chrisa

You can actually share any channel!

It is a very hidden feature though. You have to link your kids account to yours, and then in the Youtube mobile app (not on the web), you can click the three dots button and then share > "with kids"

So that way you can build up a whitelist of channels that they can see in the YT kids account.

True, though pg was talking to college students here, who are (presumably) mostly focused on classes, and have a stable living situation for 2-4 years until they graduate. That's why he says at the beginning that it's not a good idea to start a _startup_ in college (which will take over your whole life)

If you're 100% focused on your startup and trying to make a living, then it's a different story, I agree.

This is my exact setup and it's great. Several pros:

- Relatively cheap since the a6000 is an older camera

- The a6000 doesn't have the 30 minute hdmi limit that some other cameras have (this can be fixed with gphoto, but you have to redo it every time you connect)

- When you're ready you can buy more lights, and then eventually a nicer lens if you want

I have a job at Google now

While I was looking for a job I feel like I had a good chance at several types of companies; both startups and FAANGs viewed my independent time as a positive.

I was an employee, then did my own thing for 6 years, then recently went and got a job again.

I felt no push-back at all for doing my own thing; in fact, I think it was a positive for most people.

If it was only 6 months instead of 6 years then maybe that would have made a difference (?), but generally I've found that people saw it as a positive sign that I was able to be self directed, work in ambiguous circumstances, etc.

Also as pointed out elsewhere here, the ease of getting a job is often a lot more about your network and who you know rather than your exact experience.

Good luck!

I bought a System76 desktop a couple of years ago with an rtx 3090 for some AI work and have been super happy with it.

It was a bit expensive, but everything "just works", it's super well built, and I've had no issues for 2 years. They definitely know what they're doing

(not affiliated, I just like it)

Worth noting that the expensive price isn't because of the metadata feature - it's a new version of the Leica M11 which is $8995 itself (Leicas are just crazy expensive)

Instead of a part time job, call yourself a "consultant" and say you have "1/2 of your time available". Companies are generally more likely to bring in a consultant/freelancer 1/2 time than an employee.

(Make sure you charge enough though - being a consultant means you'll have costs you're not used to as an employee, like insurance and self employment tax).

I did the same thing several years ago (left my job once I had 2 clients). I was also worried, but it turned out just fine. It's true that it will take a bit of work to get clients, but it becomes easier and easier as you go. Your current clients may know others, etc.

I have two big pieces of advice:

1. What other comments here say about money and runway is definitely true. It can be common to go a bit without clients - and even once you find a new one it might take 30 days for the project to start, then maybe you bill after the first 30 days, then it takes them 30 days to pay - that's 3 months from the time you found them to when you get the first money coming in! So make sure you account for that.

2. Have something you can point to which says "this is what I do, and why I'm good at it". In my case it was an ebook, but it could be a white paper, or sample projects, etc - but you need something that "tells a story" to the clients that you can do the job.

And good luck! It's scary to take the jump, but also very rewarding :)

"Real World AI" by Alyssa Simpson Rochwerger and Wilson Pang is the best book I've read on AI for people in leadership positions - it gets just enough in the weeds to really explain what's going on while still staying high level enough to address things that managers/executives would want to know. It also has several real world case studies that show both the promise and the risk of AI