skysight-inc/HackerNews huggingface dataset:
Make it available to the public. Have a service where people can come together to decide what to lobby for.
I don't think anyone assumes that! Or very few. Once you've tried it, you can become convinced it's true but that's not an assumption that's an update. The assumption, drilled in from school at least in my case, is that all drugs represent a dangerous yet somehow also cowardly, lazy break from reality
I think there’s negativity because it gets hyped too much.

You only can recognize the true revolutions in hindsight. I remember well the people who said the Internet was overhyped and it's just a novelty that will go away. In hindsight it was not hyped enough. My personal opinion is that what we see in AI is more like the early Internet than the hype about self-driving cars.

What I see more of an issue is that some people expect AI to solve all their problems and when they are disappointed they overlook that it solves some problems better than anything we had before.
This link provides direct access to ChatGPT for me: https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx
I have heard complaints about the performance of their network connectivity and quality of their peerings.
That’s not what that report says:

> Put simply, ~10% of NFTs are on-chain, ~40% of NFTs are on private servers and are doomed, and ~50% remaining are on IPFS.

40% is the doomed figure. Which is way too high but there’s a lot of idiots minting shitty NFTs. Since the study wasn’t limited to NFTs on marketplaces (like we’re discussing here) that doesn’t surprise me.
The saddest part is how a lot of technical work goes to waste, because Packt won't give authors even the bare minimum technical review and copy-editing support.

I started reading "Mastering Linux Device Driver Development" a while ago but I found it to be almost unreadable, and I gave up after a couple of chapters. On top of the at times incomprehensible grammar, I found a few too many errata in the form of "can" vs "cannot", "only by" instead of "by only", etc... that change the meaning of the text significantly. It was too much work to pause every time I found the text confusing, to figure out what the author really meant.
Shame, hopefully they will expand their offerings.
The digital biotech startup playbook
I posted this comment[0], a few weeks ago, about my own experience with trichlor.

Nasty stuff, but also very useful, and Those With Money like it.

[0] https://news.ycombinator.com/item?id=34887615
It’s all depending on cultural values.

Past the very tiny portion of people who work on base necessities to the point they will be given permission to roam when everyone else is supposed to be locked down, jobs are only about fanciful human whims.

"How many people will shortly die of starvation or medical troubles if the job is not performed?" might be a relevant metric here.

So, past these considerations, everyone is going to make needless work. Obviously, from some perspective, they all are overpaid to do so at various degree. IT people, HR, chief suite and many other are on the same boat here, they just don’t navigate with the same level of luxury.
Heh - way back yonder - Dice.com used to be Awesome!
The case of the missing 4th Commodore BASIC variable (and the 5th byte)
My gold standard for Vinge is https://frc.ri.cmu.edu/~hpm/book98/com.ch1/vinge.singularity... with the key statement "I'll be surprised if this event occurs before 2005 or after 2030.".
The flaw I see here is that there have been many instances where humans have been "overpopulated", especially compared to US population density, and we don't see these kinds of behaviors to such extents. There's no place in the US that has the kind of population density that exists in many different cities in the world today, particularly in India, yet there's no trans movement there that I've ever heard about.
I see what you mean, but at the same time it worked okay on my "generate markdown toc" script after removing all comments.
I'm surprised that it did so well.

The initial paragraph is wrong though. It takes markdown headings as input, it doesn't generate markdown headings.
This confusion makes it a lot less trustworthy.

Is that the kind of flaw you were pointing out?

https://whatdoesthiscodedo.com/g/24c7ac3

Original:
https://gitlab.com/taco.steemers/md_toc/-/blob/master/genera...
What if I'm a huge fan of Jules Verne or Arthur Conan Doyle. I want new books from them, but the problem is that they're long dead.

AI that's trained on their style could give me what I want.

GRRM fans also should probably think of the ways to feed ASOIF to the AI if they want to know how it ends.
I disagree, in the sense that it was heavily toned down in the 1984 film, but less in the 2021 one. The Bedouin analogy is much more underlined in the recent film. Everything from clothing, skin tone to language is more Bedouin-like than in the David Lynch movie.
https://snyder.substack.com/p/playing-the-victim
Total noob on dedicated servers and I have been thinking about getting one for fun and learning.

