I’ve been looking for something like this myself. I’ve tried:

• NocoDB
• Baserow
• Homebox
• Snipe-IT

In the end I went with Grist. It may not be specifically designed for it, but it is very flexible.

At least 1

Just ask for ID like alcohol

Yes, energy drinks shouldn’t be sold to children. An age limit that prevents selling to people below 16 seems like a good idea to me.

They missed out on calling it macrodots

I still somewhat struggle to explain to myself why he won.
I’ve considered it being a protest vote, not one with a clear goal or particular signal in mind, but just as a F you to whomever was in power, but that doesn’t explain why people worship him.
I’ve considered it being a result of conspiracy theories and his ability to use those to his advantage by occasionally partial recognizing them and playing along with the story, but that doesn’t explain why over half the country would vote for him.
I’ve considered it being a consequence of Moscow trying to destabilize the US by supporting a candidate that is easily bought or manipulated. Although there definitely has been some interference, believing it to be effective to an extent of swaying the elections seems almost like wishful thinking at this point.

In the end, I’m still not entirely sure what it is. Maybe you’re right and it’s really that simple.

Trump has won again, despite how he acted last time.

A real nuisance for all those AI datasets, huh?

Never had any problems with Hetzner

This is referring to the plans to create digital euro with GNU Taler, right?

GNU Taler (Taxable Anonymous Libre Electronic Resources) is a new secure electronic payment system based on open standards, free software, and advanced cryptography. GNU Taler provides privacy guarantees to the buyer while offering the possibility to audit merchants, making sale incomes transparent and fraud difficult. To online merchants and retailers, GNU Taler offers instant transaction clearance without risks of fake payment methods. Computations needed to clear the payments are efficient and scalable so that banks can pass on lower transaction costs to consumers and merchants. Consumers can withdraw money from their existing bank account into their GNU Taler wallet, detaching their spending habits from scrutiny, in the way cash does.

The NGI TALER project is funded under Horizon Europe (Pilots for the Next Generation Internet) with the aim of bringing GNU Taler to market across Europe.

Source: taler.net

They’re planning on using GNU Taler afaik

• https://www.taler.net/en/ngi-taler.html
• https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/competitive-calls-cs/6904

With the first model costing 2K USD of a mediocre device (4GB RAM, 128GB storage) it’s not surprising that they’re not that popular. Their 700 USD model only has 3GB of RAM.

Hi, don’t want to bother you, but maybe you forget about my PR to show whether a link is added yet

I just remembered I still have an old gmail address, I should probably change those things over to my new addresses.

I don’t know, but here’s a list of instances https://joinpeertube.org/instances

Still not that great, I rely on the companion to redirect me to channels through YouTube.

Everyone should check out PeerTube sometime, the UX has improved a lot and there’s a decent amount of content too. I recommend installing the PeerTube Companion app. It shows a popup on YouTube if you’ve clicked on a video that is also available on PeerTube.

Breaking change: Due to the security reason, the “Console” feature is now disabled by default. If you need this feature and understand the risk, you can enable it via the environment variable DOCKGE_ENABLE_CONSOLE=true.

Good that they made a decision, the old security features restricting which commands you could run were awful and could be bypassed by accident. You could run ALLOWED_COMMAMD; RESTRICTED_COMMAND and it would just do it.

I fixed DNS

(My DNS queries were blocked by my ISP’s modem, I flashed OpenWRT on an old WiFi Repeater, and set up a DoH proxy)

A machine learning model that can generate text.

It works by converting pieces of text to “tokens” which are mapped to numbers in a way that reflects their association with other pieces of text. The model is fed input tokens and predicts tokens based on that, which are then converted to text.