JW_00000

Biscoff is a registered trademark of Lotus Bakeries, while speculoos is a generic name. Hence why Lotus markets its under its owned name, and not the generic name; especially outside Belgium/Netherlands where people don't know about speculoos.

> Apple Reference Image is not an id system; it's primarily a way to attest that the pixels recorded by the camera sensor have not been altered in any way; the pixels, metadata and timestamp are all cryptographically signed.

> There's no way to link a reference image to a person; it's also not possible to determine if a pair of images came from the same device.

Some banking apps nowadays ask you to upload a photo of your ID and then use the webcam/selfie camera to confirm that's it's really you (sometimes asking you to move your head in a particular way). But how trustworthy is that process really? Apple Reference Image could be (part of) a solution, by certifying that both images were taken by the same device around the same time.

I consider, on the contrary, caveating and hedging annoying 'typical redditor'/internet behaviors: they care more about being "technically correct" than conveying the message. On the internet, if you make even the tiniest mistake or simplification, someone will criticize you, so you're trained to always hedge. In normal discussions with friends you can just make general statements and people get what you mean.

There's a fundamental difference between the goal of code and math. The goal of code is to produce software that does something useful. As long as the code does what it's supposed to do, arguably, it's good to ship. (As you imply, we want the code to be good enough to also be reasonably certain there are not too many bugs, that it is maintainable and can be extended etc. This is what early models failed at but now seems broadly fine.)

But for math: what is the point of a proof if no one will read it and no one uses its result? To quote the article, "AI systems will [...] result in the production of an abundance of PDFs. The contents of some of those PDFs may even have important applications." But if there's no one reading the PDFs, what's the point - no matter how good your AI model.

The point of math is understanding. So mathematicians should feel free to use AI as much as you want, but in the end, they should've gained some understanding on what happened.

Research on 5G started ~2012 to be deployed since 2019 (7 years), research on 4G started maybe around 2000 for rollout in 2009 (9 years later). For 6G, research started around 2018 for an expected rollout around 2030 (12 years). These timelines are pretty typical in the telecom field.

The paper lists the "earliest plausible" deployment of 7G as 2039-40, so only 1-2 years off your estimate...

According to the paper, 6G deployment is planned for 2030 and the "earliest plausible" deployment of 7G is listed as 2039-40. You'll have plenty of time to upgrade.

'Hyperscalers' is the term used to refer to the group of companies including Google, Amazon, Microsoft, Meta, etc. The companies with huge data centers basically. I know at least in the telecom sector it is also used to refer to this group of customers.

Why is anything significant or meaningful? This will always be subjective.

Although there is an evolutionary reason why our brain would make our offspring significant to us.

I was looking for the origin of the word "hyperscalers" and found this post. Thought it would be interesting to share with the HN audience.

This is what Word is to most people. They just use the default styles, or their company's template. No special formatting, styling etc.

Also if you do want to add a table or a figure, for most people Word will be much easier than doing the same in Markdown.