I got here throughout a surprising tweet lately. Examine this out:
I take advantage of about ¾ of those each day. (No, I don’t have a Snapchat account!)
But none of them had been round simply 20 years in the past.
It’s exhausting to think about what life will seem like 20 years from now, a lot much less 5 years from now.
One option to clarify the speedy development this century is a precept referred to as Moore’s Legislation.
Within the Nineteen Sixties, Intel’s founder Gordon Moore seen that pc chips might maintain twice as many transistors each two years.
Moore’s Legislation was born out of this remark.
In the present day it has come to imply that computer systems get extra highly effective, smaller and cheaper over time as their components shrink.
Roughly doubling in energy each two years.
Semiconductor firms use this “two-year rule” to plan their work.
They know they should create higher chips each two years or different firms will get forward of them.
And this “two-year rule” has been surprisingly constant.
Check out this chart posted on X by Steve Jurvetson, an early VC investor in Tesla and SpaceX.
It reveals the accuracy of Moore’s Legislation all the way in which again by means of the start of the twentieth century:
In his phrases:
“NOTE: this can be a semi-log graph, so a straight line is an exponential; every y-axis tick is 100x. This graph covers a 1,000,000,000,000,000,000,000x enchancment in computation/$. Pause to let that sink in.”
He’s saying Moore’s Legislation is so highly effective that an correct illustration of it will make this chart taller than a 10-story constructing.
But what’s taking place at present with AI is totally blowing it away…
Hyper Moore’s Legislation
Nvidia’s CEO, Jensen Huang, lately launched an idea he calls “Hyper Moore’s Legislation.”
He believes AI computing efficiency has the potential to blow previous Moore’s Legislation and double and even triple yearly.
And he is perhaps proper.
From Ankur Bulsara:
“If Moore’s regulation is a 2X exponential curve, NVIDIA’s final 8 years have been a 2.34X exponential curve. Not solely is AI compute rising exponentially, it’s a *steeper* curve than Moore’s regulation. Possibly probably the most consequential scale issue this decade.”
This implies AI know-how is changing into sooner and extra clever at a tempo we’ve by no means seen earlier than.
And I feel the very best instance of that is OpenAi’s new mannequin launch.
Again in September of 2024, OpenAI launched a brand new sort of AI computing mannequin completely different from the normal massive language fashions (LLMs) it launched with ChatGPT.
It’s referred to as OpenAI o1, and it was designed to spend extra time reasoning earlier than responding.
This capability permits it to resolve tougher issues in science, coding and math.
Per the corporate’s press launch:
“We skilled these fashions to spend extra time considering by means of issues earlier than they reply, very like an individual would. Via coaching, they be taught to refine their considering course of, attempt completely different methods, and acknowledge their errors.”
And it’s already confirmed to be extremely efficient, exhibiting PhD-like intelligence for sure duties.
Once more, OpenAI was launched simply 3 months in the past…
However it has already been up to date. OpenAI introduced their new o3 mannequin this month.
Right here’s what Reddit person MetaKnowing posted when it was launched:
What does all this imply?
The poster above believes that we’ve already achieved synthetic normal intelligence or AGI.
However Sam Altman defines AGI as:
“Mainly the equal of a median human that you might rent as a co-worker.”
So I don’t consider we’re fairly there but.
However I do consider it might occur as early as this 12 months.
And whether or not you’re simply beginning out within the workforce, you’re already retired or anyplace in between…
The following few years might make the final 20 seem like a heat up act.
Regards,
Ian King
Chief Strategist, Banyan Hill Publishing