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Comment by _6wbq | Hacker News Reader

With all the focus on coding and agentic use, I wonder if the rest of the world will notice or care? Most AI use is not for coding or harnesses contrary to what this website thinks. Maybe this is how American companies stay winning.

For example I prefer Kimi K2.6 1T parameter to Flash V4 0731 230B parameter, even if it is less intelligent.

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What is the rest of the world using LLMs for? Agentic stuff seems pretty universal. Obviously coding stuff is only interesting to people who want to code, but automating complex digital tasks seems useful in all kinds of contexts.

Learning new things for example, general curiosities, text processing

I’m working at a company where everyone is using LLMs for everything and I’m not aware of anybody using anything truly genetic. It’s all human in the loop babysitting the tool.

What tool?

Even basic clients are now harnesses. A lot of chat interfaces are using memory systems, web search and other stuff under the hood.

Not as agentic as openclaw, but not a straight closed conversation either.

I agree that most AI use in terms of users may not be for coding or agentic use (everyday people are asking chatgpt for something or looking at google ai summary), but with respect to AI usage, I speculate that the vast majority of usage is coding and agentic because they're super token hungry.

In terms of the value proposition of AI replacing knowledge workers, all value is in coding agents (coding agents as general agents).

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