Apparently startups will claim they do AI in order to generate VC interest!
https://www.theregister.co.uk/AMP/2019/03/05/eu_startups_no_ai/
I'm also fascinated to learn how many reported that they have a shortage of data scientists. Machine learning is so visible now that I'd assumed expertise was widely available.
miniblog.
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Sweep is a really impressive demo of LLMs with coding: given your source code and an issue, it will generate a PR! Example: https://github.com/edreisMD/plugnplai/issues/65
I'd want to have a really thorough test suite if I was accepting LLM PRs though.
Porting my 2016 Rust project from getopts to clap, and it's amazing how far the ecosystem has come.
clap gives me a nicer help, automatic value validation, and can even generate completions for shells!
First screenshot is getopts, second is clap.
C# has an interesting concept of second-class macros called Source Generators: https://devblogs.microsoft.com/dotnet/introducing-c-source-generators/
You can generate additional code at build time, but you can't transform existing expressions (unlike normal macros), so it's more amenable to tooling.



