> LLM's are notoriously bad at this. The noise to signal ratio is unacceptably high

I could go either way on the future of this, but if you take the argument that we're still early days, this may not hold. They're notoriously bad at this so far.

We could still be in the PC DOS 3.X era in this timeline. Wait until we hit the Windows 3.1, or 95 equivalent. Personally, I have seen shocking improvements in the past 3 months with the latest models.

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kombookcha 2 hours ago | parent | next [-]

Personally I strongly doubt it. Since the nature of LLM's does not allow them semantic content or context, I believe it is inherently a tool unsuited for this task. As far as I can tell, it's a limitation of the technology itself, not of the amount of power behind it.

Either way, being able to generate or compress loads of text very quickly with no understanding of the contents simply is not the bottleneck of information transfer between human beings.

	▲	birdsongs an hour ago \| parent [-]
		Yeah, definitely more skeptical for communication pipelines. But for coding, the latest models are able to read my codebase for context, understand my question, and implement a solution with nuance, using existing structures and paradigms. It hasn't missed since January. One of them even said: "As an embedded engineer, you will appreciate that ...". I had never told it that was my title, it is nowhere in my soul.md or codebase. It just inferred that I, the user, was one. Based on the arm toolchain and code. It was a bit creepy, tbh. They can definitely infer context to some degree.

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mcny 2 hours ago | parent | prev [-]

I would like to see the day when the context size is in gigabytes or tens of billions of tokens, not RAG or whatever, actual context.