A Natural AI Based on The Science of Computational Physics, Biology and Neuroscience: Policy and Societal Significance

Findings and contributions

• The letter argues that current LLMs and Transformer models are 'corpus bound', with parameter-setting criteria hidden in an undecipherable stochastic black box.
• The signatories argue that research in computational neuroscience, biology and physics supports a more nuanced and positive narrative of intelligence than AGI/existential-threat narratives.
• The letter contends AI need not be monolithic or concentrated in Big Tech to be commercialized and regulated, anticipating distributed, biologically grounded intelligences on mobile devices.
• The signatories call for a science-based understanding of AI's biological foundations to be given public voice and for interdisciplinary public workshops among legislators, regulators and other stakeholders.