WildParser

https://www.omniglot.com/conscripts/engul.htm

Are you an Engul user? Syllabic scripts for English are rare. Usually people use letters.

Well, I haven't made that up myself - I got the idea from linguistics books - and from people that lived there for a long time. And those linguists were very clear that the language came first and then syllable script was bolted on.

When learning a bit of Japanese to me it was quite obvious that the script was most likely intentionally left (or made) complicated. By using a normal alphabet that actually fits to the structure of Japanese language it would be just another ordinary language to learn.

Using a syllables-script for an ending grammar just doesn't make sense. Using 2 syllable scripts is just strange.

It most likely helped the leaders there to stay in control. Without native Japanese translators foreigners are unable to get very far.

Yes it does. In some distributions receiving calls was a problem (they slept too deep and woke up too slow).

With Mobian for me it now works stable enough to be used as a daily driver.

Well, it works fine as a phone. With Mobian it is stable enough for me to be a daily driver.

When I need performance I usually turn to real computers or specialized gadgets.

I'm on Windows. Other OS may differ. I experimented a lot with load times - and compared HDD, SSD, RAM-Disk.

I wrote a small program that loads everything from a big code-repository into RAM. The first time HDD and SSD and RAM-Disk make a big difference, when reading files a second time the lag of HDD (50s?) almost disappeared completely. Caching kicked in.

The RAM-Disk has less initial lag, but also it has to be filled first, so instead of moving everything to RAM-Disk just touching everything so the OS-Caching kicks in is just faster and more convenient.

Improvements in build-time are very valuable to me. But I'm not sure if a cloud would help me much. Synching can easily eat up 10s. Also my tools are very unique (including a parser that I wrote myself).

To be faster than local a cloud would have to be massively overclocked - and I can already reach good results locally.

For actual improvements I need a massive improvement in compiler technology (last time I looked there were just too many single-threaded bottlenecks in my build process). Nothing a cloud can solve for me.

Security is one issue - but hackers will most likely only get confused when they try to understand what is going on - also costs I usually don't like...

I recently experimented with a ram disk. Practically it didn't change anything.

OS-caching seems to already be clever enough and once the OS has figured out that some directories are important anything in there seemed to get done in RAM anyway.

A RAM-disk will make this less black box and more deterministic regarding guaranteed access times, but in daily use the RAM-disk just didn't make a difference.

Great news... Compile time or a clean build? I use similar tooling (older version... :-)). And I'm starting to evaluate what's going on with those new versions.

Comparing compile times is done rarely. I sometimes tried to google some comparisons, but didn't find much.

For a typical 1,5 MLOC project my clean build times are sitting around 40 seconds.

I think that's pretty good, but I don't think I have a way to improve it much. Without writing a compiler from scratch I think 10 seconds are out of reach for me...

I don't know about China, but the whole science around COVID seems to have a really strong cultural component that before was totally unfamiliar to me.

When looking at some German Epidemiologist blog I found something like: "Next thing on the list is to proof that government measures worked"

I would have expected something like: "I'm looking at data - and want to find out what helps"

That keyboard was fantastic. I hope the PinePhone Keyboard will be able to reach this level.

I once took one of these online-tests for spotting deep fakes. By marking anything that has reflections in the eyes as fake I got only 1 answer wrong (the real guy there looked really strange).

And still nobody bothered to check what kind of trend-changes are visible in the epidemiological curves around the time of masking.

People never look at "date of death" or "infection date" all they care about is "reporting date" - and every newspaper out there will show you the effects of government measures on "reporting".

I use Mobian on the Pinephone as a daily driver. Other distributions I tried were not stable.

I don't really know what those people in physics do, but as a mathematician my definition of a time-crystal would be a 4-dimensional discrete structure. You have some 4-dimensional symmetries.

Just rotating in 3D is a bit boring. Interesting symmetries would be where you get the time-axis involved.

4D is most likely a bit boring - having more dimensions and more time-dimensions helps greatly to get more symmetries to work with...

I'm not very optimistic about avoiding a "Dark Age".

Rational thinking and the idea to look at data seems to be completely foreign to most people I know. Higher educated people seem to absorb and repeat dogmas and propaganda unfiltered even faster.

Some patterns I have come across:

Alpha-Rational: Claiming that ideas that come from authority (dogma) or self (narcissism) are rational - rejecting to look at any data.

