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Claude Opus 4.6

anthropic.com

211–220 of 1001 posts

Re: Claude Opus 4.6

#212

Earlier quoted context omitted.

Same with opencode and gemini, it's disgusting Codex (by openai ironically) seems to be the fastest/most-responsive, opens instantly and is written in rust but doesn't contain that many features Claude opens in around 3-4 seconds Opencode opens in 2 seconds Gemini-cli is an abomination which opens in around 16 second for me right now, and in 8 seconds on a fresh install Codex takes 50ms for reference... -- If their m…

Why does it matter if Claude Code opens in 3-4 seconds if everything you do with it can take many seconds to minutes? Seems irrelevant to me.

I guess with ~50 years of CPU advancements, 3-4 seconds for a TUI to open makes it seem like we lost the plot somewhere along the way.

Re: Claude Opus 4.6

#214
post #59

Earlier quoted context omitted.

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?

i had claude make a snake clone and fix all the flickering in like 20 minutes with the library mentioned lol

Re: Claude Opus 4.6

#215
post #96

Earlier quoted context omitted.

Amateur. Opus 4.6 this afternoon built me a startup that identifies developers who aren’t embracing AI fully, liquifies them and sells the produce for $5/gallon. Software Engineering is over!

Bringing me back to slashdot, this thread

What did happen to ye olde slashdot anyway? The original og reddit

Re: Claude Opus 4.6

#217

Impressive results, but I keep coming back to a question: are there modes of thinking that fundamentally require something other than what current LLM architectures do? Take critical thinking — genuinely questioning your own assumptions, noticing when a framing is wrong, deciding that the obvious approach to a problem is a dead end. Or creativity — not recombination of known patterns, but the kind of leap where you r…

When I first started coding with LLMs, I could show a bug to an LLM and it would start to bugfix it, and very quickly would fall down a path of "I've got it! This is it! No wait, the print command here isn't working because an electron beam was pointed at the computer".

Nowadays, I have often seen LLMs (Opus 4.5) give up on their original ideas and assumptions. Sometimes I tell them what I think the problem is, and they look at it, test it out, and decide I was wrong (and I was).

There are still times where they get stuck on an idea, but they are becoming increasingly rare.

Therefore, think that modern LLMs clearly are already able to question their assumptions and notice when framing is wrong. In fact, they've been invaluable to me in fixing complicated bugs in minutes instead of hours because of how much they tend to question many assumptions and throw out hypotheses. They've helped _me_ question some of my assumptions.

They're inconsistent, but they have been doing this. Even to my surprise.

Re: Claude Opus 4.6

#218
post #185

This is the first model to which I send my collection of nearly 900 poems and an extremely simple prompt (in Portuguese), and it manages to produce an impeccable analysis of the poems, as a (barely) cohesive whole, which span 15 years. It does not make a single mistake, it identifies neologisms, hidden meaning, 7 distinct poetic phases, recurring themes, fragments/heteronyms, related authors. It has left me completel…

This sounds wayyyy over the top for a mode that released 10 mins ago. At least wait an hour or so before spewing breathless hype.

Re: Claude Opus 4.6

#219
post #50

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…

The cost per token served has been falling steadily over the past few years across basically all of the providers. OpenAI dropped the price they charged for o3 to 1/5th of what it was in June last year thanks to "engineers optimizing inferencing", and plenty of other providers have found cost savings too. Turns out there was a lot of low-hanging fruit in terms of inference optimization that hadn't been plucked yet. >…

It seems it is true for gemini because they have a humongous sparse model but it isn't so true for the max performance opus-4.5/6 and gpt-5.2/3.

Re: Claude Opus 4.6

#220
post #114
post #38

Earlier quoted context omitted.

CC has >6000 open issues, despite their bot auto-culling them after 60 days of inactivity. It was ~5800 when I looked just a few days ago so they seem to be accelerating towards some kind of bug singularity.

Half of them were probably opened yesterday during the Claude outage.

Nah, it was at like 5500 before.
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