I would love such a model. My wife's family is Iu Mien which is a sub group of the Dao/Yao Chinese ethnic minority. Mien is its own language but most speakers are essentially illiterate. I'm good with language but there simply isn't a course or any books for learning the language. Not much in writing to begin with given the high illiteracy rate. I would love to build a translation system - project Hail Mary style :)
FWIW someone wrote their PhD thesis on the Iu Mien language: https://opal.latrobe.edu.au/articles/thesis/An_Iu_Mien_gramm... It's not a textbook, but that doesn't mean you can't try to use it as a textbook. For example, there are some thoroughly-analyzed example texts. Also, the acknowledgments section mentions the Iu Mien Literacy Project, which has published a short course on the very basics, as it turns out: https://iumienliteracyprojects.com/resources/ I suspect the 925-page PDF contains some more hints to additional resources like that. :)
Unfortunately there are two sub groups of Iu Mien with somewhat different vocabulary as well - and my wife is from the other group. I had found this pdf document previously - thanks for the pointer! I'll see what I can do with it.
I can easily create a 1 hour track in Ableton and have some minor variations every say 48 measures. It's basically just copy paste with some parameter variation which can be scripted.
So not everything like that is necessarily AI generated!
> I can easily create a 1 hour track in Ableton and have some minor variations every say 48 measures. It's basically just copy paste with some parameter variation which can be scripted.
What's the difference with AI doing it instead of your script ?
Is human-scripted art (e.g. https://nannou.cc/) art? Is music programmed to play on an orchestrion art? Is the music produced using a modular synth setup art?
If your answer to any of these questions is "yes", and your answer to "can AI create art" is no, then there is a difference between AI doing it and a script.
That said the discussion around "human" art and "AI" art often lacks nuance, and I believe there's lots of space to explore art that uses AI. Humans produce a lot of crappy art, this crappy art requires humans to invest time and effort. With AI it is possible for humans to produce lots of crappy art without investing time and effort, so an deluge of crappy AI art follows.
If I use AI to strip backgrounds instead of traditional greenscreen methods, is the end result "crappy AI art"? I'd hope no one sets those standards. I'd hope my videos would be judged as "crappy human art" since I still did the camera work the acting and the editing. If I use AI for visual effects in my video because I don't have visual effect training and don't have money to hire someone with experience (I don't make money from my occasional fun video projects), does that make it "crappy AI art"? I don't believe so. But somewhere between there and the content farm AI slop filling the Youtube servers there is a point where it becomes "crappy AI art" and I can't tell you where that point is because I'm still trying to figure it out.
Yeah, you make some good points, and it's an interesting question. There's far more nuance I guess that I considered, I guess what's a bit disheartening about the amount of generated music in this case is that it does make it harder for those who create and put really a lot of effort into their work to find some traction. Then again they said Spotify would ruin the music industry also, and to some degree it has only benefited a minority of artists.
I guess either way we will see. Art is only appreciated by those who appreciate it so who am I to judge.
Just yesterday I had to attend internal "office hours" of an expert team to get a question answered - I had done extensive research of my own, both manual and using AI leveraging internal resources. What did the "expert" do when they couldn't answer my question right away? They said "let me ask {insert AI tool}". I cut them off stating that this is an insult to my intelligence. I am in the office hours for expert advice not someone else performing the same AI prompts that I already performed.
Wait, you're upset because they used AI to answer a question they weren't expecting, and couldn't answer? Yet, you used AI as part of your upfront research?
What would you have preferred? They could have just said, "I'm sorry, I don't know the answer to that, please let me get back to you" but instead they tried to get an answer for you.
I think it's perfectly fine for the author to use AI in their research process, and it sounds like they weren't relying on it exclusively.
So they've already asked AI its opinion on the topic. They're explicitly reaching out to an expert because they've exhausted their ability to move forward on their own (even with AI).
If the expert just asking the same question to the AI and returning the answer directly - that's what OP has just done, and it actually is a waste of time. They're looking for insight, not just another quick response from an LLM.
I would imagine that letting the expert know ahead of time so they can research an answer (perhaps with the assistance of AI) would be a good pattern. But it has to be guided by the expert's knowledge - that's the whole point. Using AI is fine, and probably even good if it's being guided by a wise hand, but it isn't sufficient on its own, and bouncing answers directly back from an AI with no refinement is not useful, and dare I say it is somewhat insulting.
