drsopp

I made these in 2007 https://trondal.com/oygardstjonn

Many people share this sentiment, many people don't.

Who you belong to depend on at least two things: A) How knowledgable is the AI on what you are working on, B) How well do you wield these new tools to work better than before? (Better here can mean many different things).

This is nothing compared to the peachtreestreets in Atlanta.

I didnt inspect the rest of the code but I guess the table is fetched from L2 on every call? I think the L1 data cache is flooded by other stuff going on all the time.

About dropping the interpolation: Yes you are right of course. I was thinking about the speed. No noticable speed improvement by dropping interpolation. The asin calls are only a small fraction of everything.

I experimented a bit with the code. Various tables with different datatypes. There is enough noise from the Monte Carlo to not make a difference if you use smaller data types than double or float. Even dropping interpolation worked fine, and got the speed to be on par with the best in the article, but not faster.

Did some quick calculations, and at this precision, it seems a table lookup might be able to fit in the L1 cache depending on the CPU model.

"1-bit LLMs" is just marketing. The Shannon entropy of one letter with a 3 symbol alphabet (-1, 0, 1) is 1.58.

https://trondal.com

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.

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

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

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 I agree with completely.

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.

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?

Why?

Perhaps this:

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

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

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.

(2020)

I should have read the abstract.

Isn't a logical next step to extract the depth field? Possible?

I was hoping the paper was on _learning_ theory.

It is common in Norway to also write 22.7.

They did this in Futurama

https://m.youtube.com/results?sp=mAEA&search_query=futurama+...

I agree. However, I have had some good experience using weakly dotted paper for math. Then it is easier to draw graphs by hand.

Here is an example, 4 different dot sizes:

http://trondal.com/p1.pdf http://trondal.com/p2.pdf http://trondal.com/p3.pdf http://trondal.com/p4.pdf

You need to print them to see which one is suitable.

I remember listening on FM radio to my 100MHz computer running FreeBSD, which sounded like calm rain, and to Windows 95, which sounded like a screaming monster.

Yes, ARexx was big. A lot of popular software had an ARexx API so you could script across programs. Pretty awesome. I haven't seen anything like that since.