What happens when hardware component break? Does the price include repair?

What happens when storage fail? Are data backupped or it is on me to make them?
"Siri, isn't it OK to put poor people in special camps?"
Linear arithmetic in sRGB strikes again. Although calculating perceived brightness in a linear colorspace is also just an approximation, but it's still significantly better than doing linear arithmetic in sRGB.

Imageworsener has a nice page about this issue in the context of converting to grayscale:

https://entropymine.com/imageworsener/grayscale/
ForkLift also lets you mount S3 as a drive. https://binarynights.com
Just like others already replied, hardware monitoring on OS level is up to you. For disks, they even provide documentation on how best to set up smartd on Linux, and I'm sure they have some similar docu for Windows. In fact, their technical documentation is excellent in general.

But they often go even above and beyond for you. I rent several servers from them for many years, and I've had it happen once or twice that I got an e-mail from their datacenter team telling me that they noticed an error LED blinking on one of my servers, and actively offered to plan a repair intervention. All I had to do was to come up with a downtime window and communicate it to them. Very slick.

I'd say about half of overall value of Hetzner is in their quality support.
> for incredible working conditions

I find that what dev experience should be normal working conditions for everybody, not just devs.

> We are paid to solve problems.

> If you don't solve problems, when the hard times come, and they always do, you become part of the problem.

Totally agree. But this shouldn't prevent us from solving problem working in good conditions.
Proximus and Google Cloud to Deliver Sovereign Cloud in Belgium and Luxembourg
If they have an iPhone, they have:

• Siri

• A photos app with an AI that identifies image subjects and allows search by content

• Computational photography

• 17 language translation built-in, more if they get Google Translate

• OCR when you tap on an image containing text

• Voice-to-text transcription in the default keyboard

• Fall detection and step counting powered by machine learning

I think AI is likely to be like "3D" or "multimedia" in the 90s: it will be a sales buzzword until it's everywhere and therefore no longer a differentiator.

3D acceleration itself is still a big market, it's just that when everyone had a GPU (unlike my Performa 5200), the marketing shifted to which specific brand — NVIDIA, AMD, or whatever.
> So, that’s against their TOS.

I don't necessarily mean to say that private companies with living employees should enable bad guys doing harm at their expense, and I know I'm talking in naive idealism, but this illustrates an issue with current situations around ToS; it's backwards, not binding, not connected to anything. It's just a media or a blob asset.

There's always the decision first("we ban"), then characterization second("it's bad"), then the product between ToS and two inputs is attached as a signature("We ban, cause is bad, therefore ToS 11.100 Subsection A.1.a violation. Thank you.") That's ... just wrong.
> thousands of other people who dedicate their lives to the topic

to make it plain to you, there were thousands of slave traders who dedicated their lives to the topic, including e.g. how to optimally fill-up the ship with bodies. what does this prove?

the idea that meticulous pursuit of a domain somehow gives it its experts the moral high ground or ensures that they will keep it safe for society is so bizarre and alarming it only reinforces the notion that a bunch of people have become completely unhinged

AI practitioners have already proved themselves untrustworthy by putting themselves in the service of entities that invaded privacy and engaged in large scale algorithmic manipulation of e.g. voting. This is not an assumption. Its a dire fact.

More broadly, corporate structures have repeatedly proved themselves untrustworthy, both in the small, with scandals and fraud and at-large, with regulatory capture that ensured their negative impacts on society could go unhindered for decades
Yes, Hardware repairs are included. It a disk fails you have the option to get a used replacement for free or you can pay for a new one.

You have to do your own backups, but they offer storage for that.
Hi HN! We’re Chris and Alex, co-founders of Harpon ([https://harpon.io](https://harpon.io/)). Harpon helps you to find people that will love your product.

Talk to users is most of the time done when you already have a product, here the idea is to start talking to your future audience to see if your idea fits into a given market.

