This quote from Terry Pratchett is so head on, it still hurts reading it again decades later. The thing that I really loved Terry for was ability to observe things and capture them in words. He could see how humans really were and still love humanity. I miss him.
Bad news: This is because we will not get new boards
I got the following news from the supply chain:
All (and I mean ALL) of our PCB subcontractors have turned around and told us minimum 1 year lead time on boards now. Apparently there's no Helium or Neon so they cant make FR4
FR4 is what all boards is made from.
So who cares if you cant get RAM - there's no PCBs to put it on ...
UPDATE: I don't think helium is the problem but PE Resind (polyphenylene ether). Neon may be a problem because it is required for the UV lasers.
This is a golden rule I started about 20 years ago. Today I have about 700 email addresses in use. The Password Manager keeps track, which Email address is used for which service.
This has several advantages:
An attacker has no idea which email address I use for a certain service: this makes attacking my accounts a lot more painful
I can very easily sort incoming email associated with those services
It becomes more difficult to track me
Lately more and more services do no longer allow me to create an account with an email address I designate.
Instead authentication is delegated to a third party (e.g. Discord, Paypal) and the email address associated with that service is used.
Such a service will never receive any money from me.
What a lot of people do not understand is the fragility of supply chains.
Setup
Let us assume there is a part X that is used by a large number of other companies. It is not glamorous, it is not expensive, and nobody outside a small circle of specialists ever thinks about it. But it is needed. Without it, other products cannot be finished.
Everything is fine
Part X is made by a small company with a few dozen employees and a machine that is several decades old.
Everything runs smoothly. The company knows how to maintain the machine. They know how to operate it. They know its strange noises, its moods, its undocumented rituals. They know which lever needs a bit of persuasion on cold mornings and which replacement part must be machined by hand because nobody has made the original since 1987. They also know how to train new employees, because the knowledge still exists inside the company.
Crisis
Then, suddenly, a few large customers run into a crisis.
Orders slow down. The warehouses fill up with part X. Prices fall.
The company downsizes. Then it downsizes again. But nobody really notices, because stocks are still full. Customers are not yet affected. Purchasing departments can still get part X from inventory. Balance sheets still look fine. The problem has not yet reached the spreadsheet.
If this goes on for long enough, the company goes broke.
Again, nobody really notices. Stocks are still full. Some people may worry, but as long as no current production line is stopping and no quarterly number is visibly bleeding, nothing urgent is done.
The employees move on. They retire, change industries, start new careers. The old machine is sold for scrap. The building is repurposed. The knowledge evaporates.
Recovery
A few years later, demand picks up again.
The warehouses slowly empty. Stocks run low. People start ordering part X again, only to discover that nobody is offering it anymore.
Now someone decides to restart production.
The first thing they discover is that there is no machine. Building a new one would be prohibitively expensive, assuming anyone still knows how to build it properly. So they desperately search for an old one.
They get lucky. In a scrapyard, they find a machine that used to produce part X. It is rusted, incomplete, and dysfunctional. Naturally, they buy it.
Now they try to get it working again.
But there is another problem. There are no people left who know how to maintain it. So they hire someone who understands industrial maintenance in general, but has never worked on this specific machine. That person does their best. They improvise. They read old manuals. They reverse-engineer undocumented fixes. They keep the machine alive with skill, patience, and increasing amounts of despair.
But it breaks down every few hours. Output is abysmal.
Bottlenecks
And now that one poor maintenance person is overworked. They need help. But training help requires time, and the only person who can train others is the same person needed to keep the machine barely running. Every hour spent teaching is an hour not spent preventing the next failure.
Very few businesses survive this phase.
There is no institutional knowledge anymore. New people are hired, begin training, look at the state of the machine, the chaos of the process, and the constant emergency mode, and conclude that the business is doomed anyway. Then they quit.
Churn becomes terrible. Even if the company survives financially, it remains fragile. It is always just one or two people quitting away from disaster.
At the end the world decides it needs to get rid of part X as the supply is too fragile.
Summary
This is still very much simplified. The reality is more complex, more ugly.
And that is the part many people miss: a supply chain is not just warehouses, contracts, prices, and transport routes. It is also people, habits, obsolete machines, informal knowledge, and boring little skills that nobody values until they are gone.
