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Claude Code May–August 2026 weekly limits promotion

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Re: Claude Code May–August 2026 weekly limits promotion

#91

I think the difference between the Anthropic token maximization approach (vibe code all the things!) and OpenAI's focus on efficiency, terseness and token reduction are going to be the defining features of who wins the long-term race. My money is on the more efficient solution. Even if Anthropic can win some benchmarks by using 3x tokens over 3x time, it is a terrible base to build toward the future. Users are no lon…

You've articulated what I found unsettling about Boris' pov that "coding is a solved problem". I listened to a few of his talks and was instinctively off-put by that sentiment. I figured a fellow programmer would understand and speak on the nuances.

Granted it did make me think about my biases and to lean into more future facing inevitabilities. But you've nailed it, for Boris and Anthropic, they are betting that coding is a solved problem in the sense that any person can one-shot any random idea and the output will be in some abstract sense "good". And then at what cost and toward what end?

Re: Claude Code May–August 2026 weekly limits promotion

#92

Will they, though? I could see Anthropic extending it since OpenAI cut the pricing of Sol by 50% for the time being.

Sure seems like OAI is using their compute/capital advantage to dump. Seems improbable they're making a profit at those levels.

Why, it seems like the supply is limited by the ability to provide, and the demand is limited by market alienation.

They raise their prices too high, a lot of customers will still buy but be unhappy about it, it's burning goodwill for money. If they drop their prices too low they have overwhelming demand.

They could be making money hand over fist for all we know. We don't really know how much compute is being used, nor how much it cost them.

Re: Claude Code May–August 2026 weekly limits promotion

#93

I have no idea why anyone would spend the money Anthropic asks for Claude models these days. There was a brief window in time when it was worth the money to use them a bit through GitHub Copilot, but there's no way in hell I'm spending that for Claude Sonnet when DeepSeek is basically doing all of my work right now.

The charge me exactly the same: $100.

Re: Claude Code May–August 2026 weekly limits promotion

#94
post #79

I think the difference between the Anthropic token maximization approach (vibe code all the things!) and OpenAI's focus on efficiency, terseness and token reduction are going to be the defining features of who wins the long-term race. My money is on the more efficient solution. Even if Anthropic can win some benchmarks by using 3x tokens over 3x time, it is a terrible base to build toward the future. Users are no lon…

I really would like to see OpenAI’s focus on efficiency but everytime I use Codex, it wastes tokens like there’s no tomorrow, hitting week limit in a day, where I’m able to use Claude just fine. Maybe it’s based on the codebase, I don’t know, but I have better results with Claude than Codex.

same boat.

gpt 5.5/5.6 goes further on its own much more often than opus 4.8/5 does. codex capped ~300k context when claude does 1m.

I don't feel codex is saving tokens, and result is usually not as good imo.

Re: Claude Code May–August 2026 weekly limits promotion

#95

I think the difference between the Anthropic token maximization approach (vibe code all the things!) and OpenAI's focus on efficiency, terseness and token reduction are going to be the defining features of who wins the long-term race. My money is on the more efficient solution. Even if Anthropic can win some benchmarks by using 3x tokens over 3x time, it is a terrible base to build toward the future. Users are no lon…

> who wins the long-term race Isn’t the race between Chinese open-weight models and the others more decisive for the future?

it'll all be centralized models justifying their capability against local inference in, maybe 3 years or less

once we have a bit more memory fab capacity and the insane bottomless investment in AI giants realizes there is a bottom, local hardware will catch up with model performance to the extent that centralized inference will be downgraded to special cases or for orgs that find it cheaper than buying expensive hardware

but really most power users are going to have 1 TB unified RAM and local models that will do well enough

for light office use you can still have a cheap laptop and a claude subscription

Re: Claude Code May–August 2026 weekly limits promotion

#96

I think the difference between the Anthropic token maximization approach (vibe code all the things!) and OpenAI's focus on efficiency, terseness and token reduction are going to be the defining features of who wins the long-term race. My money is on the more efficient solution. Even if Anthropic can win some benchmarks by using 3x tokens over 3x time, it is a terrible base to build toward the future. Users are no lon…

Claude used to be 10x more efficient. I think there are no barriers of entry between one coding agent and the other. Therefore, I expect them to reverse as soon as people switch. At least this is what I will do.

Re: Claude Code May–August 2026 weekly limits promotion

#99

For anyone on the fence, I was a hardcore CC user since it was released. I made the full switch to 5.6 sol and Codex about a month ago. It's the better experience. The limits are way higher (I almost never burn through my $200/m plan), and the output is better than Opus 4.8 (Opus 5 is completely unusable for me).

You're underselling how good/reliable 5.6 sol is. It's in the fable discussion league not Opus4.8

Re: Claude Code May–August 2026 weekly limits promotion

#100
post #54

Earlier quoted context omitted.

Unfortunately Sol does not compare to Fable at all.

And Fable doesn't compare to Sol at all. Fable will block on many request in name of cybersecurity, sol never does that.

They're absolutely best in a chocolate-in-my-peanutbutter situation - I use them to adversarially review each other's changes and ping pong the branch back and forth - A makes changes, B reviews, B makes changes, A reviews. Together they're much smarter than either individually - anthropic models tend towards more creativity, openai models can get bogged down in the nitty gritty.
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