Infinite Computing Amplifies AI – What it means for your business.
There is little question that the field of AI has seen massive progress in the past 5 years.
All one needs to look at are the incredible achievements of Deepmind’s AlphaZero and AlphaFold, and OpenAI’s GPT-3 to clearly understand that something remarkable is happening.
So, why are we seeing this extraordinary progress in the field of AI now versus 50 years ago when the field of AI was first discussed?
One reason is the massive amount of data now available.
The second reason is the sheer amount of computational power now accessible on clouds powered by Google, IBM, Microsoft, Amazon, Facebook, and OpenAI. The amount of near-infinite computing these AI companies can throw at a problem is staggering.
For example, to train GPT-3 (one of the largest and most advanced language models to date), the OpenAI team required 3.14 X 10^23 floating-point operations.
This would take roughly 355 years to do on a single NVIDIA Tesla V100 GPU—the highest performing GPU ever built.
That is the level of computing needed to train AIs that can generate code, write stories, animate, and even commentate cricket matches.
A way of illustrating brute force further, here is a story about an electric go-kart Carl Bass, then-CEO of the software and design giant Autodesk was building with his son:
“In the near future, with infinite computing, I could ask the cloud to run design simulations, experimenting with every possible location for the motor and a range of different materials and thicknesses, resulting in not just an adequate design, but the best design.”
Now couple this with advanced AI models trained on infinite computing. One can imagine a Jarvis-like software where you simply speak to the software and designs are developed and optimized in real-time.
In the future, Bass may only need to say: “Jarvis, show me 3 optimal designs for an electric go-kart sized for children.”
The rest will be carried out by GPT-3 (and eventually GPT-4), simulation software, and infinite computing.
But what happens when the way we compute itself fundamentally changes?
Quantum computing puts this whole paradigm on turbocharge.
It uses the inherent properties of the quantum world to radically speed up certain types of computation.
At the quantum scale, particles can often be in two “states” at once, and anywhere in between, a concept called quantum superposition.
As a result, computers that utilize this fact can often explore the space of solutions to a problem in an exponentially faster fashion.
Many classes of problems, such as path optimization, network analysis, molecular simulation, and, of course, machine learning optimization, can be significantly sped up with quantum computing.
For example, in 2019 Google used a 53-qubit computer to solve a very narrow (unique) problem in 200 seconds that would’ve taken our most powerful supercomputers 10,000 years to solve.
That’s the power of quantum computation.
And recent developments are rapidly pushing quantum computing from high-tech labs into consumer labs. For instance, Quantum Brilliance is developing a synthetic diamond-based room-temperature quantum computer that’s the size of a lunchbox. (Most quantum computers must be kept at near absolute zero and are the size of server racks.)
With continued advances in quantum computing, we’ll see an explosion of information-processing capability.
For example, IBM expects to reach 1,121 qubits with its Condor processor by 2023. This would be a 17,000 percent increase from today. IBM sees 2023 as the inflection point for the commercialization of quantum technology.
And once quantum computing merges with the infinite computing and machine learning infrastructure developed in the last decade, the sky is truly the limit.
YOUR ABUNDANT COMPUTING FUTURE IS ACCELERATING QUICKLY INTO AI
Infinite computing unlocks endless creative possibilities for entrepreneurs.
Rather than needing to build the computation infrastructure from scratch, you can solve problems directly using the cloud.
Infinite computation has already paid dividends in one especially important class of problems: training AIs. And those AIs are now as smart as humans in several domains.
Imagine the world we can build when computation becomes quantum, AIs are the new interface to the computer, and computation is endless.
Let’s talk and help you prepare, schedule a Call: www.calendly.com/clifflocks
Contributor: Peter Diamandis, Founder, X Prize Foundation and Chairman of Singularity University and edited by and Cliff Locks, Investment Capital Growth, Managing Director and Executive Coach.
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