skysight-inc/HackerNews huggingface dataset:
> This was surprising to read. Generally I feel like engineers want to do the right thing, but are pressured into short term kludges by management.

I would say many of the time engineers don't want to do something it's a better solution but they'll claim some technical reason why their way is better.

A good example of this is, I was working on a geo search api endpoint that had to work with the TPEG specs. The system was powered by AWS Lambda, which can scale, Elasticsearch which can scale, redis which can scale, etc. The system couldn't scale. It fell on it's ass at 500 requests per second. The part that fell on it's ass was Elasticsearch. Realistically, at 500 reads per second you know it's not really elasticsearch's fault but a data model problem. These are literally excuses that were given:

* "We shouldn't do those kinds of searches because they don't scale." - We were contractually obligated to do this search with a 2 million eur penalty fee if we didn't.

* "The issue is we're returning too much data" - We weren't having timeout issue, we were having issues with running out of CPU.

* "We should hire an elasticsearch consultant to solve it" - We should be able to make Elasticsearch go more than 1% of it's benchmarks. Which when Elasticsearch's benchmarks were brought up "Benchmark's are designed in a certain way to scale" - Which is true when you're getting 20k and they're getting 30k. But when you get 500 and they get 50k - yea that isn't standing up.

* "The scale is too much. We'll need to serve millions of requests per second at their highest scale. And no one can do that." - Basically, trying to bamboozle non techies, mixing up database reads with end user requests. It's literally so easy with Elasticsearch you can't even find a blog post on it because it's not worth bragging about. YOu can find people talking about 1 million writes per second tho.

The problem was ignored until the point we almost got sued and looked really bad to our biggest customer. This caused all sorts of issues for everyone. All because they didn't want to do the hardwork of figuring out how to build a data model that can scale easily. They ened up spending 30k a month on elasticsearch clusters from AWS to get 500 requests per second. They needed something like 196 CPUS and terrabytes of RAM to serve 500 requests per second of data that was 2-3MB RAW but 150 KB compressed. While on the surface it could appear like they wanted to do a good job, the reality was this was one of many areas that were too difficult for them to deal with so they didn't want to solve it. And people will say that's just a bad team, I've seen that repeatedly. People shy away from the hard to do things.
What would you watch? Like cable television or streaming services?
Analog Chess
Yes - if the core innovations in ChatGPT hadn't came with the base GPT-3 model, we'd see that too.

Just imagine if they had released a model which transformed a page of search engine result snippets into the answers ChatGPT gives today, where it'll prefix with "There are many issues to consider" and formulate a complete response combining information.

This - reinforcement learning from human feedback - is truly what has changed in ChatGPT vs what came before. And combined with the chat interface - our native way to communicate - that has toppled human imagination into the "pleasant" zone.

But if this had been released and needed to be ran for each response first on a page of results, without the underlying giant LLM - we wouldn't be nearly as impressed.

A veneer and a person with a dentists gown, don't make a dentist. But the veneer makes the gown palatable.
Prior events:

1a: Dungeons and Dragons’ new license tightens its grip on competition: https://news.ycombinator.com/item?id=34264777 - Jan 2023 (203 comments)

1b: Wizards of the Coast Trying to Retroactively Cancel OGL 1.0a: https://news.ycombinator.com/item?id=34271687 - Jan 2023 (233 comments)

2: An Open Letter on the Open Gaming License, to Wizards of the Coast: https://news.ycombinator.com/item?id=34314448 - Jan 2023 (356 comments)

3: Paizo announces system neutral OpenRPG license: https://news.ycombinator.com/item?id=34363991 - Jan 2023 (58 comments)
"Coming 2023 for US" — perhaps the result of a non-native [human] English speaker/writer?
StarLink is the right out of the book case for VC investment. One should expect several years before it gets profitable, and with very large initial investment. It's also very difficult to replicate, so whatever market there is there is a high likelihood for it to capture.

