skysight-inc/HackerNews huggingface dataset:
48.08 USD per month on a single-node GKE cluster w/ 2 cores 4 gigs -> 15.34 USD per month Hetzner VPS w/ 4 cores 8 gigs.
I predict hard times for GCP as they will get squeezed by Amazon and Azure, plus the kind of belt-tightening we see here.
Maybe it is a very simple setuo
I learned to live with a name that's a constant source of humiliation
Same old cycle. They will get used to it and YouTube will change it again.
Have we though? You got any source on that? There's already a severe shortage of doctors, so what happens if standards are significantly increased?

Having a doctor available to treat you at all is still much better than having your very high standards and then not having a doctor available period.
> Given the popularity of bloatware such as Electron, Chrome

What fraction of Mac buyers buying these machines does that cover? If you stick to Safari and maybe Office, 8GB seems fine.
> But when people talk about "mental maps," I'm not entirely sure what they're talking about.

In the visual theater of my mind I can literally construct a top down view map and place myself in it dynamically. When I want to determine which exit to use, I use this mechanism and then route myself through it. It's something that /seems/ to turn on and off when I need to make the next turn decision, but if I've used it recently, it's easier to recall than it is the first time.

For a building, it's typically nailing down the elevator lobby's orientation with respect to the rest of the city around it, then building a smaller mental map from an individual floor that is also referenced to the lobby. If I need to think about how my desk is oriented to larger features in the city, I have to do two orientation and projection steps in my mind.

Anyways.. do you think visually or textually?
* Creator here - Thats the goal!
I have had a couple of scares driving at night, even doing my best imitation of a tree full of owls. Dark cars w/o taillights (and that happens way more often than I'd like) on a street with poor lighting (ditto) is the perfect recipe for a disaster. I don't know why people drive without lights, but they do, and it's a damn nightmare when you come across one.

Sometimes, you do everything right and the Universe tries to destroy you anyway.
That 17% includes Net cost of health insurance. So that would go down a lot with the profit taken out of it. Also expenditures would go down with price regulation and the system would also generate money from licensed medicines. Also the simplified billing and administration of a single insurance system would save a ton of money. Especially since a lot of the overhead in hospitals is admin. This simplified billing would let doctors have private practices again.

https://www.google.com/search?q=what+make+up+GDP+healthcare+...
Thanks for sharing that.

I've experienced this many times as I used to drive a lot at night. To me it was like half of my mind falling asleep while the other half followed the white line for hours. I used to drive close to 70k miles at night every year, all along the same routes, with no stimulation, just the white line. I know I wasn't asleep or tired, but it was like driving in a dream sometimes.

It is probably much, much more common than we know, and I think this state would completely fool the attention-tracking systems in self-driving cars.

What is worse, many people drive the same routes commercially every night, like sleeper coach drivers. I think if they even did so much as spoke about this, it could significantly harm their careers. So it's unlikely that this demographic that could be most affected will talk about it openly. But there is almost nothing you can do to prevent it. After a certain number of thousands of miles along the same route, seeing the same white line, for hours, in the dark, you zone out.

Another thing that's making it worse is that I could only ever catch myself in this state when I already did something irresponsible. Like I'd go past a speed limit sign without reacting, and in a couple of seconds my brain would wake up to say "hey, something is happening, let's pay attention again". Otherwise, it's almost impossible to catch your mind drifting gently away.

I'm happy to finally put a label to the experience.
The full solution is here: https://github.com/mas-bandwidth/udp/blob/main/001/README.md
IMHO, bluetooth is definitely not a core system for a desktop/laptop. Experience has taught me the bluetooth rune is an ancient symbol that means probably might work. There's no reason I would purchase a bluetooth perhipheral when a wired equivalent is available.

For a mobile phone, it's probably a core system; connecting to a car radio is an important use case. If wired android auto/car play includes hands free calling over usb, then that could be enough, and maybe bluetooth can be relegated to my history bin; but a lot of people like wireless earbuds.

