skysight-inc/HackerNews huggingface dataset:
Image: https://raw.githubusercontent.com/GEIGEIGEIST/KLOR/main/docs...

> KLOR is a (open-source) 36-42 key column-staggered split keyboard. It supports a per key RGB matrix, encoders, OLED displays, haptic feedback, speakers, a Pixart Paw3204 trackball, the SplitKB tenting puck and four different layouts, through break off parts.
They could easily have just made him his actual age and a high ranking mafia guy
The downvotes make me wonder how much useful discussion on HN is actually lost because of ignorants who prevent valid/factual information from surfacing.
Freedom of yours, is not freedom of others. You don't get to define freedom for others. Freedom for others is to move to a newly built suburb an hour away from the city, and still work in the city.

What happens with most of these, is light rail goes to the city for a few surrounding suburbs with 50-100k people per town. To get to that train station every morning, you need a car. No, you cannot have a bus circle the suburb for an hour to pick everyone up. No you cannot have many buses purchased by the suburb and stand still during off times - the taxes from 50k people cannot pay for that. No, no one is going to wait at a chicago suburb busstop for a bus while it's raining in October, or baking in July, or blasting -15 temp at 20mph winds, while the bus is late.

No one is driving cars to the desert. They are driving it to the mall, the restaurant, the rail stop.

They don't have to "deal" with parking. Towns have huge parking lots, and land is cheap.

What you did is make up a strawman, where people living in the dense city don't need a car. Guess what - most people there don't have one. I'm one of those people who has had cars in little towns, and no car while I live in the city.

Yes, there are two people who drive from the suburb to the city. Those are the minority. You see that traffic jam into the city in the morning? That's people's choice to drive. They can instead drive 10min to the rail or bus stop in or near their town. The option of which you speak, is already there. Selecting it or not, is the freedom.

No, I'm not talking about every city. Just most.

And no, we didn't have that which you describe. What we had is people having to work real close to where they lived. They are still free to do exactly that. I've tried that for over a decade, and don't own a car. As a consequence of that choice, I rent and sold the house. Maybe if you have a kid in school, you don't want to move too much. Maybe you get fired too and the next job's not that close. There was no fast subway or rail going all meshed between every town. Rail trips between towns were a thing you packed and dressed for. They were not a thing you took to work and back every morning. That thing, was the light rail to the city, is still there, and many people use it.
Asked a Islamic friend: the consensus is, that it is another tool, like a knife, can be used for good and bad.

Well that's one opinion; bet you can find another option that's totally different
The new PDF plugin is an absolutely fantastic tool for digesting a large number of academic articles quickly.
Let them choose their way of life for themselves then. People in the city shouldn’t have their built form dictated to them by the people in rural or suburban area’s transport needs.
Python Simulation of the Blue Eyes Island Puzzle
Listening to it now (thanks, +interesting). This is 1974 so predates the seminar for the OP book (1990) but it is definitely related. 'Thought as a system' is apparently Bohm's answer to the question of 'what is the root cause' of mankind's perplexity and misadventures ("stupified" per '74 audio), and this '74 is where they are asking this question.

"We're in a terrible mess because there has been 10,000 years of stupidity".

p.s. found it: https://www.youtube.com/playlist?list=PLAmzziUZMYuRIEeCImzmX...
> Language is a way to encode thought. It's not what thoughts are made of.

What about people who think verbally and don't have a "mind's eye"? In that case, thoughts and their encoding might be closer to 1:1.
The Dragonfly benchmark runs one Redis instance on a 64-CPU machine and compares it with one Dragonfly instance on the same machine.

But there is nothing stopping you from running 64 Redis instances on one machine if it has 64 cores, which is what Redis did (actually, they ran just 40). That actually seems like a nicer design overall, as it scales "naturally" to multiple machines without any extra effort/code, it keeps the code simpler, you can also have one of these Redis instances segfault without bringing your entire cache down.

Other than that, they seem to have run the same benchmark. YMMV for other types of workloads of course, and perhaps Dragonfly could be configured better in some way.

Either way: it seems the Dragonfly benchmark is not just biased, but highly misleading. And while the Redis benchmark may be biased, it certainly doesn't seem highly misleading.
No? The limit to growth use World3.
Tim who? I'd never even heard of him until today.
how does it handle conflicts in multi-master mode?
You can read the French nuclear doctrine, they literally used to publicly measure their target capability by number of soviet cities destroyed and the amount of civilian casualties they will inflict as a % of the population of the USSR.

That target btw was (at least as far as there late Cold War goes) the complete obliteration of 50 of the largest cities in the USSR, the destruction of 40% of its industrial capacity and the immediate death of 20% of its population.

And back then they target the USSR not Russia so Poland and East Germany as well as other soviet republics were on their target list and very publicly so.