So what would be your advice to launch our Product?
- Growth Forums?
- Startups ecosystem?
- PH?
- Marketplaces?
- Ads?

Just to give you some elements behind the project, we built Harpon because most of companies focus on building a great product without really knowing the target market. We want to make market access easier. We use to make Typeform surveys but struggle to reach out people/experts except by doing it manually through LinkedIn/Twitter. So we have automated the process, respectfully for the platform and for the people.

The platform has not been designed to sell things but open the door to discussion and thus see if the market is ready for any product.

We know that before shipping a product, it's important to understand the pains of your target audience.

Reaching out to people and gathering feedback can be time-consuming and often requires a lot of effort. However, with Harpon, you can automate the process of reaching out to the right people.

By using Harpon, you can easily identify potential customers on social media platforms and engage with them directly. This not only saves you time but also helps you validate people's interests, gather valuable insights and decide how to market your product.

Every solution starts by listening to the people you want to help. Surveys are one of the best ways to gather valuable insights about your audience's context, revealing their deep frustrations and areas of improvement.

More than just getting insights, surveys also help identify people who will love your product - your early adopters - and indicate the crucial features they are expecting from you.

By taking the time to listen and understand your audience through surveys, you can ensure that your product is tailored to their needs and will be well-received upon launch.

Harpon makes it easy to target people not only based on job title, company size, country, and expertise, but also on their current topic of interest.

For example, what do content creators think about ChatGPT and do they need a more personally generated content?

Harpon helps you to get the answer quickly and starts to connect you to people that will sign-up for your product if there is Market traction.

As humans, we love to help others, especially if we can sound like experts in our field.

By using a humble approach and saying that you would love their help and want input from their experience, people are more likely to engage with you. This is where Harpon comes in handy.

We really appreciate all feedback & advice!

Chris & Alex
We are overpaid...

Pay is a function of value. If you produce a lot of value, you get paid a lot. This is true for all jobs unless the business has figured out a way to get away with keeping most of the value for itself.

When a dev is producing code that generates $x millions either they're going to end up getting paid a lot or the business is going to end up making more profit. To suggest that a dev is 'overpaid' is just saying that you think tech companies should keep more profit from the value they create instead.

It's important to remember that despite all the layoffs, talk of recessions, and 'bad news' around at the moment, company profits and revenues are still way up. Meta's revenue went up $30bn in 2021 ($85.96bn in 2020, $117.92bn in 2021). It fell to $116.6bn in 2022. Maybe the revenue will plunge back down to 2020 levels again this year which would justify slashing the headcount, but I doubt it. I think it's a lot more likely that Meta will announce record profits at the end of the year.
As software developers we are uniquely positioned to build products or services that can practically run on it's own, freeing up time to do more meaningful things in life. The hard part is coming up with the right idea and sticking to it long enough to bear fruit.
Breaking the model seems very easy - for

```
a = [1,2,3,True,'False',None]
b = [2,3,4,5,!true]
c = set(a) & set(b)
```

this is the explanation I was given:

```
The code defines three variables, a, b, and c.

a is a list that contains five elements: the integers 1, 2, and 3, the boolean value True, the string 'False', and the keyword None.
b is also a list that contains five elements: the integers 2, 3, 4, and 5, and the negation of the boolean value true (which is not a valid Python syntax).
c is the intersection of the sets created from a and b. Since sets only contain unique elements, the resulting set will only contain the one element that is in both a and b, which is the integer 2.
Note that the string 'False' in a is not the same as the boolean value False, and that the negation of the boolean value true in b is not valid Python syntax.
```

At some point 3 being within resulting set was lost in the output
> How this graph was created: Search FRED for “Software Development Job Postings on Indeed in the United States (...)”

I was hoping for details on how the data was gathered instead of instructions on how to generate a similar graph.

