“We’re on AI time,” I now tell people when they try to understand the AI and all associated technologies, the speed of progress.
Although Openi has just been two and a half years, issuing chatting on the world, I have been intimidated for months that in the world of technology, we are no longer working on it. The law of peacock: Every two years, the number of transactions on a chip doubles. This is now an AI model law, which doubles the capabilities of the production model every three months.
Even if you are not convinced that a large language model (LLM) is developing at this pace, the unprecedented speed of adoption cannot be denied.
A new report (or instead of A presentation of a 340 pages) From a common partner in bond investment, Mary Maker paints a clear picture of the nature of AI change and how it is unlike any other tech period.
The maker and his co -authors wrote, “The pace and scope of the evolution of the evolution of artificial intelligence technology are really unmatched, as supported by data.”
Google, what?
In particular, a state stood in front of me: Google took nine years, which reaches 365 billion annual search. Chatgupat reached the same milestone in two years.
The maker’s presentation explains something that I have been trying to describe for a while. It had never been such a time.
I have won through some major tech changes: the rise of personal computing, switch from analog to digital publishing tools, and the online revolution. Most of this change was gradual, though, at that time it felt rapidly.
I first saw the digital publishing tools in the mid -1970s, and it was not long since the mid -1980s that many of us had made a switch, which was also around the time when personal computers began to arrive, though they would not become everywhere for at least another decade.
In my opinion, Ai Ai time of self -reflection leaves a little time.
With the arrival of the public Internet in 1993, most people will be already on the broadband. Knowledge workers did not get up immediately. Instead, there was a slow and steady change in the manpower.
I would say that the internet and its affiliated systems and platforms before becoming an indispensable part of our lives we had a decade of solid adjustments.
I still remember how confused the average person was through the Internet. At the Todd Show in 1994, the hosts literally asked aloud, “What is the Internet?” AI and platforms such as chatagups, copets, cloud AI, and others have not been found with the same level of confusion.
Sign us
The maker’s report notes that Chat GPT users fell from the sky in October 2020 to 400 meters at the end of zero to 2024 and 800 meters in 2025. A shocking 20 million people are paying consumers. It took decades to persuade people to pay any content on the Internet, but AI’s people, people are already open their wallets.
I think the rise of the Internet and everywhere and mobile computing has created us for the AI era. It is not as if the artificial intelligence appears blue. Then again, it did it in a way.
Almost a decade ago, we were surprised in the dark blue of IBM, The first AI to beat the Grandof Master of ChessGary Casparov. Then in 2005 an autonomous car was done after that Complete the DARPA challenge. A decade later, we saw Deep Mind Alfago Beat the world’s best go player.
Some of these progress were shocking, but they were relatively reaching the digestion. Nevertheless, things began to take up in 2016, and various groups began to ring the AI. No one was using the terms of “LLM” or “Generative”. Nevertheless, the concern was such that IBM, Amazon, Facebook, Microsoft, and Google’s Deep Mind formed unconstitutional. Partnership on AI, Which was aimed at tackling opportunities and challenges with AI technologies to benefit people and society. “
They The group still existsThough, I am not sure that anyone is paying attention to his recommendations. In my opinion, Ai Ai time of self -reflection leaves a little time.
Picture 1 Injured 2
In a 2016 Stanford University study about AI in 2030 (is no longer available online) noted that “unlike more amazing predictions about AI in the popular press, the study panel found no reason for the concern that AI is a threat to humanity.”
The maker’s offer, though, offers a speeding picture, which I think, with a warning, raises a cause of concern: predictions come from Chat GPT (which is another major cause of concern).
By 2030, for example, it predicts AI’s full -length movies and ability to make games. I would say that Gemini’s VEO 3 is proof that we are right on our way.
It promises the ability to operate a robot like AI man. I will also include that in my 25 years of covering robotics, I have never seen before, I have accelerated Humanoid Robiotic Development in a way.
It says AI will build and run an independent business.
In 10 years, Chattgat believes that AI will be able to imitate minds like humans.
If we remember that, like most LLM, Chat GPT, Most of its knowledge, sets up its knowledge on the well -known universe, I think we can assume that these predictions, if anything, are unbearable. Even the AI doesn’t know what we do not know.
There was some argument in the office that I had equality wrong. No AI model is the law, right now is Huang’s law (Jensen Huang, for the founder and CEO of Nvidia). This law predicts at least every two years to double the GPU’s performance. Without the power of these processors, AI stalls. Maybe, but I think the power of these models has so far captured the processing power provided by NVIDIA’s GPUS.
Huang is building only for a future in which every individual and business wants GPU -based generative power. This means that we need more processors, more data, and development to manufacture upcoming models. However, the development of the GPU is not a hindrance to the development of the model in real time. Those products are getting faster than silicon development.
If you accept that there is something like AI time and that the AI model law (hack, let’s call it “the law of Al -Anaf) is a real thing, then it is easy to accept the theory of chatting about our coming reality.”
You may not be ready for it, but it’s all coming alike. I wonder what Chat GPT thinks about it.