That means that it should be judged like a startup. Did it demonstrate a market? If so, it's valuable, if not, it's not. Current cash flow isn't very relevant.
The poster most likely thinks that communism/socialism are utopia producing methodologies that have never been tried for real and all evils are because capitalism.
Ask ChatGPT to write a children's story and it'll give you a pretty decent children's story. Ask it to write a story about XYZ and it will give you a story about XYZ. Ask ChatGPT to write a story in a language it doesn't know and it'll explain to you in that language why it can't write a story in that language using that language in a grammatically correct fashion.

It can do haikus and write song lyrics as well.

That's something that some huge percentage of humans are unable to do. Whether it's intelligent or not is as useless as asking if people are intelligent or not.
The benefit over Next Js would be small bundle sizes?
Interesting point, but there's a lot of use cases where chat bots still need some novel data, like your "earnings report of Foocorp in Q4 2013" example. So maybe we end up with [smaller] sites of raw data for bots to digest when someone wants a readable form of it.

Frankly that might be better then everything being wrapped up in prose.
In Gamecube modding it is common to cut apart a Wii motherboard. Would it be possible to create a split keyboard by cutting apart multiple cheap full keyboards?
It depends on how do you define software engineering? For me, software engineering is what allows us to do programming on scale. Programming is sure fun, but on its own, its very hard to scale beyond one person. If you want to distribute and delegate tasks, you'd need software engineering.
> Those are mutually excluding things, like a man abducting a child having the child’s best interest in mind.

This is possibly a bad example; the overwhelming majority of "kidnappings" of children are by one parent as a result of a dispute with the other parent. In that case, the "abducting" parent might well have (and almost certainly think they have) the best interests of the child in mind (never mind that the other parent and/or the state apparatus might disagree).
Well, yes, obviously. Why did you think he had all those weird defenders on Twitter? That's why they had to build those cars in a tent; factory was being used for horse payment logistics purposes.
Neither infra nor algo are “acronyms”.

Webster’s defines an acronym as “a word (such as NATO, radar, or laser) formed from the initial letter or letters of each of the successive parts or major parts of a compound term”.

It’s a huge pet peeve, as someone between roles, when folks are imprecise in their terminology, especially if it’s a role that will involve writing code rather than say, being a penetration tester…

(Things like… that… require *lateral thinking*, not precision.)
They are still the among the safest with the only viable charging network infra. It will be years before there is a viable competitor at scale, and the lower they go in price the more they guarantee that.
Do you hate catering but love cooking?
Maybe not admin tools, but at least functionality so that users can unf*k themselves. I've worked on projects where adding information was the feature, but updating or deleting it was "nice to have".

After a couple of months, constant requests coming in to developers for changing or delete users information, but still no prioritization of such features. Directly in db ofc, since no tooling.
Most people can't afford top talent to play live music at their wedding or photograph it.
Private jet emissions quadrupled during Davos 2022
It's already clear that existing LLM have the ability to do things that were previously only accessible to people with "human learning/education."

"Production of content" can probably go a lot further than you think, for a model that has internet/API access.

Would love to see more warrants on the claims you are making - feel like you haven't fleshed it out enough in this comment.
Did you look at the Digital Market's Act? It's not at all going to be allowing 3rd party clients for services lol.

This is more than a stretch of interpretation, it's wishful thinking.
Naming your app as a portmanteau of two trademarked brand names is certainly brave!
"To win, you simply need to capture the opponent's king. This is mainly because stalemate is basically impossible, as the king can always move an infintesimal amount, and also because implementing check/checkmate would destroy the last ounce of sanity I have left."
> It will cause our communication skills to further atrophy.

Last week the dude next to me in the train asked chatgpt to generate a "good morning message" for his gf and sent it verbatim to her.

