danilor

I wanted to know as well! The resources I found, though, don't mention anything about what is the safety precautions one should take about the dust generated in the process. What masks to use and such. I understand everything should be done wet, but I wanted to know, for example, if one should wear a mask when polishing with cerium oxide even when wet. Maybe I'm being too cautions of this? I do fear what I don't understand! It's hard to make decisions without numbers. If anyone has any info on this please let me know! :)

The page claims that babies can suckle and breathe at the same time, but upon first-page-of-google research, it seems not to be true https://pubmed.ncbi.nlm.nih.gov/34636089/

I got stuck on 7/8 for a good while because I learned the rules wrong. I thought every bracket square needed to be lit.

I couldn't figure if this was published to a journal? Or is it only published to a pre-print server?

This is so nice!!

I'm wondering how hard would it be to extend it to include the whole game state plus all the ROM into the plane at the same time, and have it compute the next step from that!

I'll bring to your attention footnote 1, where author links to an article seemingly arguing against the 'expanding circle'. I haven't read such article nor do I know anything about circles, but I thought you'd like to know it is there.

Great article! You can tell the author is frustrated while the tone being quite considering.

I found the part on self-handicapping a bit strange, though. Is that idea real, measurable psychology, or is it more of an interpretation of behavior? I find it hard to conceive how to properly measure such "unconscious intentions". Maybe I misunderstood the author and they only meant it as an analogy.

I feel like there's more to explore on understanding why people think the world is so doomed. My impression is that those convictions are formed from being blasted with news, and not by looking at data. Are there papers out about this?

Another perspective I'd find interesting to learn about is why is it that people that believe problems are solvable do/do not take action themselves. Could the reason behind the decisions be incredibly multifaceted, or could it correlate strongly with, say, personality traits and age?

As I wrote the paragraph above, I came to realize I don't how to create a study that is able to measure a causation/correlation that only exist when two variables interact. Like when a correlation with X only exists if variables A and B are "high" at the same time, not independently. My first thought is that it's a really difficult analysis to make because there are so many possible combinations and thus many opportunities for things to correlate by chance. I'd be happy to hear if you know how to do analysis as such.

  Location: Rio, Brazil
  Remote: Yes
  Willing to relocate: Yes
  Technologies: c, c++, python, javascript, gcp, aws, docker/podman. currently learning: rust, commonlisp, ruby on rails
  Résumé/CV: https://gist.github.com/returnDanilo/bf48575234aa0a7a05f69cd1e231668a
  Email: returndanilo at gmail

I remember being so blown away by this. I'd go to people with a laptop and say 'do you see this picture of this person??' -- 'no!! this person doesn't exist! it's not a real person!'

I appreciate this as someone learning lisp for the first time!

While I'm here I'll ask: does anybody have a recommendation for resources on learning lisp that focus on how the interpreter/compiler works? Here's what I tried so far: 1) Started Practical Common Lisp, but I found it lacking in the specifics. Then I 2) tried going to the specification but that was way too much. Then I 3) tried Common Lisp The Language and, while I liked the precise definitions a lot, it was a lot to keep in mind at the same time as learning the fundamentals. Right now I'm 4) back at Practical Common Lisp, skipping most of the text and reading surrounding paragraphs whenever if I find a piece of code I don't understand.

I wanted something that will not explain the standard library; I'd rather read the documentation for that. I wanted to know more precisely what happens throughout the program's life: Like, is behavior when running a script in "interpreter" mode guaranteed to be the same as when running in "native compiled code"? At what point does the compiler create an intermediate representation? Why does SBCL not use LLVM? At what point are #-starting words(read macros?) evaluated and how is that different from interpreting to compiling. How do I control the amount of optimization the compiler will do? Will the interpreter ever try to optimize? Is garbage collection implementation-defined? How will implementations change in behavior?

Hey I'm curious as why you chose nongnu to host your project instead of github/gitlab! I don't know much about it, hence my curiosity ;)

I'll share some of the interesting ones I found!

https://maximecb.github.io/Turing-Drawings/#8,3,6,1,0,0,1,1,...

https://maximecb.github.io/Turing-Drawings/#8,3,3,1,1,3,1,3,...

https://maximecb.github.io/Turing-Drawings/#2,22,1,2,3,1,16,...

Would anybody more knowledgeable in the topic help me understand the results of the first graph? Paper is here: https://sci-hub.se/https://psycnet.apa.org/doi/10.1037/hea00... (I haven't finished reading it) Seems the authors claim it's statistically significant, but does it matter if it's clinically significant? 1mm difference seems pretty small, and they conclude that it suggests that it 'can harnessed to improve treatment outcomes'. I'd have understood if the conclusion were that effects exist at all, but not if the claim is that it's useful for something else.

This is a bummer as I had been thinking about grinding my own for some time now. I'd like to know more about it and how I can protect myself.

