Artificial intelligence has ceased to be a scientific curiosity to become an essential part of our routines. It is no longer a limited tool to research centers or technology companies; Now anyone can use AI to write emails, clean the house or even make basic medical decisions.
In the midst of this expansion, Some scientists have turned on the alarms, because we could be just six months after reaching the dreaded technological singularitya point of no return in the development of general artificial intelligence.
In fact, Ray Kurzweil, one of the most influential computer scientists and futurists, already warned that this could happen in his book The Singularity is Nearerwhere he reaffirms his prediction that singularity is getting closer.
Are we on the verge of technological uniqueness?
This concept, previously reserved for science fiction and academic debate, refers to the moment when artificial intelligence reaches, and possibly exceeds human intelligence.
According to new estimates disseminated by outstanding figures of the sector, such as Dario Amodei, CEO of Anthropic and Openai’s former member, that moment is much closer to what was believed.
Image generated with AI
«Obviously, many are skeptical that a powerful the Aia is soon built, and some doubt that it will ever be built. I think I could arrive in 2026, although it could also take much more«Dario Amodei wrote in his personal blog. The statement has generated intense discussion in the scientific and technological environment.
And, in fact, a study published in AIMultiple Research It includes the opinion of more than 8,500 experts reflects that, although many place the arrival of the singularity between 2040 and 2060, there is a growing tendency to think that this moment will be advanced thanks to the rapid advance of the Large Language Models (LLM).
These language models, such as those used by tools such as chatgpt or claude, pThey ermit to the learning and adapt with an unprecedented speed.
And it is that the development of these models does not follow a linear rhythm, but exponential. Each new version improves considerably with respect to the previous one, incorporating more complex capabilities, from reasoning with logic to creating code or solving real -time problems.
To this is added the growth of global digital infrastructure, with more powerful data centers, more efficient chips and an increasing amount of data. All this feeds the accelerated growth of AI.
Moore’s law, which establishes that the computers’ processing capacity doubles approximately every 18 months, continues to be fulfilled, and if we apply it to the AI field, the immediate future seems even more uncertain.
Therefore, while some experts ask for caution and solid legal frames, others claim that it is best to adapt as soon as possible to the new reality. There are already initiatives to implement in key sectors such as education, medicine or public administration, and governments begin to assess stricter regulations for use.
However, the rhythm that technology advances exceeds the institutional response speed.
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Tags: Artificial intelligence