What does Heidegger think about LLMs

Martin Heidegger did not specifically discuss 'LLMs' since his time predates the development of modern Large Language Models. However, we can relate his philosophy to modern technology perspectives.

In his critique of modernity, Heidegger emphasizes the difference between 'thinking' and 'calculating'. Heidegger argues that modern society often falls into the latter, where people engage in mechanical or programmatic tasks without truly 'thinking'. For instance, an app developer who spends their day programming might consider themselves engaged in thought, but to Heidegger, this is merely calculation, not genuine contemplation or understanding 1 .

Heidegger warns that such calculative thinking, if unchecked, could become the sole mode of thinking, especially with technological advancements. He sees this as a detachment from a deeper engagement with 'Being'. In his view, technology should enhance our understanding of our existence ('Being'), but modern tech often distances us from this deeper understanding 1 .

So, applying Heidegger’s ideas, one could argue he might be critical of LLMs if he perceives them as another form of calculative thinking that potentially detaches users from a more profound and authentic mode of engagement with the world.

The philosophy of artificial intelligence (AI) can be considered through the lens of Martin Heidegger's views on technology and human existence. Heidegger was deeply concerned with the essence and impact of technology on modern society. He feared that technology might restrict human potential and reduce everything to mere resources, thus obscuring deeper meanings of existence 1 2.

1. Technology as a Revealing: Heidegger argues that the essence of technology is not merely mechanical or electronic tools, but a way of revealing the world. This revealing transforms everything into a standing-reserve, an ever-ready resource to be optimized and used. In the context of AI, this could be seen as transforming data and human behavior into resources for algorithms to process and learn from 2.

2. Question of Being: Heidegger's main philosophical enterprise was the question of Being — what it means to be. He believed that technology, including potentially AI, shapes our understanding of Being. AI can be seen as a technological force that shapes how we interact with the world, how we see ourselves, and how we construct knowledge. This aligns with Heidegger’s view that our age, being a technological age, fundamentally alters our basic understanding of existence 2.

3. AI and Authenticity: A significant concept in Heidegger's philosophy is authenticity, which involves engaging with our own potentiality for Being without conforming to societal expectations. AI, as an extension of technology, could either support or hinder this pursuit. It might hinder by reinforcing calculative thinking (mere data processing and optimization) over contemplative thought, which is necessary for genuine understanding and meaning-making 3.

4. Transformative Potential: However, AI also has a transformative potential. Heidegger believed that a deeper engagement with technology could help us understand its essence and possibly lead to a more authentic form of existence, one where technology supports genuine understanding rather than obscuring it. In the case of AI, this might involve using AI to enhance human capabilities and foster deeper insights rather than merely replacing human skills 2.

In conclusion, the integration of AI into human life poses questions and challenges that intersect with Heidegger's philosophical critique of technology. The true impact of AI may depend on whether it becomes merely a tool for optimization and efficiency or a means to deepen our understanding of Being and enhance human existence.