The Girl Who Cried Pain: A Bias against Women in the Treatment of Pain https://philpapers.org/rec/HOFTGW-3

Sex bias in pain management decisions https://www.pnas.org/doi/10.1073/pnas.2401331121

Gender Bias and Diagnostic Delays in Young Women: A Narrative Review https://pmc.ncbi.nlm.nih.gov/articles/PMC12829432/

There is a huge body of research that shows systematic downplaying, ignoring and rating women's health and pain concerns much lower than they are.

I can believe this. I know a lot of rural healthcare workers. The older farmer man type will not come in unless they're basically dying. They're taken seriously pretty much immediately in a way that would probably appear as sexist.

Working on it!

Didn't you just suffer from the same trap the parent was trying to avoid?

Yeah, this is a bit of a strawman of an LLM task.

On editing tasks, one should only allow programmatic editing commands, the text shouldn't flow through the LLM at all. The LLM should analyze the text and emit commands to achieve a feedback directed goal.

price, 165$ which is ridiculous for a device that costs them less than 20$ to build.

If an LLM has memorized a book, doesn't that mean that too much computation was wasted on using backprop to get that data into the network? It should be learning relationships, not memorizing swaths of text.

People in those countries do have qualms, they are people after all and they choose to work in other fields.

If true, I don't see that as an impediment for replacement. I am sure A16Z would agree. Lots of other inputs feed the calculus, some portions of the business might run hotter.

The creator is working here https://www.meshy.ai/ even before that I think they switched to a private fork as they were doing the bulk of the work.

https://github.com/taichi-dev/taichi/discussions/8506

Assume all of this is wrong.

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Corruption eats the country from inside out. Get out while you still can