I'm surprised from reading these comments that more people aren't chiming in to ask why this solution is better than a dev container. That seems like the obviously best way to setup security boundaries that don't require you to still trust that AI will do what you ask it. You can run it remotely and it's portable etc.
As far as I can tell, I think you are interchanging the ability to recognize creativity with the ability to be creative. Humans seem to have the ability to make creative works or ideas that are not entirely derivative from a given data set or fit the criteria of some pre-existing pattern.
That is why I mentioned Kuhn and paradigm shifts. The architecture of LLMs do not seem capable of making lateral moves or sublations that are by definition not derivative or reducible to its prior circumstance, yet humans do, even though the exact way we do so is pretty mysterious and wrapped up in the difficulties in understanding consciousness.
To claim LLMs can or will equal human creativity seems to imply we can clearly define not only what creativity is, but also consciousness and also how to make a machine that can somehow do both. Humans can be creative prima facie, but to think we can also make a computer do the same thing probably means you have an inadequate definition of creativity.
> For an idea to be considered creative, it has to match a very complex... wait for it... pattern.
If we could predefine what would count as creativity as some specific pattern, then I'm not sure that would be what I would call creative, and certainly wouldn't be an all-inclusive definition of creativity. Nor is creativity merely creating something new by perturbing data randomly as you mentioned above.
While LLMs might be capable of some forms of creativity depending on how you define it, I think it remains to be seen how LLMs' current architecture could on its own accomplish the kinds of creativity implicit in scientific progress in the Kuhnian sense of a paradigm shift or in what some describe as a leap of artistic inspiration. Both of these examples highlight the degree to which creativity could be considered both progress in an objective sense but also be something that is not entirely foreshadowed by its precursors or patterns of existing data.
I think there are many senses in which LLMs are not demonstrating creativity in a way that humans can. I'm not sure how an LLM itself could create something new and valuable if it requires predefining an existing pattern which seems to presuppose that we already have the creation in a sense.
If I write a book that contains Einstein's theory of relativity by virtue of me copying it, did I create the theory? Did my copying of it indicate anything about my understanding of it? Would you be justified to think the next book I write would have anything of original value?
I think what he is trying to say is that LLMs current architecture seems to mainly work by understanding patterns in the existing body of knowledge. In some senses finding patterns could be considered creative and entail reasoning. And that might be the degree to which LLMs could be said to be capable of reasoning or creativity.
But it is clear humans are capable of creativity and reasoning that are not reducible to mere pattern matching and this is the sense of reasoning that LLMs are not currently capable of.
Not a complete answer, but I hope Markdown is or becomes the standard for offline docs and text for local/offline consumption. I only ever write in markdown anyway (usually with http://obsidian.md).
The closest thing I know of for a service like RSS to download documents is [Dash for macOS - API Documentation Browser, Snippet Manager - Kapeli](https://kapeli.com/dash).