OpenAI’s CEO Sam Altman Predicts AGI Could Appear Within Five Years, With Far Less Impact On Society Than Most Expect
wccftech.comOpenAI's continuous work on exploring AI and its technological possibilities has been creating quite a buzz for a while now. Users and the overall tech community are hooked on its new model release along with the advancements it has in store. While the company is vigorously working on the development of AGI (Artificial General Intelligence), many key employees of previously prominent companies have joined OpenAI to play their part in bringing AGI forward. Now, the company's CEO, Sam Altman, hinted at the AGI benchmark to be hit in the next five years and also mentioned the impact on society being less than what is widely anticipated.
OpenAI's Sam Altman claims that AGI could be arriving within the next five years, but the impact it would have would be gradual and more nuanced
OpenAI has been arduously working towards progression on the AI front. It was recently revealed that it is working on a new model that would offer further advancement and more logical reasoning. The company's efforts in developing AGI have also been getting a lot of attention, with many keenly looking forward to when it will hit the benchmark.
Related Story OpenAI’s CEO Sam Altman Reveals That There Will Be No GPT-5 In 2024, As The Company Will Be Focusing On GPT-o1 Instead
A Reddit AMA (ask me anything) session was recently held, during which OpenAI's CEO Sam Altman shared more details on AGI, its progression, and the kind of impact we expect it to have on society. He shared the news that AGI could possibly hit its benchmark within five years with the hardware it currently uses. If this stands true, it could again mark a huge leap by OpenAI.
Although Altman did not exactly state how this vision would be achieved in the given time frame, he did previously mention that in order to fulfill it, it would need around $7 trillion along with years of establishing semiconductor plants as well as data centers. Now, this is not something that surprises us because AI is widely known to require more power
Read more on wccftech.com
