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the tech billionaires have lost the plot
(lemmy.nz)
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this post was submitted on 12 Sep 2026
891 points (98.8% liked)
Work Reform
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A place to discuss positive changes that can make work more equitable, and to vent about current practices. We are NOT against work; we just want the fruits of our labor to be recognized better.
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- All workers must be paid a living wage for their labor.
- Income inequality is the main cause of lower living standards.
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- Higher wages for underpaid workers.
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Not sure what about this even is AI. Its a software development platform specialised in Infrastructure projects. I guess the reality capture/mapping API uses AI, but most features are independent from that.
A lot of could, maybe and potentially in an article written during the starting hype in 2024, great source. It would be great if it actually worked, but most studies ive seen so far came to the conclusion that the predictions the AI made were based on entirely wrong assumptions.
Machine learning is a great tool and has been around way before the current hype. It also has very little in common with what people usually mean when they say AI.
The only somewhat proper example you delivered. Sounds interesting.
Let's face it, the examples you've shown have very little in common with LLMs, Generative AI or Agentic AI. Most of it could be done with machine learning algorithms we've had before this started or are just nice gimmicks that didn't revolutionize anything unlike what you claimed. There definetly are a few interesting applications for specialized AI models, but the tradeoffs simply aren't worth it.
For every 5 years that AI brings us closer to Fusion power, it brings us 15 years closer to a cyberpunk esq dystopian future. Its great that I don't have to worry about power costs anymore once I'm locked up cause some predictive algorithm said my kids would be against the current regime.
Not to mention that most of the actually useful applications are developed by independent researchers and have little to do with the big AI Industries that build these datacenter. You know, the ones that get the actual hate
AI is a broad field. The same equipment runs ML, molecular combinatorics, factory robotics, symbolic processing, image analysis, and mega-multivariable processing. I don't even see LLMs as significant consumers of the available processing power. That's the foam on top of the ocean for the large buildouts. A use for the unused capacity leftover in between actual workloads. But it is the visible part. The fact that a digital twin of a bridge doesn't spark your imagination is an indicator of this.