site banner

Culture War Roundup for the week of February 2, 2026

This weekly roundup thread is intended for all culture war posts. 'Culture war' is vaguely defined, but it basically means controversial issues that fall along set tribal lines. Arguments over culture war issues generate a lot of heat and little light, and few deeply entrenched people ever change their minds. This thread is for voicing opinions and analyzing the state of the discussion while trying to optimize for light over heat.

Optimistically, we think that engaging with people you disagree with is worth your time, and so is being nice! Pessimistically, there are many dynamics that can lead discussions on Culture War topics to become unproductive. There's a human tendency to divide along tribal lines, praising your ingroup and vilifying your outgroup - and if you think you find it easy to criticize your ingroup, then it may be that your outgroup is not who you think it is. Extremists with opposing positions can feed off each other, highlighting each other's worst points to justify their own angry rhetoric, which becomes in turn a new example of bad behavior for the other side to highlight.

We would like to avoid these negative dynamics. Accordingly, we ask that you do not use this thread for waging the Culture War. Examples of waging the Culture War:

  • Shaming.

  • Attempting to 'build consensus' or enforce ideological conformity.

  • Making sweeping generalizations to vilify a group you dislike.

  • Recruiting for a cause.

  • Posting links that could be summarized as 'Boo outgroup!' Basically, if your content is 'Can you believe what Those People did this week?' then you should either refrain from posting, or do some very patient work to contextualize and/or steel-man the relevant viewpoint.

In general, you should argue to understand, not to win. This thread is not territory to be claimed by one group or another; indeed, the aim is to have many different viewpoints represented here. Thus, we also ask that you follow some guidelines:

  • Speak plainly. Avoid sarcasm and mockery. When disagreeing with someone, state your objections explicitly.

  • Be as precise and charitable as you can. Don't paraphrase unflatteringly.

  • Don't imply that someone said something they did not say, even if you think it follows from what they said.

  • Write like everyone is reading and you want them to be included in the discussion.

On an ad hoc basis, the mods will try to compile a list of the best posts/comments from the previous week, posted in Quality Contribution threads and archived at /r/TheThread. You may nominate a comment for this list by clicking on 'report' at the bottom of the post and typing 'Actually a quality contribution' as the report reason.

5
Jump in the discussion.

No email address required.

At a closed-door meeting in Princeton, leading researchers said agentic AI tools now handle up to 90% of their intellectual workload—forcing a reckoning over who, or what, drives scientific discovery.

I find this wildly implausible.

The "up to" might be doing a lot of the work here. Some (many) weeks, those people spend all their days just writing grant proposals, writing/editing research papers, peer-reviewing other papers, preparing teaching, and answering emails. On those tasks, you could have an LLM do 90% of the writing. Still going to involve lots of prompting, rejecting output and prompting again. You can also have it do 90% of your literature surveys. It is better at search than the old tools are, after all.

The question is if this "up to 90%" is actually what "drives scientific discovery". Because when a grad student shows up with interesting measurement results, the LLM will do 0% of the thinking of what that means, what the updated hypothesis is, what direction the research is going to go in, and what potential papers this might result in and what other measurements are now necessary to test the current hypotheses.

Same goes for peer-review. The LLM can write the boilerplate "this is garbage unfit for this kind of journal". The decision that the paper sounds fishy and the data looks unconvincing is not coming from the LLM.

Probably well over 90% of the effort put into research is already useless. It hasn't gone unobserved that we keep putting more and more resources into research with fewer and fewer results (compared to the early-to-mid 20th century, for example). Many excuses are offered for this such as "the low hanging fruit is taken", but perhaps they're all false and the current methods of doing research are just extremely wasteful.

It's certainly both. If your grant success rate in 2025 is 16%, you just have to write 6 times as many grant proposals. Does that additional labor lead to progress? No, on the contrary.

But on the other hand it is absolutely true that the low hanging fruit are gone. Look at the first Nobel in physics: X-rays. Even in the late 19th century, a single motivated human could just go and make a cathode tube from scratch. Glass blowing, vacuum pumps, high voltage source, some simple metal work, silver bromide coated plates. It's far from trivial, but really, you could do it entirely on your own, and fast. Stuff like that is mostly gone now. You need hundreds of thousands of dollars just for the experimental equipment - because for 100 years, legions of people have tried doing frontier work with little money, and they still do inside no-name university labs all over the world. The frontier now needs hundreds of hours of work from an army of expert technicians across a dozen specialized companies just to do the first test setup. And someone needs to pay for that.

Or do you have another explanation? The reward for cheap and effective science would be enormous. If it were possible, somebody somewhere would be doing it, right?