The fixed consumption plans are offering several times their worth compared to API pricing with completely free cache reads: https://she-llac.com/claude-limits
I look at that and think that they must be losing money hand over fist on something like this, not that this shows what their margins are like. If their margins are like this then I don't see why they'd be raising money and shuffling it around in circles.
> If it's really that easy to get better coding performance, why haven't the chinese labs replicated it?
Nobody said it would be easy! I just think it's possible, and that presumably they will get around to doing it at some point.
I'm arguing we can't trust retail prices because the marginal pricing isn't meaningfully connected to it anyway.
But if we have to look at what we think margins might look like, DeepSeek continues to host v4 Flash at the existing price despite competitors beating it in price (https://openrouter.ai/deepseek/deepseek-v4-flash), so there's at least one example of a Chinese lab charging a predetermined price despite competition. And no one but Moonshot is hosting Kimi K3 yet (https://openrouter.ai/moonshotai/kimi-k3). Perhaps there's room in the market for those who release their models to make margin on them.
And I believe my Composer example speaks for itself. The open models are behind but there's tangible proof they can be tuned for pareto frontier efficiency. See "Cost per Task" at https://artificialanalysis.ai/agents/coding-agents.
> I highly doubt that Chinese models are cheaper to serve on a marginal cost basis, they just seem cheaper because Anthropic and OpenAI are so supply constrained that they are charging far more than they would if there were sufficient supply to meet the demand for intelligence. [emphasis mine]
I guess I'm missing the part of this article where they bring hard numbers in to back up the argument here. What work was attempted? https://cursor.com/evals shows the previous generation of open models (Kimi K2.7) trading blows with the others, cost effectively. Composer 2.5 is itself a fine-tune of K2.7, and it's apparently quite token efficient, so why would it be impossible for a Chinese lab to achieve something similar? GLM 5.2 Max is also ranked above the lower end OpenAI models and is not far off in price.
It's weird to have this entire discussion about tokenomics without mention of the circular financing and debt raised by labs in the West, which can then essentially give away their capacity to end users. OpenAI giving away quota resets to subscribers like candy on Halloween while their compute partner Oracle's bonds is reevaluated to be one grade above junk? How?
I don't think you can make an argument about the future one way or another by arguing using the listed prices. The math is not internally consistent enough for it.
I've played through the whole of story mode with no more than a few rare world streaming issues and that was a couple years ago. You could give it another shot, I recommend binding the gyro to one of the back grip buttons for precise aim.
Better yet, get the original release of GTA: San Andreas. It holds up to several replays in a way that GTA V does not imo.
It just is what it is. Sometimes you want to write the obvious query without the DB getting in your way, and other times you want to know as soon as possible that you're doing something that won't scale under exponential load. At this point in my career I prefer the latter, but the former will always have a special place in my heart.
sqlite> CREATE TABLE x1(a, b, c); -- Create table in database
sqlite> .expert
sqlite> SELECT * FROM x1 WHERE a=? AND b>?; -- Analyze this SELECT
CREATE INDEX x1_idx_000123a7 ON x1(a, b);
0|0|0|SEARCH TABLE x1 USING INDEX x1_idx_000123a7 (a=? AND b>?)
sqlite> CREATE INDEX x1ab ON x1(a, b); -- Create the recommended index
sqlite> .expert
sqlite> SELECT * FROM x1 WHERE a=? AND b>?; -- Re-analyze the same SELECT
(no new indexes)
0|0|0|SEARCH TABLE x1 USING INDEX x1ab (a=? AND b>?)
Also wrt
> My approach so far has been to just do these cleanup operations in small batches so that I don’t need to do database queries that take more than 5 seconds to run. This whole experience has given me more of an appreciation for why someone might want to use a “real” database like Postgres which can have more than one writer at the same time though.
The advice for those " “real” " databases is generally to also do cleanup operations in small batches, they just tend to make it less obvious you're doing something unperformant in the smaller case. You're more right than you thought!
I believe it's 5 minutes on API pricing by default, though you can turn off caching or force it to 1 hour. Subscriptions are special, seemingly because Anthropic doesn't want to expose casual users to all of the tokenomics.
Anthropic's cache expires after 1 hour when using subscription endpoints, and for those cached tokens cache reads are free. It's generous (compared to API pricing) but it's not 100% free.
This might be good advice for people who haven't already had the rest of the living optimized out of their lives. But not everyone is so lucky...
Also, the article kind of agrees with what you're saying, even if you don't realize it. Any exercise, even if it's not organized like a weight lifting regimen might be, might be enough to keep you healthy. I think leaning into that could make exercise more genuinely enjoyable for many more people, instead of just an exercise in optimization.
Unfortunately seems to have entirely disappeared from their website despite being a really lovely product that I've daily driven for years. If anyone finds a replacement I could recommend to friends I'd love to know about it.
I think there is in fact a discrepancy between displaying flags and advocating directly for gendered violence:
> Debian contributor "NoisyCoil" said that they had wanted to argue in favor of keeping the packages, but after looking at the content they had decided against it:
> > I went peeking at the package and, unless I'm completely missing something, the second offensive Italian fortune says that women's "no"s should be interpreted as "yes", while the third one explicitly calls for violence on women [1]. Like, it literally says women should be beaten on a regular basis. I'm afraid I can't help you here, sorry.
> Anthropic @AnthropicAI Jun 27, 2026 · 12:29 AM UTC
> Since June 12, we’ve been working closely with the US government to restore access to Claude Mythos 5 and Fable 5. Today, the government notified us that Mythos 5, our strongest cybersecurity model, can be redeployed to a set of US organizations that operate and defend critical infrastructure.
> We’re restoring access for these organizations quickly, and we’re continuing to work with the government to expand access to Mythos 5 and make Fable 5 available for general use again.
topcolor: 77dd44
[ my public key: https://keybase.io/striking; my proof: https://keybase.io/striking/sigs/QKCbMGAwCajv-YwVw78Vp00WB1YoOhCJyxc_nB-zW3U ]
I speak for the trees, for they have no tongues (unlike any of my employers; be they past, present, or future; for they have legal teams)