He said “which bank”, which could be determined by the sniffing DNS requests, or seeing which IPs his computer is connecting to.

Not a breach of his personal information (assuming the bank that he’s using and the client he’s using after putting everything in TLS properly).

I took a flyer on some GME back during the excitement. Got in at about $35, set a limit order at $420.69 (nice) for the lolz, and was pleasantly amused when that order got filled.

Source: trust me, bro

Yes, let’s spend money on a system that only helps people in a specific set of buildings only during specific parts of the day and year when the buildings are occupied, rather than doing anything that would help society at large, at all times and anywhere in the country.

Like I said, it’s impossible to know what the right thing to do here, much less actually do it.

Hmmm, one involves fleecing school district funding in a grift, the other reduces profits to armaments manufacturers.

I really can’t figure this out! How is it possible to know?

That’s basically what Netflix did in the beginning. The challenge for Netflix is that the media companies they were licensing content from weren’t dumb, so the licensing agreements were time limited. The media companies caught up and built their own streaming platforms and now Netflix is at the receiving end of disintermediation.

A hit piece on Nazis?

I don’t want to pay for the full goose right now, I just want to pay for the right to buy the goose later, at a price that’s fixed now. I’ll decide later if I actually want to buy the goose or not.

Alternatively, I’m not sure how much my goose will continue to lay in the future, I’d like to pay for insurance to guarantee me a fixed price to sell the goose later if I want to.

Well you should subtract out the kids. I’m not going to get irritated about someone under the age of 18 not voting. That’s why it should be eligible voters, not Americans.

Drive through seems like a great proving ground. Record every drive through customer / cashier interaction. Match each recording up with the transaction entered into the register. Train a model by having the model “listen” to the recording to predict what the order should look like, then match it to the items on the transaction receipt.

Then, phase 1 of implementation is to use the model in real time by listening to the live conversation at the drive through, predicting what it thinks the order should be, then prompting the cashier to double-check the order to see if the human made a mistake entering the order if the prediction doesn’t match.

Phase 2 is human-supervised, where the order taking system interacts directly with the customer to take the order, the human checks the result, and is able to step in / take over if there’s a mistake or a special case the order system can’t handle.

Phase 3 is “fuck your entry level employment” and no human is monitoring the system.

All 3 phases seem completely doable to me at this point, depending on how much backlash MCD is willing to deal with.

One example:

https://learn.microsoft.com/en-us/windows/security/threat-protection/security-policy-settings/maximum-tolerance-for-computer-clock-synchronization

Another use case: when you look at activities that flow across multiple devices and you’re correlating the sequence of events, having every device set to the exact same, ideally correct time makes correlation of events less confusing.

Another option for very cheap VM, storage, bandwidth: Oracle Free Forever

https://www.oracle.com/cloud/free/

Enom