Back to News
Advertisement
Advertisement

⚡ Community Insights

Discussion Sentiment

100% Positive

Analyzed from 886 words in the discussion.

Trending Topics

#glm#anthropic#plan#model#least#providers#bit#tos#inference#more

Discussion (28 Comments)Read Original on HackerNews

dada21641 minutes ago
We built a complete production-grade inference service from scratch on a cluster of more than 100,000 Chinese-made AI accelerators. All production inference for GLM-5.3-Flash runs on this system.
tefkah30 minutes ago
> Today, GLM-5.3 has become an indispensable daily coding partner for everyone on the team, and it is moving steadily toward replacing us. If this trend continues, given enough compute and enough time, its endpoint is a system that can design and train its own successor entirely autonomously. This is known as Recursive Self-Improvement, or RSI.

Statements dreamed up by the utterly deranged.

binsquare15 minutes ago
Given the rate of improvement, why is this deranged?
sixeyes3 minutes ago
because the rate of improvement is fairly stalled?
embedding-shape38 minutes ago
I was gonna ask how people found their coding plans, and realized, have they massively ramped up the prices? Seems the middle plan is ~$80/month now, didn't that used to be like $20/month? Cheapest plan is ~$20/month currently.

They must have hit really hard scaling limits if the prices were hiked so much so quickly.

Daviey25 minutes ago
I paid $360 annual for Max plan and currently averaging about 1BN tokens a day with their frontier GLM-5.3 model. This was clearly unsustainable for them and they've dropped this package.
disiplus15 minutes ago
I also have a legacy pro plan and the only limitation is if you are trying to work in the morning from Europe because you are in the 3x usage overlapping China time but after 12 or so you basically can run it at least for me at least 3 parallel sessions all the time.
asp_hornet24 minutes ago
The way I look at it, their coding plan doesn’t retain data or use it for training making it one of the cheaper plans for me.

https://docs.z.ai/legal-agreement/privacy-policy

andy_ppp22 minutes ago
You believe any of these companies care about the law? They care about winning and building the self improving AI as quickly as possible.
asp_hornet19 minutes ago
I too am sceptical but I’ll take my chances. At least it’s helping the open weights.
broodbucket35 minutes ago
Yeah it went from a great deal to unviable compared to other providers imo. They really need to find a healthy middle ground
lompad21 minutes ago
It just gives a taste of what we are all going to have to pay soon, once the model providers actually have to make money. And the era of "let's charge a dollar for every 10 dollars running the infra actually costs" is rapidly coming to an end.

And you can bet GLM is still ridiculously subsidized, just not as ridiculously as Anthropic and OpenAI.

chobbledotcom13 minutes ago
This isn't true, you can pay for GLM 5.3 from a provider like Neuralwatt or Friendli who have no incentive to subsidize or loss-lead their inference APIs
pyrophane21 minutes ago
What provider are you using currently?
bbor26 minutes ago
It's hard to know, since no one advertises the actual token limits (partially cause they're prolly complex / adaptive). So it seems much more likely that they just offer different pricing tiers than you're used to. Like, the $80 plan is still ~$80 of subscription quota, regardless of what else is offered.

For [API usage](https://openrouter.ai/z-ai/glm-5.3-flash#providers) they charge a bit more than the very cheapest providers of GLM-5.3-Flash, but not so much that a big price difference would make sense.

Argonautlabs8 minutes ago
Different angle on the same model: the full GLM-5.3 (744B MoE, 4-bit experts, 434 GB on disk) runs on a single MacBook Pro M5 Max with 128 GB by streaming the experts from NVMe SSDs instead of keeping them in memory.

One drive gives about 2 tok/s; striped across four drives it reaches 3.5 tok/s with byte-identical output, and our best internal build with a not-yet-published patch does 4.2.

Method and numbers: https://github.com/argonautlabsai/argodrive (built on antirez/ds4).

bbor30 minutes ago
Well, other than the infrastructure they got from illegally routing millions of paying customers' requests through Anthropic's Opus 4.8 in a distillation attack...
jensb127 minutes ago
What is "illegal" about it?
bingud20 minutes ago
breaking Anthropic TOS and misleading users
drbscl3 minutes ago
Breaking TOS isn't illegal per se. It just allows for denial of services, and may define terms by which the provider can reclaim costs.
bbor14 minutes ago
Are you joking...? Sorry if so! Just in case: It's illegal in both the PRC and the USA.

In the PRC, they[1] leaked tons of national secrets on the PRC's latest AI campaigns, the inner workings of their "opinion monitoring" (read: performative panopticon) and "stability" (read: violent oppression) departments, Chengdu's whole CCTV network, direct-energy weapons plans, espionage activities in Syria to hunt down Uyghur refugees, and god knows what else that Anthropic didn't divulge to us common folk.

In the US, it's very clearly an attempt to rip off a competitor. I'm not sure how else you could possibly see it. Even if you're a distillation fan in general (which A. why and B. plz don't), they did this through a network of Japanese and Signaporean shell accounts, presumably at least some of which were abusing Anthropic's subscription service in a ToS double-whammy, as it would be exorbitantly expensive otherwise. They also had to hack around Anthropic's API to get CoT traces, which seems impossible to explain away as anything innocent.

I've been beating the "China isn't necessarily an enemy, it's gonna take us all to handle AI" drum for literally years, but this attack was just... gross. Gross in scale and gross in arrogance. Not a good sign for the dawning alignment crisis, to say the least :(

TL;DR: Use these services if you want, but know that you're supporting aggressive escalations and companies that very clearly don't give a flying fuck about violating the law, much less your ToS. So... buyer beware, I guess.

[1]: For clarity, Z.ai was not alone in this, nor were they most egregious attack -- Moonshot.ai (kimi) took that coveted prize. DeepSeek was involved, too.

Bluestein9 minutes ago
Nulla poena sine lege?
rob7413 minutes ago
This article left me with one immediate question: "WTF is GLM?".

Honestly, I have no idea what z.ai is either (I'm aware of an AI-enabled editor called Zed, but that's under zed.dev), so it's a bit presumptuous from them to assume that everyone is familiar with their product...

jbonatakis7 minutes ago
z.ai is a fairly well known AI lab out of China and their GLM models are probably the most popular outside of Anthropic or OpenAI’s. I don’t think it’s presumptuous for them to not introduce themselves in a post on their own blog, I think you’re just a bit out of the loop here.
fxwin8 minutes ago
It's presumptuous for them to assume that a reader of their blog is familiar with their product?

Also I feel like the obvious way to read the very first sentence is that GLM is a language model

> As we develop GLM, the model sometimes exhibits capabilities that surprise us

drbscl7 minutes ago
>As we develop GLM, the model sometimes exhibits capabilities that surprise us, and even unsettle us.

Come on now

Also, why would they introduce themselves on their own blog?