Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Claude Opus 4.6

anthropic.com

Post reply on HN
Print view View original

781–790 of 1001 posts

Re: Claude Opus 4.6

#781

Post by anshumankmr »

hmaxwell wrote: post #506

I just tested both codex 5.3 and opus 4.6 and both returned pretty good output, but opus 4.6's limits are way too strict. I am probably going to cancel my Claude subscription for that reason: What do you want to do? 1. Stop and wait for limit to reset 2. Switch to extra usage 3. Upgrade your plan Enter to confirm · Esc to cancel How come they don't have "Cancel your subscription and uninstall Claude Code"? Codex last…

IF it helps, try hedging b/w Copilot, Claude, OpenCode and ChatGPT. That is how I have been managing off late. Claude for planning and some nasty things. ChatGPT for quick questions. OpenCode with Sonnet4.5 on Bedrock and Copilot with Sonnet4.5/Opus4.5 (LOL)

Re: Claude Opus 4.6

#782

Post by mrgaro »

magicalist wrote: post #316
chis wrote: post #231

Earlier quoted context omitted.

It's quite clear that these companies do make money on each marginal token. They've said this directly and analysts agree [1]. It's less clear that the margins are high enough to pay off the up-front cost of training each model. [1] https://epochai.substack.com/p/can-ai-companies-become-profi...

> They've said this directly and analysts agree [1] chasing down a few sources in that article leads to articles like this at the root of claims[1], which is entirely based on information "according to a person with knowledge of the company’s financials", which doesn't exactly fill me with confidence. [1] https://www.theinformation.com/articles/openai-getting-effic...

But there are companies which are only serving open weight models via APIs (ie. they are not doing any training), so they must be profitable? here's one list of providers from OpenRouter serving LLama 3.3 70B: https://openrouter.ai/meta-llama/llama-3.3-70b-instruct/prov...

Re: Claude Opus 4.6

#783

Post by apples_oranges »

bobbylarrybobby wrote: post #729
legitster wrote: post #72

I'm still not sure I understand Anthropic's general strategy right now. They are doing these broad marketing programs trying to take on ChatGPT for "normies". And yet their bread and butter is still clearly coding. Meanwhile, Claude's general use cases are... fine. For generic research topics, I find that ChatGPT and Gemini run circles around it: in the depth of research, the type of tasks it can handle, and the qual…

I really like that Claude feels transactional. It answers my question quickly and concisely and then shuts up. I don't need the LLM I use to act like my best friend.

fyi in settings, you can configure chatGPT to do the same

Re: Claude Opus 4.6

#784

Post by mrgaro »

Someone1234 wrote: post #383
nodja wrote: post #363

Earlier quoted context omitted.

> A year or more ago, I read that both Anthropic and OpenAI were losing money on every single request even for their paid subscribers, and I don't know if that has changed with more efficient hardware/software improvements/caching. This is obviously not true, you can use real data and common sense. Just look up a similar sized open weights model on openrouter and compare the prices. You'll note the similar sized mode…

> This is obviously not true, you can use real data and common sense. It isn't "common sense" at all. You're comparing several companies losing money, to one another, and suggesting that they're obviously making money because one is under-cutting another more aggressively. LLM/AI ventures are all currently under-water with massive VC or similar money flowing in, they also all need training data from users, so it is v…

There are companies which are only serving open weight models and not doing any training, so they must be profitable? Check for example this list https://openrouter.ai/meta-llama/llama-3.3-70b-instruct/prov...

Re: Claude Opus 4.6

#786

Post by happyraul »

bilekas wrote: post #777
gbalduzzi wrote: post #741

Earlier quoted context omitted.

Neat idea, but why should I use AI for a find and replace? It feels like shooting a fly with a bazooka

You're missing the point, it's only a testing excersize for the new model.

No, the point is that you can set up the testing exercise without using an LLM to do a simple find and replace.

Re: Claude Opus 4.6

#787

Post by hauntsaninja »

clbrmbr wrote: post #618
fragmede wrote: post #591

Earlier quoted context omitted.

I believe you when you say you're not changing the model file loaded onto the H100s or whatever, but there's something going on, beyond just being slower, when the GPUs are heavily loaded.

I do wonder about reasoning effort.

Reasoning effort is denominated in tokens, not time, so no difference beyond slowness at heavy load

(I work at OpenAI)

Re: Claude Opus 4.6

#788

Post by callamdelaney »

gizmodo59 wrote: post #107

5.3 codex https://openai.com/index/introducing-gpt-5-3-codex/ crushes with a 77.3% in Terminal Bench. The shortest lived lead in less than 35 minutes. What a time to be alive!

Anthropic models generally are right first time for me. Chatgpt and Gemini are often way, way out with some fundamental misunderstanding of the task at hand.

Re: Claude Opus 4.6

#790

Post by jsw97 »

kzahel wrote: post #378
om8 wrote: post #151

Earlier quoted context omitted.

Is there a way to disable it? Sometimes I value agent not having knowledge that it needs to cut corners

Claude told me he can disable it by putting instructions in the MEMORY.md file to not use it. So only a soft disable AFAIK and you'd need to do it on each machine.

I ran into this yesterday and disabled it by changing permissions on the project’s memory directory. Claude was unable to advise me on how to disable. You could probably write a global hook for this. Gross though.
Post reply on HN