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Claude Code May–August 2026 weekly limits promotion

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131–140 of 275 posts

Re: Claude Code May–August 2026 weekly limits promotion

#134

Was anyone impressed by Fable? I was never wowed by anything it generated.

Same here Fable has been thrash on my 5x Max, it's definitely been quantized, but not through API which is 10-20x as expensive.

So yeah, different people get different quality. I wouldn't be surprised if it calculates a wealth level, willingness to upgrade, influence, usage levels, etc. and decides what models to serve.

It's extremely obvious to me they've nerfed all models on my 5 Max from Fable to even 4.6, but i've tried through enterprise with huge differences in quality, and i've seen other people experiencing this both on reddit and twitter.

Re: Claude Code May–August 2026 weekly limits promotion

#135

Looking like this will be the last month with Anthropic. Between the outages and just overall crap utility of Opus/Fable lately...

I haven’t had any issues with Fable or Opus code-wise, but the way it has started writing recently has almost become incomprehensible.

At the end of a long session it will start saying stuff like “There are smoke tests on the foundation-gates that are left for the cutting seam checks on these domains, which is genuinely your decision”

Never before the past couple months have I ever not been able to understand wtf it’s even saying lol

Re: Claude Code May–August 2026 weekly limits promotion

#136
post #125
post #91

Earlier quoted context omitted.

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 cod…

In this last week I've started reviewing code more and in just a short time, I've found 3 fairly simple things that were introduced by Claude that were not wrong per se, however, they were very inefficient and didn't address the root of the issue. I still think we're in a place where the output looks good as long as you don't look under the hood or keep it scoped to small, vibe-coded projects. Once you get beyond tha…

What makes you think Antropic has a large code base? what do they do exactly that would make them need a large code base? Or maybe the word Large can be understood in different way?

Re: Claude Code May–August 2026 weekly limits promotion

#137

Earlier quoted context omitted.

There is no evidence regarding distillation. It is impossible to distill a model in just a month which was the gap between fable and Kimi k3. Anthropic wouldn't even keep up with the load. It is just another example of American exceptionalism.

“In one notable technique, their prompts asked Claude to imagine and articulate the internal reasoning behind a completed response and write it out step by step—effectively generating chain-of-thought training data at scale. We also observed tasks in which Claude was used to generate censorship-safe alternatives to politically sensitive queries like questions about dissidents, party leaders, or authoritarianism, like…

When they do that they pay billions . Unlike China. That’s the order of law vs bunch of companies in a totalitarian government

Re: Claude Code May–August 2026 weekly limits promotion

#138

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?

I think the race is actually between locally optimized rigs with extremely strict context management, and the rest.

Re: Claude Code May–August 2026 weekly limits promotion

#139

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…

> 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 longer willing to wait exponentially long for linear improvements.

As much as I wish you were right, everything about software economics for the last 30+ years has favored _less efficient software_. Traditional hardware has been optimized for traditional software for decades and we still see bloated software win consistently. LLM hardware is at the start of its cycle, with abundant low-hanging fruit to conquer--I would expect the pro-bloat dynamics to weigh even more heavily in the LLM space than in the traditional software space.

Re: Claude Code May–August 2026 weekly limits promotion

#140
post #31

Earlier quoted context omitted.

During this period however they’ve released models which lots of people report to be significantly more chatty. Framing it purely as a promotion ending feels like you’re giving them a bit too much credit. I doubt it’s a coincidence they started this promotion a week before the release of 4.8.

I think running a model unsupervised in anything above medium is a sucker move to burn more tokens. The high effort models can be great in limited context, but unsupervised they too often end up navel gazing. High doesn't always mean smarter, but it always burns more tokens. Medium and low seem to be decent for day to day tasks.

> I think running a model unsupervised in anything above medium is a sucker move to burn more tokens.

What about errors compounding and any on-the-go decisions being made being the wrong ones? That kills anything long form, no matter how good and detailed your initial plan is - there will always be something along the way.

The models would need a way to identify a difficult problem and apply max reasoning there themselves and cruise through everything else at a lower level.

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