sarjann

And that’s looking at a large model, to host the equivalent sized model as Opus 5.5 you’d need more than a single dgx spark. A fairer comparison would be to Open models hosted remotely or comparable weak models like Luna which you would get away with a $100 plan or less. That also doesn’t account for token prices continuing to go down for the same level of intelligence.

Being able to work on a commute and code (looking at the glasses's screen) would be a killer application.

I think in many cases people may not be very AI pilled / be looking at artificial analysis etc and might think "I'm doing this much harder task, let me use the best model" and they may infer from naming that 3.1 Pro is better than the recent flash models which would be incorrect.

Anthropic had an issue with delaying the release of a new Haiku for ages but it didn't really mess with things as it was always the weakest model and so positionally it stayed the same. If however they stopped releasing new Opus models and somehow Haiku started overtaking Opus I think it'd confuse the normie consumer.

User wise, the average person will see pro and expect it to be better. Where as companies like OpenAI have tended to release across small/mid/large such that the disparity hasn’t been large in terms of a smaller model outperforming their latest mid/large model.

(Obviously there are other reasons to solder like performance)

Countries like China, Russia have largely blocked western tech and as a result domestic technology companies developed to suck up demand. Some things like having a unified capital market would help Europe. This is something they could work to solving, it's more a political question.

"Can you add support for all US timezones". Does it know what the US is?

I am not claiming that they must stop following their silly ideas. I am just saying they are silly.

The right way is something like, we've been getting spammed with a bunch of PR's from AI that we find difficult to review (because AI allows the average bob who isn't technically minded to make a PR). We have therefore decided not to allow AI submissions.

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I think the people who have some moral / ideological issue and bring that into projects kind of feel like clowns to me. I agree with Linus that the point is to make something that people find useful, and obviously you want it to be maintainable.

Saying "it makes you dumber etc" is not related to the project, with all due respect it's non of your fucking business how I learn / retain skills.

As someone not from America. Damn.., I can't imagine needing to use vacation days for that kind of treatment.

Interesting article (which I think is relevant)

Unless they produce the same token output on the face of it, it looks like they're trying to cover for 4.7 not having good model perf?

Pick one.

The counter argument from Anthropic is easy. If we open weights we can't detact it after being published / the guard rails that run on top of the models would be lost. Also abliteration would be much easier to do when a model's been publically release.

I'm not a fan of Anthropic but the argument in the article seems stupid.