skysight-inc/HackerNews huggingface dataset:
"If you know what those types of article are you can separate them out and make sure they're represented in the prompt. But now we're back at needing a tonne of domain knowledge about your problem -- that's like having to write custom features to make your model work"

I think this is where the different perspectives come into play.

If you're an NLP practitioner you are thinking, oh no! I need to know a lot about audience intention and how the articles are represented navigationally and the kind of variety people are looking for and how articles might fit multiple categories, etc, etc. And you have to think about these things on a meta level ("prompt engineering"), because you have to instruct the model on how to act in an abstract way.

If you're someone who wants to run a news site then you already are thinking a ton about these things, and probably have a dozen things you'd like to change and adjust, new ways of presenting content, etc. You _wish_ you could be thinking about these domain-specific topics.

What feels like a bug to the NLP practitioner – needing a deep understanding of the domain – is a feature to... everyone else. It's a feature to the people who care most about the results.

The other big perspective difference here, I believe, is how you think about goals. How many tasks ARE categorization? My intuition is that it's a quite small number. There are many tasks that can be implemented with one step as categorization, but that is seldom the task. To the NLP practitioner categorization might seem very prominent – that's when someone calls you up or hands over the work. But with an LLM you might be able to do a much larger portion of the real task, with or without categorization.

Even with a categorization task, when I'm working with an LLM I usually don't produce just a "category", but produce other information at the same time, often using natural language as a first-class data type because it can be fed back into an LLM. In my experience the results are often (usually?) much higher quality because I'm not breaking things down into steps where the inaccuracies propagate between steps, but instead going right for the result, and using a model that can basically "check" itself against general knowledge, scrubbing out nonsensical results during inference. (As a result the remaining inaccuracies often appear plausible and are labeled "hallucinations"... it can make things more challenging, but what we don't see are the multitude of obvious inaccuracies that a more traditional NLP system would create, and which in a sense exist momentarily during the LLM inference.)
That's less of a problem for a hypothetical law requiring either longer-term maintenance or enabling users to perform that maintenance themselves. Manufacturers would just have to make adequate contractual arrangements.
Are you really 15yrs old?

is the biggest question here..
This is the most accurate description of dealing with a hardware manufacturer I’ve ever read. I’ve never experienced getting for example, drivers from a hardware company where it wasn’t exactly as you described.
OP here... yeah it sure looks like it is!

I hadn't heard of it before, and will need to do some more reading, but at a high-level it does look to be the same line of thinking.
I would argue that the rise in drug abuse is a consequence of societal issues - not the cause.

In my experience many people use drugs. Those that abuse drugs almost always had existing problems prior (mental health, destitution, a sense of hopelessness, etc).
Awesome work, I've had the idea for a while of setting up a pipeline like this that could take input from all available sources of the person to clone their voice and image as well as dialogue.

The intent being to create digital avatars of lost loved ones to help people with the grieving process.

I know that there would be tremendous opportunity in such tech for malicious actors to do serious harm, but the stated goal is still a worthwhile endeavor.
> It is an idyllic, almost utopian, perspective. There is an imagined logic at play, entirely divorced from reality. In the world where Substack were an expeditious route to “more people” being able to “make a good and profitable career out of writing”, we would also live in a world where you bought your lamp chops from a butcher, your baguette from a bakery, your stilton from a cheesemonger and your wine from a vintner, rather than just everything from a supermarket.
Law and order is one way. Homeless don't seem to gather in cities with Broken Window policing
Not remarkably different? It's about as different as it gets if you disregard obvious outliers like north Korea (because they don't have an organic culture, it's forced upon them)
I feel like the attitude towards outdoor cats online in the United States is a lot different than the attitude in regular life, at least where I live in California.

There are a ton of cats that wander outside in our neighborhood, and I have never heard a single person say anything about it. Online, you get flamed if you even hint at your cat being outside.
The root problem is drug addiction.
Ford in Ontario seems most serious about fixing the municipal problems.
I believe that in the before times, "undefined behavior" meant something could be valid in certain contexts, and erroneous in others (as opposed to "implementation-defined" in which something sensible must be done but it's not clear exactly what). For example, null-pointer indirection has meaning if you're banging bits on the bare metal; it means fetch from (or store to) location 0. But most user-space programs on virtual-memory machines don't use location 0, so null is reserved as an invalid pointer/sentinel value. Many architectures for which C compilers exist trap if you try to access an address outside the bounds of an explicitly allocated buffer; the Symbolics Lisp machines had a C environment in which all pointers were "fat": they contained both a pointer to a Lisp object (typically a vector) and an offset from the beginning of that object. So the semantics of memory accesses in C are meant to accommodate those architectures as well as ones in which memory is assumed to be one big array of fixed-size integers and you can read or write wherever.
Rust is what most *should* use for system-level programming and/or overall programming, if possible.

Rust is safer, better overall + ergonomics, ecosystem, etc.

However, Zig have some nice properties:

- Is easier to do bit/memory wrangling in Zig than in Rust

- Is FAR easier to cross-compile. To the point that for example I use Zig to compile my Rust project for musl

- Is MUCH faster to compile

- Is far "smaller" that is nice in constrained situation (not just "environments", for example, you can use zig for when you will use gcc/llvm to compile some small c file)

Zig is a very good match if the scope of the project is relatively small. Rust shine much more when is more big or you need to work for a team of people.

Also, if you plan to make a library that will be used by others, better to use a safer lang.

I don't see both as competitors. They are excellent complements, and my dream is to Zig to replace C and Rust/ada/pascal to replace C/C++.

P.D: A probably good match is to make some low-level thing in Zig (where before was C) and FFI it in Rust.
You think losing 2 billion of Australia's unique native fauna each year is a triviality?

Feral cats are a serious problem in Australia just like other introduced species. The government has had programs for controlling and eradicating them for many decades.
Sounds like the world in which the platform keeps moving and breaking APIs is a pretty bad world!
If you can breed a cat so that it only eats the "bad" small animals, go ahead.

But you do need to remember cats tend to love to hunt _everything_. Just a few freely roaming cats are enough to make sure you won't be hearing any small birds chirping in the trees in your area. Because they're all dead.
This is baselessly asserted: rich people consistently receive gentler treatment at the hands of the police for similar crimes[1]. Black Americans get dinged for this twice: not only are they poorer on average than Whites, but are also disproportionately likely to be brutalized or killed by law enforcement[2]. When Black people do die in custody, their deaths are more likely to be characterized with pseudomedical terms like “excited delirium[3].”

[1]: https://www.journals.uchicago.edu/doi/pdf/10.1086/696355

[2]: https://www.prisonpolicy.org/blog/2022/12/22/policing_survey...

[3]: https://www.psychiatry.org/File%20Library/About-APA/Organiza...
I don't think the author is referring literally to people with mental illnesses.

They're referring to the IRA.

https://en.m.wikipedia.org/wiki/List_of_terrorist_incidents_...
Miyazaki realized he would have to spend time with his son. /s