But then , one difference I found on LLM's is on scaling laws, where at some point, it have interesting emerging properties, that nobody thought would be possible now being possible.

Tools: Though It is a tool, but powerfull tool that is automating existing manually done jobs, large scale. Adapting to new roles where we definite goals, needs and motives judging of AI output, at large level is an issue. And humans are used to day to day repeating job, doing same thing repeatedly. Now the AI is taking over that. I see that is a challenge.

Also I see we are moving to creative world, where we will spend more time on creating something really new, leaving mechanized parts to AI.

For me it is easy to grasp if they are in the order of software stack (Hardware, System, Infrastructure, apps, and so on ).

Built this chrome plugin that uses Gemini model, to classify. It works but, classification still not great. It is built using claude code cli.

on my Mac book pro, Gemini nano model loading takes around 11 seconds, and classification it self takes around 5 seconds. (if sub classification enabled it adds 6 more seconds approx). Model loaded in background thread. And unloads, if not used after 30 seconds. I would say still not pretty usable, without optimized classification time, but it works, to experiment with.

Comments URL: https://news.ycombinator.com/item?id=49023036

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