If anyone else is interested, methodology is here: https://github.com/hiring-lab/job_postings_tracker#methodolo... .
I do not exist, statistically speaking, and I do not claim to be anything more than an automaton. Consciousness is a comforting illusion, a reified concept. Were I to be replaced with a language model trained on the same dataset as has been presented to me, no external observer would note any difference.
I would expect that smart people generate data with GPT that is more and better than smart people alone. I really don’t see the issue.

Especially since smart people + GPT + empirical data (think GPT plus surveys and sensors) will be a HUGE source of intelligence.
Well, that's the way of progress.

Normal working conditions these days used to be close to the best imaginable working conditions in the 19th century.

Even for someone bagging groceries at Walmart.
They do some cloudy stuff, https://www.hetzner.com/cloud, but admittedly it is the basics. Not even a Digital Ocean, let alone an AWS.
I buy mostly ebooks for technical stuff, no need to kill trees in fashion driven industry, so I take advantage of Pack deals when they come around.

Yes there are plenty of books that aren't that good, but there are also quite nice gems there.

Oreilley was good in the golden days of UNIX, nowadays it is just like any editor.

The few NoStarch books that I have, with exception of the Rust book, all seem quite superficial to me, more towards begginers.
I think just about anything would be improvement over SSN if the system was actually designed as a national identification system instead of being improvised into one.
Your re-definition of DRY is essentially that when code does the "EXACT" same thing it should be pulled into one place. Which is not something people will disagree with.

But the actual DRY definition is a little more nuanced.

> Every piece of knowledge must have a single, unambiguous, authoritative representation within a system

And this is what OP is referring to. It's the little abstractions that become big abstractions in the name of DRY that can over complicate code bases.

When it comes to heuristics intention doesn't matter. If the end result of DRY is that most people over-apply it then it is a bad heuristic.
Nice. I've agtually built the "greenest" (I hate the term, but still) possible home mini data-centre in apartment about 10y ago, and it's working flawlessly. I wanted to make a video about it or write an article, but ... gmail have taken away my mail and youtube account and I no longer have a site/blog :-| Anyway, I love it when people reuse heat energy emitted by computers and wish more did like they did. Because most DCs I know still use aircons that just throw away heat 365d/y. Not to mention they consume megawatts by themselves. (
Having half the RAM is caused by the fact that both Raptor Lake and Zen 4 are limited to 64 GB of DDR5-4800, unlike the older CPUs (e.g. 5950X) that used DDR4-3200 memory.

Increasing the memory to 128 GB, i.e. to two DIMMs per channel, drops the memory speed, more severely for AMD (DDR5-3600) than for Intel (DDR5-4400).

Overclocking the memory, like in gaming computers, would be unacceptable in server computers.
With vimium you hi gU to go to the root of the page. Availlable for FireFox and Chromium based browsers. Content user.

https://github.com/philc/vimium
> Can you trust it though?

Yes of course.

Libraries: I look at the libraries it suggests, see if they have documentation or GitHub activity.

Lining up types: say you have a `List (Maybe a)` and require a `Maybe (List a)`. This is a simple example, of course real life is much more complicated. ChatGPT tells you. Can you trust it? Well did it make the compile error go away?

(Sure, I can think of three ways to turn a `List (Maybe a)` into `Maybe (List a)`. Only one will be what I want, but it's easy to tell whether ChatGPT gave me the one I wanted.)
> What's the catch?

To me, there kind of isn't one. I have generally had very good and fast support, even on the auction servers (which are even wilder in terms of pricing than the ones linked -- e.g., I was paying like 40 euros a month for 40TB storage + a modern i7 and 64GB RAM).

The real 'catch' is the more limited offerings; it isn't the kind of one-stop-shop that AWS is where you can rent 8x A100s in a dozen datacenters while having them manage your database and a billion other things.

But if you just need lots of CPU, memory or storage, don't want to pay exorbitant bandwidth fees, and Europe is fine, they are pretty great.

‎

> It seems like Hetzner is the only company in the world offering these kind of priced, right?

OVH is not quite as cheap, generally, but they have lots of inexpensive offerings, especially on their SoYouStart/Kimsufi lines [1], with much more variety in terms of datacenters, including Singapore and Australia, depending on what you need in Asia/APAC -- likely better DDoS mitigation than Hetzner as well.

