People are more lenient on farming because humans need agriculture to survive. Obviously not all agriculture is necessary for survival, but it's something that in some way provides real tangible benefits for everyone.
On the other hand, if AI data centres all disappeared today, humanity would continue on completely fine.
Second-gen tablets might increase dementia risk by a small-to-medium amount (there's almost certainly still a small degree of CNS activity, and we don't know what causes dementia in the first place), but researching it will be difficult. Dementia is hard to research because of how long it takes to develop, and it's poor coding within health data, and antihistamines are hard to research because they're not often prescribed and aren't available in the health data.
If it's a large effect, those factors wouldn't matter, but smaller risks are harder to detect and more sensitive to bias. If you want to minimise dementia risk, then reducing antihistamine use might be warranted, but you're probably better off addressing the risk factors we do know about: https://www.dementia.org.au/brain-health/risk-factors-develo...
In my experience with health data, the dates are usually offset by a random but constant amount for each person (e.g. id 12345 will have all their dates shifted by +5 weeks) to avoid identification by dates.
Unfortunately the sequence of treatments and locations are usually enough to identify someone, especially if it's a rarer condition.
Not really, you still have to validate the structures it estimates, which minimises any speed gains.
It can help a little bit in the early stages of drug design, but even if it was perfect (which it's not), there's a massive gap between understanding a protein structure, and understanding how a drug will or system will interact with it.
In a broader sense, understanding the structure of a protein is only a small part of drug development. Unfortunately biology is complicated, and we're an extremely far way away from solving it.
I mean the difference is that you just take one in the morning? Which makes adherence easier, makes sure that the delay is constant rather than variable, and reduces abuse liability.
(As an aside, there are more complex extended release mechanisms than just delayed bead release - like lisfexamfetamine is a inactive prodrug, so cleaving the lysine off the amphetamine is rate limited. This has the effect of extended the duration of effect, and reduces the potential to abuse by snorting/iv/etc).
I'm pretty sure this take is incorrect on multiple accounts. Trans demographics tend to skew towards trans women by about a third, not trans men - at least in all the research I've come across.
And regardless, increased acceptance and awareness of different gender identities can very plausibily explain increased numbers, not "social contagion". Calling it a contagion is pretty indicative of your underlying beliefs here.
Why would ChatGPT replace google search when search also has AI? At best they'd steal some of Google's market share, which I'd imagine would decline with embedded ads.
There was a study where they tested the effects of ADHD meds on test performance and perceived performance. It found that stimulants increased perceived performance for everyone, but actual test scores were only improved for people with ADHD.
It's called the news media bargaining code. Technically speaking, the law isn't enforced since Google/Meta chose to voluntarily pay the link tax, rather than be put on the list that would force them to pay. But, at the end of the day it's the same effect.
Because they won't be forced to provide identification directly, they'll be forced to provide an age verification token that's linked to government identification. It's the same end result (a way to link your identity to the sites you use), but with extra steps.
And honestly with the government's track record when it comes to privacy and technology, I don't think they deserve the benefit of the doubt.
Well to be fair, big pharma doesn't release preclinical results the same way that academia does. There might be no published work to support the hypothesis, but that doesn't mean they haven't done preclinical work.
They absolutely can be patented, look at what happened with esketamine. If these molecules work, pharma will just change them slightly (or reformulate) and sell them at a premium.
On the other hand, if AI data centres all disappeared today, humanity would continue on completely fine.