The dumb fucks.

It’s got what plants crave.

Empathy is weakness.

Oh shit, I just remembered that I have cheese!

If you had told me 30 years ago that China would be “Brave New World” and the US would be “1984” I would have thought that you got it backwards.

It would need to first BE affordable in order to keep it affordable.

It costs hundreds of dollars per month, 20% per visit. Unless you want to roll the dice with no out of pocket max, you’ll still have to deal with networks and a 17% denial rate. It’s still insurance and, as such, does nothing to prevent the vicious cycle of exorbitant overcharging in the healthcare industry.

Health insurance in America is designed to extract as much wealth as possible, actual care is an afterthought. We need single payer, or at least a HEAVILY regulated multi-payer system. We need to simply take care of people when they are sick and to stop the artificially inflated prices. Medicare doesn’t go far enough.

It’s all farty butt-talk, if you ask me.

Discovering what Medicare really means is depressing as fuck. We need single payer, insurance must die.

https://youtube.com/shorts/EB_rlLJaCmw

American non-prisoners are often not given prompt or effective medical care too.

It’s not a good situation.

Trump is perhaps the catalyst, but he is certainly not the reason.

The Last Hairbender

It’s probably a legacy code quality issue too. If your code is a mess, the only fix it can find is a kludgy one. The first thing I had it do, once it was good enough to do real work, was a legacy refactor to get architecture up to best practice standards. Heck, even OpenAI’s Harness Engineering specs say that this is essential to do first. I suspect that many of the people saying it comes up with shitty solutions are the same ones that always complain about over-engineering.

You’ll also get subpar results if you just have it start coding without fully architecting its solution first. Just like a real developer.

Maybe it’s just because Anthropic is so many more miles ahead than OpenAI, but I have not had the “it doesn’t work” experience that people are talking about here. I’ve set up agentic pipelines with code architecture guidelines, the orchestrator calls the implementer, tester, reviewer when needed. If the developed code isn’t up to standard or the work item isn’t fully captured, it’ll reject it and send it back to implementation. It invokes the architect if it runs into something unanticipated. The pipeline can run a feature with high accuracy and very little input.

I’ve even used it to run batteries of frozen experiments on self synthesized data using its own simulation harnesses to discover novel techniques that work in the real world. If it isn’t helpful, I feel like you are doing it wrong.

This sounds sketchy as fuck. I wonder what’s really going on.

It actually does, just don’t talk about the median.

So the price of whisky is gonna be reasonable again, right?..right?..

sad face

That last change is overly optimistic.