I started using an app called Intent -- it seems to support a lot of these features. I've been very impressed with it.

I'm so glad I can see this again. I forgot how much I missed this.

For AI/ML related patents, I’m not sure innovation is stifled insofar as people mostly don’t pay attention to them.

Most of the techniques that _every_ company is using are patented, but no one seems to notice.

Admittedly I’m sure there are cases where it did stifle innovation in this space, but I think on average perhaps not.

It’s interesting to see the comments on eink patents — I was never aware of how much it stifled innovation in that space!

> It’s interesting to see the comments on eink patents — I was never aware of how much it stifled innovation in that space!

I'm really curious which comment that people are referring to because I happen to work in the display industry. I'd never heard anything like that amongst my peers or during conferences. The main place I've seen this refrain is on HN. Please have a look at my comment history as I keep asking about which patent people are talking about. I'm still trying to figure out if the issue is real.

I’m sorry to hear that you’re feeling like an outcast.

First, I want you to know these feelings are reasonable and you’re not alone in feeling that way.

Second, while it may seem hopeless or insurmountable, you can make changes.

You have an opportunity now in front of you. You have identified an area in life where you feel inadequate. But you don’t have to feel that way permanently. You can make changes to build up your experience in that area. And I totally understand that it feels hard to know where to start, how to make progress, or whether it’s possible. It can feel demoralizing. But if you’re up for the challenge, you can grow.

I have often felt this way and I’ve slowly improved over time — now I’m 28 and have done a number of things I saw everyone else doing when I was 22 feeling like I had already thrown away my life.

If you’re open to chatting about it and think it would be helpful, shoot me an email: skylar.b.payne (at) gmail.com.

Wishing you peace

If the company is not “remote first,” I think there’s a reasonable argument that your value is not location independent.

That being said, I can’t really think of a good argument for anything beyond pay based on in-office vs remote.

+1. I generally say that data scientists bring an amazing skillet to the table, but companies can only leverage 10% of it.

In my experience (mostly large tech cos), getting anyone to pay attention to your design doc/RFC (regardless of quality or length) was fairly difficult.

Its been a consistent complaint of many engineers at every company I’ve worked at.

I often see comparisons of traditional software engineering vs machine learning like this where the former is a linear sequence of stages without cycles and the latter is some kind of tight iterative loop.

But my work in both building backend services and building machine learning models has always looked like how the author describes machine learning models.

In my experience the "process" generally isn't that different; but the cycle times are long enough for machine learning that it can feel different.

Instead of fitting the product to the market, he tried fitting the market to the product

I think this is closer, but perhaps needs a slight change. I don't think it's out of spite; it's not like people are taking _more_ risk AFAICT. So maybe something like:

"there's a wildfire and firefighters asked you to limit water use to only drinking water, but some people decided to keep taking long showers, washing dishes, etc"