Crypto mining strategy

Contemplating what strategy I should use for the funds I am earning from mining. Currently I’ve been converting the BTC earned into $$ to pay off the debt incurred by buying GPUs for mining. But is that best strategy?

One of two things will happen: mining profitability will gradually fall to values where electricity cost overtakes profits, or mining profitability will continue indefinitely (or at least for the long term).

If all BTC earnings are kept as BTC, and the price tanks, then all earnings are worthless.

If all BTC earnings are converted to $$ right away,  then you are not capturing on the increase of BTC in value. We’re already quite high in value. In the short term I don’t think the BTC value will sky-rocket to double what it is today. That is very unlikely. Perhaps in the long run, but likely not in months.
As with any business, priority one is to pay off the initial investment. In my case since the GPUs still have value, I’ll place a value of 40-50% on them on the used market, since if it comes to selling them off, the market will be flooded with GPUs.

In the short term converting the BTC to $$ will protect against large losses. It’s much easier to imagine the BTC price fall dramatically (by 5-10 times) then doubling again in the next few months. A price doubling would bring a gain of 2 times. If the price drops by 5-10 times, then that’s a much harder hit to my $$ wallet.


My strategy for the short term is to convert all mining earnings to $$ at the highest exchange possible, to protect myself against the potential loss.

Mindfulness and expectations

I just read a very enlightening thing today. Actually this is the second time I’m going through Alan Watt’s book “The book on the taboo against knowing who you are”.

The concept of ‘being present’ and ‘living in the moment’ has been preached by many schools of thought and I’ve been exposed to them for many years now. Another way of looking at the living in the moment idea is that one should limit expectations of future events.
However no explanation has been totally satisfactory to me as to convince me through and through to limit how much I over-think the future. Nothing I’ve come across have had a lasting impact.

Living in the moment

Alan makes an interesting point in his book regarding how in order to understand any one thing (be it organism or inanimate matter) one not only needs to understand the item itself, but also the environment in which it exists. To only understand the items is only seeing half the picture.

I spend a lot of time in my head. I know that, which is why I’ve been working for so many years to be more present, and manage expectations. But as you know, this is easier said then done.

The connection I made this morning was that it’s pointless to think about how certain future events may unfold, and/or have expectation of how things will turn out. Reason being that even though we may understand (or think we understand based on prior past events) how a certain item functions or how a person behaves, the context of the moment (the environment and everything else that’s taking place in that time) will shape the way the item or person behaves, in unimaginable ways.

This realization is quite comforting to me. It’s comforting because it gives me a reason to not over-think the future

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Connecting phone to Vuze Camera

I had some trouble connecting my Android phone to the new Vuze Camera from HumanEyes. I contacted their support department, and they offered some help, but to follow their instructions to connect I would have to reset the WiFi settings every time.

The problem I was having is that even though I would connect my device to the WiFi network that the Vuze Camera created, the software would not be able to connect to display the live feed and access the settings.

After playing around some more with the camera, I figured out what’s going on.

The software on your device connects through WiFi to the camera. The software likely tries to connect to some preset IP address of the camera. If the device you have doesn’t have a cellular connection, this method of connection works every time with no hassles.

However if you’re connecting from a phone that already has a cellular network connection, things change. When my phone connects to the Vuze network, it informs me that the Vuze network has no internet access, and proceeds to use the cellular network for continued internet access. Because of this, one of two things is likely happening:

1.  The IP address the Vuze software on the phone is trying to access likely gets directed out to the internet… making the Vuze inaccessible to the phone.
2. The subnet that the cellular network DHCP service is supplying the phone makes the Vuse camera IP address not addressable from the phone’s IP address.

So in order to always be able to connect to the Vuze camera from my phone, I have to:

1. Put the phone in Airplane Mode

2. Enable ONLY Wi-Fi on the phone, and connect to the Vuze network.

Vuze software will now reliably connect to the camera every time. I would like to still have cell network connection while connected to the Vuze camera, but I don’t know if this is something that can be fixed in software.

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Vuze Camera RAW resolution

Spherical video is tricky. The process of stitching together multiple images to create a equirectangular projection image doesn’t give you an exact image resolution. So what resolution should I be outputing my video to? Too low a resolution and you’re loosing detail. Too high a rendered resolution and you’re wasting bandwidth as no more details are created when an images is scaled up.

In using the new Vuze Camera from HumanEyes, I wanted to figure out what the ideal rendered output should be to maximize image quality and minimize file size waste. It’s easy to output to 4096 x 4096 px and be done with it, but that resolution of is not easily playable by most devices today, and it may be a waste of bandwidth.

So the goal is to get a ballpark idea of what the final rendered resolution should be based on the data recorded by each sensor, in order to retain as much detail as possible from the raw footage to the youtube file as possible, in order so the viewing experience is as sharp as possible when viewed in 3D 360º, without wasting extra file size.

The resolution I came up with is 3200 x 2880 pixels. Read on to find out how I came to that conclusion.

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