Within just one year, algorithms may make a discovery worthy of a Nobel Prize. This prediction was made by Jack Clark, co-founder of Anthropic, known for its Claude models. However, behind this optimistic forecast lies an alarming signal: the pace of artificial intelligence development has gotten out of control, and humanity risks facing unpredictable consequences.
A Technological Race Without Rules
In a lecture at Oxford University, Clark did not resort to euphemisms. He stated outright that there are scenarios in which AI could lead to the extinction of the entire human population. The risk is not zero, and it cannot be ignored. The problem is exacerbated by the fact that technological development is driven by global competition. Geopolitical ambitions and commercial interests compel states and corporations to relegate safety concerns to the background, striving to outpace their rivals.
The Safety Paradox
Clark acknowledges that slowing down this race is practically impossible. The multitude of players in the market makes a halt unlikely, even if it is necessary for the survival of the species. The situation resembles the COVID-19 pandemic: humanity was unprepared for the speed at which the threat spread. According to the expert, many are still in a state of denial, failing to realize that AI will soon surpass the collective intelligence of all humans combined.
Cognitive Atrophy and the Future of Thinking
The dangers are not limited to physical extinction but also include the degradation of human intelligence. Professor Edward Harkort, Director of the Institute for AI Ethics, warns of the risk of "cognitive atrophy." Widespread delegation of tasks to algorithms could lead to the loss of analytical abilities and judgment skills. In response, experts propose developing "Socratic AI" — systems that do not simply provide answers but stimulate critical thinking in users.
Economy Versus Ethics
Critics of major players such as Anthropic, OpenAI, and Google point to the danger of creating a "single point of failure" in global infrastructure. Dependence on a few dominant models makes the world vulnerable. Jack Clark, whose company was founded by researchers who left OpenAI due to safety disputes, insists: even cautious forecasts indicate a fundamental shift in the economy and society. A divide is coming between human activity and automated systems, and our future depends on how we prepare for this transition.