Diffusion Model of Traditional Technologies:

Disruptive technologies (such as electricity, computers, and the internet) typically begin with government or military applications, gradually spreading to businesses, and ultimately benefiting individuals, due to the early scarcity of technology, capital intensity, and the need for specialized knowledge.

Disruptive Diffusion of LLMs:

LLMs (such as ChatGPT) are spreading at an astonishing rate, with 400 million weekly active users. Ordinary people use them for writing, coding, translating, researching, etc., greatly enhancing personal capabilities.

The barrier to use is extremely low: free, fast, available anytime, supporting multiple languages and personalized expression, bringing unprecedented technological empowerment to ordinary people.

Reasons Why Individuals Benefit Far More Than Organizations:

Capability Characteristics: LLMs provide a wide but shallow level of quasi-expert knowledge, suitable for individuals to fill professional gaps (such as self-learning coding, understanding legal documents), but for organizations that already have expert teams, they only enhance efficiency without bringing about a qualitative change.

Organizational Complexity: Businesses face complex constraints such as legacy systems, security protocols, and compliance, making the superficiality and potential errors of LLMs (such as hallucinations) difficult to meet high-precision demands.

Organizational Inertia: Cultural factors, bureaucratic tendencies, and training challenges hinder companies from quickly adopting new tools.

Future Outlook and Challenges:

The continued diffusion of LLMs relies on performance improvements. If high-performance models require significant capital investment, businesses and elites may regain an advantage, potentially reducing the benefits for ordinary people.

Currently, the low cost and high availability of LLMs make the distribution of technology exceptionally even, empowering ordinary people like never before.

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