But actually, I'm writing to tell you that many of the OTHER things you have done have had a huge positive impact. Gitlab foundation, for example, has been extraordinarily impactful on our organization and many others.
This is the way!
61 karma · joined June 13, 2016
But actually, I'm writing to tell you that many of the OTHER things you have done have had a huge positive impact. Gitlab foundation, for example, has been extraordinarily impactful on our organization and many others.
This is the way!
How far do they take the satire? If you pay them do they actually generate output?
Tech for good: We're a tech nonprofit building an AI Career Coach for education and workforce development customers. We are a well-funded, remote-first 501c3 that has been developing large-scale career platforms for underrepresented youth for over a decade. We've served millions of young people, and are an early mover on AI within the nonprofit space. The stack is Django, Langchain, React. AWS and GCP. Multi-LLM.
We have four software engineering positions open: https://boards.greenhouse.io/careervillage
https://trends.google.com/trends/explore?date=today%205-y&q=...
Maybe a little something going on with typeerror? Or just noise. But it definitely doesn't look to me like evidence supporting the article's claim.
FastForward is probably the largest and furthest along in organizing around Tech Nonprofits specifically, with a pretty solid base of alumni success stories(https://www.ffwd.org/).
I'd also look at Visible Connect, which is tech nonprofit focused. Full Circle Fund, if you're in the Bay Area. Since you mentioned you're in Education, you should also look at the Aspire Accelerator, which isn't exclusively tech nonprofit but includes many tech nonprofits.
You could also consider YC which has taken a few nonprofits.
I went through this as well. 10 years ago I was at the peak of a career but missing purpose. I rededicated my life to serving other people. It has given me a whole new lease on existence, and I can't recommend it enough. It really feels better to give than to receive!
The short, overly simplistic answer is that all you need to do to rededicate yourself to a life of helping people is to listen and learn to what they need. Volunteering is a good way to learn about people who need help, but it's not the only way. Volunteering in person can be tough right now because of COVID, but there are some things you can do online, and if you have a bit of patience you could wait until in-person volunteering picks back up again and then establish some goals for yourself (e.g., "volunteer at least 3 days each month for 6 months")
Outside of volunteering, you could take time to listen to and learn about people who you think might need help. Depending on your geography, those might be different folks.
If the things above STILL don't work for you, you could do something that is maybe slightly more dangerous, but still can work. Flip it around and look for things to be outraged by. Things you can't stand. Mass deforestation. Racial injustice. Human trafficking. 1000 other injustices to choose from. And then get active! (Be cautious with this one -- rage alone isn't productive -- you have to mix your outrage with your proactive strengths and positive energies too!)
In my case, I ended up discovering my passion for helping low-income youth prepare for careers, which became my full-time focus and it's been a true privilege to work on.
One thing I've always been concerned about when negotiating a legal agreement is how I verify that the tracked changes actually track every change. Because Word lets the user decide which changes to track, I'm always reading the untracked sections as well to confirm that no other changes were sneakily introduced. That's something that git addresses well. Does Word have a solution there? If not, does that ever concern you?
Caveat: Unlike Github we actually do have user-generated labels to start with, so our modeling problem has one-step less complexity than theirs but are otherwise the same.
(TL;DR If you have gold standard data to start with and no time to read academic articles, try fastText supervised learning. If you have time to read academic articles, start with a lit search.)
Source: I run a charity.