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Thanks!

Totally agree! I think we are very early on discovering the full potential of local models

Thank you! I think there is a lot to dive deep later with different hardware, inference engine, prompt/harness setup etc.

Not yet, will conduct a more comprehensive one later

and Why We Can't Have Nice Things): A Story


very good articulation on the problem. My bet is that it is probably fine in the sense that the mastery itself is not going to be relevant.

I want to view AI coding as invention of new coding tools, at least in the way you described. I (hope) it will be more like punch-card->assembly-> BASIC/C -> scripting language -> some sort of well-structured natural language.


Give Copilot a try, it completely shift coding experience in Rust. Especially this:

> I always have to search libraries and how to do things.

Once you pass the initial curve with crutch like Copilot, then you can be almost as productive (if not more, considering refactoring and testing) with your native first coding language


haha was thinking the same. The other day openAI's api hiccup gave me a small panic attack


Moat does not come from compile time but runtime. The company, the operation, and the accumulated data, the brand, the trust and the reputation.


There are technology moats as well, but for the most part, you're correct. Everything else usually matters much more.


you seem really uninformed about what is happening in this space. Just to name a few, incredible fast settlement with lending and yielding; Automatic Market Maker; Decentralized Exchange guaranteed with no wash trade, insolvency and max transparency, etc. Those defi projects are pretty much all killer apps. Hard to believe you have been in financial industry to not recognize those solid use cases and how they eliminate the middle man and premium paid for trust.


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