omegalulw

Tbf in a lot of cases you can use decision problems to solve, say, optimization problems with only polynomial slowdown. Hence their appeal.

This, x100. Most people would know of overclocking but not undervolting, with the irony being that the latter can be far more useful for the average user.

For example, I have a stock air cooled Nvidia GPU. Standard overclocking doesn't get me much because I get temp throttled. However undervolting, i.e., you boost clocks at lower voltages while not at higher voltages, leads to higher sustained clocks with _similar_ power/temps.

This is a consequence of power generally being linearly related to frequency and super linearly (even quadratically) to voltage.

I would agree in any free society, where you can trust institutions to fix such mistakes when they happen, this risk of irreversible transactions is not worth the reward.

But when the alternative is a dictator arbitrarily seizing/taxing your money, devaluing it through poor economic policies, the risk doesn't seem so bad eh?

I would love to first see a technical definition of fairness from EU that can be used to evaluate algorithms. That is a non-trivial detail often overlooked from these discussions.

What about 8K, 16K, etc video streaming? Not much content today but I expect them to become mainstream eventually.

It's likely big neural nets, looking at the weights won't tell you much. What you can use instead to find biases is the training data, especially what sort of data the explicitly exclude/include. It's unlikely Twitter releases that.

Thanks. As a follow up, isn't regular quicksort just using O(log N) memory - for the recursion stack? Assuming random pivot and considering average performance. Seems like O(log N) is worth comparing to...?

Is the buffer here extra memory in addition to the input? What about just an O(log N) size buffer?

What is the significance of [a-zA-Z0-9-]{0,61}? Some special limit on 61 characters?

The other services are not charging a premium just for 4K, are not bundling 4K with 4 screens and have content that competes/beats Netflix's. They also haven't saturated the markets so you will not see them slowing down yet.

I predict Netflix will change two things business wise: 1. Ads. 2. No content dumps, instead 1 episode/week.

You overestimate home many people even see grass these days :)

> Taxis died because it's a horrible user experience that was propped up by a government-enforced monopoly.

This cannot be understated. Also, as an introvert, negotiating with drivers, especially those that don't drive by the meter was always stressful, I mostly ended up overpaying.

There of course the implicit assumption here that Musk's offer is causally related to Twitter's stock price. OPs comment make sense if you keep that in mind.

Can't the index be shared across a cluster? Possibly with multiple replicas for a share to allow for servers to easily go up and down?

> How do you provide your secrets to your apps? Using an external service? That would still require another set of credentials. Using environment variables? A file only the user running the app has access too? Another way?

A credential/key storage service, either on device/server or as a separate device, with IAM to control whether the user executing that process can use that secret or not. The user in this case for prod services should be a prod (non-human) user.

When all your services are like this, no person should have direct access. You generate key/secrets depending which services you want to allow to communicate with each other and the keys live in the key store. For secrets for external services, e.g. API keys, someone would have to enter them once, yes.

You also should try not to rely on secrets, rather invest in proper authentication/authorization logic.

Their solution sounds reasonable. I don't particularly get why this is even a new vulnerability? If someone manages to create a .git at the root, that means the whole filesystem is under version control and appropriate hooks should execute. Why would this be surprising behavior now? In any "multi user system" as the article says, this would need root access and such a user can do many other bad things if their intent is malicious. I feel like I'm missing something obvious?

That's not a new problem, it's an age old problem with any complex system; they will always be emergent effects.

This is short sided. AI is at the point An average dude who, say isn't good at drawing or painting can use AI that draws or paints for him. Sure a good chunk of the produced images/art will be garbage but good examples can always be cherry picked.

Isn't a common complaint with Tesla now their build quality?

Wait, do people really have a low reputation of Atlassian? The picture o had in mind was that that pay top $$$, are remote friendly, etc. I would have expected their stuff to be much better...

Should be called transpiler instead?

> Does anyone really think Amazon is the world's "most customer-centric company" now?

Absolutely, their customer support is stellar, across countries.

The problem of fake reviews and junk products is indeed a real problem. But I would argue that this by itself doesn't imply that Amazon doesn't care about it's customers, rather that it is a general problem that's largely unsolved in most (BIG) online marketplaces where manual curation of inventory is not feasible due to scale.

>> experts warn that algorithms could introduce racial or other illegal biases

> There was literally no expert quoted in the article who asserted such a thing.

This is exceedingly harsh. Look at regulation on the credit card industry on what data you can and cannot use to make credit decisions. Algorithms can certainly have bias - that's not a disputed fact - and without careful screening of the data and the models you will quite likely have biases. So the article isn't unfair in making that statement.

30mbps or 30MB/s? You can do 100mbps+ on LTE...

This seems like such a short sided take. For a company to be labelled a "tech" company the tech itself should be the product. For example Apple, people buy iPhones and apple stuff because they perform well (e.g. fantastic camera, displays, M1...) and they work well with each other. Certainly at this point Apples name gets people to pay a premium but that's still grounded in the quality of their stuff. You can pick similar examples across other tech companies too. For example, Netflix got their head start because of their streaming tech.

> The most common engineering mistakes can be fixed with more money.

That applies to pretty much all mistakes.

> Typically some other factors is what makes or breaks a company.

Tech is still pretty much at the top of that list, especially for "tech" companies.

Keep in mind that M1 is on 5nm but last I checked neither Intel nor AMD arent there yet so I expect competition to heat up even more!

This is why you should put minimal consistency checks in your DB directly. Put them in your storage later instead.

One thing that always freaks me out is how do you trust your cat to not scratch your face or maul your eyes out while you sleep (accidently or otherwise)?

To anyone who is reading this and genuinely wants to know: it's PDT, UTC-7.

I don't see why resolution without a "symbol table" is a big deal. Knowing whether A is a type or not resolves these fairly easily. And in well written code, it should generally be obvious whether A is a type or not so it should not be a readability problem either.