jamiejquinn

Now there's a bold statement! What makes you think OpenMP is on the way out?

I mean Singapore is also a dictatorship which muddies a useful comparison, but I didn't realise it was so strong on corruption.

I agree it would be nice to see some more formal experiments in this space but you can very easily experiment with this yourself. I had Claude rewrite a C++ simulation code to better adhere to the C++ core guidelines and it did a good enough job. Hard to quantify how good it did...

I appreciate Zig's approach, where the runtime complains when over/underflow occurs with the regular `+` operator but explicitly wraps with `+%` (or even saturates with `+|`). Takes a little getting used to (that and explicit unsigned/signed casts) but it's much clearer.

Wow, that is very restrictive.

A license like GPL is very restrictive, but I wouldn't call it source available. Maybe I'm missing your point?

Would you mind sharing that prompt? I'm struggling to even hit 10% of my Claude quota! I don't want more work out of it TBH but I'm interested...

You can firmly impose a rule and be sympathetic to a small child's reaction to that rule, no? What would you have done differently?

Appreciate the looking good aspect but surely the graphics community also appreciates some level of consistency...?

Damn, coming from the CUDA world, this is quite unexpected. Do you know of any resources on FP in the graphics hardware? I mean do they fit A standard (nvfp, bf, etc?)?

Applied mathematician here.

Where I see models having a huge impact is in simulation code development.

One blocker for years now has been the adoption of GPUs. LLMs can fairly successfully and very quickly port to GPU and suggest/implement useful optimisations. Once it's verified, a code can go from anywhere between 2x to 1000x faster (mainly because CPU codes are so poorly optimised). Some science can reach much greater problem sizes, while some can run the same problems in hours rather than months and both can be revolutionary. Even more than that, LLMs seem to be finding fundamental performance bugs in both open and closed source core libraries so there's a bit of a whole-ecosystem uplift.

Can't comment on the more theoretical, less computational applied maths impacts!

Goddamn Gauss, man.

Agreed. For a long time it felt like most governments/funders accepted that pure research is a necessary part of feeding the applied research machine. And now the funders seem particularly short-sighted.

In saying that, in the spirit of a good faith argument, is there value in temporarily deprioritising pure research in (current) times of funding drought?

"Those rethinks are load-bearing parts of your voice."

Loved the (possibly not deliberately ironic) use of the LLM'S favourite analogy, load-bearing.

Nice wee article though. I particularly agree with "Don’t take all of the model’s copyediting advice." I've been using LLMs to review teaching material and often it just doesn't get the point of teaching. It's good for prompting reflection on your writing but it's still an idiot savant.

Ahh I only do this when reinstalling or moving to a new laptop but it's good to know about Atuin for the future!