iMage

I was one the interns featured in the article, and I would agree with that sentiment.

Many of my colleagues and fellow interns were skilled programmers, but very few—if any—inherently possessed something that you or I don't have. The intern class was primarily composed of individuals with a curiosity for technology and circumstances that enabled their exploration.

I recognize the ease of feeling dissatisfied with one's own achievements; I doubt that receiving an offer from Jane Street for you or gaining admission into a elite school for myself would quell our insecurities. You've accomplished a lot, though I don't know how to help you recognize that.

  Location: Saint Paul, MN
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Python, TypeScript, GCP, MongoDB, Postgres, OCaml, Rust, LaTeX, misc dabbling
  Résumé/CV: https://icalculated.github.io/quartz/2022-08Resume.pdf
  Email: [email protected]
  GitHub: https://github.com/iCalculated
  LinkedIn: https://www.linkedin.com/in/shydrie/

Undergrad at UMN with a strong math background looking for opportunities in machine learning. I am currently a full-time student but I'd be interested in taking a semester off to work in spring, potentially through summer.

I have practical experience with ML from competing in several hackathons this past year.[1] Most recently, my team won the education track at HackMIT with a VSCode extension that revises the user's code with an LLM and explains the changes.[2] (We also pitched the idea to YC in their sponsor event and won an anytime interview so that's cool.)

I am currently working through fast.ai and am taking several graduate-level courses on ML theory to solidify my fundamentals. Areas of interest are LLMs, reinforcement learning, multi-modal models, manifold learning, and evolutionary strategies.

Feel free to reach out for anything, even just to chat.

[1]: projects can be seen here, don't mind the goose theme: https://devpost.com/iCalculated [2]: don't expect anything cutting edge here, it was a 24-hour hackathon: https://spectacle.hackmit.org/project/118

  Location: Saint Paul, MN
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Python, TypeScript, GCP, MongoDB, Postgres, OCaml, Rust, LaTeX, misc dabbling
  Résumé/CV: https://icalculated.github.io/quartz/2022-08Resume.pdf
  Email: [email protected]
  GitHub: https://github.com/iCalculated
  LinkedIn: https://www.linkedin.com/in/shydrie/

Undergrad at UMN with a strong math background looking for opportunities in machine learning. I am currently a full-time student but I'd be interested in taking a semester off to work in spring, potentially through summer.

I have practical experience with ML from competing in (and winning!) several hackathons this past year.[1] Most recently, my team won the education track at HackMIT with a VSCode extension that revises the user's code with an LLM and explains the changes.[2] (We also pitched the idea to YC in their sponsor event and won an anytime interview so that's cool.)

I am currently working through fast.ai and am taking several graduate-level courses on ML theory to solidify my fundamentals. Areas of interest are computer vision, reinforcement learning, and computer vision.

Feel free to reach out for anything, even just to chat.

[1]: projects can be seen here, don't mind the goose theme: https://devpost.com/iCalculated [2]: don't expect anything cutting edge here, it was a 24-hour hackathon: https://spectacle.hackmit.org/project/118

Out of curiosity, what was the video?

I believe that he is referring more broadly to forms of governance in DAOs (though I believe they're all on turing complete chains). For example, OpenZeppelin provides some quickstart governance contracts[1] that are all coin-based voting systems. There are some simple ways around this, like to make voting power proportional to the square root of token ownership but obviously one address != one human voter.

Vitalik wrote about some alternatives[2] on his blog, such as proof of humanity, proof or participation or staking based solutions primarily but most significant projects are still using coin-voting.

[1]: https://docs.openzeppelin.com/contracts/4.x/governance

[2]: https://vitalik.ca/general/2021/08/16/voting3.html

  Location: Saint Paul, MN
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Python, TypeScript, MongoDB, PostgreSQL, React, OCaml, Rust, LaTeX, misc dabbling
  Résumé/CV: https://quartz.defyingentropy.ml/2021-10Resume.pdf
  Email: [email protected]
  GitHub: https://github.com/iCalculated
  LinkedIn: https://www.linkedin.com/in/sasha-hydrie-917743183/

Undergrad at UMN with a strong mathematical background looking for internships and part-time opportunities. Recently I've been exploring the web3 space, especially DAOs and DeFi.

Feel free to reach out for anything, even just to chat.

  Location: Saint Paul, MN
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Python, TypeScript, MongoDB, PostgreSQL, React, OCaml, LaTeX, misc dabbling
  Résumé/CV: https://quartz.defyingentropy.ml/2021-10Resume.pdf
  Email: [email protected]
  GitHub: https://github.com/iCalculated
  LinkedIn: https://www.linkedin.com/in/sasha-hydrie-917743183/

Undergrad at UMN with a strong mathematical background (modeling, machine learning, group theory) looking for internships in particular. Hoping to find opportunities to work on hard problems with smart people, preferably while learning some new technologies.