As for WPA3, I dunno? Afaik, I've never needed that either, but my wifi is a bit old.
It's wild to me that we are talking about a site running on a single 2 core VPS costing $15/mo and the developer didn't stop to consider that maybe they don't need Kubernetes for this. Like...just run your damn services on the box like we've been doing since web hosting first became a thing.
Probably. But it was only a single command to get up a k3s node - not much difference in effort for a relatively low-workload, low-critical service.
And the pilot is quite likely to die in any fatal pilot error, so there's an element of self-interest in preventing pilot error.
I have. Longer shifts with fewer turn-overs results in better patient outcomes.
1. Scottish accents ...
2. See #1.
Self management could be expensive if it’s actually going to burn hours of dev time.

At teensy scale is k3s really gonna take much “management” after the bring-up? I don’t think so.

For a teensy team, it seems totally worth it to take a runway from 12 months to 40 months for the price of a few afternoon’s work.
~Two~ four things are/can be simultaneously true:

- 8GB is enough for the base model buyer. I did stuff that most consumers don't do on an 8GB M1 MBA like editing 4K video in Final Cut Pro and I didn't notice any performance issues. If you just want a computer that gets some work done and you're willing to refrain from being a huge Chrome tab hoarder, it's fine. It handles 10-30 tabs just fine and that should be enough for anyone.

- Apple shouldn't offer 8GB as the base model simply because the component cost of 16GB is incredibly trivial, and they're offering a product that works fine now but they know won't be sufficient in the near future. A $200 upgrade is completely unacceptable to get to 16GB because it's close to 10x the retail cost of a stick of 8GB DDR5 memory.

- The base model is a price anchor and Apple intends to upsell many/most buyers to their desired average selling price. This argument is just a dismissal of a persistent question that won't go away.

- The average buyer shouldn't stress out about this and just pretend the cost is higher. Just say to yourself "The MacBook Air 15" is $1699" and compare it with other computers on that basis. You'd be surprised at how competitive it is. E.g., compare to the XPS 14 16GB/512GB at the exact same price, very similar-performing processor/integrated graphics, with a lower resolution screen (you'd have to add another $300 to get something that is considered high DPI).

[1] I assume that the M series chips are cheaper for Apple. The fact that Apple's design is in-house and subsidized by sharing the design with the world's most popular smartphone should mean that they are saving a significant amount of cost compared to buying processors from Intel.
That does not really work since the only IO was the BIOS-provided one that was 1. synchronous and 2. really slow. If you tried to do that you'd just get insanely bad pauses.
I hear that you and your band have sold your guitars and bought turntables.
I hear that you and your band have sold your turntables and bought guitars.
... and that's because my immediate usecase thought is compressing node_modules
GCP is expensive even compared to Amazon and Azure. The only reason I really used it was because it was the cloud that I was used to (when employer was covering for the cost), and I kinda stuck with it.
To me, this rule looks like horoscope.

Is HTML+CSS+JS more powerful than React? Is Excel more powerful than C? One could argue either way.

The better rule is, perhaps, apply KISS to your architecture choice.

If I can reduce 100 lines of HTMX into 10 in React, I'd choose React. Because KISS. But according to the least powerful principle, and the author's claim that HTMX is less powerful, I should choose HTMX. Nah...
To back parent's point, students (including moddle/high school) have roughly the same requirements and can get by with iPads or chromebooks, sometimes with 4Gb(!) of RAM.

So I'd agree there's some non negligible amount of users that will be fine with the absolute most basic functioning computer.

The question could be why that user base would buy a Mac when they could get something way more cheaper and probably better adapted to their needs ? My answer would be they don't need to care about the money or utterly like macs, and it's their choice. It's still surprising Apple caters to those users though.
Some vehicles (like my Subaru) offer automatic emergency steering that can save you when there's not enough distance to brake. The Mach-e doesn't have that per my quick Google (they have some assisted thing but it requires manual steering)
It's probably only a few clicks to get a GKE cluster.

