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Double exponential neuron evolution versus merely exponential Artificial Intelligence (AI): Reconsideration of
Varshith Madishetty1, Lalith Bharadwaj Baru1, S Hussain Ather2
1International Institute of Information Technology, Hyderabad, India.
Bio Systems
|January 22, 2026
Summary
Animals with regulating embryos exhibit exponential growth in cell types over time, unlike mosaic embryos. Recent evolution in regulating animals shows doubly exponential nerve growth, contrasting with mosaic strategies.
Area of Science:
- Developmental Biology
- Evolutionary Biology
- Neuroscience
Background:
- Embryogenesis differs between regulating and mosaic animal types.
- Regulating embryos produce numerous cell types per division, potentially via bioelectric fields.
- Mosaic embryos yield differentiated daughter cells at each division.
Purpose of the Study:
- To analyze evolutionary trends in the number of cell types (NCT) in animals based on embryonic development.
- To investigate the evolutionary trajectory of neuron numbers in regulating animals.
- To compare evolutionary strategies of regulating versus mosaic embryos.
Main Methods:
- Reanalysis of recent biological data.
- Plotting number of cell types (NCT) against geological time.
- Analyzing neuron evolution in adult regulating animals.
Main Results:
- Animals with regulating embryos show exponential increase in NCT over geological time.
- Animals with mosaic embryos display flat or linear NCT growth.
- Neuron count in regulating animals has evolved doubly exponentially.
Conclusions:
- Regulating and mosaic embryonic strategies lead to divergent evolutionary paths in cell type complexity.
- The rapid, exponential increase in cell types and neurons in regulating animals suggests unique evolutionary mechanisms.
- Comparing animal brain evolution to AI development suggests current amalgamation may be premature.
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