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Claude Opus 4.6

anthropic.com

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Re: Claude Opus 4.6

#51

Post by Havoc »

Someone1234 wrote: post #19

Does anyone with more insight into the AI/LLM industry happen to know if the cost to run them in normal user-workflows is falling? The reason I'm asking is because "agent teams" while a cool concept, it largely constrained by the economics of running multiple LLM agents (i.e. plans/API calls that make this practical at scale are expensive). A year or more ago, I read that both Anthropic and OpenAI were losing money o…

Saw a comment earlier today about google seeing a big (50%+) fall in Gemini serving cost per unit across 2025 but can’t find it now. Was either here or on Reddit

Re: Claude Opus 4.6

#54

Post by data-ottawa »

I wonder if I’ve been in A/B test with this.

Claude figured out zig’s ArrayList and io changes a couple weeks ago.

It felt like it got better then very dumb again the last few days.

Re: Claude Opus 4.6

#55

Post by 3abiton »

Someone1234 wrote: post #19

Does anyone with more insight into the AI/LLM industry happen to know if the cost to run them in normal user-workflows is falling? The reason I'm asking is because "agent teams" while a cool concept, it largely constrained by the economics of running multiple LLM agents (i.e. plans/API calls that make this practical at scale are expensive). A year or more ago, I read that both Anthropic and OpenAI were losing money o…

It's not just that. Everyone is complacent with the utilization of AI agents. I have been using AI for coding for quite a while, and most of my "wasted" time is correcting its trajectory and guiding it through the thinking process. It's very fast iterations but it can easily go off track. Claude's family are pretty good at doing chained task, but still once the task becomes too big context wise, it's impossible to get back on track. Cost wise, it's cheaper than hiring skilled people, that's for sure.

Re: Claude Opus 4.6

#56

Post by zozbot234 »

Someone1234 wrote: post #19

Does anyone with more insight into the AI/LLM industry happen to know if the cost to run them in normal user-workflows is falling? The reason I'm asking is because "agent teams" while a cool concept, it largely constrained by the economics of running multiple LLM agents (i.e. plans/API calls that make this practical at scale are expensive). A year or more ago, I read that both Anthropic and OpenAI were losing money o…

> i.e. plans/API calls that make this practical at scale are expensive

Local AI's make agent workflows a whole lot more practical. Making the initial investment for a good homelab/on-prem facility will effectively become a no-brainer given the advantages on privacy and reliability, and you don't have to fear rugpulls or VC's playing the "lose money on every request" game since you know exactly how much you're paying in power costs for your overall load.

Re: Claude Opus 4.6

#58

Post by CooCooCaCha »

gjsman-1000 wrote: post #20
blibble wrote: post #17

> We build Claude with Claude. Our engineers write code with Claude Code every day well that explains quite a bit

Also explains why Claude Code is a React app outputting to a Terminal. (Seriously.)

It’s really not that crazy.

React itself is a frontend-agnostic library. People primarily use it for writing websites but web support is actually a layer on top of base react and can be swapped out for whatever.

So they’re really just using react as a way to organize their terminal UI into components. For the same reason it’s handy to organize web ui into components.

Re: Claude Opus 4.6

#59

Post by tayo42 »

gjsman-1000 wrote: post #20
blibble wrote: post #17

> We build Claude with Claude. Our engineers write code with Claude Code every day well that explains quite a bit

Also explains why Claude Code is a React app outputting to a Terminal. (Seriously.)

Is this a react feature or did they build something to translate react to text for display in the terminal?
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