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Kimi K3 LLM parameters compared to human neocortex

The capabilities of Large Language Models (LLMs) are impressive, especially when compared to the human neocortex. While the human neocortex contains approximately 164 trillion synaptic connections, the Kimi K3 model reportedly has 2.8 trillion parameters. This comparison raises questions about the proportion of the neocortex's synaptic connections dedicated to language processing and reasoning. AI

IMPACT Highlights the scale of LLM parameters in comparison to biological intelligence, prompting thought on AI's potential.

RANK_REASON The item discusses a comparison between an LLM's parameters and the human neocortex, offering an opinion on LLM capabilities rather than announcing a new release or research finding.

Read on Mastodon — fosstodon.org →

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Kimi K3 LLM parameters compared to human neocortex

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    It is pretty amazing what LLMs can do, considering that the human neocortex has an estimated 164 trillion synaptic connections, while Kimi K3 reportedly has 2.8

    It is pretty amazing what LLMs can do, considering that the human neocortex has an estimated 164 trillion synaptic connections, while Kimi K3 reportedly has 2.8 trillion parameters. I wonder what proportion of the synaptic connections in neocortex is involved in language processi…