The only part of the wikipedia for Silicosis that mentions glass is about manufacturing it and, even if it includes the grinding part, the reference it links to doesn't mention glass or grinding at all.

If you have more pointers or keywords about this subject, please let me know!

Do you have a reference on the health hazard aspect you mentioned? I'd heard fiberglass dust is very bad, but not regular glass.

Location: Brazil Remote: Yes Willing to relocate: Yes Technologies: python, c, c++, ruby, rails, javascript, node, vue, docker, gcp Résumé/CV: https://gitlab.com/-/snippets/4802571 Email: returndanilo at gmail

Hey! I'm a self taught programming with a half a maths degree, looking for a first job! I'm building a portfolio; focusing on rails and other technologies more in demand.

I'd love it if we could have a conversation!

Cheers!

  Location: Brazil
  Remote: Yes
  Willing to relocate: Yes
  Technologies: python, c, c++, ruby, rails, javascript, node, vue, docker
  Résumé/CV: https://gitlab.com/-/snippets/4802571
  Email: returndanilo at gmail

As I originally learned programming for fun, I don't have a lot of public validation of my abilities, so now I'm catching up by making contributions to open source projects and learning languages that are more in-demand so that I am fit for a wider variety of jobs.

I'm sure I can adapt to your tech stack quite quickly.

Cheers!

Tip: Click on an image and scroll down for options of higher resolutions.

Off topic: What setup did you use to make this comment so that you used the … character instead of three . characters?

I have difficulty understanding what the transformed image is equivalent to. This makes it feel like the picture was taken at a difference distance and focal length, but[1] it would look different if that were the case because the perspective would be different. Does this have any "physical" interpretation that would make it easier for me to understand? Like, cropping an image is equivalent to changing the focal length; what would this be equivalent to? A type of rectilinear lens?

[1] With the exception maybe for a single plane in focus?

Location: Rio, Brazil. Remote: Yes.

Willing to relocate: Yes.

Technologies: python, javascript, c, c++, git, docker, flask, numpy, pandas, node, aws, gcp, linux, openbsd

Résumé/CV: https://gist.github.com/returnDanilo/e9840bf500c3e7375001b1d...

Email: returndanilo at gmail

Hey! I'm a life-long self-taught programmer and I'm looking for a first job.

I had started a mathematics bachelor's degree a few years ago but I decided to not go down the academic path in face of AGI; I'd rather help an AGI that is safer and a safer transition into AGI.

So now my plan is to get a full time job to pay the bills and, in the free time, get up to date with the recent literature and in a few years be able to join an AI research team.

Location: Rio, Brazil.

Remote: Yes.

Willing to relocate: Yes.

Technologies: python, javascript, c, c++, git, docker, flask, numpy, pandas, node, aws, gcp, linux, openbsd

Résumé/CV: https://gist.github.com/returnDanilo/e9840bf500c3e7375001b1d...

Email: returndanilo at gmail

Hey! I'm a life-long self-taught programmer and I'm looking for a first job. As I only learned coding for fun, I don't have too many finished projects to promote so I'm having difficulty showing my qualifications: I think a technical interview would be more fit for showing what I am capable of.

I had started a mathematics bachelor's degree a few years ago but I decided to not go down the academic path in face of AGI; I'd put efforts into making a safer AGI and a safer transition into AGI.

So now my plan is to get a full time job to pay the bills and, in the free time, get up to date with the recent literature and in a few years be able to join an AI research team.

Has anybody found this link to this study? Or even the title?

I searched the authors in google scholar but I couldn't find it.

Thanks!! I always try to imagine in my head where the sun will be before I book a ticket ;) Now this is more accurate!

If I wanted to know what the community thought of a particular paper, is there a place where I can find a discussion of it? I thought maybe researchgate was the place, but I usually don't see discussion on the paper submission there. I know sometimes you can find the peer reviewer comments before the paper got published, but what I mean is comments from other scientists.

Do you mean a deja-vu? Or do you mean something different?

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  Résumé/CV: upon request
  Email: returndanilo at protonmail dot com

I'm into physics so if your project is anything science or education-related, it's a big plus for me.

  Location: Rio, Brazil
  Remote: yes
  Willing to relocate: no
  Technologies: python, js, C, C++, sqlite, git, docker, godot engine, aws, gcp, twitch API, discord API
  Email: returndanilo at protonmail dot com

I'm very much into physics and math so if your project is anything science related that's a big plus for me!

Does learning to transcribe morse->letters at this speed mean you can also do letters->morse in a traditional morse keyer?

  Location: Rio de Janeiro, Brazil
  Remote: Yes.
  Willing to relocate: Yes.
  Technologies: python, c, c++, bash, linux, docker, git..
  Email: returndanilo at protonmail dot com

I'm a computational math student and I'm also into physics. I'm looking for my first part-time or full-time job while I finish my degree. If you have a mathy and sciency position available -or just want to chat, really- let me know!