You can get your HN profile analyzed by it and it's pretty funny :) https://hn-wrapped.kadoa.com/ I'm using this to test the humor of new models.
Like, most of these posts are legit funny.
831–840 of 1001 posts
You can get your HN profile analyzed by it and it's pretty funny :) https://hn-wrapped.kadoa.com/ I'm using this to test the humor of new models.
Like, most of these posts are legit funny.
Ahha, recently my daugher come to me with 3rd grade math problem. "Without rearranging the digits 1 2 3 4 5, insert mathematical operation signs and, if necessary, parentheses between them so that the resulting expression equals 40 and 80. The key is that you can combine digits (like 12+3/45) but you cannot change their order from the original sequence 1,2,3,4,5" Grok3, Claude, Deepseek, Qwen all failed to solve this…
Looks correct to me on 3.7 extended (albeit with loooots of thinking) although I'm incredibly exhausted so I might not be mathing correctly: https://claude.ai/share/dfb37c1a-f6a8-45a1-b987-e6d28e205080
12 * 3 + 4 = 40
1 * 2 * 3 * 4 * 5 / 3 = 40
Earlier quoted context omitted.
The problem with the API is that it, as it says in the documentation, could cost $100/hr. I would pay $50/mo or something to be able to have reasonable use of Claude Code in a limited (but not as limited) way as through the web UI, but all of these coding tools seem to work only with the API and are therefore either too expensive or too limited.
> The problem with the API is that it, as it says in the documentation, could cost $100/hr. I've used https://github.com/cline/cline to get a similar workflow to their Claude Code demo, and yes it's amazing how quickly the token counts add up. Claude seems to have capacity issues so I'm guessing they decided to charge a premium for what they can serve up. +1 on the too expensive or too limited sentiment. I subscribed…
Like $5+ was cache read ($0.05/token vs $3/token) so it would have cost $300+
You can get your HN profile analyzed by it and it's pretty funny :) https://hn-wrapped.kadoa.com/ I'm using this to test the humor of new models.
> Your salary is so low even your legacy code feels sorry for you. > You're the only person on HN who thinks $800/month is a salary and not a cloud computing bill. ouch
Is it actually good at solving complex code or is it just garbage and people are lying about it as usual? In my experience EXTENSIVELY using claude 3.5 sonnet you basically have to do everything complex or you're just introducing massive amounts of slop code into your code base that while functional is nowhere near good. And for anything actually complex like requires a lot of context to make a decision and has to be…
I usually ask the models to extend a small parser/tree-walking interpreter with a compiler/VM.
Up until Claude 3.7 the models would propose something lazy and obviously incomplete. 3.7 generated something that looks almost right, mostly works, but is so overcomplicated and broken in such a way, that I rather delete it and write it from scratch. Trying to get the model to fix it resulted in running in circles, spitting out pieces of code that didn't fit the existing ones etc.
Not sure if I prefer the former or the latter tbh.
Earlier quoted context omitted.
Yep totally agree. It will also depend who captures the most eyeballs. ChatGPT is already my default first place to check something, where it was Google for the previous 20+ years.
Eyeballs aren’t enough though. Unlike Google ChatGPT is very expensive to run. It’s unlikely they can just slap ads on it like Google did.
The point I wonder about is the sustainability of every query being 30+ requests. Site owners aren't ready to have 98% of their requests be non-monetizable bot traffic. However, sites that have something to sell are..
I am not sure how good these Exercism tasks are for measuring how good at a model with coding. My experience is that these models could write a simple function and get it right if it does not require any out of the box thinking (so essentially offloading the boilerplate part of coding). When it comes to think creatively and have a much better solution to a specific task that would require the think 2-3 steps ahead th…
I think many of the "AI can do coding" narratives don't see what coding means in real situations. It's finding out why "jbdoe1337" added this large if/else around the entire function body back in 2016 - it seems important business logic, but the commit just says "updated code". And how the h*ll this interaction between the conf.ini files, the conf/something.json and the ENV vars works. Why sometimes the ENV var overr…
Earlier quoted context omitted.
With no moat, they aren't placed to capture much value; moats are what stops market competition from driving prices to the zero economic profit level, and that's even without further competition from free products that are being produced by people who aren’t even trying to support themselves in the market you are selling into, which can make even the zero economic profit price untenable.
Market competition doesn't work in an instant; even without a moat, there's plenty of money they can capture before it evaporates. Think pouring water from the faucet into a sink with open drain - if you have high enough flow rate, you can fill the sink faster than it drains. Then, when you turn the faucet off, as the sink is draining, you can still collect plenty of water from it with a cup or a bucket, before the s…
Sure, in a hypothetical market where before they try to extract profits most participants aren't losing money with below-profitable prices trying to keep mindshare. But you’d need a breakthrough around which a participant had some kind lf a moat to get, even temporarily, there in the LLM market.
Earlier quoted context omitted.
With no moat, they aren't placed to capture much value; moats are what stops market competition from driving prices to the zero economic profit level, and that's even without further competition from free products that are being produced by people who aren’t even trying to support themselves in the market you are selling into, which can make even the zero economic profit price untenable.
Market competition doesn't work in an instant; even without a moat, there's plenty of money they can capture before it evaporates. Think pouring water from the faucet into a sink with open drain - if you have high enough flow rate, you can fill the sink faster than it drains. Then, when you turn the faucet off, as the sink is draining, you can still collect plenty of water from it with a cup or a bucket, before the s…
The infrastructure side of things, tens of billions and probably hundreds of billions going in, may not be fantastic for investors. The return on capital should approach cost of capital if someone does their job correctly. Add in government investment and subsidies (in China, the EU, the United States) and it become extremely difficult to make those calculations. In the long term, I don't think the AI infrastructure will be overbuilt (datacenters, fabs), but like the telecom bubble, it is easy to end up in a position where there is a lot of excess capacity and the way you made your bet means getting wiped out.
Of course if you aren't the investor and it isn't your capital, then there is a tremendous amount of money to be made because you have nothing to lose. I've been around a long time, and this is the closest thing I've felt to that inflection point where the web took off.
Claude 3.7 Sonnet scored 60.4% on the aider polyglot leaderboard [0], WITHOUT USING THINKING. Tied for 3rd place with o3-mini-high. Sonnet 3.7 has the highest non-thinking score, taking that title from Sonnet 3.5. Aider 0.75.0 is out with support for 3.7 Sonnet [1]. Thinking support and thinking benchmark results coming soon. [0] https://aider.chat/docs/leaderboards/ [1] https://aider.chat/HISTORY.html#aider-v0750
It's amazing what Deepseek is putting on the table while being full open source.