ChatGPT: Super Rentier

I have avoided writing about ChatGPT as one might hurriedly walk past a group of co-workers, gathered around a box of donuts who’re talking about a popular movie or show; to avoid being drawn into the inevitable. In some circles, certainly the circles I travel in, ChatGPT is the relentless talk of the town. Everyone…

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Twitter – Agonistes

There’s a temptation, if you are, or were, a Twitter user (and perhaps, even if you aren’t since we all must comment on everything, everywhere all the time now) to have an opinion about that platform and its current state. For some, it’s a tale of paradise lost, of all yesterday’s parasocial parties, ruined by…

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What’s Behind the Explosion of AI?

Synopsis The spread of AI (algorithmic) harms such as automated recidivism and benefits determination systems has been accelerated by the cloud era which has made the proliferation of algorithmic automation possible; indeed, the companies providing cloud services promote their role as accelerators.  Background  We are witnessing a significant change in the way computing power is used and engineered by public and private organizations….

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Pointillistic But Useful: A Machine Learning Object Lesson

I devote a lot of time to understanding, critiquing and criticizing the AI Industrial Complex. Although much – perhaps most- of this sector’s output is absurd, or dangerous (AI reading emotions and automated benefits fraud determination being two such examples) there are examples of uses that are neither which we can learn from. This post…

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Public Cloud as a Public Good

This post presents the notes and arguments I used during my interview with hosts Ned and Ethan for the Day Two Cloud podcast (https://daytwocloud.io/). The subject is the need for a public cloud that’s owned by governments as an alternative to the private Cloud Solution Providers – CSPs – (not a replacement for those services,…

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