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It destabilized after a few minutes on my phone.


Oo, I'd like to get a roll of these. But I live in Norway.


I guess they could model the river mathematically. I would not be surprised if there are two or more "stable" stream patterns. Perhaps it resets naturally after one year.


Sure they could... the problem is just that apparently no structural changes were made during the cleanup, but the wave was there before they turned the water off and gone after they turned it back on. And they don't have to wait for a year, they can adjust the flow - the wave is situated in a "brook" very near the point where it exits a tunnel through which it flows under much of the city, so it's heavily regulated (see this map for all Munich "brooks" on the West side of the Isar: https://upload.wikimedia.org/wikipedia/commons/f/f3/Karte_M%... - blue are the current ones, dark blue is in tunnel, the purple ones are historical, the Eisbach is #55 in the top right corner).


It wouldn’t be the first time they built a mathematical and physical model of the Isar River in Munich’s inner city, of which the Eisbach is a part.

https://iprpraha.cz/uploads/assets/dokumenty/sharing_experie...


One of my math teachers in university always brought with him a dry sponge in a small blue bag. (a lighter sponge that you don't wet before use). Brilliant lecturer.


I wonder why the DOI link on the bottom left of the first page does not work:

https://doi.org/10.1145/3719027.3765198


It’s quite common for a DOI to be assigned to a paper after it’s accepted during camera ready. However, the DOI won’t work until the conference or journal version is published on the official website (ACM in this case). The version you’re viewing now is simply a preprint directly from the authors.


Exactly! It says this as one of the 3 reasons for DOIs not found on the error page:

>The DOI has not been activated yet.


How come AST parsing fails? Does that imply syntax errors in the code?


AST parsing fails primarily due to installation issues, not syntax errors in your code.

TheAuditor uses a sandboxed environment (.auditor_venv/) to avoid polluting your system. When Tree-sitter isn't properly installed in that sandbox, we fall back to regex patterns. Common causes:

1. Missing C compiler - Tree-sitter needs to compile language grammars 2. Incomplete setup - User didn't run aud setup-claude --target . which installs the AST tools 3. Old installation - Before we fixed the [ast] dependency inclusion

If your code had syntax errors, you'd get different errors entirely (and your code probably wouldn't run). The "AST parsing fails" message specifically means Tree-sitter isn't available, so we're using the fallback regex patterns instead.

Just pushed clearer docs about this today actually. Run aud setup-claude --target . in your project and Tree-sitter should work properly.


Conversely, I often think about the value I add by being interruptable, by helping my colleague with something that might save him more time than I lose. Good for the company.


This is a valid point. But another aspect of interruptions is if they add to the experience of stress, and thus contribute to a toxic work environment.


> Good for the company.

Unless you’re C level, this thought shouldn’t even cross your mind. Look after yourself.


Well, no, the thing that should never cross your mind is prioritising the company over yourself or other human beings.

The entire reason the company is employing you is to have you do things that are good for it. If you want them to keep employing you (and also to give you more money) then you should be looking out for things that are good for the company, doing them and then making sure that management knows that it was you that did it.


There are things that are good for the company and things that are "good for the company". Saving others time at the expense of yours is the second.


Why?


Because it is terribly low-effort. People are here for interesting and insightful discussions with other humans. If they were interested in unverified LLM output… they would ask an LLM?


Who cares if it is low effort? I got lots of upvotes for my link to Claude about this, and pncnmnp seems happy. The downvoted comment from ChatGPT was maybe a bit spammy?


> Who cares if it is low effort?

It's a weird thing to wonder after so many people expressed their dislike of the upthread low-effort comment with a down vote (and then another voiced a more explicit opinion). The point is that a reader may want to know that the text they're reading is something a human took the time to write themselves. That fact is what makes it valuable.

> pncnmnp seems happy

They just haven't commented. There is no reason to attribute this specific motive to that fact.


> The point is that a reader may want to know that the text they're reading is something a human took the time to write themselves.

The reader may also simply want information that helps them.

> They just haven't commented.

Yes, they did.


> The reader may also simply want information that helps them.

The reader will generally want at least a cursory verification that it is information that helps, which dataflow didn't try to do.

Especially when you're looking for specific documents and you don't check if the documents are real. (dataflow's third one doesn't appear to be.)


This I agree with completely.


Yours was a little bit more useful, it you essentially used the LLM as a search engine to find a real article, right?

Directly posting the random text generated by the LLM is more annoying. I mean, they didn’t even vouch or it or verify that it was right.


Perhaps this:

Henry J. Kelley (1960). Gradient Theory of Optimal Flight Paths.

[1] https://claude.ai/public/artifacts/8e1dfe2b-69b0-4f2c-88f5-0...


Thanks! This might be it. I looked up Henry J. Kelley on Wikipedia, and in the notes I found a citation to this paper from Stuart Dreyfus (Berkeley): "Artificial Neural Networks, Back Propagation and the Kelley-Bryson Gradient Procedure" (https://gwern.net/doc/ai/nn/1990-dreyfus.pdf).

I am still going through it, but the latter is quite interesting!


Count another in the win column for the USA's heavy investment into basic sciences during the space race.

So sad to see the current state. Hopefully we can turn it around.


Maybe one shop made these in a big city. Adventurous men bought them, brought them home and gave them to their wife. A great novelty noone has seen at home. So precious they bring them to their grave.


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