Is Google Setting a Trap for Its AI Competition

October 6, 2023

Vea4_thumb_thumb_thumb_thumb_thumb_tNote: This essay is the work of a real and still-alive dinobaby. No smart software involved, just a dumb humanoid.

The litigation about the use of Web content to train smart generative software is ramping up. Outfits like OpenAI, Microsoft, and Amazon and its new best friend will be snagged in the US legal system.

But what big outfit will be ready to offer those hungry to use smart software without legal risk? The answer is the Google.

How is this going to work?

simple. Google is beavering away with its synthetic data. Some real data are used to train sophisticated stacks of numerical recipes. The idea is that these algorithms will be “good enough”; thus, the need for “real” information is obviated. And Google has another trick up its sleeve. The company has coveys of coders working on trimmed down systems and methods. The idea is that using less information will produce more and better results than the crazy idea of indexing content from wherever in real time. The small data can be licensed when the competitors are spending their days with lawyers.

How do I know this? I don’t but Google is providing tantalizing clues in marketing collateral like “Researchers from the University of Washington and Google have Developed Distilling Step-by-Step Technology to Train a Dedicated Small Machine Learning Model with Less Data.” The author is a student who provides sources for the information about the “less is more” approach to smart software training.

And, may the Googlers sing her praises, she cites Google technical papers. In fact, one of the papers is described by the fledgling Googler as “groundbreaking.” Okay.

What’s really being broken is the approach of some of Google’s most formidable competition.

When will the Google spring its trap? It won’t. But as the competitors get stuck in legal mud, the Google will be an increasingly attractive alternative.

The last line of the Google marketing piece says:

Check out the Paper and Google AI Article. All Credit For This Research Goes To the Researchers on This Project. Also, don’t forget to join our 30k+ ML SubReddit, 40k+ Facebook Community, Discord Channel, and Email Newsletter, where we share the latest AI research news, cool AI projects, and more.

Get that young marketer a Google mouse pad.

Stephen E Arnold, October 6, 2023

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