France hasn’t really reduced their nuclear stockpile since the Cold War, their doctrine also hasn’t change much in fact they are the only country which said that it is willing to respond to terrorism with nuclear weapons if it comes to that.

So yes their doctrine is very much still deterrence through unimaginable punishment.
Pyserde: Serialization library on top of dataclasses, inspired by serde-rs
Weirdly, in-memory data storage is barely the bottleneck most of the time.

Why do we need faster storage? We need better models & domains that improve our developer experience. Not something faster. We don't need cars that go 650km/h. We need better roads and superior security controls

Blazingly fast wasn't enough; now we add "on Earth" to be impactful enough to capture our attention
He's a human optimization expert, totally legitimate, and not a snakeoil salesman, who just so happened to put on 34 lbs of muscle IN A MONTH following a style of training, HIT (not to be confused with HIIT cardio), that the scientific literature has largely debunked, that was used as a marketing ploy to sell exercise machines and ultimately a company (Nautilus), and has historically only been used and promoted by a small minority of bodybuilders, the most famous of whom (Mentzer & Yates) may not have even used it, and were voracious users of PEDs even by professional bodybuilder standards (Mentzer used meth before workouts, and died at 49 of a heart attack). As Tim describes (can't link to it without getting caught in the spam filter):

> I weighed 152 lbs. for four years of high school, and after training in tango in Buenos Aires in 2005, that had withered to 146 lbs. Upon returning to the US, I performed an exhaustive analysis of muscular hypertrophy (growth) research and exercise protocols, ignoring what was popular to examine the hard science. The end result? I gained 34 lbs. of muscle, while losing 3 lbs. of fat, in 28 days.

He's written a series of human optimization guides, including the 4-Hour Body: An Uncommon Guide to Rapid Fat-Loss, Incredible Sex, and Becoming Superhuman. Totally legit.
I see that Watumull is one of the coauthors. I'm not sure what's going on with that, but Watumull is the common thread running through other bad papers with otherwise-sensible linguists' names tacked on to them, such as this bizarre paper about recursion: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3884515/
I haven't had a chance to read the NYTimes editorial, but I would be skeptical how much of it is really coming from Chomsky. He's 94 at this point, and while he's not senile in a medical sense, I don't think his judgement is what it used to be.
Even if there are no bathrooms around it's not like the law allows that. Saw a video where a cop arrested a fire man for stepping several inches over a line while putting out a fire. Literally handcuffed and thrown in the car. Also saw some cops arrest a woman for having a stroke in a hospital lobby, she died minutes later on her way to jail.

I wouldn't put too much faith on human judgement of criminality. I'd put even less faith in corporate views of similar matters. Even less in machine learning models. And I'd put the very least in corporate run mass surveillance fed machine learning models.
I’ve been teaching myself to code for the last 8-10 months. ChatGPT has greatly accelerated my learning. If I want to accomplish something, I can ask GPT to give me an overview of frameworks, tools, and design processes to accomplish it - stuff I would normally ask on Stackoverflow (and get scolded).

I also like that it’s a judgment free tool where I can ask as dumb a question as possible without fear of being mocked or chastised.
Wishing you excellent health, mate. That's rough.
https://www.youtube.com/watch?v=s19G6n0UjsM
<<La somme des malentendus autour d'un nom>>
That's fantastic. I might have to hook up my lights.

I also keep complaining that music recommendations fail because they don't take into account enough factors like this - would be great to control music choices this way too
Mine did that. Was yours a Volkswagen?
Have you checked DragonFly? It's multi threaded and modern Redis, it blows Redis away in performance by an order of magnitude.

Some performance number here - https://www.dragonflydb.io/blog/scaling-performance-redis-vs...
TypeScript doesn't have the fantastic numpy/scipy/torch ecosystem though.

I wish I could have TypeScript's block scope and type system but have access to Python's ecosystem. That would be a great combination.
Reimagining Meta’s infrastructure for the AI age
ChatGPT and Jupyter (Noteable) = Mind-Blowing
My limited understanding is that there's less cache thrashing (from multiple different workloads scheduled on the same core) and less scheduler overhead (from less overall threads).
AI at the end of the day is a term that describes a lot of tools that has something in common. Islamic opinion will depend on how you use this tool for. If you are developing a drone swarm that will be used to kill people in the war or if you are developing a robot swarm to help do difficult jobs inside factories. It might be the same concept or technology but the usage is very different from Islamic perspective.

Another example is the usage of famous ChatGPT. A student can use it to correct English mistakes or for some help in their school work or they can use it to cheat and produce the full homework or exam. People can use it to write and publish porn stories or can use it to help them write a useful book. Islam also put a special important on intent of the action.
Awesome-load-management: links to articles, papers related to load management
Sure. But how much would Reddis benefit from the extra cores? By adding threads support it would need to add support for locks and then that might make it slower. Besides, Reddis isn't usually the slow part of what you are doing.

