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I agree with all you said. Except... some whimsy might truly make people enjoy the thing more.

Like audiophile cables, the placebo effect contributes to the experience. Or maybe it’s the lack of nocebo that helps. Either way, someone convinced the whiskey tastes better from that glass will actually taste something better in their subjective experience.


Wasn’t the honeypot open to anyone who might put their hand in it, while the honey trap was for a specific victim?

My grandmother was using a similar saying long before that, translated approximately: "there's never just 1 mouse in the barn". I'd bet these expressions have been common across the world for centuries (maybe substitute for local rodent).

On many machines with DDR5 you get the lengthy memory training every boot and that comes on top of the already long UEFI initialization time.

Surely that could run in parallel with initializing everything else, with the amount of CPU cache modern CPUs have?

Also the soldered ram couldn't have changed from last boot, so reuse the last training? That's exactly what I mean.


The memory training happens before UEFI is initialized proper, though it provides a minimal framework for handling such parts - it's mainly so that every bit of very early code can properly pass information later on.

As for reusing the training, that's what normally happens, but there are various things that can trigger retraining beyond swapping anything in memory modules, and it's perfectly possible the vendor somehow managed to write an add-on that triggers that on every boot (just like intel managed to wreck NVRAM on every netboot, for example)


The training reuse is already happening on machines with regular user-replaceable DIMM modules. It's why there is such a scary long wait on the first boot of a newly-assembled system, but not subsequent ones.

So even if it can change, starting out with a simple "Are the same modules still installed?" check saves a lot of time.


> training every boot

except this should only happen _once_ (until you remove/replace components, reset the BIOS etc.). Which is why it normally doesn't happen for laptops, it was run once in the factory and DDR being soldered one mean they can just "fixed" disable the retraining avoiding bugs in the "retraining needed" detection

but yes, there are pretty bad motherboards out there, like the one I have turned out to be a complete shit show with multiple sever design issues I unluckily "lucked out of not running into" in the first 2 years of usage making a return unlikely and a replacement is useless as this is are fundamental issue affecting all models AFIK.


> everyone is sounding like a master of drafting emails

> this is pulling up people's thinking to have a structure, minimalism and sequencing of expression

I see the same for the former but the opposite on the latter. Everyone sounds like expert drafters because the AI is doing all of that.

True to the "use it or lose it" principle, the people's thinking skills about the emails have weakened. They rely on giving the AI some bits of info, a document they never read, some vague instructions, and the AI molds the message with structure and sequence. Then I get to experience live the joy of discussing with these people face to face and they still just spit out disparate bits of information with no fluid structure and sequence for the ideas because the only time they thought about the topic was when the AI wrote an email about it.


> because the only time they thought about the topic was when the AI wrote an email about it.

Calling this “thought” is an injustice.


Those ~20 year old comments compared HN to Reddit of that time, which was insulting to HN. In the 20 years that passed probably HN at some point crossed the threshold of old Reddit. But now the insult is to compare it to current Reddit.

On the other hand putting it in the rules that you’re not allowed to say X and then quoting the rule as evidence against X is at the very least not an intellectually interesting way of making a point. Imagine if everyone put in their profile that they’re never wrong and kept pointing at that when challenged.


Is it an intellectually interesting way of pointing out that a comment violates the guidelines, and more important, is just boring?

> Is it an intellectually interesting way of pointing out that a comment violates the guidelines, and more important, is just boring?

Intellectually it's like refuting someone's argument because they made a typo, like on Reddit.

When HN puts something in the rules it sets the tone for the whole community. I was being charitable calling it "intellectually uninteresting". "Embarrassing" is a more accurate description of that particular move. Imagine if Trump signed an EO demanding that he only be called a stable genius. If it's utterly embarrassing when it's done by the people you don't like, guess what...


If you give away trade secrets by intentionally giving them to another party without an explicit agreement of secrecy no statute in the world will protect it.

You have to take “reasonable” measures to protect trade secrets. Uploading them to a service without any confidentiality agreement or worse, where the provider officially has the right to use that data, defeats the definition of a reasonable measure.


Human drivers pay one insurance, for themselves. It’s easier to swallow because most drivers think they are above average skill. Not so easy when they need to cover someone else’s coding mistakes. And if the company has to pay for every car that self drives that can get ugly fast, one bug and half the fleet has a fender bender.

Chances are they just self-insure (like they are now) and eventually will have some group insurance if they can actually prove it's safer over the next half decade.

The valuation would be realistic only if they were the only ones with a real shot at autonomy or at least a considerable head start, like they did in the EV market. But they don’t.

The real incentive is that Musk won’t let one of his companies “fail”. It will be absorbed into a larger more successful one and keep delivering “investor value”.


That’s an interesting project and if you ever succeed it will be massive. What I say shouldn’t stop you but just in case, EEG signals through the scalp are incredibly noisy. You can’t get the level of granularity you need like that. You’re putting a stethoscope on the side of the building and trying to guess what everyone in a few rooms is working on.

Yeah! Super super noisy - and maybe harder than you've described. At least you might overhear some meetings with a stethoscope-on-building approach.

That's kind of the motivation for trying a no-MEG, (comparatively) large dataset, ML approach - it strikes me as exactly the kind of problem to which transformer models might be particularly well-suited, if it's even possible to find a hint of anything in that noise at all.


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