AITech

The Current Chat Boom And The Road Ahead For Open Source AI

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Is this open source AI boom we’re currently experiencing in a “precarious” spot, at risk of usurpation by Big Tech shut off valves and the profit motive? Some would argue that this is a very real possibility.

But, this is only likely if we assume LLMs are the only breakthrough in the short horizon, and only where we have access to super computers to drive a data-gluttony approach. Is that really the only way?

Consider the computational power of a single cell, or even of a complex multi-system like the human brain compared to the energy requirements of an LLM running on super computers. The discrepancies in power usage between these two current archetypes, artificial v. biological, is a vast chasm. It signals how far away from the emergence of an artificial general intelligence, or, AGI, we actually are.

Why? Because the computational power to understand, communicate and create in the human archetype still far exceeds, exponentially, what current LLM AI demonstrates.

Large data requires speed – our neural network systems have that, for sure. But look at the mistakes and then keep in sight how many CPUs and massive algorithmic routines it takes to command these inefficient and highly error prone systems.

Current AI systems work best with active human intervention. They can’t stand alone and remain relevant to human utility. And then consider how long it takes a giraffe or a zebra to learn to walk. How many CPUs does that take? How many bytes?

What we can do today is almost overwhelmingly impressive. But is this the way ahead? If we can unlock further, the human potential in mirror and exceeding reflection in artificial or transistor-based algorithmic systems, using less power drain and dispense with the inefficiency and power glutinous super computer arrangement, aren’t we then, and only then, perfectly ripe for a truly open AI expansion and era of seemingly limitless creativity and innovation?

Take the power back…to fundamentals and inspired cellular invention. The scale of small organized teams driven by the most fundamental human attribute of all, curiosity.

Big Tech should enable this, not stand in contraposition. Innovate past the super computer model, and this alignment becomes inevitable, and dare I say, profitable to all who brave it.

Luke Macomber is the founder of Cakefield, an AI enthusiast,
philosopher, television media veteran,
and a dedicated marathon runner.

“Amazon and the Amazon logo are trademarks of Amazon.com, Inc. or its affiliates.”

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