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Mariehane

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Hi! Glad to see you, since I rarely post!

I am interested in the intersection of Machine Learning and Oncology.

Here's two projects I was involved in:

- An analysis of sepsis algorithms in hospitals: https://www.statnews.com/2022/02/28/sepsis-hospital-algorithms-data-shift/

- A model for lung cancer risk from a single CT: https://ascopubs.org/doi/full/10.1200/JCO.22.01345

If you're doing exciting, challenging work related to this space, Please reach out!

  /in/ludvigkarstens
  ludvig[at]c.dk
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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.

Sora 2 10 months ago

But then you’re creating an incentive for the AI slop to become so realistic it is indistinguishable from actual video.

Unless there some fundamental, technical way to distinguish the two, I wonder who would win?

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?”

I read an absolutely heart-wrenching excerpt from this book (The People's Hospital) recently in the new yorker. See: https://www.newyorker.com/science/annals-of-medicine/the-ass...

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.

[dead] 3 years ago

The website has a '©Open AI™ 2014 - 2023' text in the bottom right if you go to another page. Maybe this supports the domain squatting / trademark abuse hypothesis?

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)

This is a very nice quote.

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!

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.

  Location: Copenhagen, Denmark
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Python (PyTorch/Tensorflow), Swift, Postgres/MySQL/SQLite, Hadoop/Spark/HBase.
  LinkedIn: /in/ludvigkarstens  
  Résumé/CV: [available on request]
  GitHub: https://github.com/mariehane
  Email: ludvigkarstens [at] hotmail.com
I’m a visiting student at MIT (originally University of Copenhagen), doing my thesis on lung cancer risk prediction from CT scans. I also have experience from student positions for a number of companies, doing full stack (mobile, frontend and backend) development. However I'm primarily interested in Machine Learning and large-scale data processing (big data) for projects that have an impact on the Health Sciences.

I always love to talk to people doing exciting, challenging work. So please reach out!

Location: Copenhagen, Denmark.

Remote: Yes.

Willing to relocate: Not at the moment.

Technologies: Python (Flask/PyTorch/Tensorflow), HTML/CSS/JavaScript, Swift, C# (Xamarin), Postgres/MySQL/SQLite, MongoDB, Hadoop/Spark/HBase, Linux, Git.

Resume/CV: Available upon request

LinkedIn: /in/ludvigkarstens

Email: ludvigkarstens [at] hotmail.com

I’m a 24 y/o CompSci masters student. I have experience from student positions for a number of companies, doing full stack (mobile, frontend and backend) development. However my academic interests are mainly in Machine Learning (NLP) and large-scale data processing (big data).

Looking forward to your email/PM!

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