> Landing projects for Set Studio has been extremely difficult, especially as we won’t work on product marketing for AI stuff, from a moral standpoint, but the vast majority of enquiries have been for exactly that
The market is speaking. Long-term you’ll find out who’s wrong, but the market can usually stay irrational for much longer than you can stay in business.
I think everyone in the programming education business is feeling the struggle right now. In my opinion this business died 2 years ago – https://swizec.com/blog/the-programming-tutorial-seo-industr...
Taking a moral stance against AI might make you feel good but doesn't serve the customer in the end. They need value for money. And you can get a lot of value from AI these days; especially if you are doing marketing, frontend design, etc. and all the other stuff a studio like this would be doing.
The expertise and skill still matter. But customers are going to get a lot further without such a studio and the remaining market is going to be smaller and much more competitive.
There's a lot of other work emerging though. IMHO the software integration market is where the action is going to be for the next decade or so. Legacy ERP systems, finance, insurance, medical software, etc. None of that stuff is going away or at risk of being replaced with some vibe coded thing. There are decades worth of still widely used and critically important software that can be integrated, adapted, etc. for the modern era. That work can be partly AI assisted of course. But you need to deeply understand the current market to be credible there. For any new things, the ambition level is just going to be much higher and require more skill.
Arguing against progress as it is happening is as old as the tech industry. It never works. There's a generation of new programmers coming into the market and they are not going to hold back.
same like StackOverflow down today and seems like not everyone cares anymore, back then it would totally cause breakdown because SO is vital
Then there's an oversupply of programmers, salaries will crash, and lots of people will have to switch careers. It's happened before.
Since then I pivoted to AI and Gen AI startups- money is tight and I dont have health insurance but at least I have a job…
Nice to have the luxury of turning your nose up at money.
Models that are trained only on public domain material. For value add usage, not simply marketing or gamification gimmicks...
Two fundamental laws of nature: the strong prey on the weak, and survival of the fittest.
Therefore, why is it that those who survive are not the strong preying on the weak, but rather the "fittest"?
Next year's development of AI may be even more astonishing, continuing to kill off large companies and small teams unable to adapt to the market. Only by constantly adapting can we survive in this fierce competition.
Can someone explain this?
* The environmental cost of inference in aggregate and training in specific is non-negligible
* Training is performed (it is assumed) with material that was not consented to be trained upon. Some consider this to be akin to plagiarism or even theft.
* AI displaces labor, weakening the workers across all industries, but especially junior folks. This consolidates power into the hands of the people selling AI.
* The primary companies who are selling AI products have, at times, controversial pasts or leaders.
* Many products are adding AI where it makes little sense, and those systems are performing poorly. Nevertheless, some companies shove short AI everywhere, cheapening products across a range of industries.
* The social impacts of AI, particularly generative media and shopping in places like YouTube, Amazon, Twitter, Facebook, etc are not well understood and could contribute to increased radicalization and Balkanization.
* AI is enabling an attention Gish-gallop in places like search engines, where good results are being shoved out by slop.
Hopefully you can read these and understand why someone might have moral concerns, even if you do not. (These are not my opinions, but they are opinions other people hold strongly. Please don't downvote me for trying to provide a neutral answer to this person's question.)
Although there’s a ton of hype in “AI” right now (and most products are over-promising and under-delivering), this seems like a strange hill to die on.
imo LLMs are (currently) good at 3 things:
1. Education
2. Structuring unstructured data
3. Turning natural language into code
From this viewpoint, it seems there is a lot of opportunity to both help new clients as well as create more compelling courses for your students.
No need to buy the hype, but no reason to die from it either.
Notice the phrase "from a moral standpoint". You can't argue against a moral stance by stating solely what is, because the question for them is what ought to be.
I wanted to make this point here explicitly because lately I've seen this complete erasure of the moral dimension from AI and tech, and to me that's a very scary development.
And it continued growing nonstop all the way through ~early Sep 2024, and been slowing down ever since, by now coming to an almost complete stop - to the point i ever fired all sales staff because they were treading water with no even calls let alone deals, for half a year before being dismissed in mid-July this year.
I think it won't return - custom dev is done. The myth of "hiring coders to get rich" is over. No surprise it did, because it never worked, sooner or later people had to realise it. I may check again in 2-3 years how market is doing, but i'm not at all hopeful.
Switched into miltech where demand is real.