No they can't.

And as long as I pay as little for claude opus 5.5 i do right now, i'm using it.

But yes i'm glad that we have alternatives.

I find certain points woo wishiwashi.

I think its very reasonable for AI to speedup superconductor finding which will make medical scanning a lot cheaper, easier and better.

It will also allow for massive and easy energy transportation for large distances like afrika/spain <> europe.

In medicin understanding DNA and the results of it could lead to solving cancer and dementia.

New better batery chemicals will help us for solid state batteries. no AAA version of this but up to 1000kwh/kg + low temp and high temp stability and very stable against burning.

Physical ai will solve human labor.

No and AI is out of the bottle anyway.

EVERYONE needs to re-visit how they work and what investment is needed.

You can't go around and don't think that no one has to reevaluate how to add ai to research and development.

I have to do this, my company has to do it and for sure a university has to do this too.

It were published proofs of unknown quality (how did they verify it) and unknown peer-review process. Its lower standards than usually accepted for math proofs.

They are on a github repo and not in a Research Paper.

Running QWen costs so much locally, that a $20 subscription costs the same with better quality, significant better but less privacy.

Team costs simliar to normal plan. $20/$25 is not much. the $5 extra you pay for the team features like shared workspaces.

So you still pay $100/$200 dollar per person and depending on the size of the company, you have to use and pay API costs.

Microsoft has full and unlimited access to OpenAI models. That was some agreement when they invested originally.

Besides that the article states quite high numbers, budget is budget in these companies.

You had budget for your normal salaries, for externals and now suddenly you have a few millions additional.

What do you do? You compensate.

Business people doing business things.

Our ai basic analysis for SRE / k8s based platform is haiku and its surprisngly good.

I wouldn't even tried it, i would still just go with even Opus (we don't have that many alerts) but it really surpsied me.

When i ran into usage limits a few days ago i switched most to Sonnet and again was surprised how good it is now.

I wish we had such a platform (and was properly adopted). Maybe then the necessary context would be properly organized, and these lesser models could be effective here as well, especially if combined with harnessing integrations too. I still have a hard time accepting that Haiku/Luna tier models can be effective there even then, but I'll just have to take your word for it I suppose.

the poster did mention "if it saves 10% of your time".

So be less snarky?