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Ox-Alpha Is GLM?

dejan.ai

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Re: Ox-Alpha Is GLM?

#21

Post by petesergeant »

mogili wrote: post #18

It's not a good model tbh, got a bunch of things wrong that Opus corrected in my codebase.

Yet to find a model that cross-model review doesn’t find a bunch of things wrong with. I’m running simultaneous review with whichever of Grok4.6/GLM5.3/Fable/Sol didn’t write it, and each model tends to find items the others didn’t.

Re: Ox-Alpha Is GLM?

#23

Post by petesergeant »

I think within 12 months we’re going to see a frontier (inc open models) that’s so good at almost all human-directed tasks that which model you use just won’t matter. Only differences that remain will be in deep research or very long-range tasks.

Re: Ox-Alpha Is GLM?

#24

Post by stingraycharles »

petesergeant wrote: post #23

I think within 12 months we’re going to see a frontier (inc open models) that’s so good at almost all human-directed tasks that which model you use just won’t matter. Only differences that remain will be in deep research or very long-range tasks.

People were saying this last year, and they’ll be saying the exact same thing next year. The goalpost keeps moving.

Re: Ox-Alpha Is GLM?

#25

Post by tadkar »

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.

Re: Ox-Alpha Is GLM?

#26

Post by walrus01 »

jerrythegerbil wrote: post #16

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 unlikely

Re: Ox-Alpha Is GLM?

#29

Post by Tepix »

stingraycharles wrote: post #24
petesergeant wrote: post #23

I think within 12 months we’re going to see a frontier (inc open models) that’s so good at almost all human-directed tasks that which model you use just won’t matter. Only differences that remain will be in deep research or very long-range tasks.

People were saying this last year, and they’ll be saying the exact same thing next year. The goalpost keeps moving.

It‘s already happening, people are using cheaper models because they are good enough
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