At the same time he was working on what looked like a work related slide presentation, 90% of it was filled with chatgpt answers
Quote of the day: "Of course, Elon can stay irrational much longer than I can remain solvent."
I am not a doctor - I just write code... I remember being up in arms about weird stuff in my food when I first heard about it but now I think about the wellbeing of the animals while they're alive and shit, man, if I were sick I'd want antibiotics too. When is it excessive? Is it because they're all so close together in the factory "farm"? What do the veterinarians say about this?
GPT-3 and ChatGPT: Disrupting LegalTech?
Setting Goals for the Year? First Ask These Three Questions
Dunno, may just be the opposite that happens in the long term. The cheaper it becomes to produce content spam the further the traffic becomes diluted and the smaller each individual spammers' profit margins become. The very same discovery issues that plague human-created content is also in the end harmful to spam content.

Google is overall a pretty bad benchmark IMO. There's a lot of quality content that they seem to struggle to find. Not that it doesn't exist, you just won't find it for a host of complex reasons.
I always found it funny that where I worked we were doing Agile (without knowing it by that name) until the "Agile" Kool-aid was drank, at which time processes started to trump people.
I think as the pool of knowledge balloons exponentially in size it becomes nearly impossible for a doctor to be familiar with all of it, so their only choice is to deeply specialize in one field and limit the breadth of patients they can treat (also becoming less knowledgeable about anything unrelated to their field), or they must be incredibly general and have only surface level knowledge of everything. 100 years ago a few years of study could teach you nearly everything there was to know in the medical field at the time. The expanding pool of knowledge also makes it harder to determine which knowledge is actually helpful to take in.

I think this is an area where technology can help. The best primary care providers I've had have been the ones who aren't afraid to look things up as we're talking about them. I think better tools to aggregate the cutting edge of medical knowledge would help greatly.
I helped a guy who wasn't good at english send emails in a previous job. It was conflicting, because with automation we're removing trials from our lives that convey how much mastery we have in given areas.

One of the heaviest consequences of AI proliferation is that the value of understanding will continue to plummet, while the value of asking for help and delegating will rise.

This is all fine as long as there are plenty of willing subordinates, man or machine, to do the dirty work of actually knowing things for you, but what happens when they wise up to the fact that they're getting the short end of the stick?
If you run the density backwards far enough, eventually everything in the visible universe is effectively at a single point, in some theories this was modeled as an actual infinite singularity, but it’s quite possibly unknowable since our first evidence is the CMB 380k years into the whole thing. As we rewind time from there things being to get highly speculative.
Very valid nickpick. Thanks, I had no idea.
50% of both US and global pregnancies are unintended.

Back out the total fertility rate if those unintended pregnancies don’t occur. To cheat a bit, I’ll share the US is at 1.6.

https://www.guttmacher.org/sites/default/files/factsheet/fb-...

https://www.unfpa.org/press/nearly-half-all-pregnancies-are-...
https://aia.mit.edu/about/ has programs for volunteers from active duty.
you are free to not use the technology. the luddites went burning down other people's factories, so not super surprising to me that the state responded with force.
The problem with a lot of these tools is there is no incremental escape hatch. I had 25,000 tabs last year which I saved as a line delimited text file.

Then every day I automate opening 7 tabs and I force myself to get through them. Sometimes it takes 2 minutes, sometimes it takes an hour. Sometimes it ends with me adding 50 more links to the text file. Sometimes the tabs are garbage but often they are worthwhile.

https://github.com/chapmanjacobd/computer/blob/main/.config/...

https://github.com/chapmanjacobd/computer/blob/main/.config/...

But over the past year I've gone through 2,555 tabs! So it seems like it is working. Maybe in 10 years I'll reach tab zero
> So what do we do with all the middle class human bs generators today

Funny that bullshitting was the easiest job to automate to perfection. But now everyone can spin up their AI bullshit operation. Anti-bullshit AI would be very valuable in this situation.
First paragraph, all true or at least reasonable.

