119 karma · joined January 14, 2022
I haven't looked in super close detail to the paper, but their methods section says that they fit a video model (V-JEPA2) to the fMRI dataset in a voxelwise ridge regression, meaning that the baked in assumption is that the visual response affects each voxel independently. Voxelwise models are very nice for making statistical inferences, but are less good for prediction and modelling tasks, because our brains certainly do not work as collections of independent regions.
BOLD is intensely messy data, and their design is far too simple IMO to reflect anything of reality.
I think you're underestimating the effect of 14 years of daily training in literacy and numeracy.
Again, this isn't saying that Buddhist modernism is bad. I'd argue that having clear eyes about what parts of Buddhist practice you're willing to take and leave is good.
* https://www.sciencedirect.com/science/article/pii/S009286742...
There's 2 solutions I've thought of but haven't tried implementing:
1. A free-recall based approach. Free recall allows you to operate at a higher level of organization and connect concepts at lower levels. However, how you would schedule SRS with free recall is not clear.
2. Have an LLM generate questions on-the-fly so that you don't overtrain on prompts. You might also instruct the LLM to create questions that connect multiple concepts together. The problem with this approach is that LLMs are still not so good at creating good test questions.
Behavioral-only therapies are effective, even if they're not as effective as we'd like. We have the ability to modulate our own chemistry.
Adding to that, a large portion of (important) wet bench work is mind-numbing manual labor. This work really should be done by a tech, but techs are just as if not more expensive than grad students, and techs can leave the job if they're not happy. Which means that grad students are at the bottom of the totem pole of intellectual respect, and PIs who had to do the same expect a lot more "due paying".
Meanwhile, students in computational labs are working from home.
From what I understand of the literature, free recall produces better learning compared to cued recall like flash cards. Part of the reason is that it forces you to organize information and associate it with existing knowledge.
Anecdotally, it's much easier to learn conceptual knowledge, and I don't really feel like my recall of specific facts has suffered compared to traditional SRS.