A raw awakening – Harold Jarche

by Brenden Burgess

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“This could be due to the time of year; It's always quieter during the summer months, but it's a little different at the moment.

First, it seems that there was a big break because of Chatgpt and other LLM. He has the impression that people always make their heads around what they can do, their efficiency, their quality, etc. And when they look at it, they don't get how they will use it. “”Andrew Jacobs 2025-08-09

I attended this same discomfort in the business world in the past year. If it is not an AI initiative, it draws no attention. The bad and the ugly The aspects of this new flavor of automatic learning dominate the IT sector and everything it affects. Here are some recent examples shared in our community of practice.

Balance burnout: improved work models in AI

However, this new technology (generative) has not yet fully brought to this promise of productivity: almost half (47%) of employees using AI say that they have no idea how to reach the productivity gains that their employers expect, and 77% say that these tools have in fact reduced their productivity and added to their workload.

AI models are blocked against fresh data – except the trash can

As AI robots are increasingly blocked high quality news sites, they will turn to low -quality sites and will fill garbage and disinformation – and that's what they spit.

The bosses obsessed with AI are about to obtain a brutal awakening

The 1840s rail mania has left new infrastructure. The 1990s' fiber boom connected the world. There was barely a blip before these assets were used again.

But spending 1 dollars billion for data centers will be very stupid in a few years when the chips are four more powerful generations. This is the incineration of large -scale capital. The fear of losing has returned the industry crazy.

Raw awakening cannot come early enough, so we can take up the many complex challenges faced by all organizations today. The inversion described in the image below can be just at the corner of the street.

I looked at Gen AI using the McLuhan media tetrade, which indicates that each medium:

  • extends a human property,
  • Obsolence the previous environment (and in fact often a good luxury),
  • recovers a much older support, &
  • inverse its properties when they are pushed to its limits

AL GENERIF

Extends each voice and thought – imitates creativity

Obslesceces Human Thinking & Writing – Bullshit by Design

Recovers nineteenth century imperialism – neo -feudalism

Reverse in another bubble explosion – collapsed data centers

The generative media tetrad of Al McLuhan declares that: - Any means - extends a human property, —Solesce the previous means (and in fact often a luxury good), - retrieves a much older means and inverse its properties when they are pushed to its limits extend each voice and thought - Mimic Bulfue de Bubbles - Centers of collapsed data

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