Anti-Rational: Reject the idea to look at data "life is uncertain", "data is garbage", "it's immoral to look at data" - although there is a lot of good data and drawing conclusions is not even difficult.

Malicious rational: Know your science and cherry-pick data for profit to support the highest bidder.

1:1 is also nice. https://www.eizo.com/products/flexscan/ev2730q/

A few patterns about rationality I have seen a lot recently:

False rationality - People claim to be rational while touting some dogma they learned somewhere. Not even looking at any data. And when given data or counter-examples they just ignore it.

Anti-Rational - People claim that life is uncertain and data is garbage - while in fact there is a lot of good data available - and drawing conclusions is not even difficult.

I don't think the problem is with rationality. It feels more like rationality is going down because psychological pathologies (narcissm, cargo-cults, dogmas) are taking over.

I liked the Celestron Nexstar 6SE. Weight still ok and not too small. Something to tinker with a bit and quite easy to use.

Good that people sometimes remember that a more modern base for physics would be nice.

Doing electrodynamics without using alternating products and differential forms feels so wrong...

Problem is - by removing sane people the thing will become even more insane... And most people there are unable to notice - they form democratic majority - nowadays things can accelerate downhill very fast.

Even more disturbing is that people outright refuse to take a look at numbers to check what measures actually did.

Just mentioning datasources and asking people to look can attract a lot of downvotes. People just suppose the data might point into a direction they don't accept - nobody looks at the data.

The number of of actively infected non-quarantined people is relevant. Take a look at RKI-dashboard for Jena. This Jena paper is a serious fake.

I think mask measures are not working correctly - all the masks are way too dirty - effects are most likely going in the wrong direction.

Getting good data to evaluate measures currently isn't easy. Some curves using "reporting date" look seriously different than curves using "date of death".

NRW is a big region of Germany and still has some good data. The RKI numbers and date of death numbers fit, RKI is lagging only a few days. https://www.lzg.nrw.de/inf_schutz/corona_meldelage/index.htm... https://de.wikipedia.org/wiki/COVID-19-Pandemie_in_Deutschla...

If you look at death 7-day averages NRW has an awful bend upwards - exactly where the new effects of masking/lockdowns should be.

Positive trend-changes of the first mask mandate are non-existent - there's only a small move in the wrong direction (date of death 26.Mai).

Take a look at the data from RKI dashboard for Jena. The number of actively infectious people in April that were not already quarantined is pathetic.

https://experience.arcgis.com/experience/478220a4c454480e823...

Very well written. I always preferred mathematics to chess, because the competitive aspect of chess always seemed to hinder collaboration.

Seeing the same lack of collaboration in university was really disappointing. Friendly people listened passively, less friendly people liked to listen and contradict. The willingness to actually share knowledge seemed to be almost non-existent.

I haven't solved the puzzle yet why sharing knowledge is so hard. Some people don't have knowledge to share, some want to keep an advantage, and the barbaric instincts to reject unfamiliar ideas tramples the remaining few sparks.

Noticing my own barbaric instincts in action was enlightening.

Do lockdowns help? A lot of countries with hard lockdowns had really bad curves. A slow fire maybe sometimes burns better. A place where everybody gets infected can maybe be more dangerous for visitors when you increase the time the infection is going on?!

Do masks help? Do they reduce immunity by eliminating some light contacts? Do they allow to transfer the virus without being infected? For sure you wouldn't like to have doctors (treating e.g. Ebola patients) go shopping and exhaling through their contaminated masks.

Is there any epidemiological evidence that masks helped? Data using "reporting date" often shows trend changes around mask measures. Taking a look at "date of death" data those trend changes usually are gone. Why is so little "date of death" data available?

Is it seasonal because of natural yearly weather seasons, or is it because of the growth dynamics?!

Most curves look a lot like an explosion that burns out locally too fast to sustain a continuous fire. This could lead to some kind of seasonal dynamics without external factors.

One exception is maybe Argentina. Since the beginning it was more like a continuous burning fire - until they stopped. What did they do?

Also getting your hand at good data isn't so easy nowadays. E.g. reporting date can be very different from actual date of death. My area once lagged 3 months.

Interesting to read about a peak at the start of November. Some regions of Germany where data for "date of death" is available also show a peak slightly before 1.Nov.

Some regions seem to have a constant lag for reporting. For others the curves using "reporting date" seem to be completely detached from the "date of death" data.