Within recent memory, people who made software and hardware understood their job was to serve their customer. [...] But at some point following the financial crisis, would-be entrepreneurs got it into their heads that their job was to invent the future, and consumers’ job was to go along with that invented future.
The discussion around AI is not the first instance of this pattern, but it is where this mindset is taken to its most extreme form.
Firma so: Der blöde Kunde will unser schönes Portal nicht nutzen, mit dem wir das alles für ihn digital gemacht haben. Warum ist das so?
Der Kunde seufzt leise und legt los:
Das Portal ist darauf optimiert worden, es für die Firma so einfach wie möglich zu machen. Die Interessen des Kunden wurden überhaupt nicht berücksichtigt.
Beispiel 1: Die Authentisierung erfolgt nach veralteten, unsicheren Verfahren. Am besten soll man sich pro abgerufenem Dokument (auch mehrere am Stück) jedes Mal mit einer SMS authentisieren. SMS ist ja so modern und sicher ...
Beispiel 2: Bei der Authentisierung gibt es keine Kunden-Autonomie. Das Verfahren wird von der Firma vorgegeben. Passkeys oder Authenticator werden nicht unterstützt. Das ich im Keller kein SMS-Empfang habe, ist denen egal.
Beispiel 3: Ich bekomme eine Email: ein Dokument wurde für Sie hochgeladen. Das Dokument wird nicht gesendet. Optionen einen Zertifikat oder PGP-Key hochzuladen, sucht man vergebens.
Beispiel 4: Alles ist automatisch für die Firma, nichts ist automatisierbar für den Kunden. Es gibt keine API, alles muss von Hand geclickt werden. Ich mache alles digital in Paperless. Eure Systeme sollen soweit automatisierbar sein, dass ich die dort erscheinen lassen kann. Die blöde Email könnt Ihr zur Sicherheit dennoch schicken.
Beispiel 5: Das UI-Design beruht auf einem Interface-Guide den man 1974 bei IBM in einer Altpapier-Tonne gefunden hat. Der war das Ergebnis eines internen Wettbewerbes "Wie kann man möglichst viele Clicks erzeugen".
Beispiel 6: Meldet man sich mit seinen Anliegen, dann heisst es "Der Datenschutz will das so." Ich weiß genau, dass das gelogen ist.
Beispiel 7: Liest man sich Bedingungen durch, dann entdeckt man, dass alles zum Nachteil des Kunden formuliert ist. So wird das gesamte Zustell-Risiko an ihn übertragen.
Beispiel 8: Jeder Login wird benutzt um dem Kunden weitere Leistungen aufschwatzen zu wollen. Das der Kunde ein Dokument abrufen will, ist der Firma egal.
Ich habe in Deutschland noch kein Kundenportal gesehen, dass man nicht als Strafe für meine zahlreichen Sünden betrachten kann.
Ich bin sicher, ich habe noch Dutzende Punkte vergessen.
P.S. Mache gerade wieder Papierkram und meine Krankenversicherung bittet darum deren Portal zu nutzen. Ich habe es probiert. Die hatte mehr als 3/4 der obigen Punkte getroffen.
Oh, you thought being dead would finally free you from Meta's monetization machine? Think again!
Meta got a patent for an AI that trains on your entire social media history (your likes, comments, posts, everything) and then keeps your account humming along after you've shuffled off this mortal coil.
Your digital ghost will dutifully like posts, drop comments and reply to DMs. Because apparently, death is no excuse for low engagement metrics.
Meta's CTO Andrew Bosworth is listed as the primary author, and the patent was originally filed back in 2023. A Meta spokesperson assured everyone they have "no plans to move forward" with this.
Which, as we all know, is corporate speak for "not until the quarterly numbers dip."
Working at front lines of the IT and having fun there. Been around the Internet since 1992 and still in awe what has become of that little baby. Currently wanted for repeated "Nerd Sniping" on all continents.Personal interests:- IT Security- Computer Games & TTRPGs- Cycling- Cooking & Baking- Books, Movies, TV-Series (mostly F&SF)- 3D printing (new!)- Everything that blinks, has buttons to press and looks remotely gadgetoidEverything i write, post, tweet, blog or blurp is just my personal opinion and is not the opinion or policy of my employer, my cat or my goldfish.I post in English and German. Will try to mark each post correctly, but errors happen. Sorry for that.I apologize if I am not following you back. This happens as my stream is already getting more posts than I can read.