GLM-5.3: Frontier Coding with Emergent Cyber Capabilities

newyankee

A flood of releases today, really difficult to make out for someone who does not use or test all these models on complex real world use cases as to how people decide which ones to use (besides price)

mostlyk

Incredible numbers, will have to wait and see how it actually performs. The timing of GLM updates are always suprising

virgildotcodes

OpenAI and Anthropic need to just go ahead and give people access to the cyber models. Otherwise we have a world of attackers using open and closed source models against a much smaller group of maintainers that are likely heavily dependent on Anthropic and OpenAI and for whom it may not be a simple matter to just get approval to start using the open model flavor of the month.

aliljet

This is absolutely still shy of Sol and Fable, but only just by a hair. Ridiculous results. There's still not a compelling economic reason to drop OpenAI courtesy of the ludicrous reset addiction that's taken place, but it feels like we're on the precipice. How are you all toying with running this kind of thing in a mega quantized way locally? Two weeks out from released weights, but this is still just GLM 5.2 with post-training magic.

maxloh

No Hugging Face link yet. I wish they would release it under a true FOSS license. Kimi and QWEN are now moving on to a restricted-usage license, which, although is still better than the proprietary American models, is a step back from the open source Chinese LLM culture.

wxw

> Scaling post-training is all we did for GLM-5.3. Love this opening line. And wow, great results. > As agent capability improves, much of the difficulty in scaling post-training moves from the model to the environment.

anana_

What a week for AI model releases

tw1984

just imagine the world without these open weight models - we'd probably have to reverse mortgage our homes to pay for tokens to those trillion $ companies to have access to their models.

quantumwoke

Feels like Fable's edge ended up just being long horizon task scaling, which post-training seems to achieve as seen here. Wonder what the next frontier is? Improvement in specialised tasks or computer use?

Gecko4072

People familiar with the topic, how will models continue to get better? Post training it seems? Labs have already used up internet-scale data, so are there any limits to architecture improvements and post training or can we expect this trend to continue? ByteDance is training a 10T-parameter model. Here, GLM 5.3 outperforms models 3-4x its size of roughly 700B, so parameter count doesn’t seem to be a direct correlation anymore.

joshk401

Love these open source models keeping close source models honest.

hypfer

I might be just reading my positive bias into that text, but is it possible that it is written less like SV marketing hype trash and more like researchers wrote it? It does feel like it respects both me and my time. Thank you, Z.AI. Amazing what difference it makes when the top of your org are actual university professors.

bertili

Musk: Open Chinese models will rival Fable 5 in Q1 2027 JieTang (Founder of Z.ai): It won't take that long https://x.com/i/trending/2067626647050670400?lang=en