I'm really annoyed at github for only allowing export of a single month of usage.
There were a lot of people (here included) that were absolutely abusing github - getting Opus to generate its own subagents for days on end with a single premium request. If THAT'S $3k/mo, I'm honestly not worried.
I was just asking sonnet, 5.4, opus, in single agent session to fix a problem for 20 minutes...if THAT'S $3k/mo, then AI is truly cooked.
Yeah, I don't doubt that there was some abuse going on. But keep in mind there are plenty of reports out there that companies were setting up tokenmaxing leaderboards essentially encouraging this type of behavior from their employees. So I think the broader point here is that the insane growth that Anthropic has experienced over the last six months might be a temporary blip due to companies scrambling to take advantage of these more powerful agentic capabilities while not fully understanding the resulting costs.
I think for your use case, the most likely outcome is that you are going to need to be on a $100-200 month plan if you want access to the cutting edge models. But on the other end of the spectrum, you could probably get closer to $10-20 month using Chinese models. My usage was closer to yours, with the occasional tokenmaxxing sprint just to experiment a bit and test out the limits of the plan. I am not quite sure what I will be doing next month once it moves to API billing but I suspect I will move to openrouter and one of the open source CLI harnesses.
I've so far been anti-chinese memory in my recommendations, not because it's Chinese (I don't really trust any big organisation/govt other than the EU?) but because they've been very new, and it's not worth PC stability for saving $50.
However with corsair giving it their blessing, and their technology having matured a bit (a lot?), and more reviews showing good stability (longevity I suppose, is TBD) they're definitely worth recommending these days.
It absolutely is in Australia, and I suspect Europe (from when I went 5 or so years ago). Even mostly possible in Houston when I was there 15 years ago.
The US is even more cooked than I thought if you can get a bunch of fresh veggies from a grocery store.
> The US is even more cooked than I thought if you can get a bunch of fresh veggies from a grocery store.
Depends entirely on where someone is. I'd say the majority of the population can get to fresh veg. But there are people, particularly in rural and poor communities, who are isolated from fresh or frozen veg. We have "dollar stores" which go up in the poorest communities and are usually a sure sign of a food desert.
I'd say that anyone with a car can probably access fresh veg. They might have to travel some distance to do that.
I think art/music is in a weird dichotomy of sorts, for me at least. It's both the most and least impacted by AI. It's trivial to go "hey suno give me music" but I refuse outright to listen to AI music as knowing it's statistical noise (of sorts) I don't really get value/enjoyment out of it.
I'm confused how the world itself works - or would work - at scale. Taking that minecraft clip on the link, if I jump down a cave first, and the model decides the cave goes off to the left. A few hours later I come back, and this time the model decides the cave bends to the right?
I don't think it's a great approach for an actual game. In this case they're demonstrating that the model can create a shared space that's consistent for many players/users, for a short time. But like you say it would probably not endure.
Although it does put me in mind of playing daggerfall years ago, which had randomly generated dungeons that didn't always work. You could sometimes get trapped in architecture, jump from a height with no way to climb back up again. There was a reason Bethesda moved away from that
The only way you can get away with creating an application without touching sql is of you offload the logic to your backend language, and then I don't think you'd be efficient enough to scale.
Also can someone actually understand the logic of joins, indexes, pks, etc enough to create an efficientand scalable db, and not simply have learned sql by proximity?
> The only way you can get away with creating an application without touching sql
Please look at app platforms like Firebase[1]. There are absolutely complex Web applications running at scale that do not use SQL anywhere in the stack.
Aside from that, MongoDB and Redis are 17 years old; CouchDB is over 20. NoSQL is well-established at this point. All of the hyperscalers offer proprietary NoSQL databases, and have done so for years. A large number of developers uses those databases in production.
In our API-centric environment, there are a lot of apps that don't do much in the way of managing their own data directly at all, using mixtures APIs for auth and other key application functions.
> can someone actually understand the logic of joins, indexes, pks, etc enough to create an efficientand scalable db
If you are not using a relational database, these concepts do not necessarily apply.
> 1 will hit the jackpot and get a 100M ARR company with 4 people.
I will point out that at the point where you get an 100M ARR it seems worth it to hire more people regardless.
But I'm guessing that the bar to be hired will be EXTREMELY high, because IMO the best people to hire people in future heavy-AI-automation-era would be basically founder-level visionary leaders who are also subject matter experts who can consistently make good decisions, and giving them 1M+ salaries in exchange.
If you have 100M ARR you can probably afford like 30 of these employees (and the probably exorbitant recruiting fees required to find them) and have them command AI all day. So your company will be extremely small in headcount but still more than 4 people.
(oh and how will this affect wealth inequality? i prefer to not think about it)
I love this little utopian scenarios that make HN average users wet because they relentlessly avoid considering the core issues with mid to long term AI sustainability.
Namely, dependence on external models, fucked up model costs subsidization, financial exposure to a downturn that could negatively affect the core product (models).
Yet this is the inevitable future and if you dare raising concern you’re a luddite. Man what have we come too
Anything someone can vibe code that gains any level of mild traction can then easily duplicated by all their competitors and in a fraction of the time because the actual hard part, determining the products edges, has already been done for them.
Agreed. This is why I think that platform/network effects will be mandatory to stay afloat in a lot of the tech market pretty soon. (Or other types of unfair advantages that are truly hard to overcome)
Even with network effects, it's still a race between you building a ecosystem and your competitors catching up to you.
However, if you DO have some sort of network effect moat and your competitors DON'T (yet), then you have the only advantage that matters in the world, because remember, vibe-copying goes both ways. You can copy your competitors feature-by-feature just like they can copy you. So you'll just always keep up feature parity while everyone only uses you because you're the established player with the biggest ecosystem, and soon enough you'll turn your temporary advantage into a permanent one.
Note: legacy platforms can't really benefit from this because you probably need to rewrite your product from scratch to fit any sort of cutting-edge AI dev workflow. Whoever creates a AI-native platform and scales it first wins.
> 4 will have an inefficient app, suffer reputational damage
Have we been living in different realities? I can't remember any example of companies in the past 10 years that have suffered reputational damage related to their inefficient apps. And there have been plenty of inefficient apps...
I mean a lot do get reputational damage (e.g. a lot of people hate Jira because how slow it is, or Microsoft Teams - same story) - it's just that nothing comes of it, so "suffered" is perhaps the wrong word here. People curse them and still use them.
>- 2 won't use AI at all and simply be left behind and stagnate (or go bust)
Would why would they? As if their software being made faster is the differentiator?
In my career as a consumer (lol), choice was never about that. It was about the business proposition, pricing, quality of implementation, guarantees the company is gonna be there long term, them not being scumbags, and so on.
If anything software churn put me off, especially when it come at the cost of messing with my established use, or stability.
Yeah, but no needs to pay for software SaaS anymore so no-one is going to be getting a lucky 100MRR business off pure vibecoded software as anyone can just make that in house.
I'm curious to know why you think that.
In a sense, I have a feeling we replaced all the middle-men for a single one who controls who and what can be sold and when. But the middle man is there closing whole Venice for personal reasons
There were a lot of people (here included) that were absolutely abusing github - getting Opus to generate its own subagents for days on end with a single premium request. If THAT'S $3k/mo, I'm honestly not worried.
I was just asking sonnet, 5.4, opus, in single agent session to fix a problem for 20 minutes...if THAT'S $3k/mo, then AI is truly cooked.
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