The point is that it's not really a fair comparison.
Absolutely spot on. Try running a couple of small containers or browsing some code docs online at the same time and you’ll be swapping.
Dano is a wrapper for FFmpeg that checksums the internal file streams
I could be wrong, but I've heard that the term originated in Smalltalk. Smalltalk is also image-based, and tree-shaking was a way to produce a smaller image for deploying.
I think this has to do with the BSD’s origins as extensions to AT&T Unix. AT&T Unix shipped with excellent documentation beyond man pages. In fact, some of this documentation was included with FreeBSD, alongside documentation written by key Berkeley people such as Marshall Kirk McKusick. (I don’t know if FreeBSD still ships with this original Unix documentation due to its age. I remember reading a lot of this nearly 20 years ago as a high school student during the days of FreeBSD 5):

https://docs-archive.freebsd.org/44doc/
GPT4 is better at responding to malformed, uninformative or poorly structured prompts. If you don't structure large prompts intelligently Claude can get confused about what you're asking for. That being said, with well formed prompts, Claude Opus tends to produce better output than GPT4. Claude is also more flexible and will provide longer answers, while ChatGPT/GPT4 tend to always sort of sound like themselves and produce short "stereotypical" answers.
I suspect that, after some point, making the qualifications stricter actually drives away many of the best candidates.
> Have you tried Claude, Gemini, etc?

> It’s the subtle things mostly, like intuiting intention.

this makes me wonder - what if the author "trained" himself onto chatgpt's "dialect"? How do we even detect that in ourselves?

and are we about to have "preferred_LLM wars" like we had "programming language wars" for the last 2 decades?
I've had situtions where I normally leave headlights on auto and service people turn them off and I don't immediately realize it.
For me, the main benefit of Kubernetes is declarative deployments. You can have the entire deployment automated through this and GitHub actions, without much fiddling with the production environment manually. I know, it's overkill and I don't like it that much either, but it's the industry standard.
I should write a blog about how I saved the same amount in absolute terms by turning off the stuff i forgot is running in the cloud.

Side note: the anime girls all over is kind strange. Like the header is giant cartoon tits? Why?
I predict a very hard time to CTOs once shareholders realize how money they are wasting on the cloud.
Promotion driven development.

Fwiw I’ve deployed services that could handle 30-50k rps on 1vcpu and 1gb ram. Like a couple bucks a month. It used ssd storage and only hit a main rdbms when there was a cache miss.

When I hear stories like this I’m reminded of how dumb and inefficient most organizations are. My colleagues would over engineer stuff so much and then leave a huge bill and mess behind. The primary reason was so their clueless eng manager would consider promoting them.
This is what's happening in Europe right now, if any of us could be bothered:

> Dead, but Pretty

https://www.youtube.com/watch?v=qCljI3cIObU
Despite the allegations here being ridiculous (how is this use humiliating?), i do not find necessarily absurd to ask for a small fee for commercial use.
Iconic works of art like this one belong to our collective heritage (not just the italian government). But while the use of their image should be left as free as possible, unlike a poem or a novel, they are also real objects that require constant, highly specialized manteinance and care that has non negligible costs.
Is not that crazy to ask companies who profit from them to contribute back a little, so that those money can help the institutions that take care of these and other works of art.
Stuff in the public domain sometimes also require the public to take care of them.
There are a few improvements I'd suggest with that prompt if you want to maximise its performance.

1. You're really asking for hallucinations here. Asking for factual data is very unreliable, and not what these models are strong at. I'm curious how close/far the results are from ground truth.

I would definitely bet that outside of the top 5, numbers would be wobbly and outside of top... 25?, even the ranking would be difficult to trust. Why not just get this from a more trustworthy source?[0]

2. Asking in French might, in my experience, give you results that are not as solid as asking in English. Unless you're asking for a creative task where the model might get confused with EN instructions requiring an FR result, it might be better to ask in EN. And you'll save tokens.

