8,510 karma · joined May 21, 2020
Talk to operational people if you are interested in finding operational pain. Tech teams will tell you they are working on it and don’t need help, or at best want to hire an IC. (If that’s what you want then just approach it as a job search)
For the same reason, hours are a bad unit of time and a bad giveaway. You want to be able to offer a free diagnostic or something - nobody’s waiting with operational pain and a plan to fix it that they want to start paying for. You need to help with the plan and show them what they need.
Just my $0.02 of course, circumstances may vary
First there’s the idea that “nurturing” is somehow what kids need and better for them automatically, that whatever a stereotypical man does with kids is bad for them, and we need to be rewired by pheromones or whatever to be more sensitive. And as a corollary the idea that a high-T man somehow is a worse caregiver, and that it needs to be reigned in by some adaptation. The whole thing is definitely framed for a certain world view, it’s definitely not the only interpretation.
The more typical AI fondation model company claim of “it’s so dangerous only we and people that pay us enough should hand access” is what I think is BS.
I don’t see anything wrong with trying to understand something, which is what this seems to be about. I also don’t see anything wrong with an AI operated store generally, and it of course makes sense, and is valuable, to learn about how the limitations.
Evolution isn’t a matter of faith, you’re welcome to challenge it and try to poke holes in it.
Does anyone remember this, I can’t find it now.
Also any workload I have that is bandwidth heavy would be on clouds machines between data centres and generally very fast. Are there reasons why someone at home would benefit from 25GB internet beyond whatever is available?
Is this a case of over engineered central planning instead of a blow against the free market?
But I assume this has been studied? Can anyone point to papers that show it? I’d particularly like to know what the curves look like, it’s clearly not linear, so if you cut out 75% or tokens what do you expect to lose?
I do imagine there is not a lot of caveman speak in the training data so results may be worse because they don’t fit the same patterns that have been reinforcement learned in.
Does that seem hard? I think it’s hard. The relevant physical phenomena include at least..,
In most engineering problems, the starting point is recognizing that usually one or two key things will dominate and the rest won’t matter.No way to know for sure, but worth flagging.
I though the discussion here was about people not using their headphones on airplanes.
Regardless, no punishment is too harsh, this should be considered the equivalent of lighting up a cigarette on a plane.
Pretty sure this is a feature not a bug. Most people aren’t here for political topics.
Vibe coding, certainly as an “abstraction”, is nothing like that, you’re hoping you can get across the behavior you want, and have no visibility into what choices are actually being made with regard to how it’s specified. It’s the same as being a manager that can’t code, you’re entirely at the mercy of the people doing the actual work. That’s not true when you code without knowing semiconductor physics.
The relationship between owners and workers has always been extractive. The adversarial relationship is built in.
I’m sure extractive relationships exist, but it’s certainly not an iron law of work, and I’m not even sure it’s that common in most modern workplaces.I think if one sees their work this way, maybe it comes true? It’s a very cynical way of looking at things.
I can see this being a problem. I read a thread here a few weeks ago where someone was called out on submitting an AI slop article they wrote with all the usual tells. They finally admitted it but said something to the effect they reviewed it and stood behind every line.
The problem with AI writing is at least some people appear incapable of critically reviewing it. Writing something yourself eliminates this problem because it forces you to pick your words (there could be other problems of course).
So the AI-blind will still submit slop under the policy but believe themselves to have reviewed it and “stand behind” it.
For example, authors may have given an LLM a partial description of a citation and asked the LLM to produce bibtex
This is equivalent to a typo. I’d like to know which “hallucinations” are completely made up, and which have a corresponding paper but contain some error in how it’s cited. The latter I don’t think matters.