funnygiraffe

7 ms·

1.
Why 'career cushioning' is booming(fastcompany.com)
2 points by funnygiraffe 24d ago|0 comments
2.
by funnygiraffe 25d ago
Maybe this? https://news.ycombinator.com/item?id=46589279
3.
by funnygiraffe 27d ago
I wonder how much chance of broader adoption Mojo has now when seemingly everyone has succumbed to that LLM laziness.
4.
by funnygiraffe 29d ago
Not sure this is fully accurate. Managing kids can use up one's will power or self control resources considerably. There can also be sleep deprivation with young children and other energy drain. I'm not really sure but my focus &#
5.
by funnygiraffe 29d ago
Exactly this! When I had my first two kids only a year apart and early in my career, I thought I'm giving something up because I could no longer invest as much time and effort into my projects and research ideas as before. But in retro
6.
by funnygiraffe 29d ago
For that particular issue you can improve your "gambling" odds by having kids at a younger age, rather than waiting until you've optimized your career and environment.
7.
Notes on purposeful skill maintenance/improvement/neglect(alexejgossmann.com)
1 points by funnygiraffe 1mo ago|0 comments
8.
by funnygiraffe 8mo ago
Why aren't those types of clinical trials, enabling faster iteration speed, moved to countries with less strict regulation?
9.
by funnygiraffe 1y ago
What about the North Korean escapees who claim that, out of hunger, they have been extracting and (re-)eating corn kernels out of their own poop (implying there must be more than 2 for the effort to be worth it) - are they full of shit?
10.
by funnygiraffe 2y ago
"226 of 521 FDA-approved medical devices, or approximately 43%, lacked published clinical validation data." The lack of "published" clinical validation studies implies neither that the AI developer performed no clinical
11.
by funnygiraffe 2y ago
I was under the impression that with LLMs, in order to get high-quality answers, it's always best to keep context short. Is that not the case anymore? Does Claude under this usage paradigm not struggle with very long contexts in ways a
12.
The Ethics of Relational AI – Expanding and Implementing the Belmont Principles(nejm.org)
2 points by funnygiraffe 2y ago|0 comments
13.
by funnygiraffe 2y ago
Why are we so sure that a lot of "previously intractable problems" are/will be solved with this family of methods? (and I mean real-life/real-world problems, not toy problems constructed specifically to show the proposed
14.
by funnygiraffe 2y ago
Thanks. That's certainly very interesting. Albeit it seems to me that the number of jobs doing geometric and topological ML/AI work in the drug or protein design space would be quite limited, because any discovery ultimately has t
15.
by funnygiraffe 2y ago
Is geometric, topological, and algebraic ML/data analysis actually used in the industry? It is certainly beautiful math. However, during grad school I met a few pure math PhD students who were saying that after finishing their PhD they
16.
by funnygiraffe 2y ago
Are you also currently working on regulations in the medical and healthcare spaces?