AI hype is over. AI exhaustion is setting in
disconnect.blog
disconnect.blog
I use Kagi Ultimate, and I have gone though a valley of language model usage. I started using them a lot when I first got Ultimate to play around with them and understand their limitations. I stopped using them as much in favor of plain search after I hit those limitations. Models have since gotten considerably better, and in many cases they are more useful than regular web searches, so I have started using them a lot again.
I also run Llama 3 locally on a 7900 XTX to process information that I don't feel comfortable with / can't share with external APIs. That's definitely not the greatest, but it's also definitely good enough to be useful in a pinch sometimes.
I think they are particularly useful when you know what you want with particular nuances, and it would not be easy or possible to find that specific information in a web search. For example, I recently used LLMs to help me write a configuration for my RAID. I knew I wanted mirror+stripe, and I wanted to mount the RAID at /data, and mount my home directory at /data/home. I explained this to the language model, and it essentially built me a script to do that.
I could have looked at the manuals for how to use mdadm and edit /etc/fstab, but writing down exactly what I want in plain English and then doing what the language model spits out was easier and faster for me.
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The argument that he's trying to make is that AI is overhyped, but his conclusion is that it's nearly worthless. This is a non sequitur.
He's cynical last years announcements of new discoveries AI models aren't immediately useful. But he's completely ignoring the acceleration and advances of these announcements. He's relying on the matter that hallucinations exist, but he's ignoring the dramatic reductions in error rates across models every 6 months.
He's ignoring that his very industry of writing has been completely changed, and the irony is editing will almost never be done without an AI model again. How many other industries are seeing the same impact (design, project management, software engineering, digital creatives,...).
Medicine and law are actively updating their methodologies and practices in order to better incorporate these new tools 1. https://mcpress.mayoclinic.org/healthy-aging/ai-in-healthcar... 2. https://hls.harvard.edu/today/harvard-law-expert-explains-ho...
This is obviously a piece that was written with a conclusion regardless of the facts