If a corporation was considering a direction where they knew this would be the case ahead of time, there is no conflict or disagreement possible that this direction should not be taken, even if it would decrease shareholder value.

This is not true, you presuppose that people want to avoid the destruction of society or extinction of humans at some point in the future. Many - probably most - people would not want society to collapse or humans to go extinct during their lifetime, or that of their children or grandchildren, but the further those events are in the future, the more likely many are to prefer some gain now over some loss far in the future that does not affect them personally.

You have decided for you that those catastrophic future costs have to be avoided and that you are willing to incur some cost for that now, but that does not make it true for everyone. Your position is essentially that your utility function is more reasonable than that of people preferring to make some money now over decreasing the probability or severity of some future event and therefore everyone should adopt or be forced to adopt your utility function.
> Yet when AI learned to wash dishes

A pump, a motor and a timer
Interesting. What is the mechanism of action that could be causing this? Are other antibiotics safer in this regard? What are the most commonly used antibiotics?

Extremely sorry for your loss
No. People are, if anything, underestimating GPT pretty significantly at this point.

The entire conversation always involves this endless spiel about how GPT is just generating plausible-sounding text and doesn't "really understand" anything. This is not really true, but the larger problem is that it's often left as a purely philosophical point with infinitely high goalposts. What would an AI need to be able to do for people to deem it has this magical property of "really understanding" something? This is often left unexplained, in the sense that it is truly debatable if AI can every "really understand" stuff and... blah blah blah. It's a low-information discussion, in my view.

But GPT really does "understand" stuff in the sense that it does form an internal representation of ideas and concepts in its own latent space, and this is robust to a wide variety of transformations such as variations in wording. It is able to translate between different realizations of the same idea by expressing that idea in different ways: written in English in different styles, written in other languages, rapping; it can even "write a song in object-oriented Python" if you ask it to, and it will do it, and then be able to translate that to an English-language song that rhymes with the same meaning. The fact that it has a many-to-one representation of realizations to vectors in its latent space would seem to be a really good way to quantify what "understanding" means, and that is what GPT is doing.

I think as time goes on, we will get a "human of the gaps" phenomenon with these models.
Tesla drops prices up to 20 percent in attempt to drive sales
I've been getting the advice (but I'm learning German, not Japanese) that the best thing is to watch shows with subtitles in the foreign language to gradually acquire it.
You should have asked to go remote and avoid the state taxes.
AFAIK game pass is losing money at the moment and is still in the "pay a premium to get content on the platform" phase. They haven't switched to the Spotify "screw the content providers" phase yet.
Not Blink the most dystopian iOS SSH client ever?
I understand that you would prefer to sound like a native speaker. This is a perspective I've heard from others over the last few weeks too, so I've been considering it. Your writing is fine; the original version is perfectly understandable on its own.

The thing is... the only time that grammatical mistakes actually matter is when they make meaning ambiguous. And since ChatGPT doesn't know what you meant, I would be more worried that it would further distort any mistakes in that area.
Sometimew people really don't have a choice.

I personally hate debt and when possible I pay everything with cash up front.

My wife got pregnant, and our spending, specially on health was already sky high, so I did 5 months of overtime chasing a promised raise and possible promotion.

Then I got fired.

My last day of work was mid December. Child will be born soon. (Maybe even today, we are hoping for natural birth).

The medical crew we hired (back when I had a job and was chasing that promotion) want way more money than what I have left.

I will have to take a loan, because as far as I know I can't tell the baby to wait until I have a new job before coming out of the womb...

Need clothes, medicine, furniture, prepare the house (it is my first child, house is not kid friendly)

Also: I erased most of my savings buying a "cool" car and of course a lot of people criticized me for it.

What happened was:

1. My house is on the top of a huge hill in an rural area, only way to reach the house in practice is with a powerful car. The car I had before was barely powerful enough, if there was more people in the car it would fail to climb the hill.

