When AI surpasses the intelligence of humans, that is called the singularity. It is a moment that could be happen a few years hence. Bew Goertzel, CEO of SingularityNET believes AGI is some 3-8 years away. AGI means that AI and human intelligence match each other. The result is AI can perform tasks as well as humans.
It is for you to believe him or not. However, it is true that there is no let up in having AI better. All LLMs are pushing hard towards the growth of AI.
More resources and more talents will be deployed to work on AI. As we know, the concept emerged to facilitate the military in the 1950s. Later, the concept has been driven towards a variety of goals. It is useful to the corporates as well as the creative people such as artists or musicians.
It is true that a big leap is necessary to take it from the current position of AI to a singularity. At present, AI is meant for specific tasks. AGI is that push which makes AI understand the world as humans do and hone in its abilities. It is an issue of broadening the understanding of the world. The more AI does so, the closer it goes to AGI and AGI is just one step short of singularity.
Some experts still believe that the technology is far far away. However, the quest is going on. It is just a matter of time.
Sam Altman compares AGI to the ‘magic intelligence in the sky’ for which there is a journey from the earth in a hype-fuelled rocket by companies such as OpenAI. If the rocket reaches the destination, its six members Board will declare that the company has reached singularity. The six members are President Greg Brockman, Chief Scientist Ilya Sutskever, Quora CEO Adam D’Angelo, tech entrepreneur Tasha MaCauley, wife of actor Joseph Gordon-Levitt, professional thinker Helen Toner.
Most of these people believe in altruism — earn money and donate it for good causes.
GPTs have not been invented by OpenAI, but by Google in 2017. OpenAI, however, is consumer friendly. It has released the technology to the public to interface just like a friend. Whether AGI will originate from OpenAI is not certain. Investment flows into the company, but that may not be enough. Between here and AGI, there is a lot of compute, and lot of expenses. All this may not enough to realise the dream of AGI. There could be an upper technical limit on the capabilities of GPTs. The current position is build more capable models, and figure out what they are good for. The business potential of AGI is vast. It can create too much wealth which can be redistributed to the needy.