StarDreamer

I may be biased (PhD student here) but I don’t fault them for being as such. Ethics is something that 1) requires formal training 2) requires oversight 3) contains to are different to every person. Quite frankly, it’s not part of their training, never been emphasized as part of their training, and subjective based on cultural experiences.

What is considered unreasonable risk of harm is going to be different to everybody. To me, if the entire design runs locally and does not collect data for Google’s use then it’s perfectly ethical. That being said, this does not prevent someone else from adding the data collection features. I think the original design of such a system should put in a reasonable amount of effort in stopping that. But if that is done then there’s nothing else to blame them about. The moral responsibility lies with the one who pulled the trigger.

Should the original designer have anticipated this issue thus never took the first step? Maybe. But that depends on a lot of circumstance that we don’t know so it’s hard to predict anything meaningful.

As for the more “harm than good” analysis, I absolutely detest that sort of reasoning since it attempts to quantify social utility in a pure mathematical sense. If this reasoning holds, an extreme example would be justifying harm to any minority group as long as it maximizes benefit for society. Basically Omelas. I believe a good quantitative reasoning would be checking if harm is introduced to ANY group of people, as long as that’s the case the whole is considered unethical.

This is common for companies that like to hire PhDs.

PhDs like to work on interesting and challenging projects.

With nobody to reign them in, they do all kinds of cool stuff that makes no money (e.g. Intel Optane and transactional memory).

Designing a realtime scam analysis tool with resource constraints is interesting enough to be greenlit but makes no money.

Once released, they’ll move on to the next big challenge, and when nobody is there to maintain their work, it will be silently dropped by Google.

I’m willing to bet more than 70% of the Google graveyard comes from projects like these.

Tail latency with a swallow tail.

Somehow I disagree with both the premise and the conclusion here.

I dislike a direct answer to things as it discourages understanding. What is the default memory allocation mechanism in glibc malloc? I could get the answer sbrk() and mmap() and call it a day, but I find understanding when it uses mmap instead of sbrk (since sbrk isn’t numa aware but mmap is) way more useful for future questions.

Meanwhile, Google adding a tab for AI search is helpful for people who want to use just AI search. It doesn’t take much away from people doing traditional web searches. Why be mad about this instead of the other true questionable decisions Google is doing?

Personally I just want another RtwP CRPG.

I loved PoE1, didn’t care much about PoE2, and will probably care less about Avowed. There’s something magical about a map full of tiles that aren’t revealed immediately compared to a world map that you can immediately tell how much has been explored.

Same thing for BG3. I love Larian (been a Kickstarter backer since the original D:OS days, been playing almost every one of their games on release day since Dragon Commander) and BG3’s a great RPG, but it doesn’t feel like a good BG game. BG2 gave an immediate sense of “I have no idea where to go so I can do whatever I want”. BG3 is always nudging you to uncover the map and clear all the quests.

Nope. Plenty of people want this.

In the last few years I’ve seen plenty of cases where CS undergrad students get stumped if ChatGPT is unable to debug/explain a question to them. I’ve literally heard “idk because ChatGPT can’t explain this lisp code” as an excuse during office hours.

Before LLMs, there were also a significant amount of people who used GitHub issues/discord to ask simple application usage questions instead of Googling. There seems to be a significant decrease of people’s willingness to search for an answer regardless of AI tools existing.

I wonder if it has to do with weaker reading comprehension skills?

Not sure about GreaseMonkey, but V8 compiles JS to an IL.

Nodejs has an emit IL debugging feature to see the emitted IL code.

How much of that is cached state based on the percentage of ram available?

An alternative definition: a real-time system is a system where the correctness of the computation depends on a deadline. For example, if I have a drone checking “with my current location + velocity will I crash into the wall in 5 seconds?”, the answer will be worthless if the system responds 10 seconds later.

A real-time kernel is an operating system that makes it easier to build such systems. The main difference is that they offer lower latency than a usual OS for your one critical program. The OS will try to give that program as much priority as it wants (to the detriment of everything else) and immediately handle all signals ASAP (instead of coalescing/combining them to reduce overhead)

Linux has real-time priority scheduling as an optional feature. Lowering latency does not always result in reduced overhead or higher throughout. This allows system builders to design RT systems (such as audio processing systems, robots, drones, etc) to utilize these features without annoying the hell out of everyone else.

Base it off of total sqft?

I’m struggling to see how someone would need a combined 40000 sqft of residential living space either…

Yeah I completely forgot about the consumer side of things. I was expecting there being Cisco iOS/FRR router configs, not a full web dashboard.

As someone who works with 100Gbps networking:

• why the heck do these routers run Lua of all things???

Nah, just grab the domain and redirect it to X. Watch him explode.

How good are the RISC-V vector instructions implementations IRL? I’ve never heard of them. My experience with ARM is that even on certain data center chips the performance gains are abyssal (when using highly optimized libraries such as dpdk)

Harder to write compilers for RISC? I would argue that CISC is much harder to design a compiler for.

That being said there’s a lack of standardized vector/streaming instructions in out-of-the-box RISC-V that may hurt performance, but compiler design wise it’s much easier to write a functional compiler than for the nightmare that is x86.

Oh nice! A new tool! Do you happen to know how this compares to win10privacy?

systemd tries to unify a Wild West situation where everyone, their crazy uncle, and their shotgun-dual-wielding Grandma has a different set of boot-time scripts. Instead of custom 200-line shell scripts now you have a standard simple syntax that takes 5 minutes to learn.

Downside is now certain complicated stuff that was 1 line need multiple files worth of workarounds to work. Additionally, any custom scripts need to be rewritten as a systemd service (assuming you don’t use the compat mode).

People are angry that it’s not the same as before and they need to rewrite any custom tweaks they have. It’s like learning to drive manual for years, wonder why the heck there is a need for auto, then realizing nobody is producing manual cars anymore.

Vanced got taken down due to trademark violations.

They need something more substantial for revanced. Especially since it’s only a set of binary patches and there is no redistribution of YT source code.

iirc the bad UA filter is bundled with either base-http-scenarios or nginx. That might help assuming they aren’t trying to mask that UA.

Pretty sure expiry is handled by the local crowdsec daemon, so it should automatically revoke rules once a set time is reached.

At least that’s the case with the iptables and nginx bouncers (4 hour ban for probing). I would assume that it’s the same for the cloudflare one.

Alternatively, maybe look into running two bouncers (1 local, 1 CF)? The CF one filters out most bot traffic, and if some still get through then you block them locally?