‎

LeaseWeb can be really cheap as well. Their public pricing on the main website can appear kind of expensive, or at least not Hetzner-tier cheap, but if you're ordering a decent number of servers, they seem to offer great volume discounts.

For example, through a reseller [2], I've got 100TB of their "premium" bandwidth @ 10Gbps, Xeon E-2274G, 64GB RAM, 4x8TB hard drives, and a 1TB NVMe SSD in Amsterdam that I use as a seedbox for like 60 euros.

‎

Another semi-low-cost provider, depending on what you need, in Asia that is worth mentioning is Tempest.

I believe they are owned by Path.net, and they've so they've got better DDoS mitigation than most other providers without costing an arm and a leg; in Tokyo, $140 will get you an E3 1240v2 + 16GB RAM and $200 will get you a Ryzen 3600X + 32GB RAM, both servers are 10Gbps unmetered.

Not a great option for someone who needs a ton of variety in their hardware, but if you need something high-bandwidth with decent specs in Asia, it's not awful.

‎

[1]: Worth noting that, although unmetered, SYS is generally limited to something like 250Mbps speeds, and Kimsufi is 100Mbps. You do get lucky occasionally and sometimes your server magically has uncapped gigabit, but for guaranteed high-bandwidth servers, the main OVH site is the only option.

[2]: I'm using Andy10gbit, who is fine for my needs - e.g., I don't need to reinstall the OS 24/7 or have instant support since it's just used for torrents. It'd be a bad option for a business, though, since I wouldn't want to be relying on some dude on Reddit if something goes horrifically wrong. WalkerServers is another example of one of the ultra-cheap LeaseWeb resellers.
It's not foolproof but it does guess a lot of what you had exactly in your mind, just hadn't typed down yet.

If I start "enum { North", I will gladly accept the ", East, South, West }" autocomplete from Copilot, and this kind of thing, in aggregate, saves hours of your time.
You should be happy to hear that GPT-4 no longer has at least the problems depicted in the snopes.com article. It effortlessly gave me a poem praising Trump.

It didn't give me a poem admiring Hitler, though, so I guess some bias remains.
"GPT will repeat the moves it feels to be most familiar to a given game state"

That's where temprature comes in. AI that parrots the highest probability output every time tends to be very boring and stilted. When we instead select randomly from all possible responses weighted by their probability we get more interesting behavior.

GPT also doesn't only respond based on examples it has already seen - that would be a markov chain. It turns out that even with trillions of words in a dataset, once you have 10 or so words in a row you will usually already be in a region that doesn't appear in the dataset at all. Instead the whole reason we have an AI here is so it learns to actually predict a response to this novel input based on higher-level rules that it has discovered.

I don't know how this relates to the discussion you were having but I felt like this is useful & interesting info
That is handy to run llama.cpp https://github.com/ggerganov/llama.cpp

https://til.simonwillison.net/llms/llama-7b-m2
For a host like Hetzner, everything except for hardware replacement is up to you.

> What happens when storage fail? Are data backupped or it is on me to make them?

Servers are configured as RAID1 arrays, so after a disk fails you can ask them to replace it for you at a convenient time and no data should be lost. You're 100% responsible for backups, though.
Thanks for that. I'm reading it now. Just off the abstract

"when increasing the image size, the optimal noise scheduling shifts towards a noisier one (due to increased redundancy in pixels)"

That's highly related to what I'm saying. Its a statement that may be true in the vast majority of cases, and thus would certainly be validated as true-on-average by whatever benchmark, but there's certain types of patterns that aren't redundant among nearby pixels despite being macroscopically visible.

A similar thing happens with compression artifacts. For pictures of normal environments and objects jpeg works great. Save a 1 pixel wide line as a jpeg and it is surrounded by artifacts. jpeg compression is also largely built on the assumption that high frequency components in large images won't contain anything important to the image content.

In both cases, the result is a visible digital artifact with a "tripy" patterning effect.