It might be interesting to have, say, a readonly slave builtin as a second threat that might return outdated information, but I doubt how much use you would get out of it.

I am kinda struggling to come up with a scenario where a significant part of the computational need of you app was in Reddis.
Emperor's new clothes + gold rush = dotcom(N.0).

WeWork wasn't materially differentiated from Regus. That should clue in any investor on how to approach it.

These days, there is likely a greater opportunity for "Airbnb-for-coworking" at scale due to layoffs and slack in commercial real-estate occupancy. The main issue is integrating compatible identification and access control to ease badging. There are very few environments or situations where anything crucially secret ever occurs, and a peer vouching system and background check process should be enough to screen "is this person sane and not going to disrespect or disrupt the space?".
"In a distinctly non-humanlike way". You can learn a lot about how a system works from how it fails and in this case it fails in a way consistent with the token-prediction approach we know it is using rather than the model-forming approach some are claiming has "emerged" from that. It doesn't show the performance on a marginally more complex example that you would expect from a human with the same performance on the slightly simpler one, which is precisely the point Rodney Brooks is making. It applies equally to GPT-3.5 and GPT-4.

But I didn't respond to debate the nature or merits of LLMs. It's been done to death and I wouldn't expect to change your mind. I'm just offering myself as a counterexample to your assertion that everyone (emphasis yours) that is unconvinced by some of the claims being made about LLM capabilities (I dislike your "sides" characterisation) is using GPT-3.5.
And LilyPond? Even though I'm not sure I'd consider it to be a small language...
People who kill themselves do it for all kinds of different reasons.

Counterpoints: suicide bombers, murder-suicides, being under duress, wanting to maintain dignity or honour, doing it in anticipation of a drastic reduction in quality of life even if they aren't currently suffering. Plenty of others too.
GPT detectors are biased against non-native English writers
[1, 3, 12].sort() == [1, 12, 3]

5 in [5] == false
Lilypond (a tex inspired music markup language, with scheme integration) is also noteworthy!
What a bewildering statement. Have you actually read the Quran?
But aren’t people meant to be able to push useful things to pip? These developers might not even be new, they might just not talk about it online much, or they could be new but fast learners, so these projects could still be things that many other people want
To me, spinning up multiple copies of the database is cheating. You're comparing a box of Apples to a single apple.

Yes, using a Redis cluster is the only way to get Redis to actually use system resources effectively, but its a relatively complex thing to create and manage compared to just running 1 server.
It stops companies from taking it for free. Sure, you could find senior developers experienced in building performant and reliable databases to build one for you in many months. But you need to commit the resources to that and you'll be playing catch-up to what dragonflydb achieved in the meantime.
I love python, and I understand the importance of typing, but is there a way to have less physical keyboard typing?

Consider the two examples:

`private Dictionary<RoadPlate, List<RoadPlate>> road = new Dictionary<RoadPlate, List<RoadPlate>>();`

`road : dict[RoadPlate, List[RoadPlate] = {}`

Or even just `road = {}`

I prefer python simply due to needing less writing and less reading. I can think more about the program when there's less stuff to read
This argument is worse than saying the Earth is full of water in the ocean, let's just make it drinkable an no-one needs to suffer from bad water quality.

I fully agree that we should be a society that produces a vast surplus of energy to perform actions or work that need doing.

With an abundance of energy, we can move mountains on this planet. What's holding us back is this silly belief we need to be living in the dark ages and not turning on the heater and staying inside a bunker so we don't freeze to death outside.

Electricity should be incredibly cheap coming out of outlets in our homes. We have the ability but not the political and social will to do this.
At least on AWS it is kind of hard to get 40 tiny VMs with sufficient speed on the infra side. Given that laptops get 40+ vCores these days, I think a single instances od anything should have some multi threading.
Scaling the organic is an intractable problem.

"Collaboration" by forcing employees back into the office doesn't work either.
Lived experience stands in contrast to observational experience.

I as an outsider may observe friction in a developer--customer meeting. Ask the developer, and they may reveal that they found the arguments during the meeting highly valuable and productive. A lot of case studies and experiments in productivity improvement are observational. You do something and then you look at the results, rather than how the lives of the people involved changed.

When an outsider looks at a situation, they often see something very different to what the people in it did. That's the difference between lived ("insider") and observed ("outsider").

(Of course, strictly speaking, you don't get lived experience from interviewing people. People being interviewed tell you, to some extent, what they think you want to hear at that time. To really get closer to lived experience the researcher has to embed with the group being studied and work with them for some time.)
Another difference you might be surprised by is that the .NET tooling by default collects various data from your system and sends it to Microsoft [1].

If you want to avoid this (and still want to use .NET) you'll have to make sure that the environment variable DOTNET_CLI_TELEMETRY_OPTOUT is set to 1 in all contexts before touching anything.

