131–140 of 274 posts
> One user, who asked not to be identified, said it has been impossible to advance his project since the usage limits came into effect. Vibe limit reached. Gotta start doing some thinking.
> One user, who asked not to be identified, said it has been impossible to advance his project since the usage limits came into effect. Vibe limit reached. Gotta start doing some thinking.
Who would have though including a hard depedency on third part service with unclear long term availability would be a problem! Paid compilers and remotely acessible mainframes all over again - people apparently never learn.
For developers who read and understand the code being generated, the tool could go away and it would only slow you down, not block progress.
And even if you don’t, it really isn’t a hard dependency on a particular tool. There are multiple competing tools and models to choose from, so if you can’t make progress with one, switch to another. There isn’t much lock-in to any specific tool.
> One user, who asked not to be identified, said it has been impossible to advance his project since the usage limits came into effect. Vibe limit reached. Gotta start doing some thinking.
Right, but these companies are selling their products on the basis that you can offload a good amount of the thinking. And it seems a good deal of investment in AI is also based on this premise. I don't disagree with you, but it's sorta fucked that so much money has been pumped into this and that markets seem to still be okay with it all.
The funny thing is Claude 4.0 isn't even that 'smart' from a raw intelligence perspective compared to the other flagship models. They've just done the work to tailor it specifically for proper tool using during coding. Once other models catch up, they will not be able to be so stingy on limits. Google has the advantage here given they're running on their own silicon; can optimize for it; and have nearly unlimited cas…
I don't subscribe to the $100 a month plan, I am paying API usage pricing. Accordingly I have learned how to be much more careful with Claude Code than I think other users are. The first day I used it, Claude got stuck in a loop trying to fix a problem using the same 2 incorrect solutions again and again and burnt through $30 of API credits before I realized things were very wrong and I stopped it.
Ever since then I've been getting away with $3-$5 of usage per day, and accomplishing a lot.
Anthropic needs to find a way to incentivize developers to better use Claude Code, because when it goes off the rails, it really goes off the rails.
> One user, who asked not to be identified, said it has been impossible to advance his project since the usage limits came into effect. Vibe limit reached. Gotta start doing some thinking.
Right, but these companies are selling their products on the basis that you can offload a good amount of the thinking. And it seems a good deal of investment in AI is also based on this premise. I don't disagree with you, but it's sorta fucked that so much money has been pumped into this and that markets seem to still be okay with it all.
The funny thing is Claude 4.0 isn't even that 'smart' from a raw intelligence perspective compared to the other flagship models. They've just done the work to tailor it specifically for proper tool using during coding. Once other models catch up, they will not be able to be so stingy on limits. Google has the advantage here given they're running on their own silicon; can optimize for it; and have nearly unlimited cas…
Claude is decent for sure, but if you are using these models for 'smarts', that is a whole separate problem. I also think honestly people are sleeping on Mistral's medium 3 and devstral medium. I know it isn't 'smart' either (none of them are), but for mundane tasks need valid code output, it is extremely good for the price.
Earlier quoted context omitted.
Right, but these companies are selling their products on the basis that you can offload a good amount of the thinking. And it seems a good deal of investment in AI is also based on this premise. I don't disagree with you, but it's sorta fucked that so much money has been pumped into this and that markets seem to still be okay with it all.
They're not selling them, they're still giving them away. Once the VC money runs out we'll see what the actual cost of this stuff is.
Earlier quoted context omitted.
Even if Moore's law was still in effect and the computer resources required stayed the same and compute stayed as efficient per watt (neither is true), it would just halve compute costs every 18 months. You're able to read about people hitting $4000 costs/month on the $200 plan upthread. That's 8 years until it's cost effective. Are they really ready to burn money for 8 years?
Uber operated at a loss for 9 years. They're now a profitable, market-winning business. Amazon operated at a loss for 9 years, and barely turned a profit for over a decade longer than that. They're now one of the greatest businesses of all time. Spotify operated at a loss for 17 years until becoming profitable. Tesla operated at a loss for 17 years before turning a profit. Palantir operated at a loss for 20 years bef…
They're likely burning money so I can't be pissed off yet, but we see the same Cursor as well; the pricing is not transparent. I'm paying for Max, and when I use the tooling to calculate the spend returned by the API, I can see it's almost $1k! I have no idea how much quota I have left until the next block. The pricing returned by the API doesn't make any sense.
What do you mean? That’s totally a good reason to be pissed off at them. I’m so tired of products that launch before they have a clear path to profitability.
Earlier quoted context omitted.
Claude is decent for sure, but if you are using these models for 'smarts', that is a whole separate problem. I also think honestly people are sleeping on Mistral's medium 3 and devstral medium. I know it isn't 'smart' either (none of them are), but for mundane tasks need valid code output, it is extremely good for the price.
I use o3 to brainstorm research problems, and it's been pretty useful. Especially the deep research feature.
The NLP these models can do is definitely impressive, but they aren't 'thinking'. I find myself easily falling into the habit of filtering a lot of what the model returns and picking out the good parts which is useful and relatively easy for subjects I know well. But for a topic that I am not as familiar with, that filtering (identifying and dismissing) I do is much less finessed, and a lot of care needs to be taken to not just accept what is being presented. You can still interrogate each idea presented by the LLM to ensure you aren't being led astray, and that is still useful for discovering things, like traditional search, but once you mix agents into this, things can go off the rails far too quickly than I am comfortable with.