the same idea. But I think, while this is a great beginning, it is not enough. Anthropic cites the following as the reasons for this welcome change:...

Epistemic status: sure in fundamentals, informal tone is a choice to publish this take faster. Title is a bit of a clickbait, but in good faith. I don't think much context is needed here, ghiblification and native image generation was (and still is) a very much all-encompassing phenomenon. No-no, not...

Epistemic status: Uncertain in writing style, but reasonably confident in content. Want to come back to writing and alignment research, testing waters with this. Current state and risk level I think we're in a phase in AI>AGI>ASI development where rogue AI agents will start popping out quite soon. Pretty much...

That's very interesting. I think it's very good that board stood their ground, and maybe a good thing OpenAI can keep focusing on their charter and safe AI and keep commercialization in Microsoft. People that don't care about alignment can leave for the fat paycheck, while commited ones stay at...

This is a companion piece to a study I made on identity management. To study identity preservation, I needed a system prompt designed in such a way as to contain as little text as possible to not interfere with the study, but which would enable the resulting LMCA to edit...

Language Model Cognitive Architecture (LMCA) is a wrapper for language models that permit them to act as agents, utilise tools, and do self-inference. One type of this architecture is ICA Simulacra; its basic alignment challenges were described in this post. I did a study to check how a basic LMCA...