Larry Maguire | AI Trainer :
Tried to write this a couple of times and lost my comment so I’ll give it a go again… I think you’re right to certain extent however, machines need data, and data are fluctuations, frozen in time. Snapshots, like photographs, they don’t tell the full picture. So if we’re working with the idea that the world is made up of stuff, discrete, measurable packets of information then AI calls the shots . but AI cannot read the environment because of the fact it needs these frozen unchanged points of data to work with. That’s what an LLM is, numerical representations of information provided to it in training - statistical predictive machines. Human beings on the other hand, read our environment differently. Animals and plants do the same, we read the subtle fluctuations in the gaps between the apparent data points, and we make decisions unbeknownst to ourselves. Chaos theory covers this pretty well. This is the human advantage over the machine, the machine needs data, frozen snapshots of things, they can never know the world or human relationships no matter how many sensors we fit them with and points of data we give them. So as far as jobs go, we’ve got to free ourselves from the idea the others need to give us a job, develop our own sense of autonomy and freedom when it comes to work, otherwise we remain dependent on the few and subservient to their ideas and plans as a consequence. human beings are more than this. AI presents an opportunity if we’re willing to grab it
2026-06-01 13:10:07