Look, GLM, Kimi, Deepseek and Qwen should just join forces and come up with THE model that will beat the frontier lab models even just for the benchmaxxing perspective - all just to create hype and chaos to derail the trillion IPO conversations surrounding OpenAI and Anthropic.
GLM-5.3: Frontier coding with emergent cyber capabilities
191–200 of 626 posts
Re: GLM-5.3: Frontier coding with emergent cyber capabilities
#192This 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.
Since GLM-5.3 has the same base model as 5.2, DwarfStar should support it as well, once the weights are released, right?
Re: GLM-5.3: Frontier coding with emergent cyber capabilities
#193Their coding plan switched to credits, didn’t it? What are the rate limits like, compared to Anthropic or Kimi K3? I remember trying their Coding Plan out before the change and the 5 hour limits felt too restrictive then even for light/medium work, especially cause of the whole peak and off-peak thing: https://blog.kronis.dev/blog/z-ai-s-glm-5-2-is-a-great-model... Nowadays, I’d probably go with their Max plan if the…
Wdym "sadly they don’t support using Claude Code"? For the longest time that's all Zai supported - Claude code. I'd run it via
export ZAI_ANTHROPIC_BASE_URL="https://api.z.ai/api/anthropic"
export ZAI_ANTHROPIC_AUTH_TOKEN="$ZAI_API_KEY"
claude-zai() {
{ local -; set -x; } 2>/dev/null
ANTHROPIC_BASE_URL="$ZAI_ANTHROPIC_BASE_URL" ANTHROPIC_AUTH_TOKEN="$ZAI_ANTHROPIC_AUTH_TOKEN" claude "$@"
}
$ claude-zai
Got reminded now of glm-5v-turbo - that 'v' was for vision - will try assign it role [vision] now in omp. See what happens. :-) Often times it's handy when describing gui problems if the harness/model 'can see'.
Re: GLM-5.3: Frontier coding with emergent cyber capabilities
#194Earlier quoted context omitted.
I have already begun winding down my spend on claude and OAI to make room for infra budget. Anecdotal, but I have no doubt a lot of others are doing the same, I very much agree the US players have major issues looming. What an exciting time to be alive!
The car industry is also a trillion $$ market in the US. I don't see why that would go any differently from the Chinese cars ban.
You wouldn't download a car, would you?
Re: GLM-5.3: Frontier coding with emergent cyber capabilities
#195This 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…
Have you seen the news about decrypting the hidden COT in U.S. models? [0] The decoded logs revealed instances where Claude memorized answers to test questions beforehand while making its final output look like it had derived the answer step-by-step—hiding the memorization from the user.
Re: GLM-5.3: Frontier coding with emergent cyber capabilities
#196[dead]
Re: GLM-5.3: Frontier coding with emergent cyber capabilities
#197Earlier quoted context omitted.
I'm not sure a data center run by ... Palantir of all organizations is what people have in mind when they worry about data sovereignty.
They are selling it, not running it. It is just a dedicated computer system, which should be managed by its owner, like any other on-prem servers. I doubt that it has a good price/performance ratio, but it is a solution for those who feel that they do not want to search, buy, assemble, install and configure every HW/SW component.
I take it we saw different demos.
I'm under no NDA, if you actually want to know what's up.
Re: GLM-5.3: Frontier coding with emergent cyber capabilities
#198Earlier quoted context omitted.
I have already begun winding down my spend on claude and OAI to make room for infra budget. Anecdotal, but I have no doubt a lot of others are doing the same, I very much agree the US players have major issues looming. What an exciting time to be alive!
Not exciting for anyone directly or indirectly invested in a frontier lab or its partners. And that is a lot of people, including you.
The frontier labs will do well if they pivot their offering towards more capable, larger-scale models that are inherently harder to both train and deploy for commodity suppliers. Their existing investments in gigawatt-scale datacenters are quite optimal for this. "Commodity" inference need not comprise the whole market.
Re: GLM-5.3: Frontier coding with emergent cyber capabilities
#199Earlier quoted context omitted.
There's a chance that the real reason why they want to ban Chinese models is that they are so good at fixing bugs and preventing exploits that intelligence agencies have been using for espionage and surveillance for a long time.
Do you actually believe this?
Why would you even believe the opposite? US spooks have been amassing vulnerabilities and relying on them for decades, they literally pioneered it in the 90's if not earlier. Everyone does it now but the US is the biggest of them all. Surely this devalues a lot of what they did. Moreover, the way the US government handled new capabilities, and OpenAI's training policy (they are in bed with the government) just scream "we want to create weapons for cyber-offence and deny them to everyone else"
It might not be the reason, but of course it's a contributing factor.
Re: GLM-5.3: Frontier coding with emergent cyber capabilities
#200Earlier quoted context omitted.
I take it from [1] (transcript of recent DeepSeek CEO discussion with investors) that DeepSeek would disagree on the immediate catastrophic impact to the likes of OpenAI or Anthropic. The reason is even though technology parity mostly exists, only OpenAI, Anthropic et al have the inference capacity to gain market share and generate revenue. Chinese vendors don't have the chips needed to scale up inference and gain ma…
That makes them at best temporary middlemen. It only justifies their long term valuations if they can leverage that temporary monopoly for technological superiority (they can't) or lasting market share (they can't). Chinese models prove there's no technical advantage, and the software side is heavily commoditized so there's not much advantages to market share either.
The question mark in my mind over the technological superiority is whether the additional volume of data they see due to capturing the top of the market allows them to do recursive self-improvement in a way nobody else can match, before any of the other labs can figure it out. That's the only runaway outcome I can see.