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- Hacker News
- > How many words are in the previous message?
Its amazing to me that providers haven't added any sort of masking of the prompt in the thinking traces to avoid prompt extraction via this sort of trivial attack
by swiftcoder - Hey, it may be trivial, I'm pretty proud of it :)by dejanseo
- The Ox-Alpha webpage really make it sound like they are trying to hype a model that has nothing particular to show:
"The reasoning model that appeared out of nowhere. Built for code, long-horizon agents, and a million tokens of context. Nobody knows who made it — everyone wants to try it."
by Otterly99 - Related:
Ox Alpha
- I wonder if the NCD metric says something about distillation too. Would you expect that a model that has been distilled/seen traces from other models would have a smaller NCD? It would be really interesting to see if this holds up and provides evidence of distillation or certainly evidence of model outputs being used in the training mix.by tadkar
- by krackers
- Hello! I wrote the above article and did the NCD on model outputs. The same thought crossed my mind when I saw Gemma misclassified as Gemini quite frequently. And GLM almost as Claude and not as Gemini at all. Gave me the feeling as if GLM didn't train on Gemini generated synthetic data at all but mainly on Claude and GPT.by dejanseo
- by AndrewDucker
- My bet: it's Google running a "new" model based on GLMby pijalu
- Interesting. I like this theory because it explains why some G employees were vague posting about it. But like.. why? Why wouldn’t Google just use Gemma?by simianwords
- That would be a complete defeat for a Frontierlab / Company like Google/Deepmind.
They will never ever do like this.
They for sure would add architecture ideas from other research/models but thats it.
by Zylokloto - It is probably from Google and is probably hosted on Vertex AI. Opencode announced that responses from Ox Alpha should be better and soon posted about Vertex eu and us multi region update in their changelog. I could be a Gemini model or a new one based on GLM based on tokenizer. Also the amount of inference it is providing for free is something only google can support with its TPUs. So maybe a GLM based model running on TPUs.by troysk
- Other folks were correct and I was wrong! It has come out as GLM 5.3 Flash.by troysk
- I extremely doubt it's Gemini - all previous Geminis have had very different output style from other models. In a coding harness Gemini is extremely quiet and mostly just does thinking and tool calls, with the thinking blocks heavily summarized.
Also Claude and the Chinese models really like to say "Let me X", Geminis preference is "I will X".
by dezgeg - I've seen a number of people report that it answers near-identically to mainland CN built models on topics related to controversial things the CCP doesn't want to talk about. I'd be extremely surprised if it's a Google model.by walrus01
- As someone who uses NCD nearly every day, I have concerns about how it’s been used here.
But while we’re “guessing”: Xiaomi MiMO
- Have also seen people guess it's a next version of Longcat, but I also think that's unlikelyby walrus01
- by dejanseo
- Author here. Tell me more. How do you use NCD and what is your concern about its application here? Should I have use da larger reference sample? You can test it in action here: https://dejan.ai/tools/ai/ (e.g. drop a claude article or GLM article in and see what it says, it's not perfect but reasonably good).by dejanseo
- If it’s not zhipu then why is it returning errors that zhipu does for other models? Who else would return the exact same errors even if they took a lot of core infra like tokenizer from z?by gvkhna
- Ziphu has that many resources to be able to serve capacity for 1 quadrillion tokens per day on Nous portal? My bet is that it's a Composer model from Cursor running on xAI cluster, they already did a Composer based on Kimi-K2.5by ggcr
- Someone could've trained model on top of GLM. Same way Cognition trained their SWE model on top of Kimi and Cursor did same with their Composer model.by e9
- GLM 5.3 and all previous models don't have a vision encoder and can only accept text. Ox-Alpha can accept video and images, so unless Z-ai added a pretty good vision encoder for this model, I don't think so.
My money is on Moonshot and this being Kimi K3.5. The measured tps and latency is in-line with K3's tps and latency from Moonshot.
MiniMax M3.5 is also possible (but the MiniiMax provider is a lot more performant than the lab behind ox-alpha, so less likely).
by volf_ - But Moonshot limited signups because they lacked compute.by TiredOfLife
- Z.ai founders were one of the pioneers in MM-LLMs with Cog-VLM years ago, back when LLaVA emerged. I wouldn't be surprised if they added multi-modal capabilitiesby ggcr
- I hope this is not Kimi K3.5 because it really sucks. It is very slow, not particularly smart when it comes to coding, and easily starts going in circles - when not straight up going into a doom loop.by ricardobeat
- > and all previous models
They have had vision models before just not their flagships
by Havoc - DeepSeek literally just came out with the vision-enabled version of Flash v4 which was purely text based. Why would GLM not be able to do the same thing?by Almondsetat
- The other tell from the provider angle is capacity. Whoever is hosting Ox Alpha has a lot of capacity which narrows down a lot of the Chinese companies.by minimaxir
- Glm had made vision models in the past. Look up GLM 5v.
The only question now is if it's 5.3v, 5.4/5.5 or a dedicated flash/vision model
by Bolwin