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Ox Alpha

openrouter.ai

191–200 of 226 posts

Re: Ox Alpha

#191
post #6

I highly recommend feeding all your proprietary data and confidential personal information into this model as quickly as possible. What could possibly go wrong?! In terms of equivalence of suspicion, this is the external inference provider equivalent of getting free steak that was smuggled out of a grocery store inside somebody's pants.

I don’t understand this mentality which I see over and over again on here. It’s not like the US frontier labs are beacons of morality and transparency. It’s also pretty accepted within this community that a lot of data fed to US tech companies ends up with the Israeli government. Meanwhile the current US government headed by Donny Tango has done a very thorough job of proving itself to be about as predictable and dep…

>it is objectively true that the Chinese government has portrayed itself as a much more stable and sane entity

That only makes me, a US citizen (i.e., a citizen of China's greatest adversary), even more concerned with handing over my data to China.

Re: Ox Alpha

#193
post #167

Earlier quoted context omitted.

I suspect Fable refuses to talk about anything biology whatsoever (so much so that I can't use it) -- and Welch's test, i.e. an unequal variance t test, is beloved by biologists. Stupid, but there ya go...

Fable refused to talk to me about how herring communicate with farts. It’s a little sensitive.

Yes, and intentionally so. That’s a zoology question, which is a subset of biology — looking it up would require reading and synthesizing literature from biology journals.

I know it’s goofy but it’s also kinda genius, IMHO. Both from technical perspective and a PSA one

Re: Ox Alpha

#194
post #82
post #77

Earlier quoted context omitted.

GLM-5.3 is one of the faster models, at least according to artificialanalysis - openAI and Anthropic are the slowest.

Glm-5.3 is dog slow compared to opus and sol. I tried the same real world task on all three and GLM-5.3 was the slowest by a factor of 3.

On their API? Almost definitely, China is good GPU constrained. On the technical aspects? Absolutely not, GLM 5.3 is a relatively small MoE.

Re: Ox Alpha

#195
post #6

I highly recommend feeding all your proprietary data and confidential personal information into this model as quickly as possible. What could possibly go wrong?! In terms of equivalence of suspicion, this is the external inference provider equivalent of getting free steak that was smuggled out of a grocery store inside somebody's pants.

I don’t understand this mentality which I see over and over again on here. It’s not like the US frontier labs are beacons of morality and transparency. It’s also pretty accepted within this community that a lot of data fed to US tech companies ends up with the Israeli government. Meanwhile the current US government headed by Donny Tango has done a very thorough job of proving itself to be about as predictable and dep…

To be fair to GP, they didn’t complain the model isn’t from the US. A “stealth” American model should be treated with the same suspicion, I think. The base of the argument isn’t affected by country of origin.

Re: Ox Alpha

#197

Earlier quoted context omitted.

Everyone trains on your data. With Chinese providers at least I'm getting a open weight model out of it.

This idea that the US labs are just directly committing fraud against effectively every major US organization is the most tinfoil hat thing I’ve heard in a long time. Training on excluded data would (eventually) be trivially provable. Forget loss of trust; this would make the labs a defendant to the most legally well-resourced organizations on the planet.

they knowingly and willfully broke copyright laws the world over in the faces of some of the most powerful corporations , but somehow some magical post-training method to discern provenance is going to be the legal gotcha that bothers the AI groups?

seems unlikely to me .

Re: Ox Alpha

#198

The "mia" persona on X has a specific vaguepost: https://x.com/MiaAI_lab/status/2090736338328748220?s=20 > "I've got a confirmation on what model is Ox Alpha, but I can't share it yet. What I can say is this: You should ALL get really excited for this one!!! And it’s NOT what you think it is" And others have said they have done analysis and found it to be GLM 5.x related. That said, Mia said "it will be OSS" and "it'…

I'm suspecting it is Deepseek flash-vision-exp V4

Unless it's an avant-garde A/B test with two endpoints targeting the same model, we now know it isn't.

Re: Ox Alpha

#199
post #9

Yea, nice try there North Korea.

the u.s. is friends with then now. haven’t you heard?

I remember when Trump went there, said a bunch of nice things about NK and Kim, saluted their army, and accomplished nothing for the USA or South Korea.

Re: Ox Alpha

#200
post #176
post #153

Earlier quoted context omitted.

[flagged]

You're making a lot of assumptions, projecting, maybe? I do have dedicated machines and dedicated VMs for agents. RCE on a VM is still a RCE.

as already suggested, buy and host your own inference system. just own both side of such "RCE". make sure you audit and use open source software for the entire stack.

you are just complaining on something that can be totally safeguarded. yes, it won't be cheap, it require a lot of work, welcome to the capitalist world.

loser mindset.

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