Feel free to reach out for anything, even just to chat.

  Location: Saint Paul, MN
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Python, TypeScript, MongoDB, PostgreSQL, React, LaTeX, misc dabbling
  Résumé/CV: https://quartz.defyingentropy.ml/2021-8Resume.pdf  
  Email: [email protected]
  GitHub: https://github.com/iCalculated
  LinkedIn: https://www.linkedin.com/in/sasha-hydrie-917743183/

Undergrad at UMN with a strong mathematical background (modeling, machine learning, group theory) looking for internships in particular. Hoping to find opportunities to work on hard problems with smart people, preferably while learning some new technologies.

Feel free to reach out for anything, even just to chat.

  Location: Saint Paul, MN
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Python, JavaScript, MongoDB, Express, Node, LaTeX, misc dabbling
  Résumé/CV: on request
  Email: [email protected]
  GitHub: https://github.com/iCalculated
  LinkedIn: https://www.linkedin.com/in/sasha-hydrie-917743183/

Incoming undergrad at UMN with a strong mathematical background (modeling, machine learning, group theory) looking for internships in particular. Hoping to find opportunities to work on hard problems with smart people, preferably while learning some new technologies.

Feel free to reach out for anything, even just to chat.

  Location: Saint Paul, MN
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Python, JavaScript, MongoDB, Express, Node, LaTeX, misc dabbling
  Résumé/CV: on request
  Email: [email protected]
  GitHub: https://github.com/iCalculated
  LinkedIn: https://www.linkedin.com/in/sasha-hydrie-917743183/

Incoming undergrad at UMN with a strong mathematical background (modeling, machine learning, group theory) looking for internships in particular. Hoping to find opportunities to work on hard problems with smart people, preferably while learning some new technologies.

Feel free to reach out for anything, even just to chat.

Do you have any recommendations for finding refurbished Aerons? Are there any things that I should look out for when purchasing one?

You can click the lock icon to the right of the toolbar.

Under a different comment he said his email is "leisenming AT protonmail DOTcom"

One of my favorite calculus textbooks that I've ever read is (Calculus Made Easy)[http://calculusmadeeasy.org/], available in entirety at the link. The book does a great job of not being pretentious about the subjects, the subtitle is even "What one fool can do, another can."

He says that he uses Stripe to get money from his users, specifically noting the API as a source of income.

Here is the pricing page: https://www.listennotes.com/api/pricing/

I"m not doing too well. Obligatory I'm doing better than many here, but I still feel that I have my own problems.

For one, I'm younger than many people here, so about a year from now I've got all of the fun of the college application process to look towards. This year I've started taking all of my classes at my state's university, which has been a very good experience academically, so for the first time there is a real feeling that my grades matter. This stems from two roots, first I have a feeling of imposter syndrome when it comes to learning and also I'm worried about being a class in which I have a hard time following the professor or the assignments seem unclear, which I am currently experiencing in one of my classes. Also, I still have activities at my high school before and after university, so I spend over two and a half hours every day commuting.

That ties into another of my problems, I feel like I over-invest in everything I do and it often hurts, though I have yet to be entirely burned by anything. Currently I'm on an FRC team, and have lead an initiative to put rookies through FTC and I'm the main student coordinator on that while feeling that I myself don't know enough or have the time to learn.

This post in itself has been disconcerting for me, I've always felt that my mindset is very similar to others on HN, just a decade or two younger, and I very much imagine being in similar situations to many here a few years from now. I'm struggling with questions such as whether I'll be able to get into top colleges, or even the worth of getting into such programs assuming that financial aid is hard to come by.

I have yet to enter the workforce, but as someone who has done a bit of programming for fun and really liked programming-interview type websites I think I'd be decently prepared for a whiteboard interview.

The thing is, I have barely any (read as: no) software engineering knowledge and don't know how to build any sort of programming product.

It would be interesting to advertisers put out competing adds and users having the choice to watch them. Potentially some lesser known names could emerge, because larger companies already have recognition and would be less motivated to create voluntary ads.

As a current high school student I know that my school's software has similar weaknesses. I talked to our IT "department" (we only have one active person that I know of) and he said the district does not really have anywhere to bring up the issue.

I'm always amazed by the funds that companies manage to acquire from VCs without a (developed) product. Having recently read Bad Blood it's horrifying to see how often similar situations arise.

I can certainly vouch for CS50, when I was in middle school I messed around with programming, but taking CS50x was what made the intuition and process come together for me.