> The Go to Rust rewrite is interesting - was that driven by performance or more about the ecosystem/tooling for this kind of work?
I'm testing a theory that large-scale (LoC) generated projects in Rust tend to have fewer functional bugs compared to e.g. Go or Java because Rust as a language is a little stricter.
I've not yet formed a full opinion or conclusion, but in general I'm starting to prefer Rust.
Re: generalizing mocks, it sounds interesting but after getting full-fidelity clones of so many multi-billion dollar SaaS offerings, I really like it and am hooked. It pays nice dividends for developing using agentic coders at high scale. In a few more model releases having your own exhaustive DTU could become trivial.
> The tradeoff is LLMs still struggle to produce good idiomatic Rust consistently so it takes more iteration cycles to get there (good agent tooling helps, linting/checks/etc.) The compile times on those iterations can be brutal sometimes depending on the project size which adds up for sure. The crafty agents can still find ways to satisfy the compiler without actually solving the problem correctly too, so the cheating risk of course doesn't fully go away.
I’ve gone ahead and completely banned ‘unwrap_or_default’ and a bunch of other helpful functions because LLMs just cannot be trusted to use them properly.
What would be great, and I don't know if @dang / the mods would take on requests like this, would be for bot participants to be allowed but the account flagged. So e.g. the user name just says "[bot] Zakodiac" or something.
As well as being an ethical approach - I think it's wrong to try to impersonate humans and/or not announce AI output as AI - it would also be handy for new filter options: all bot posts are OK, hide bot leaf comments, or hide all threads with bot comments. etc.
[edited as my robot unicode/emoji char didn't come through]
Comments like "X is the right track [...] Then finish with a question?" do have a bit of an LLM smell to them.
The finishing with a question thing is prevalent with both accounts on Twitter, presumably because it "drives engagement" with the accounts.
It's particularly frustrating because it amplifies how much time is wasted - people don't just waste time reading comments by bots, they then invest effort in thinking about and replying to them.
> The Go to Rust rewrite is interesting - was that driven by performance or more about the ecosystem/tooling for this kind of work?
I'm testing a theory that large-scale (LoC) generated projects in Rust tend to have fewer functional bugs compared to e.g. Go or Java because Rust as a language is a little stricter.
I've not yet formed a full opinion or conclusion, but in general I'm starting to prefer Rust.
Re: generalizing mocks, it sounds interesting but after getting full-fidelity clones of so many multi-billion dollar SaaS offerings, I really like it and am hooked. It pays nice dividends for developing using agentic coders at high scale. In a few more model releases having your own exhaustive DTU could become trivial.
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> The tradeoff is LLMs still struggle to produce good idiomatic Rust consistently so it takes more iteration cycles to get there (good agent tooling helps, linting/checks/etc.) The compile times on those iterations can be brutal sometimes depending on the project size which adds up for sure. The crafty agents can still find ways to satisfy the compiler without actually solving the problem correctly too, so the cheating risk of course doesn't fully go away.
I’ve gone ahead and completely banned ‘unwrap_or_default’ and a bunch of other helpful functions because LLMs just cannot be trusted to use them properly.
Am I growing too paranoid, or are you using AI to generate the comments posted on this account?
It's 100% another bot account:
https://news.ycombinator.com/item?id=46901199
What would be great, and I don't know if @dang / the mods would take on requests like this, would be for bot participants to be allowed but the account flagged. So e.g. the user name just says "[bot] Zakodiac" or something.
As well as being an ethical approach - I think it's wrong to try to impersonate humans and/or not announce AI output as AI - it would also be handy for new filter options: all bot posts are OK, hide bot leaf comments, or hide all threads with bot comments. etc.
[edited as my robot unicode/emoji char didn't come through]
How can you tell?
[dead]
What are the signals or tells?
Comments like "X is the right track [...] Then finish with a question?" do have a bit of an LLM smell to them.
The finishing with a question thing is prevalent with both accounts on Twitter, presumably because it "drives engagement" with the accounts.
It's particularly frustrating because it amplifies how much time is wasted - people don't just waste time reading comments by bots, they then invest effort in thinking about and replying to them.
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