drunkpotato

To add to your point, I'm struggling to think of any non-violent movement in history that wasn't backed by a more violent movement that made the non-violent movement the more palatable option.

Unconditionally embracing nonviolence is not, properly, a goal. Nonviolence is a strategy. It must be conditional on its effectiveness.

Actually, yes, it can. Chill a bit.

I’m sad that you’re being downvoted. It’s clear that you’re correct. However, HN does tend to take extending the courtesy of assuming good faith to the breaking point, whether we like it or not.

It’s blindingly obvious that they are here merely to gum up discussion in endless loops that go nowhere under the guise of politesse and question marks, as if they’re just confused and asking clarifying questions.

The thing about assuming good faith, which I agree with in principle, is that you have to be willing to accept your own judgment of when someone is arguing in bad faith and disengage.

Yes, that was evil. If your point is that both Obama and Trump are criminals who deserve imprisonment rather than full throated defense and endorsement, I am in complete agreement.

Caddy is beautifully simple, a joy to setup, configure & use for a simple home server with a few services. I love it! I used nginx before, and it’s great, but caddy makes things easier. I love how easy it makes SSL certificates & reverse proxies.

They don’t have anything because they’re lying. Even the sibling comment is a fabrication.

To anyone else coming across this: this is a lie.

Exactly. All of this was stated in advance, in Project 2025 and in tech bro interviews about how much democracy sucks. These people are not subtle, smart, or original; however, they are completely amoral sociopaths who think they can destroy the US and own/control what’s left. I don’t think it’s going to work out as well for them as they think, but in the short and medium term Elon and his shitheels will do a lot of damage, and cause a lot of pain and death.

I, too, was born yesterday.

Ah, naming things. Something about one of the hard problems in computer science...

I think consistency is more important than perfection. If you use something like vw_ as recommended in the sibling comment, that's fine, then try to apply it to all views. (Without being overly strict; sometimes there are good reasons to defy conventions. They're conventions, not laws!)

Just keep in mind that a view is both code and a data contract just like a table definition is. All the usual best practices around versioning, automated deployments, and smooth upgrade paths apply. As soon as an application or downstream view, function, etc relies on that view, changing it risks disruption or breakage. Loud breakage if you're lucky, silent data corruption if you're not!

I feel you, and LLMs are no doubt a boon in tooling to help in this kind of scenario. I'm not poo-pooing LLMs in general; they are very cool! I wish they were allowed to just be very cool while we incorporate them into our tooling and workflows, rather than over-hyped.

I believe that we'll learn how to incorporate LLMs to improve parts of data pipelines, particularly those that involve extracting unstructured or semistructured data into structured data, especially if it can provide a reliability score or confidence level with the extract. I'm much more skeptical of claims beyond that.

I also think there are unanswered questions about reliability, cost (dollar and energy), and AI business models; I don't think OpenAI can burn $2+ to make a dollar forever.

This is a head-scratcher of a take. Have you actually done any in-depth work on data pipelines and analytics tooling? If so, what precisely do you see LLMs making easier?

I tried using enterprise chat gpt to write a query to load some json data into a data warehouse. I was impressed with how good a job it did, but it still required several rounds of refinement and hand-holding and the end result was almost, but not quite, correct. So I'm not coming at this from the perspective of hating LLMs a priori, but I am unimpressed with the hype and over-selling of its capabilities. In the end, it was no faster than writing the query myself, but it wasn't slower either, so I can see it being somewhat helpful in limited conditions.

Unless the technology makes another quantum leap improvement at the same time the price drops like a stone, I don't see LLMs coming anywhere close to your claim.

That said, I expect to see a huge amount of snake oil and enterprise dollars wastefully burned on executive pipe dreams of "here's a pile of data now magic me a better business!" in the next few years of LLM over-hyped nonsense. There's always a quick buck to make in duping clueless execs drooling over replacing pesky, annoying, "over-paid" tech people.