marmaduke

ha, yeah, thanks.

no, wrote it by hand for use with my own Heun implementation, since it’s for use within stochastic delayed systems.

jax is fun but as effective as i’d like for CPU

looks like a nice overview. i’ve implemented neural ODEs in Jax for low dimensional problems and it works well, but I keep looking for a good, fast, CPU-first implementation that is good for models that fit in cache and don’t require a GPU or big Torch/TF machinery.

i like how the contraction it’s and abbreviation T’is are anagrams

that’s not what the story says. in any case, the point is to explain, in terms of dualistic if-then logic, that the if (you practice now) and then (you will wake up) are a single non-dual thing. but to communicate in in terms which make sense to the dual, if-then mind, one needs to use dualistic language.

do you have a link for your game? how was the release process?

how far from your previous experience is the game work?

i wonder if there are any semi automated approaches to finding outliers or “things worth investigating” in these traces, or is it just eyeballs all the way down?

having worked on whole brain modeling the last 15 years and european infra for supporting this kinda research, this is a terrible buzzword salad. the pdf is on par with a typical masters project.

HH is kinda the opposite of LIF on the abstraction spectrum.

The pigeon experiment is a great one to learn from not just about programming or software, but about life in general. Where are you getting your next dopamine hit? Is it random? Maybe that’s where our idiosyncrasies come from.

> CPUs have the memory capacity advantage

perhaps also more precisely they also have quite an advantage on anything that needs and plays nicely with caches? when I sliced my problem to maximize cache usage, I saw pretty clear scalability with cores: L1/L2 cache bandwidth is ~30GB/s, so e.g. a 32 core system starts to compete with the big consumer GPUs.