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.
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.
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 LLMs, reinforcement learning, multi-modal models, manifold learning, and evolutionary strategies.
Feel free to reach out for anything, even just to chat.
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.
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.
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.
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: sasha.hydrie@gmail.com
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: sasha.hydrie@gmail.com
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.
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.