Those feelings fall apart very quickly though. A project from a non-technical person may seem to roll out well, but they aren't seeing the parts that are misguided, not generalizable, or plainly wrong. MVPs are most useful because it means someone with domain knowledge was able to not just put together a product, but they understand the difficult parts, what will work and what won't, whether the pursuit is viable. Vibecoding doesn't do that exactly. It produces something that looks like an MVP, but who knows.
To me, intoxicating is a better word for that feeling than empowering.
I think the problem is there isn't a fortune there. It would be a successful endeavor, but not something to rake in huge piles of cash. The kinds of leaders and investors who could pull off what you're describing are instead working where they can make multi-millions rather that multi-hundreds of thousands.
I feel like if you’re going to write an article like this, you should at least engage with why it’s happening. Maybe deep down for some of the participants it’s a kind of moral thing, but mostly this is because payments for NSFW/porn stuff are dramatically more expensive. All of the “stuff” payment processors are doing is harder for NSFW/porn content, so that’s the main reason the processors want these companies to separate/cutoff that type of content.
EDIT: I’m kind of sensitive to getting downvotes on a comment. Do the downvoters think this is a high quality article giving a good amount of context for the upstream policy choices? Do the downvoters take me for supporting some kind of decision like this? Do you think I’m just wrong on my understanding of why these policies are made? I’d really encourage you to look into it. Google or chat something like “why do payment processors ban adult content”.
Chargebacks don't cost a payment network anything.
They keep the payment fee, and they charge you a large chargeback fee. They don't lose or spend any money out of their own pocket on it.
If you have high fraud rates, they charge you a higher per payment fee.
Our company is both a payment network and a merchant, depending on specific product lines and such. We spend a lot of time preventing credit card fraud on our merchant lines of business, and very little on our payment line of business, because chargebacks cost us nothing there.
As designed.
I can't believe people keep perpetuating this lie, that they very obviously haven't thought critically about. It's so frustrating. It's like everyone just repeating gormlessly that the sky is actually purple when they can just look at it.
Chargebacks. "Oh, honey, I don't know how that got there. A hacker must've stolen my card! I'll call the bank immediately!" Worked in the adult industry and traditional e-commerce. It's a perennial problem.
> Chargebacks. "Oh, honey, I don't know how that got there. A hacker must've stolen my card! I'll call the bank immediately!" Worked in the adult industry and traditional e-commerce. It's a perennial problem.
As explained elsewhere, this is a problem for the merchants, not for the platforms. The platforms don't lose money on this, and may in fact profit off of it.
I managed an adult platform with 200 employees and $75 million in revenue and a dedicated Risk Analysis team. I think I know a thing or two about this, but thanks for the input.
Police and fire fighters have tons of opportunities for overtime. they get paid absurd amounts of money to do it. It’s another thing that badly needs reform.
That is your choice, however. Plenty of people choose to pay for a new battery rather than drop hundreds of dollars on a new phone. Apple still offers battery service for $69 for the iPhone 6, a phone released 12 years ago. You could have a new battery put in it today and then go a few more years. Nobody is forcing you to buy a whole new phone.
I find the idea of learning from simulated data so unintuitive. How can you radically improve your model with just your model? I take it people do it, so it must work, but i just don’t understand it at all.
Well there's a world simulation model and then the driving model.
You can imagine improving i.e. a specialized math model (problem in, theorem out) with a normal LLM that knows lots of problems and theorems generally.
I think people are skipping over the fact that Google has had cars driving around taking photos for 20 years. I imagine that was used to build the world model in the first place.
People can spend their time as they choose, but if you feel the need to post about it online don't be surprised if someone offers their opinion. If they don't want feedback then don't call attention to it.
To me, intoxicating is a better word for that feeling than empowering.
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