These were expert office hours for API modeling. The company has certain requirements and standards - this team is supposed to live and breathe them. The question wasn't that advanced. Performing a basic AI prompt in the authoritative expert office hours is not the answer.
The right approach would be to say: I do not know. Let me discuss / research with my colleagues and get back to you.
And to be clear: I manually read and studied the official guiding documents without AI. Then I used a separate AI setup to more effectively research a larger array of additional internal sources, wikis, etc. I also reviewed the code from other teams / projects to infer any patterns that could apply to my project, so I came prepared with examples for discussion.
> The right approach would be to say: I do not know. Let me discuss / research with my colleagues and get back to you.
I suppose that would be very close to "you've come to the experts for advice and I probably shouldn't be here because I'm not one of them", which nobody wants to admit.
For many, an honest look at themselves would end with "I don't contribute anything". They have the opposite of impostor syndrome - they don't belong, but they feel like they should, and AI helps them pretend.
Exactly! If you're an owner (ie: expert, you teach other people how to do your stuff) you should be making decisions and taking responsibility, given existing context. I'm happy using LLM to confirm my reasoning or research, but it's still me doing the coding, or architecting or anything, not LLM, and if something goes bad I cannot say "LLM told me to do it". If people are blindly doing what their tools tell them to do, that's the problem there.
Edit: in this instance if I were the expert I'd respond from my expertise. Using LLM is fine to explain whys/research per what you say, but ultimately I'm the educator here
They were speechless. Kind of shocked. It was hilarious. They then agreed to reach out to some colleagues / other teams to research and find the answer. After 20 min they followed up with an acceptable answer.
They had a working PDP-10 at the Living Computers Museum (since shut down by Paul Allen's estate). Definitely a mainframe. That thing takes up an entire room.
Most of us never had the option for work to pay for Claude Code -- some internal orgs did this. That being said I had a personal Claude Code subscription for a bit.
Honestly I find GitHub Copilot CLI (and now also the new GitHub Copilot app) quite decent. I mostly use it with Opus 4.7, or rarely with GPT-5.5. The VSCode extension is ok, but CLI or app are the better experience IMO.
Microsoft. It more than compensated for Azure not being the best product . They are incredibly more responsive, you have multiple points of contacts and escalation chain of actual humans you can meet
they will even come to your customer call or connect with their rep already working with the mutual customer and so on.
AWS has the best tech and but not as good as Microsoft service wise, they certainly improved a lot last few years and it shows but because they don’t have any enterprise apps like MS their footprint is more limited.
Google keeps talking about GCP being important but doesn’t feel anything has changed on ground
My company also used all 3 (at a very large scale / spends). MS was nice, but useless / incompetent technically. Anything non-trivial took forever to get a straight answer or resolve. We rarely got to speak directly to anyone with real expertise.
AWS, we could speak directly to Sr engineers on the relevant team. Full transparency, highly responsive. They were clearly trying to understand our issues and suggest change for both us and themselves.
Google was mostly useless. There was one team I got to talk directly to, who were great. But that was the exception.
My experience with AWS hasn't been good when we had major problems in redshift becoming unresponsive. Since it was an intermitent issue and not a full blown blackout they just shrugged and we kept having problems for months.
I can confirm. Redshift support is mediocre even for a F100 firm with TAM support if the workload is large and complex and you have some needle in the haystack causing problems like you allude to.
Practically speaking keeping an eye on locks and transactions is a good idea, as is watching out for your statistics on key core columns going bad when they shouldn't. (analyze and vacuum sometimes don't actually do anything when you need them to...)
> You need to think of Larry Ellison the way you think of a lawnmower. You don’t anthropomorphize your lawnmower, the lawnmower just mows the lawn - you stick your hand in there and it’ll chop it off, the end. You don’t think "oh, the lawnmower hates me" – lawnmower doesn’t give a shit about you, lawnmower can’t hate you. Don’t anthropomorphize the lawnmower. Don’t fall into that trap about Oracle. -Bryan Cantrill
A few years back someone at work stuck their hand in the lawnmower. I've seen this happen a few times, but that time it ended with Oracle fining us for every VirtualBox install and the company sent The IT Spanish Inquisition around to make sure we all deleted it off our computers. Fun times.
You honestly just have to treat any Oracle product as malware, and proactively scan for it / block it from being installed on employee laptops in the first place.
