csomar

Apple still stand because of Software which China sucks at. Good thing the US is not about to destroy its software industry by investing all of its money on AI.

Most debit/prepaid cards will get rejected. Credit Cards technically have a limit but they really don't. It's an open line to your finances.

This is by design. Anthropic treat users as paying workers (how futuristic!). Their end game is to replace software developers (and it's not like they are trying to hide that?)

If anyone wants to try SVG generation from different models, I made this: https://codeinput.com/svg (here is an older generation: https://codeinput.com/s/5KEGl1e3rB3)

You still need an OpenRouter API Key and be careful this can burn quite a bit of money.

They’re just pricing it in line with capabilities.

So... convergence?

but they’re managed such that the average subscription turns a healthy profit.

It didn't work like that, or at least that's not how it played out. People max-out their subs all the time which is why strict and multiple limits were implemented by all providers. Also, I subscribe to z.ai and recently they dropped the quota significantly that now their sub offers less than Claude and OpenAI. It's still x5-6 what it would cost on API costs though.

inference is just cheaper in terms of ops TCO than people assume, and API margins are very high.

API margins (at least american ones) are probably healthy. But I don't think that inference is that cheap. It would cost 300-500k to just run GLM 5.2. There are lots of other factors too: reliability (can you keep the GPUs running all time), electricity cost, sys. admin costs, location costs, etc.. I wouldn't be surprised if the API margins are quite close to operational costs.

It seems the subsidized era is nearing its end and we'll see a convergence on API pricing before a pulling of subscriptions pricing.

I couldn't get it to work. The whole thing froze.

Are you? Would be happy to die by 65-70 instead of struggling through 80s…

You picked a bad example because this is a thing where LLMs excel. A human doesn't know that tomato doesn't play well in a fruit salad until he learns it; not that different from LLMs.

What LLMs lack, from my experience, is two things: First, a long term memory (even a zoomed out one) and Second, the ability to execute a multi-step task without fizzling out. Upon adversity, LLMs breakdown and start making shit up. The newer models are better (and that's the difference between Fable/5.6 and GLM 5.2) but still have a very limited ability to execute any tedious planning tasks.

Good to know it's not only problematic on the free tier. I wanted to sign up to get the free credits but couldn't finish the setup. I tried again now and it accepted/charged my card ($1 verification test) but then after the account was created it said I need a credit card?

We have very few midair collisions every year and they almost all happen near the airports.

So now instead of having the slow-axx Cloudflare turnstile slowing down your requests, you get surprised with a "You are a BOT!!!" while you are conducting your business on a website.

I already quickly close any website that I do not need for business purposes when it shows me the Cloudflare spinner. Now I might have to start considering competitors who do not implement this shit.

https://codeinput.com - currently working on a zapier alternative based on web assembly workers.

A parallel is crypto. There are thousands of multi-million dollars projects that are now completely abandoned. It's the web otherwise this thing will look like a Chinese ghost city. AI will have a similar fate except that it seems like they are about spend orders of magnitude more money.

AI is useful as a retrieval device but not for planning/writing foundational code. Maybe UI/UX in React but for most other things it's a time bomb.

We don't know the specifics of openai fund raises, but there are generally clawback clauses.

On the other hand, investors might want to claw back on their investments if they think OpenAI is going south. OpenAI is a company built purely on momentum, so a 180 flip is part of the game.

What privilege? Anyone's life (someone who lives in the Valley) is worth more than 95k. Anyone who is a software engineer at Apple, is definitively worth more than 95k. The kid is dumb. Not sure how Apple interview processes are these days.

Surviving is different from living. You can survive in the Philippines for $100/month. I do not wish it on anybody.

Depends on what you mean by login wall. They are, technically, behind a login/auth wall as you can only make 60 requests to their API per hour. Scrapping these days is extremely challenging as defenses do in-depth checks on your browser to make sure you are a "real" person.

People live in very stochastic and volatile environments and they manage that in ways no LLMs currently ever can. (ie: imagine sending an LLM all the data - sensory/auditory/etc… - that a human receive)

People’s job is to partially reign in this volatile environment by creating processes with stable output.

The problem is that with text/code, judgement is hard. Here is what it looks like for physical activity: https://www.youtube.com/shorts/lK7TjujKQLw It's hard to see how that it's not useful at best and could be a disaster for any unsupervised use.

ISIS-style soldiers usually have light-weaponry because they need to be mobile. Having heavy artillery or bombers will make them an easy target for an organized army which they are very not equipped to fight. Their advantage is in there ability to hit in random unprotected areas with little damage but to do it constantly and unpredictably.

Not only that, but thy need to have the same tokens at the same time? I just can't see how likely this is.

It'll find a non-existent bug - fix it - figure out it broke a previously working thing - try to fix again - etc..

The "keep improving" the code base prompt have been tried and it never works. The LLM has no consciousness of where to stop and where to draw the lines of reasonableness.

I talked with a friend on a different field (academic) and he had to re-review all things written by AI. Basically, he used AI to read/summarize/find stuff in large academic papers but realized later that many times AI makes glaring mistakes that on a first read pass the smell test.

I mean at least crypto provided value to criminals, tax evaders and Trump? (regardless of what you think of that). I don't see a parallel with AI.

I am now in the process of fixing code I wrote using AI. I have come to the realization that AI can't really write software and I am annoyed that it took me that long (months) to realize that.

Please only worry about the USA. That's enough insanity the world can handle at a time.

Photopea predates LLM coding by a lot. The fact that it was made by single developer is not particular, so was Figma.

The reality is, Photopea is unique because no one with LLMs can easily produce something similar. Also Photopea does not compare to Adobe offering similar to how Figma does. Not even close.

It's simple: AI can't really write software. AI is good in generating garbage code averaged from millions of repos.

Here is an example of software that can scale with a single person assuming AI can write software: a web-based alternative to Photoshop built on wasm. Figma is analogous to that and it's worth $10Bn.