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Super unfortunate. On the other side, I reviewed four papers for a top-tier AI conference and three were clearly fully Claude generated, as in all text, figures, results, everything. Actual good reviewer time is wasted on such papers and your (i hope) human written good paper receives AI responses. It's a sad state of affairs for sure.


I find it incredibly sad that this is what the world is becoming, and I mostly blame people for this, not the LLMs.

It’s the same type of people that would have no issue letting an LLM open a pull request on GitHub wasting valuable time of other humans, and whatnot.

I’m using LLMs all the time myself, but it’s so incredibly important to use it to improve the quality of your work, not degrade it. People seem to be totally oblivious about this.

On the flip side, it does make it easier to recognize people who are wasting my time.


I think we underestimate the psychology of this kind of use of LLMs. I don't think these people (students, academics, lawyers, etc etc etc) are all just lazy morons. I think that using an LLM gives a strong knee-jerk feeling of "OMG this is exactly what I have to say. This is MY idea, these are my thoughts, this is - in a real sense - MY writing!" The feeling floods you when you see the output being churned out, way before you you read the thing (if you ever do) - it's the initial *seeing* it. Then when you hand the generated text in, unread by you, you do not have the feeling of cheating, you have the feeling of having exercised your powers, pushed right to the edge of your expertise and thoughtfulness, you successfully overcame obstacles because of your experience and unique capabilities.

This is not always the psychological situation, but I think it might be a lot of the time.

I also think that until we recognize this, we won't be able to help people to not do it. Calling them lazy or being bewildered by them or feeling rage or contempt towards them or threatening them is not going to be practically helpful.


https://gruhn.me/blog/2026-08-03/ in case someone missed the reference


Oh my god that was just written at the beginning of August?? It feels like I read it a year ago. We really are speed running this tech cycle…


Yea but what is the VCT Capabilities Test? According to themselves [1]

> VCT consists of 322 multimodal questions covering fundamental, tacit, and visual knowledge that is essential for practical work in virology laboratories.

So it's just question answering? Do you think that scoring well on this test is equivalent to synthesizing a virus?

[1] https://securebio.org/virologytest/


Scoring well on the first clears the background knowledge for practical work.

The second test from the quote above was about synthesizing pathogens and it synthesized plasmids for 2 out of the 10 pathogens.


The title says "hours-long diving" so at least a few hours i guess...


Good work! The animations are super cool, how did you make them?


This used to be the case: research was conducted mostly at academic institutions that did not provide degrees [1]. The "research university" is a relatively new thing

[1] https://asteriskmag.com/issues/10/the-origin-of-the-research...


Interesting read. I always wondered from where did the idea about "thesis" & other "extra-circular" activities come from, for both students and professors.

Nowadays, promotions of professors for different levels (Assistant, Associate, Professor) is solely dependent on number of papers they are publishing in Q1 journals. But the research maybe entirely bogus, same ideas repurposed hundreds of times by different professors.

The entire concept about "systematic knowledge" has gone downhill.


Even more important than the papers is whether you can raise the money required to fund your lab which produces your prestigious journal papers. And the further you go down the league table the less important the "prestigious" part gets.


Slight tangent: i was wondering why DeepSeek would develop something like this. In the linked paper it says

> In production, DeepSeek-OCR can generate training data for LLMs/VLMs at a scale of 200k+ pages per day (a single A100-40G).

That... doesn't sound legal


HathiTrust (https://en.wikipedia.org/wiki/HathiTrust) has 6.7 millions of volumes in the public domain, in PDF from what I understand. That would be around a billion pages, if we consider a volume is ~200 pages. 5000 days to go through that with an A100-40G at 200k pages a day. That is one way to interpret what they say as being legal. I don't have any information on what happens at DeepSeek so I can't say if it's true or not.


Great post. Super sad state of affairs but we move on and learn new things. Programming was always a tool and now the tool has changed from something that required skill and understanding to complaining to a neural net. Just have to focus on the problem being solved more.


> Programming was always a tool

This is the narrow understanding of programming that is the whole point of contention.


damn, i was really excited to have a new article by this guy. Makes some of the best articles out there for sure


bb wake up, new chichanow.ski just dropped

oh wait, (2020) :(

thankfully i don't remember much from this one, so was able to extract some dopamine from it still


I find it refreshing that a webpage can give such joy, to the point of having people talk about it in the same way you talk about books and movies. You know, being able to enjoy it for the first time and so and so.


Absolutely agree, it's one of the modern internet's gems.

I can't wait until one of my kids, who seems very interested in physics-adjacent topics, is old enough to go through these pages with me.


Wow thats very cool, i was puzzled at first as to why the pokemon types were in Finnish!


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