3. Providing the model with a rough example of your output JSON seems to perform better than describing the JSON in plan language.

[0]: https://fr.wikipedia.org/wiki/Liste_des_communes_de_France_l...
What's a symmetric cipher from the 70s that we can't brute force today?

(And I'm not counting "the idea" of 3DES when even that was after voyager already launched and it wasn't properly set up until 1981. Also 3DES has enough weaknesses that I wouldn't trust it to be uncrackable today.)
Dont you have it out of the box with some distros?
Crash Bandicoot: An Oral History
I had always thought Einstein was being jocular when he said he believed in the God of Spinoza, but his lifelong antipathy to QM points to a seriously held belief. My current understanding of Spinoza is that his God was equivalent to the laws of Physics + an initial state — that which generates the Universe, and conversely to study the Universe was to learn about God. In any case, Spinoza's universe evolved in a strictly determinate manner: like GR, but unlike QM.
Debian and RedHat link liblzma into SSH for systemd which OpenBSD doesn't use. So in the sense of there being a larger attack surface with those distros I guess you can consider it more secure, but it's not just OpenBSD though; there are plenty of Linux distros that don't do this either.
> A Google spokesperson told 9to5Google the Google One VPN is shutting down because "people simply weren’t using it."

My assumption about a Google VPN is that it would not protect my identity or internet usage from Google, who are one of the main entities I want to hide from with a VPN.
I have a hard time visualizing things when I'm fully awake. Ask me to picture my wife or my kids' faces, and I can't do it. I feel I can subconsiously visualize them with no problem, but as soon as a try to consciously do it, the picture disolves. Same with any fully awake visualization - can't quite see the image in my head - it's like it's in my peripheral vision but scoots away as soon as I look. But I can lucid dream, and do things like complex 3D mechanism design while lucid dreaming (that I can later turn concrete using CAD).

Anyway, I have no problem with navigation - I can look at a map, and navigate from the (non visualizable!) memory for ages (an hour if hiking, maybe several hours if driving), and pretty much always tell you where north is. But I still cannot bring the image of the map back into my conscious mind. The brain is a very weird thing indeed.
I know plenty of people who are at the age they should have learnt to navigate without phones and they still suck at direction.

It could just be a problem just like how 4% of the population have no ability to visualize mentally aka aphantasia
My old Toyota didn’t have an off either. I had to turn the car off once just to turn them off in a certain situation. That seems like an easy fix, like you mention. No reason to abandon them completely.

I had a 2016 VW with them and every time I took it to the dealer for service they’d turn them off and I’d have to set it back to auto. I’m sure it was done as part of their testing, but it seems like a horrible default state to set them back to.

I agree that some kind of warning when they are off, maybe a light on the dash, would be good.
> A lot of what you say is true for doctors in their first 5-10 years into their career, when employed in a hospital.

Then it's just semi-official hazing. It's still something that should be fixed.
> but it's the industry standard.

I strongly disagree with this statement. Even at the most bubbly of Silicon Valley events you will not see kubernetes for a smaller deployment be an industry standard.

It’s ok to make architectural mistakes, or otherwise over engineer a thing. We all do it. Let’s not standardize it.

And to your credit thank you for publishing this example as a learning opportunity to others.
"Dead code elimination" usually refers to smaller-scale compiler optimizations where within a function, you're discarding pieces of code that will never be reached.

"Tree-shaking" refers to a whole-program analysis where you discard entire modules and functions if they are never invoked.

