Why Silicon Valley’s Vision of the AI Future Should Worry You
Tech leaders’ beliefs about the future, known as their ‘eschatology,’ are shaping how AI is being developed behind closed doors, argues Liz Bucar.
In Silicon Valley, there exists a shared vision of the future - a future where artificial intelligence surpasses humanity and renders humans obsolete. This perspective is not merely a business strategy, but an overarching belief system or "eschatology," a set of beliefs about where things are heading and what that implies for the present.
Elon Musk, a prominent figure in this ecosystem, has voiced his concerns about this AI-driven future. He believes that AI could lead to human extinction unless we colonize space. His perspective, while unsettling, is consistent with his eschatology.
Another key player is Sam Altman, CEO of OpenAI. Initially, he expressed a doomsday view of AI, believing it could lead to humanity's end. However, his views have evolved, now emphasizing AI as a tool to empower humans and advance science. His current stance is a stark contrast to his earlier eschatology.
Elon Musk's approach, expressed through his legal battles against OpenAI, highlights his fear of AI taking control and potentially leading to human extinction. His eschatology seems to dictate his actions and decisions, as he strives to prevent such an outcome.
Then there's Peter Thiel, who takes this AI eschatology the farthest. He labels AI researchers and climate activists as threats to humanity's future, arguing for unrestricted scientific advancement. His perspective, while provocative, is rooted in his vision of a future governed by tech advancement, unencumbered by cautionary regulations.
These differing eschatologies shape the ethics and actions of these influential figures, leading to a world where AI's potential is pursued without regard for its potential consequences. The future, in their eyes, is not something to be built together, but something they are to build on our behalf.
Written by urgent.news from Time's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.