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GLM-5.3: Frontier coding with emergent cyber capabilities

z.ai

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Re: GLM-5.3: Frontier coding with emergent cyber capabilities

#11

Post by pella »

maxloh wrote: post #6

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.

"GLM-5.3 is the most capable open-weights model for coding, with a 50% improvement over GLM-5.2 on our in-house Z.ai Code Bench. It also achieve open-source SOTA on public benchmarks including Terminal Bench 3.0 and Agents' Last Exam."

"Open Source: We will release the weights in two weeks after launch, once safety evaluation and hardening are complete."

Re: GLM-5.3: Frontier coding with emergent cyber capabilities

#13

Post by bertili »

aliljet wrote: post #5

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 p…

DwarfStar (https://github.com/antirez/ds4) supports GLM 5.2 and DeepSeek. Not only for toying, but for getting work done.

Re: GLM-5.3: Frontier coding with emergent cyber capabilities

#14

Post by kouteiheika »

aliljet wrote: post #5

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 p…

> This is absolutely still shy of Sol and Fable

Not sure about Sol as I haven't used it, but, at least for security work -- does it matter? It's not like you will be allowed to use Fable (or access Mythos) for anything cybersecurity-related unless your name is "Dario Amodei" or you are one of his rich friends. So regardless of how good Fable/Mythos is here it's a completely moot point for normal people, because they can't use it for that anyway.

Re: GLM-5.3: Frontier coding with emergent cyber capabilities

#15

Post by 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.

Re: GLM-5.3: Frontier coding with emergent cyber capabilities

#16

Post by LeonidBugaev »

virgildotcodes wrote: post #4

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.

Not only attackers. I have to switch to Kimi or GLM even in cases of basic issue triage on my own projects! Current guardrails are ridiculous.

Re: GLM-5.3: Frontier coding with emergent cyber capabilities

#17

Post by gr_norm »

Gecko4072 wrote: post #15

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 correlati…

Yeah, the comparison here between GLM 5.3 and Sol + Fable is impressive on its own, but incredibly more so when you consider it's a fraction of the (rumored) size. The miniaturization trend is as strong as ever.

Re: GLM-5.3: Frontier coding with emergent cyber capabilities

#19

Post by 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.

Re: GLM-5.3: Frontier coding with emergent cyber capabilities

#20

Post by justapassenger »

Gecko4072 wrote: post #15

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 correlati…

You basically need both. Parameters and good post training. If you keep on growing both, you’ll have good models.

LLMs are still surprisingly “easy”. You need maybe a couple dozens of right people, a lot of good quality data and a lot of GPU that you know how to operate. There’s relatively little “secret sauce” needed.

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