lvca.dev
Luca De Leo
Karma: 119
Maybe a little late, but here is an android app that does recordings, you can contribute directly on the github.
Other potential project ideas that can help with this are:
An iPhone app
A discord bot like Craig that’s a little more streamlined in that after it finishes recording it automatically sends the file without more need from the user.
Something similar for zoom + meet + teams
I’m a current intern at Nonlinear and I think It would be good to add my point of view.
I was offered an internship by Drew around 3 months ago after I contributed to a project and had some chats with him. From the first moment I was an intern he made me feel like a valuable member of the team, my feedback was always taken seriously, and I could make decisions on my own. It never felt like a boss relationship, more like coworkers and equals.
And when I started putting in less hours, I never got “hey you should work more or this is not gonna work out” but rather Drew took the time to set up a weekly 1 on 1 to help me develop personally and professionally and get to know me.
I can only speak for myself but overall I’m very happy to be working with them and there’s nothing about the situation I would call mistreatment.
I recently helped start an AI Safety group (together with @Eitan) at the University of Buenos Aires, so this is incredibly useful—thank you!
A few observations from our experience:
Mailing lists have been great for outreach. We were lucky to have a faculty member who was excited about our initiative. They sent emails on our behalf, vouching for us, and have attended most of our sessions.
We also presented an AI Safety paper at an AI paper club and handed out flyers with a QR code to join our Telegram group at AI-related classes. This approach had moderate success.
In hindsight, we should have created a well-formatted Notion page with all the details and an FAQ earlier.
We’ve noticed that most participants read the material before class, but almost no one does the exercises. To address this, we now split the group at the start of each session: one group for those who completed the material and another for those who didn’t. The first group dives into open questions, while the second gets a brief summary.
Initially, we didn’t emphasize catastrophic risks too much. We framed it as an exploration of the risks and transformative impacts of AI on society. The course materials naturally introduced these heavier topics, so it was more of a gradual realization for participants. Interestingly, one of our regular attendees, a physics professor, came to learn about reducing bias in her research, only to discover AI Safety was much bigger than she expected.