## Thursday, December 17, 2020

### Gaia’s stellar motion for the next 1.6 million years

https://www.cosmos.esa.int/web/gaia/edr3-startrails

The stars are constantly moving across the sky. Known as proper motion, this motion is imperceptible to the unaided eye but is being measured with increasing precision by Gaia. This animation shows the proper motions of 40 000 stars, all located within 100 parsecs (326 light years) of the Solar System. The animation begins with the stars in their current positions; the brightness of each dot representing the brightness of the star it represents.

As the animation begins, the trails grow, showing how the stars will change position over the next 80,000 years. Short trails indicate that the star is moving more slowly across the sky, whereas long trails indicate faster motion. To avoid the animation becoming too difficult to interpret, the oldest parts of the trails are erased to only show the newer parts of the stellar motions into the future.

Sometimes it appears as if a star is accelerating (as indicated by a longer trail). This is due to the star getting closer to us. Proper motion is a measure of angular velocity, which means that close-by stars appear to move more quicker across the sky even when their speed is the same as that of other, more distant stars.

Towards the end of the animation, the stars appear to congregate on the right side of the image, leaving the left side emptier. This is an artefact and is caused by the average motion of the Solar System with respect to the surrounding stars.

The animation ends by showing star trails for 400 thousand years into the future.

## Saturday, December 12, 2020

### Cameras and Lenses

https://ciechanow.ski/cameras-and-lenses/

Over the course of this article we’ll build a simple camera from first principles. Our first steps will be very modest – we’ll simply try to take any picture. To do that we need to have a sensor capable of detecting and measuring light that shines onto it.

## Saturday, December 5, 2020

https://labzilla.io/blog/force-dns-pihole

Smart devices manufacturers often “hard-code” in a public DNS server, like Google’s 8.8.8.8, and their devices ignore whatever DNS server is assigned by your router - such as your PiHole.

Nearly 70% of smart TVs and 46% of game consoles were found to contain hardcoded DNS settings - allowing them to simply ignore your local network’s DNS server entirely. On average, Smart TVs generate an average of 60 megabytes of outgoing Internet traffic per day, all the while bypassing tools like PiHole.

## Thursday, December 3, 2020

### AI Generated Music

We started with the original SampleRNN research code in theano. It's a hierarchical LSTM network. LSTMs can be trained to generate sequences. Sequences of whatever. Could be text. Could be weather. We train it on the raw acoustic waveforms of metal albums. As it listens, it tries to guess the next fraction of a millisecond. It plays this game millions of times over a few days. After training, we ask it to come up with its own music, similar to how a weather forecast machine can be asked to invent centuries of seemingly plausible weather patterns.

It hallucinates 10 hours of music this way. That's way too much. So we built another tool to explore and curate it. We find the bits we like and arrange them into an album for human consumption.

It's a challenge to train nets. There's all these hyperparameters to try. How big is it? What's the learning rate? How many tiers of the hierarchy? Which gradient descent optimizer? How does it sample from the distribution? If you get it wrong, it sounds like white noise, silence, or barely anything. It's like brewing beer. How much yeast? How much sugar? You set the parameters early on, and you don't know if it's going to taste good until way later.

We trained 100s of nets until we found good hyperparameters and we published it for the world to use.

## Monday, November 30, 2020

### DeepMind Solved Protein Folding

https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology

We have been stuck on this one problem – how do proteins fold up – for nearly 50 years. To see DeepMind produce a solution for this, having worked personally on this problem for so long and after so many stops and starts, wondering if we’d ever get there, is a very special moment.

You're welcome

## Thursday, October 8, 2020

### Reverse engineering my cable modem and turning it into an SDR

https://stdw.github.io/cm-sdr/

This is the type of nerdy hacking that makes me jealous.

After removing a few screws from the plastic housing to get access to the board, my first thought was to look for UART headers to take a peek at the serial console. After identifying two candidates consisting of four vias surrounded by a rectangle near the edge of the PCB, it was time to identify the pins. Using a multimeter, the ground pin can be easily identified by checking the continuity with one of the metal shields on board. The VCC pin can be identified by measuring the voltage of each pin when powering on the board. It should be a steady 3.3v, or in some cases 1.8v or 5v. This pin is not needed, but is still useful to identify the operating voltage and eliminate one candidate for the Tx and Rx pins. While booting, the Tx pin will sit on average a little lower than the VCC pin and drop much lower when a lot of data is being output. This leaves the last pin as Rx.

