Google’s AI Hype Circle

Google has a serious AI problem. That problem isn’t “how to integrate AI into Google products?” That problem is “how to exclude AI-generated nonsense from Google products?”

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Kagi Search

A new search engine (and browser!) that will have a paid business model.

Between this and Duck Duck Go, there’s evidence of an increasing appetite for alternatives to Google’s increasingly-more-rubbish search engine.

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Google’s Top Search Result? Surprise! It’s Google – The Markup

I’ve been using Duck Duck Go for ages so I didn’t realise quite how much of a walled garden Google search has become.

41% of the first page of Google search results is taken up by Google products.

This is some excellent reporting. The data and methodology are entirely falsifiable so feel free to grab the code and replicate the results.

Note the fear with which publishers talk about Google (anonymously). It’s the same fear that app developers exhibit when talking about Apple (anonymously).

Ain’t centralisation something?

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Why “AI” projects fail

“AI” is heralded (by those who claim it to replace workers as well as those that argue for it as a mere tool) as a thing to drop into your workflows to create whatever gains promised. It’s magic in the literal sense. You learn a few spells/prompts and your problems go poof. But that was already bullshit when we talked about introducing other digital tools into our workflows.

And we’ve been doing this for decades now, with every new technology we spend a lot of money to get a lot of bloody noses for way too little outcome. Because we keep not looking at actual, real problems in front of us – that the people affected by them probably can tell you at least a significant part of the solution to. No we want a magic tool to make the problem disappear. Which is a significantly different thing than solving it.

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Does AI benefit the world? – Chelsea Troy

Our ethical struggle with generative models derives in part from the fact that we…sort of can’t have them ethically, right now, to be honest. We have known how to build models like this for a long time, but we did not have the necessary volume of parseable data available until recently—and even then, to get it, companies have to plunder the internet. Sitting around and waiting for consent from all the parties that wrote on the internet over the past thirty years probably didn’t even cross Sam Altman’s mind.

On the environmental front, fans of generative model technology insist that eventually we’ll possess sufficiently efficient compute power to train and run these models without the massive carbon footprint. That is not the case at the moment, and we don’t have a concrete timeline for it. Again, wait around for a thing we don’t have yet doesn’t appeal to investors or executives.

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Ideas Aren’t Worth Anything - The Biblioracle Recommends

The fact that writing can be hard is one of the things that makes it meaningful. Removing this difficulty removes that meaning.

There is significant enthusiasm for this attitude inside the companies that produce an distribute media like books, movies, and music for obvious reasons. Removing the expense of humans making art is a real savings to the bottom line.

But the idea of this being an example of democratizing creativity is absurd. Outsourcing is not democratizing. Ideas are not the most important part of creation, execution is.

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