They are conceptually the same, but a compiler author will likely have to implement them separately, so having two names helps.
It's not a style thing, Claude gets confused by poorly structured prompts. ChatGPT is a champ at understanding low information prompts, but with well written prompts Claude produces consistently better output.
Does this respect any anti AI related scraping rules set forth by website owners?
Honestly if I was gonna set up a CI (or some other system that wants to add and remove a lot of containers dynamically) on my home server I might consider adding k3s so it’s easier to install / manage / monitor.
https://gist.github.com/yoki/fd2a3642b059703529d158de8233bbc...
Instantaneous current can be pretty high as the compressor kicks in.
> ChatGPT/GPT4 tend to always sort of sound like themselves

Yes I've found Claude to be capable of writing closer to the instructions in the prompt, whereas ChatGPT feels obligated to do the classic LLM end to each sentence, "comma, gerund, platitude", allowing us to easily recognize the text as a GPT output (see what I did there?)
I’m pretty good navigating when I’m alone. If anyone else is in the car it’s like I’m on autopilot to “wherever my subconscious would like to go today.” So I use the GPS just to snap me out of it so I don’t miss turns.
As an SRE who’s moved between a few companies recently, I’ve noticed a trend towards simpler infrastructure options rather than k8s. Most places I interviewed at used AWS with just fleets of EC2s managed through ASG and instance refresh.

Deployments are no downtime. It’s pretty nice and if you want to run with docker on the host instances you can but you can also just install the application using systemd.
You can get declarative deployments via a systemd config. If you really want to use Docker then use a Compose file.

If jobs are what you are concerned about then I can assure you no company is skipping on software developers because they don't know Kubernetes syntax.
I have a personal writing app that uses the OpenAI models and this post is bang on. One of my learnings related to "Lesson 1: When it comes to prompts, less is more":

I was trying to build an intelligent search feature for my notes and asking ChatGPT to return structured JSON data. For example, I wanted to ask "give me all my notes that mention Haskell in the last 2 years that are marked as draft", and let Chat GPT figure out what to return. This only worked some of the time. Instead, I put my data in a SQLite database, sent ChatGPT the schema, and asked it to write a query to return what I wanted. That has worked much better.
BlueCruise hands free is truly hands free. You do not need to keep hands on the wheel at all. It can steer on its own and handle the throttle. It will not change lanes without the driver signaling. It just keeps going forward in its lane at the set speed subject to the car in front.

It uses the radar, GPS, laser highway maps, and the car’s camera system to do the driving.

There is a camera directly behind the wheel monitoring the driver at all times. You don’t need your hands on the wheel but if you look away for more than a few seconds it will disengage.

Also notice I mentioned laser highway mapping. It is only available on premapped divided highways that have no crossings, only on ramps and off ramps. Some areas will not be supported when they have otherwise would be due to a sharp bend or the number of cars entering and leaving the road there, or if the sensor data doesn’t match the maps (construction/etc).

I’d say it’s a very well designed system from a safety perspective. It does its best to ensure it only runs when it’s capable in areas pre-determined to be within its capabilities.

But it’s still level 2. The human has to be engaged.

If the car in front of it was driving like normal and swerved away from the stopped CRV late, the Ford wouldn’t have even known that CRV was there until the other car swerved out of the way. I’m not aware of any ADAS system that can interpret what a sudden swerve might mean. And no system has radar that can safely detect a stopped vehicle.

This is a situation it was never designed to handle and why the driver is required to pay attention the whole time.

If it was on at the time then either the human was paying attention and didn’t do anything or they had very recently looked away. Unfortunately at TX highway speeds a few seconds is a lot of ground.
I use AI-generated anime girls for article covers because I'm a weeb and it makes the rather-thick wall of text slightly more bearable.
Just buy a chromebook then?
There's not enough details here to say what she did right and you did wrong, but it generally comes down to her idea probably solved a problem customers were willing to pay a lot for today and your idea didn't.

If her idea was "when you pay me x, you get 3x back in new revenue" and your idea was a tarpit idea like "help people find what to eat tonight", it's really obvious why you failed.
The time investment here doesn’t really make sense to me. That 70% savings was actually only $33 a month.

Was it really worth spending that dev time and effort for such a small return rather than the product itself?

And yea now you get to manage your own cluster… thats an ongoing cost too, not free.