But this shows that theres no eating processed food --> get depressed causation, just a correlation. Otherwise a perfectly happy person who eats a lot of tv dinners would inexplicably get sad with nothing else in their life changing.
Others urged greater caution. Prof David Curtis, an honorary professor at University College London Genetics Institute, said: “The only foodstuffs which [this study] shows are associated with increased risk of depression are artificial sweeteners. Of course, this does not mean that an effect of artificial sweeteners is to increase depression risk – it is just that people with increased risk of developing depression tend to consume larger quantities of artificial sweeteners.”
But the authors disagree. Prof Andrew T Chan, chief of the clinical and translational epidemiology unit at Massachusetts general hospital and co-author of the research, said: “The strength of our study is that we were able to assess diet several years before the onset of depression. This minimises the likelihood that our findings are simply due to individuals with depression being more likely to choose ultra-processed foods.
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Seems to be a correlation study to me. I also don't see any controls for other circumstances, so it can also be explained that other factors could contribute both to eating processed foods and getting depressed (ex: working long hours, having low income, relationship stress)
How were PCs able to work on a smaller scale? I've been looking into the chips/model trends and I can't see local models that perform at the same level as GPT happening in the near future.
I want to see a comparison between it and some professional athletes, I think it can seriously compete with them now. I can't wait for the day we have robot (american) football and boxing
It's entirely possible hacker news/users is a part of the training dataset. It was a part of The Pile (https://arxiv.org/abs/2101.00027), and we included usernames along with the item. Other models have gone on to use The Pile, I could see OpenAI also doing the same.
Are there businesses built explicitly on unbundling? I think there are examples of unconscious unbundling (picking the best individual components of a service/stack) but the goal is never to unbundle. Then a business comes along whose sole purpose is to bundle, but with that comes bloat. And then the cycle continues.
How competitive are the filters? Also, what did you do in the 2 years to make a competitive app? I have published some CS research in the past, so I imagine I would have to do some. Shadowing in addition to the hard constraints of MCAT/classes.
I'm not sure off the top of my head, but it depends on what exactly the specialization is. I'd imagine it's roughly around the salary of a software developer. However, education is a much larger investment, so a lot of that money is put towards loans.
Personally I was lucky and didn't have any debt graduating with a CS degree (actually an MS and BS), but if I were to do med school I would need to take out loans