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I’m gonna need a more detailed argument than that.

It isn’t really a worthwhile argument. Linux has so many window managers, whatever somebody likes about MacOS there’s one that does it better.

One thing I really like about macOS is the shortcuts. You can fairly easily get 90% there on KDE, though. The last 10% is tricky regardless of the WM you choose: some apps just don’t want you to mess with the shortsuts in this way (looking at you, Mozilla).

Apart from that, honestly? With global menu, KDE is nearly indistinguishable from how I use macOS.


Started with kde2, then openbox (2000s), then i3 (2010s), these days I got so used to gnome, anything else feels like a downgrade. So probably it is just what you're used to.

I have the right not to sell poison to someone who I have reason to believe will use it to kill a third party. The idea of simply trusting the patron to be responsible makes sense when the patron is anonymous or a new contact. It’s generally good to assume good intentions in the absence of evidence, I think. If the government is not anonymous enough to get this treatment.

Governments have a long, long history of using "poison to kill a third party", to use your analogy.

Violating the laws of our country while being in a position of public trust reaches a higher standard than “politicians I don’t like” IMHO.


I don’t see how you can make this claim when the budget balance at universities is extremely tilted towards stem. The budget for the kind of programs you seem to be complaining about come out to percents. Hard to say universities are “more interested” in very very small parts of their budget. What is happening now though is the federal government holds back billions of dollars in medical research grants, punishing, in some cases even killing patients, over “ideological” issues.


Then you’re not paying attention. The US is currently experiencing the largest wave of mass protests in its history. The corporate media is simply ignoring it. Practically every trump administration action has triggered nation-wide protests.

https://ash.harvard.edu/programs/crowd-counting-consortium/


You made a throwaway account to say this?


Yes. Because it’s funny and I don’t have any other account.


I don't see the humour.


I can’t help you.


didn't ask


I haven’t really had this issue. UV’s recommendation is to mount the uv.lock and install those manages package versions to the container’s global pip environment. We haven’t had much issue at my work, where we use this to auto-manage python developer’s execution environments at scale.


> UV’s recommendation is to mount the uv.lock and install those manages package versions to the container’s global pip environment.

Source? That's an option, but it's not even explicitly mentioned in the related documentation [1].

[1] https://docs.astral.sh/uv/guides/integration/docker/


https://docs.astral.sh/uv/guides/integration/docker/#interme...

You kind of have to read between the lines and "know" this is a good solution and then when you see it it's like "right of course".


Nice tricks! I wasn't aware of the cache mounts, so I was building with UV_NO_CACHE=1. Cache mounts should also come handy when installing OS packages in multi-stage builds.

I still couldn't find the "global pip environment" part, unless by that you meant the "active pip environment", pointed by VIRTUAL_ENV during image building.


Yeah I see now I was mixing techniques in two sections of that document


Mounting uv.lock doesn't actually work if you have intra-repository dependencies. UV can't deal with packages that lack metadata (because it's not mounted): https://github.com/astral-sh/uv/issues/15715


“Agents that extract the data” Are we really reinventing data frame readers to have an LLM in the critical path?


Reinventing? No. Using? Yes, for a lot of good reasons.

LLMs are expensive. Spending tokens to do something in bulk that is well suited to existing tools and algorithms, is wasteful and slow. And the main reason is that, using LLMs, the original author indicated only a 60% success rate for the task. Why spend many times more time and money and energy just to use an LLM on a well-understood preparatory task that it sucks at, when you can get much better results more inexpensively with off-the-shelf tools, and feed their results to the LLM for its unique value.


Do you measure your results in a repeatable way? In a way where your hypotheses about accuracy are falsifiable? Or do they just “feel” right?


It’s basically impossible to make a career as a scientist these days without constantly promoting yourself and your work unfortunately. It’s very tiring and makes it difficult to focus on science. This is one of the reasons I changed careers.


That's bad, too, but true in many professions I think.

But I think what the GP means is let's do science, let's not do hot-political-topics-as-science.


Unfortunately science is unavoidably a political hot topic. Climate change denialism is the norm in the United States, we've somehow decided Tylenol causes autism in the past week, etc.


If you think either of those represent any meaningful portion of science you need to re-evaluate your understanding of science because it’s based on a layman’s perspective.

If you’re not actually involved in science you only see the scientists making news, which disproportionately selects for politically intersecting areas of research.

When I was working at a major US research university in the early 2000s, it was a big deal if the scientific publications got any mainstream press at all.

Countless papers push the boundaries of science in major journals and conferences every year and you never hear about them because they have no political implications and usually no immediate practical applications.


> but true in many professions I think.

That's true, but the other professions don't tend to be associated with (or clearly vindicate) the “above-the-crowd/holier-than-thou” attitude – and I say that as an ex-scientist, for the same reason (among others) as the poster above.


I feel the same way about software, what career did you switch to?


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