## Tuesday, October 6, 2020

### The economics of vending machines

https://thehustle.co/the-economics-of-vending-machines/

It is estimated that roughly ⅓ of the world’s ~15m vending machines are located in the US.

Of these 5m US-based vending machines, ~2m are currently in operation, collectively bringing in $7.4B in annual revenue for those who own them. This means that the average American adult spends ~$35 per year on vending machine items.

What makes the vending industry truly unique is its stratification: The landscape is composed of thousands of small-time independent operators — and no single entity owns >5% of the market.

## Thursday, October 1, 2020

### Test if your email is letting the sender know when you view an email

There are a ton of ways companies can track if you view an email.  This site tests which of these methods work even if you are blocking images for example:

https://www.emailprivacytester.com/

You have to click the link in the first email, then click "test this email" for a second email that actually runs the test by the way.  I was confused at first why it wasn't doing anything.

## Wednesday, August 26, 2020

### Walk with me though the hilariously inconsistent on-screen titles of Star Trek's two-part episodes.

I couldn't resist the pedantry of this post.

"The Best of Both Worlds"
"The Best of Both Worlds" Part II
Okay, here we go. This is TNG's first actual two-parter. Note now the "Part II" is placed outside the quotes, adopting the style from TOS before it. The difference, other than dropping the "Part I" from part one, is that we’re not using ALL CAPS anymore, so we learn that “Part” is meant to be rendered in title case, with the “P” capitalized. A boring fact that you'll soon learn is the only constant in the universe.

"Redemption"
"Redemption II"
Okay, another season-ending cliffhanger resolved! But... now we're just naming them like heavy metal albums, I guess. The only actual established rule for TNG so far is that "part one" does not get a roman numeral…

## Thursday, July 9, 2020

### A Graphical Analysis of Women's Tops Sold on Goodwill's Website

I set up a script that collected information on listings for more than four million women's shirts for sale through Goodwill's website, going back to mid-2014. The information is deeply flawed—a Goodwill online auction is very different from a Goodwill store—but we can get an idea of how thrift store offerings have changed through the years. There's more info on data collection method below.

## Wednesday, July 1, 2020

### Using AWS S3 Glacier Deep Archive For Personal Backups

I've been using AWS S3 for personal backups, and it's working well.  The hardest part of doing anything in AWS is that you have no idea what it will cost until you actually do it; they are masters of nickle and dime charging.  With that in mind, I wanted to wait until I had a few months of solid data before reporting on how it's been working for me.

If you know me, this may surprise you, but my backup strategy is a bit complex.  However, the relevant part for this post is that my documents folder is about 16 GB and I'm keeping a full backup of that, with daily diffs, for about $0.02 a month. Costs I did a post estimating the costs last year, and the result has lined up with that. Here is the relevant part of my AWS bill for May 2020 (June looks to be the same, but isn't complete yet): There are also some regular S3 line items, since I believe the file list is stored there even when the files are in Deep Archive. However, I'm far below the cost thresholds there. Process I have a local documents folder on my SSD, that gets backed up to a network version nightly via an rsync script. Folders that are no longer being updated (eg, my school folder) I will delete from my local version and just keep on the network version. Every month I create a full zip of my local documents folder and upload to S3. Then every day I create a zip of just the files that have changed in the last 40 days. I chose 40 days to to provide some overlap. You could be more clever and just get files that changed since the first of the month, but I wanted to keep the process simple due to how important it is. I also do a yearly backup of the full network version of this folder, which has a lot of stuff that hasn't changed in years in it. The result is that I could do a full recovery by pulling the most recent monthly backup and then the most recent daily backup, and replacing the files in the monthly with the newer versions from the daily. I'd also have to pull the most recent yearly, and extract that to a separate location. This feels like a pretty simple recovery, all things considered. Scripts The full backup: And the diff backup: If you want to adapt these scripts it should be pretty straightforward. You'll have to have 7zip installed and have the command line aws client set up. Create a nice long random password and store it in the password file. Make sure you have a system for retrieving that password if you lose everything. There's a feature to warn if the compressed file is larger than expected, since that will cost money. The numbers are arbitrary, and work for me, you'd have to adjust them. Also if you want to get the emailed warnings you'll have to set up mail and change the email address. If you do want to use S3 Deep Archive for backups I really recommend reading my previous post, because there are a lot of caveats. I highly encourage you to combine your files into a single file, because that will reduce the per file costs dramatically. Also, note there is nothing here to delete these backups. If all you care about is being able to restore the current version, then you can delete any but the newest version. Keeping them all gives you the ability to restore at any point in time. If you do delete them, keep in mind there is a limit to how fast you can delete things on Deep Archive. Epilogue I realize there are easier, free-er, and arguable better solutions out there for personal backups. That's it, I don't have a 'but,'. If you're reading this blog, this should not be a surprise. Now that I have real data, I'm thinking about backing up some of my harder to find media here too. I estimate 1 TB should cost about$12 per year in any of the cheapest regions.

