Will there be a large-dose trial? I imagine that’s going to be more difficult, as the weight-loss effect of GLP-1 means you cant include frail patients in your target group. And GLP-1 at high doses also has some unfavourable side-effects: nausea, vomiting, diarrhea, constipation.
While Bitcoin is designed to reward high energy consumption the opposite is true for the fiancial system, since lower energy costs would make the different processing entities earn higher margins.
Thus, the financial system provides much more utility for the energy it consumes than bitcoin does.
It seems most commenters here are trying to use the default model, which is akin to chatting with non-tuned GPT.
There is a 7b-chat model, which answers perfectly to questions like “who are you?”
One interesting point it emphasises is just how important insurance coverage is for survival. And that government insurance processes can be rather arbitrary or even injust.
I hope this book is successful and that it makes a change towards more equitable healthcare in the United States.
ChatGPT already works suficiently well in my own language (Danish). It can probably be improved, but so far it has worked well enough for several news stations to report on ChatGPT while prompting it in Danish. And schools are also worried about its ability to write essays in Danish, among other things.
Chrome is the iPhone of the browser world - there are probably things in other browsers that work better, or that you could customize to fit your needs, but instead of spending the time to optimize those you can just choose chrome and you'd be pretty satisfied overall.
> But such is the world we find ourselves in that anything short of a ground-breaking discovery is treated as an unacceptable embarrassment. And thus, every marginal increment is touted as ground-breaking, and every deviation is repackaged to look like an intended result (which is again touted as ground-breaking)
Hi! I thought this was an excellent recap of the whole climate crisis, from the initial discovery to the most recent developments. It also features some incredibly engaging writing and an interesting structure which works surprisingly well.
Hope you enjoy!
Do you mean that if you start prioritising things differently, then that is a cause of concern? And so you take a vacation in order to 'reset' your priorities?
This does some clever stuff in the background, e.g. query optimization and performing the computations of a 'for'-loop concurrently (potentially over multiple machines in a cluster). So in my experience there was a bit of latency for the query to execute, but then it executes faster and on much larger datasets than regular JS could handle.
Just like how you could easily manipulate tabular data using numpy or pandas (or excel), but SQL allows you to do it declaratively, which has benefits in some cases.
Looks to me like JMESPath is more similar to XPath, while JSONiq uses statements like 'let', 'for', etc. which are more similar to SQL (and seem more readable to me).
I took Ghislain Fourny's Big Data course at ETH last year and found working with JSONiq quite pleasant. I think it makes writing complex queries quite simple, and way more readable than trying to do the same in a query language like SQL, XPath, etc, and since json seems to be fairly standard it is also useable out-of-the-box for a lot of data "in the wild".
It is my impression that the tooling is a bit difficult to setup though.
Another thing is that it supposedly can scale to absolutely massive datasets, since there is a Rumbe/Hadoop backend.