Why a decade of doomsday warnings failed to slow the AI race

Over the past decade, concerns surrounding the potential dangers of artificial intelligence have increased, despite a lack of substantial evidence to support these claims. AI researchers and tech leaders have repeatedly sounded the alarm about the risks associated with the development of superintelligent AI, warning that it could lead to human extinction. In 2014, Stephen Hawking cautioned that AI "could spell the end of the human race," echoing these concerns among AI and tech professionals.

Initially, generative AI was still in its infancy, and the idea of AI becoming super intelligent and taking over the world seemed like a hypothetical scenario to the public. Every few years, teams of researchers and tech executives would issue warnings about the dangers of AI built irresponsibly. However, instead of calling for a halt to development, some researchers would break away to form new AI companies.

In 2015, tech leaders and scientists including Elon Musk and Sam Altman co-founded OpenAI, a non-profit dedicated to advancing digital intelligence in a way that benefits humanity. OpenAI's mission was to "advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return."

However, priorities within OpenAI began to shift away from safety in 2021, with several employees focused on AI ethics and alignment leaving the company to create Anthropic, another AI safety-focused firm. Both Anthropic and OpenAI face immense pressure from investors to turn a profit quickly, and many claim that meaningful investment in security protocols is often sacrificed in the process.

The internal conflicts among these companies have intensified the race to build AI at a larger and larger scale. Despite the lack of clear evidence linking AI development to potential doomsday scenarios, the specter of AI taking over the world continues to cast a long shadow over the technology's development.