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Grok 4.6
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Re: Grok 4.6
#22Thats actually a lot more impressive than I thought. At least on paper
But has it hacked anybody yet? Feels like xAi is behind on the hot new benchmarking meta.
Re: Grok 4.6
#231) AI researchers talk and change companies often, so techniques circulate. This feels implausible because training and shipping a new model ought to take longer than 2 months?
2) Distillation - also implausible for the reason above.
3) Benchmark hacking. AI companies have ways they can dial up performance artificially, and will reach for that to maintain the appearance of parity.
Other reasons?
Edit: Most replies are ignoring timing. It's the near-concurrent release of the same jump in capability that I find suspicious; not the fact that labs can catch up eventually.
Re: Grok 4.6
#24Re: Grok 4.6
#25As a designer, I'm always hesitant to believe these statements until there's independent comparisons between the old & new model, as well as comparisons to human made flows. Design can be so subjective that blanket statements like this seem almost useless.
Re: Grok 4.6
#26Seems if you are okay with it, there's no reason to use anything but the highest effort levels of some other frontier models for the price.
I think Grok provides healthy competition to the other labs, though I do think they bank on groks reputation making it less appealing to many.
Re: Grok 4.6
#27[flagged]
Re: Grok 4.6
#28Re: Grok 4.6
#29Anyone else find it weird how within 2 months of Fable releasing all the major labs suddenly had Fable-level models? Trying to think of explanations: 1) AI researchers talk and change companies often, so techniques circulate. This feels implausible because training and shipping a new model ought to take longer than 2 months? 2) Distillation - also implausible for the reason above. 3) Benchmark hacking. AI companies h…
Re: Grok 4.6
#30Anyone else find it weird how within 2 months of Fable releasing all the major labs suddenly had Fable-level models? Trying to think of explanations: 1) AI researchers talk and change companies often, so techniques circulate. This feels implausible because training and shipping a new model ought to take longer than 2 months? 2) Distillation - also implausible for the reason above. 3) Benchmark hacking. AI companies h…