If possible mind-space is vast, we should assume the same applies to consciousness-space

Model stitching, used in AI safety for transferring features between models, may destroy the very capabilities it's designed to preserve according to new research.

Explores the potentially catastrophic risks when AI systems optimize for outputs rather than underlying processes, drawing parallels to human systems failure.

Anthropic has updated its usage policy to prohibit sustained abusive behavior toward its models, highlighting growing industry focus on 'model welfare' as an emerging ethical frontier.

Epoch AI's InnovationEval benchmark shows frontier AI models struggle to independently discover novel ML innovations comparable to human researchers despite extensive compute investment.

LLMs at temperature 0 aren't deterministic due to floating-point arithmetic non-associativity and batch-invariant kernels, causing token selection to vary based on server load.