2. Someone totalled the car I had, and my wife job was literally in another city, her workplace also in middle of nowhere.

3. I needed a new car urgently, options were: cheapest European or US cars were double the money I had saved. Asian cars (like Hyundai and Chinese ones) were 1.5 the money I had, but weaker that the totalled car, they certainly wouldn't climb the hill.

4. So I bought a used Mitsubishi Lancer. It is a cool flashy car? Yes it is. But it was 100% my savings (instead of 200%), powerful enough to climb the hill, and big enough to fit baby chair and all the stuff a baby needs. The corolla or the civic, used, were 200% my savings, new were 300% my savings.
If you could bring race into it somehow then yes the statement might seem more based in historical precedence, rather than some idealistic fantasy world of hyper diversity, assuming most unhappily married men are also white.
And in return I can get subtitles on literally everything I want now instead of hoping the creator added them. I have no doubt that some places that were paying for transcription decided to go to AI/ML route but for every 1-2 of those there have have to be thousands of examples of subtitles existing where they never would have before.

I always have YT's subtitles turned on and while they aren't perfect they are way better than the alternative (none).

Network/Streaming TV/Movies should absolutely be paying someone to, at a minimum, clean up the first pass by AI and we should demand that but I'm not at all ready to throw the baby out with the bathwater.
i read the three-body problem in chinese, but didn't read the translation. my impression was that liu cixin's writing isn't very literary - he rarely uses rhetorical flourishes or idiomatic expressions, and his vocabulary is very simple outside of technical language. however, it's very straightforward and accessible.

someone else i know described the novel as 'clearly written by an engineer rather than a humanities student,' and i think i'd agree with that description.
Placed it really well! Ultimately, it comes down to the business model. Streaming is very capital intensive and requires more tech built out, both from us and the devs (adding barriers to entry to MagnaPlay).
Streaming is definitely going to be something of the future, we just don't think it is 100% there yet, costs still need to drop a bit further.
Why would that group of people have an easier time maintaining a marriage than "average" people?
It happens whenever the app reloads. If you swipe up (on iOS) to quit the app and then re-open it, you'll see it start off on For You.
Wow. There is clearly a fine line between genius and madness.
It fixed some things (“ChatGPT have”, “It’s has”) but changed the meaning of the first sentence and introduced a misplaced modifier (“As a non-native English speaker, ChatGPT…”).
I recently set this up (on debian) for an embedded linux project. Using this I was able to mount an image within a chroot and manipulate it using the target's system commands and run both the executable and unit tests for the target processor on my PC.

It is pretty amazing productivity-wise.
It's far from that simple.

US farms are also subsidised. Maybe to a lesser extent than the EU but it's significant.

There are plenty of farms in the EU that house animals permanantly. I can't speak as to the differences in conditions between US and EU regulations regarding animal housing.

It's not at all clear that banning indiscriminate antibiotic use in the US would render farms financially unviable. There are significant trade barriers that mean that meat producers are somewhat insulated from world competition.

There would probably be a rise in the price of meat, but how significant is hard to say - there may be some research done on this, maybe not.
I don't believe that meat in the EU is significantly more expensive than in the US
Show HN: Build a Planner – a planner printout PDF generator
Hey everyone :)

I hope you all had a good start into the year! There's still a good deal of people like my wife that love and use paper planners to track their schedule, habits, or enjoy bullet journaling in them. So end of year my wife needed a new inlet for her planner again but couldn't find something online - she had ideas on layouts and made the designs and stuff and my engineering brain of course wanted to build a nice configurator for that :D

Hence Build a Planner was born and is the first side project I actually managed to finish fully in quite some time... it provides quite a bit of configuration options on how you want your planner to look like and actually gives previews of how the generated PDF will look like.

Generating the PDF is actually paid and costs $3.99/3.99€ but for any people here wanting one feel free to use the code HACKPLAN50 for a 50% discount.
Depends on what part of the world you're in.