Also, what we do is abstract. These guys come from quantitative trading backgrounds, high frequency. We’re applying all these novel approaches to cryptocurrency so that when we recruit here or do branding here, it’s hard for people to understand what we actually do. That’s another avenue that you’re going down with Tyler, right?

Legitimacy. Trust.

For startups. Usually, Taiwanese culture, at least on the parent generation is more conservative. We’ve had issues when we’re hiring. Then the parents step in and say, “Oh, this is a startup, don’t go there. It’s very risky.”

Five years?

The reputation for us is starting to shift because we’re in year three. The past couple of years, it would be common for a lot of the other startups, they are facing the same issues.

More and more so?

If you can’t explain that well, then sometimes people think well, maybe it’s a fraudulent company. Maybe it’s a scam. It’s difficult at times.

What’s your advice for cryptocurrency companies or companies like ours, in terms of trying to advance cryptocurrency awareness and legitimacy, particularly within Taiwan?

That’s the reason for assistance.

As a company, we’ve tried to be a lot more transparent and open than other companies, especially on the trading side, something that we want to do. Even when we started the company, a lot of companies that do trading activities tend to be very close and tend to be regarded but we’ve tried to be more open about it.

This is actually caused us some difficulties as well because it can be difficult to do, for instance, a lot of machine learning algorithms and work with a lot of proprietary technologies and also try to be open even within your company because there are competitors that will try to take your intellectual property.

I know that you’re a big proponent of openness and I saw on your Twitter, you even have a poem that talks about machine learning…

…and collaborative learning. So what’s your…

I’m actually curious about your thoughts about how that thinking plays into intellectual property and specifically trade secrets and that type of those contexts.

Yeah.

That’s something we should get involved in.

Carnegie Mellon.

[laughs]

TTA.

OK.

I see. OK.

Not transparent.

Do a better job.

Yes, it’s a very good point.

Thank you.