[1] https://github.com/dotnet/sdk/issues/6145
The housing crisis is exactly how densification starts. It will happen when market forces are allowed to work despite the god awful amount of regulations.
People complain about how terrible Google's search results are with unrelated spam cluttering most SERPs. Do you find that to be the case on Kagi?
Yeah, maybe, but I'm not the one who said "I hate them" or "they just sound so damn whiney" and did nothing to change it.
> Now ChatGPT is pretty much Skinner’s work come to life.

I'm pretty sure that is based on a misunderstanding of Skinner, ChatGPT, or both
..it's not good because it's bad?

Why is it an anti pattern, this is news to me?
Not really.

First, the JS ecosystem is very web oriented, so if you want to dabble out of there, you often gonna fall short.

Secondly, the JS packaging has very poor support for compiled extensions, which mean everything that needs a perf boosts is unlikely to get good quality treatments.

Finally, the community makes it a constant moving target. After 20 years of writing both JS and Python, I can still install old django projects that use 2.7 (did it 2 months ago), but JS projects for even 5 years ago are a very hard to build.

Bottom line, I use JS for the Web because I have to, given it has monopoly on the browser, and now good GUI, but if I want to keep my options open, I would rather go rust or go than JS.
Android-DataBackup: Data Backup for Android
I get what you're saying. But there are cities where you don't need to worry about a timetable, there's just a constant stream of trains coming through. I'm thinking of Tokyo, Shanghai, or Vienna for example.

The rate of trains coming in in these cities is such that I rarely have to worry about a timetable. I just need to know which trains connect where.

The problem is the cities in between, which is probably the majority, where public transit is not used enough to warrant such high number of trains. If the public transit system was used more, you could schedule more trains, if you had more trains it would be used more.

It's kind of a chicken and egg situation where you need a lot of political will, or such density that it becomes necessity, to push for this.
Still not safe. Yesterday.

https://newsrnd.com/life/2023-05-20-two-12-year-old-twins-di...
Yes, I was forced to read Quran as a child in school in Iran.
Citation for the stat?
Funny how they didn’t analyse buzz — and spam — on Twitter by the crypto bros.
The comment you replied to explicitly said (so you don't even have to read the redis article, which also clearly says so)

> The Dragonfly benchmark runs one Redis instance on a 64-CPU machine and compares it with one Dragonfly instance on the same machine.

They were not running 40 tiny VMs!
Finally, an answer to the question that has plagued me for decades: On what ship did Mel's grandmother sail from Russia to New York?
(yes, the CV actually drills down to this level. Uncanny)
But now you have to explain why the same is not true of a human. Just saying a human has a 'mental representation' and a 'mind' is not explaining anything
Maybe I'm missing something here. This looked like it would be good, but I only got as far as the second page.

It claims to be aimed at "curious people over the age of 14", but goes from "the period at the end of this sentence is a million nanometers", straight to diagrams filled with nothing but technical jargon.

The text has various unexplained terms throughout, that are mentioned as if the reader already knows them: "PDK", "stackup", "layer", "polyres", "polysilicon" and "gate of a MOSFET" for example.

"Mask" is explained, and it's a good explanation. It'd be great if that attention was given to other domain-specific terms someone coming to this new likely doesn't know, or maybe has seen but doesn't know well or in this context.
I’m sure there are good general sources of info, but a lot of this stuff will be very local. Some places, like the California Central Valley, are just lucky. Look for a seed library near you. A literal public library giving away local heirloom seeds.

For example, if you live in a formerly-industrial area, your topsoil might have mercury from coal burning. You might get an excited reply that fungus can help; you need to find someone who’s proven it locally. Much less exciting.

Here’s an interesting comment on central California:

https://news.ycombinator.com/item?id=12552056
You don't even need to be famous to be on the receiving end of this kind of thing. You can just be unfortunate. The more output you have in the public domain, famous or not, the more there is to latch onto.
> and consider the overhead of managing 1VM vs 64VMs

They clearly are not running 64 VMs in the test they are describing.

They compare both databases on one VM of the exact same size, both deployed as their makers recommend to deploy them.
Multi-threading easy is it's hard synchronization that's
> the panacea you've made it out to be here.

This is misreading my comment, at best.

> It is very possible that a particular problem requires performance Python can't match, so that any Python solution will be too big/ slow/ clumsy and must be rewritten in a better language.

This has been discussed again and again on HN, and the answer to it still stands to this day. So now I'm not giving you the benefit of the doubt.
A capsule tied to balloon will herald edge of space tourism in India
Or very lossy compression of what I mean. I have studied both quite extensively. Not 10,000 hours each, but hundreds for sure.
We're not talking about UNIX, it's a personal project.

Saying it's a "shit idea" to choose a particular style for a personal project is a huge stretch, and quite rude to be honest.