Last updated on February 12, 2026 by Editorial Team
Author(s): kapardhi kannekanti
Originally published on Towards AI.
The fundamental flaw in modern AI architecture, and biological “hacks” to solve it.
We are currently seeing massive misallocation of capital in Silicon Valley and beyond. We’re spending billions of dollars to create big “sculptures” – massive, frozen models that know everything but can do nothing in the real world without being constantly connected to a giant server farm.
The article discusses the limitations of the architectural design of modern AI, arguing for a shift from static models toward adaptive, fluid intelligence similar to biological systems. This highlights the need for AI systems to evolve, respond dynamically to their environments, and employ strategies such as competitive plasticity to enhance real-world applications. By integrating concepts from neuroscience, the author advocates an engineering approach that prioritizes flexibility and efficiency, ultimately aiming to transcend the GPU-dominated era of AI development.
Read the entire blog for free on Medium.
Published via Towards AI
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Comment: The content represents the views of the contributing authors and not those of AI.
