No, you're just straight up wrong.
OpenAI is doing science the right way. Making the information available as widely as possible so that anyone can check and verify it.
That is the scientific process working exactly as it should.
If that "damages the mathematics community" then all it means is the mathematics community is not doing science and should be ignored.
I cannot stress this enough. If you are complaining about "how they released it" or calling this stuff "slop cannons", you're an unscientific hack that's dragging down humanity.
Engage with the actual claims. Prove them or disprove them. Nothing else matters here.
This. So much this. (and I dont even like OAI)
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This is great - I think we're getting close to the core disagreement here because I disagree with almost all of that, and I think its because we have different conceptions of what science is.
To me, science is not a database of facts and data, and the scientific process is not just the process of adding to this database.
It is more than that.
Science is building the database of facts and data, but it is also sharing/disseminating that database so that others can write to it too.
We both agree that "openness" is critical for this, but to me, the scientific process includes things like the actual words that a scientist uses to communicate their ideas/data, the paper they wrote, the collaborations they had, the work that they built upon. Science is not like a database only - its more like a distributed system, and the scientific community is like a living, breathing thing. It is the health of that system which has been damaged in my opinion.
So I have no problem that OpenAI updated the database.
They didn't just make the information available though.
They updated the knowledge database, then released low quality slop papers.
They made it clear that they don't give a damn about sharing/disseminating information.
They are trying to fundamentally say "we can do science without prioritizing sharing.
We don't think its important. We'll release the proof because it makes our stock go up, but we're gonna keep going and building and not spend any time on communication or comprehension because we think that it doesn't matter, and your contributions don't matter, and AI is gonna do all of this independently anyway. We spent $20m on the proof because it made our stock go up $20b, but we'll spend 20 min on the paper. Priorities clear.
Does any of that make sense?