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>5-10% loss at the register

Where did you get this number from?


Clankers found me one study [1] that suggests total handling costs may actually be this bad, but are highly business dependent e.g. restaurants are worse than grocery stores

[1] https://www.ihlservices.com/product/the-cost-of-cash-handlin...


I'm just seeing what looks like an attempt to sell me a PDF.

What actually is the source of such costs? The cashier still has to be paid even if the customer is using a card. Presumably there isn't anywhere near that much theft from registers, or people messing up giving change?


Employee theft. Store manager theft. Robberies. Counterfeits. The extra time spent at each cash transaction and re-counting at the end of the day. Going to the bank, or paying an armored car service. Banks charge merchants a percentage of each cash deposit. Buying safes and pointing cameras down at each register.

This. My extended familys shop really benefitted from moving away from cash. Now the only source of cash is people who are paying from their black money stashes.

Great examples all around !

Clank deeper, please. You gave us content marketing from the electronic payment industry:

"Does IHL Group have any connections to merchant providers?"

> IHL Group sells market intelligence, vendor directories, and lead generation data to the electronic payment industry.


Definitely a conflict of interest.

Cash handling costs is a real issue though. Not counting under-reporting income, credit cards cost the most at US intercharge levels of 1-3%. Then the all-in cost of cash handling. The lowest cost method is debit.


The lowest cost is in the EU in this regard. Anti-rent-seeking regulations ain't so bad for everyone, save the rent-seekers.

BTW, I used to handle around $7M/year in credit card transaction in the USA, and if you got actual hand-written partial numbers on a signed contract, then we could avoid nearly 100% of charge backs, as we always delivered on our end. I think in 14 years, we had around 10 charge back attempts, and our merchant provider loved us. The only time I ever magically lost a charge back was to a Visa executive for ~$10k, and our merchant provider just shrugged. Whatayagonnado?


Your psychiatrist looked at you like you were crazy?

So what software could be making these ENUM queries? Any theories?


VoIP phones or telecom software


It's the kind of feature that would rub people the wrong way, whether it's a cop, a friend, or a stranger you want to show a funny video to.

To give a couple of examples, using this would be a bit like locking the glove box in front of traffic cops, or going around the house locking rooms when you have a guest.

The only way to make it socially acceptable would be to make it some sort of default (for example, requiring face id when switching apps, with pin/fingerprint as a backup), which will probably be an option as the lag and failure rate of face id or other owner-detection technologies improve.


> To give a couple of examples, using this would be a bit like locking the glove box in front of traffic cops, or going around the house locking rooms when you have a guest.

That's a good point. Doing this basically says "I distrust you", which you probably don't want to say. (At least I don't.)


In the case of cops there's basically no way to interact with them that's both safe and makes them happy. But I just keep a printed version of my insurance for that reason.


For erudites Word is a much better name. We seldom use that verbum.


Deepseek is, with difference, the most "Western" of Chinese models, so it's a bit perplexing that it was chosen to test this hypothesis.

I didn't run any benchmarks but I played around a little, and after getting around the API-level filter Deepseek V4's answers about "China-sensitive content" aren't any different from what I get from Claude and ChatGPT.


You can see exactly what prompts we used and the results here: https://github.com/CTGT-Inc/lineage-eval/tree/main/data

We found V4 Flash was significantly more censored than the baseline.


Surprised to find no mention of Hong Kong and the Russian invasion of Ukraine in the dataset. It's interesting how the fine-tuned model will respond.


You can try it yourself! https://playground.ctgt.ai


Could just be resources available? Deepseek is the easiest to get up and running on hardware that's pretty readily available:

   unsloth/DeepSeek-V4-Flash-GGUF 4bit ~140GB
   unsloth/Kimi-K3-GGUF 4bit ~1.5TB
   unsloth/GLM-5.2-GGUF 4bit ~400GB


Probably a random Roman. People used to walk a lot, often barefoot. The random modern Westerner would get blisters within the first week.


Yes, distance is about the same. 1488Km in Google and 1075 Roman miles in Omnesviae [0], that is ~1590 Km.

[0] https://www.omnesviae.org/#OVPlace337_TPPlace1048


>This problem is solved in China

It isn't. China is the best example that draconian identity verification / KYC processes don't stop scammers.


could you explain more? im always under impression that chinese scam/fraud are rare. what keywords should i search for?


Most scams in China are a mix of romance and investment scams.

Since WeChat allows accounts created outside of China, it's these accounts that are used. And it's why there are times it's a pain to create a WeChat account outside of China.

The financial transactions all take place outside of WeChat.


I agree. In case you haven't heard of it already https://tldr.sh is pretty good for this.


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