Even if AI tools (e.g. search or summarization) aren't perfect, neither are our current manual methods. Right now I feel there's a strong negative sentiment towards mistakes made by LLMs vs humans - when/if that sentiment fades, it'll be interesting to see how much work can be delegated to LLMs.

There's a difference between guaranteed privacy and certifiable privacy. Yes, the government can request one's data. However, Apple's system would reveal those intrusions to the public, even if Apple themselves couldn't say it.

I second Kickstart! The single-file and comments make it easy to learn and configure yourself.

Agreed. If it was "RLHF a LLM in <50 lines" I feel it would be clear, but "lines of Python" implies something different.

I do something similar for my notes, but instead converting to HTML! (e.g. https://cswartout.com/notes/cse422.html) I keep my notes as markdown in a repo, then "build" them onto a web server after pushing. I've found it easy to write and always accessible, which is nice.

There's two main ways to "add documents to LLMs" - using documents in retrieval augmented generation (RAG) and training/finetuning models. I believe you can use RAG with Ollama, however Ollama doesn't do the training of models.

Agreed - the rebuttal comment you got had the example of "having to deal with MAGA people bitching about your existence as a Mexican migrant". Russia has been is conducting influence campaigns to stir up these very problems! NatSec is important for these social issues too.

We shouldn't reduce or avoid removing any of the struggles you've brought up - those are real and we need to remove them. With that being said, most of what OP said is true: Americans are in a good position because of many factors - national security being an important one. I interpret OP's comment not as a call to rest on the US's good position, but to fight for it and improve it. We can both hold that the US has major issues that need to be fixed, while saying we need to fight against countries that would work to destabilize the US. If we don't fight for the struggles you've mentioned (and other ones!), the US won't improve. But, if we don't also recognize our worldwide position and work to prevent countries from destabilizing it, everything will get worse for everyone. > Its not the people that are thankful to their country that enact change. I disagree, we can be recognize some aspects of a country and be thankful (fighting to keep the good we have) while still improving on others. I hope it is clear I'm speaking in good faith

One of the big things to note is that Sparky plays very basic decks, with few complicated cards and combos. Rules-based AI could definitely play at a basic level using a beatdown strategy, but give it some sort of control/combo deck and it would struggle.

Here's a paper on creating a Turing machine in Magic:

https://arxiv.org/abs/1904.09828

My good-faith interpretation of your comment is: "Maybe learn to code (without external resources or tools)?" LLMs are another tool and resource, just like StackOverflow, linters, autocomplete, Google, etc. None of these tools are infallible, but they provide value. Just like all other tools, you don't need to use LLMs because of their issues - but we want them to be as useful as possible - what the author is trying to do.

Is there any proof or source of this?

Seems to be a one-off thing: https://chat.openai.com/share/0936d340-79b6-44f3-933c-c30dff...

Microsoft had no prior knowledge: https://www.axios.com/2023/11/17/microsoft-openai-sam-altman...