## Saturday, April 4, 2020

An idea I've had for a while is a password generator where you take a master password, an optional per site password, and the site domain name, combine and hash them to get a unique password for any site.

This system has a unique benefit over traditional password managers in that you can't lose your passwords.  Even if all your electronics were destroyed and you woke up naked in China tomorrow you could get your passwords just by using an online version of the tool (or failing that, manually doing the steps yourself with a hash generator).

However, the system has a unique drawback of not remembering what the password requirements are.  Some sites require special characters, some don't allow them, some require more than 10 characters, some allow for a max of 8.  It would be easy to translate your hash into whatever set of requirements you have, but you still need to either remember that, or store it somewhere else.

Today I discovered this idea has been implemented, a lot.  It's called a stateless password manager, or a deterministic password manager.  Two examples are:

https://lesspass.com/#/

And here is an article discussing the flaws in this system:

## Tuesday, March 24, 2020

### Social Distancing Scoreboard

According to the World Health Organization and the CDC, social distancing is currently the most effective way to slow the spread of COVID-19. We created this interactive Scoreboard, updated daily, to empower organizations to measure and understand the efficacy of social distancing initiatives at the local level.

https://www.unacast.com/covid19/social-distancing-scoreboard

## Sunday, March 15, 2020

### How do they actually work?

Instead of transmitting a counter, just send an alternating pulse.  It doesn't have to be very fast, a MHz would be enough.  Then your reflected pulse is the same wave, but delayed slightly.  You only care about measuring the difference in time of the leading and falling edges of the two waves, or delta.  This means you can just compare the two waves using an XOR gate, which is just a fancy way of saying "tell me whenever these waves are different".

Here's an example

Where the top red line is the original signal, and the second blue line is the reflected version.  Then the third green line is the XORed delta of the two.

When you measure something slightly further away the reflected wave gets more delayed and the delta version gets a longer pulse.

### Are logic gates fast enough?

Logic gates like these are cheaper and faster than the circuitry you'd need for a timer.  However, they still aren't quite fast enough for the precision we see in these tools.  Luckily though, a delay doesn't really impact the measurement.  As long as it's a consistent delay on both the rising and falling edges of the two waves.

All you end up with is a slightly offset delta signal.

### Who will measure the measurer?

It might seem like we're back to square one here, with the need to precisely measure the time of that pulse, but we actually just need take the average of that signal.  There are a variety of ways we can do this, but as a proof of concept, imagine the delta signal is charging a capacitor, which is simultaneously being drained by a constant resistor.  You'd end up with a level of charge in the capacitor which would translate into what percentage of time the delta single is high.

Now, all you have to do is measure the charge in the capacitor and turn that into a measurement you display.  Let's review what we need:
• Laser transmitter and optical sensor.
• MHz clock to turn laser on and off.
• XOR circuit to compare the two transmitted and received signals.
• A capacitor and resistor circuit to find average of the digital signal.
• A way to measure the charge in the capacitor.
• Something to take that measurement and convert it into the distance.
• A display.
None of this is very expensive.  I'm pretty amazed they can combine them for less than \$30, but at that point, you'd be losing money not to buy one.

## Saturday, February 29, 2020

### Guessing Smart Phone PINs by Monitoring the Accelerometer

https://www.schneier.com/blog/archives/2013/02/guessing_smart.html
In controlled settings, our prediction model can on average classify the PIN entered 43% of the time and pattern 73% of the time within 5 attempts when selecting from a test set of 50 PINs and 50 patterns. In uncontrolled settings, while users are walking, our model can still classify 20% of the PINs and 40% of the patterns within 5 attempts.