That's Ed Zitron, and his calls on AI matters routinely get outperformed by that of a broken clock.
replyThe man saw the market demand for saying "AI bubble is going to pop and AI tech is going to wither away and die", and went to meet it on the supply side - truth be damned.
So far, AI companies still keep getting bottlenecked on compute, AI utilization increases - driven by, among other things, increased price-performance of AI making it viable in more and more roles. And the demand for both AI inference and AI hardware in general shows no signs of stopping.
Ed Zitron's AI prediction track record: https://danluu.com/zitron/
replyHN discussion: https://news.ycombinator.com/item?id=49526069
In 5 years from now every device. Even your oven or washing machine has somekind of local LLM running for sensor reading and smart decision models. I can already think of quite some useful use cases for those devices. So I do believe that AI becomes magnitudes bigger than today. It's a logical step in our digital journey.
replyWhy would you need the LLM to be running on the device itself? Wouldn't it be more efficient for the intelligence to be more centralized? Maybe in one central computer per home, or (probably even more desirable for corporations) for the devices to phone home to a centralized server at the service provider in the cloud somewhere.
replyOh of course thats certainly also gonna happen. But i believe there its still useful to have local dedicated AI with low latency. For example regulators that need constant adjustments. Also in cameras local AI could be extremely useful. Same for audio processing and other sensor processing. Cloud solutions wont work in those cases.
replyWhy do you need an LLM to read a sensor? This is truly AI pilled delusion.
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