skysight-inc/HackerNews huggingface dataset:
Are you paying for DeepL?
He explains that the broker found a buyer he couldn’t have found by himself. If I recall correctly he had looked for buyers but none had met his criteria.
I’ve updated my link to include the site and wish I had searched more thoroughly as it would have saved me hours; This visualization was more of a personal thing after I stumbled upon it while working within MISP and the raw data(so that's what I initially attributed it to), and just wanted to see it visualized outside of MISP, it's really good analysis.

I've also added the references to the individual institution at the unitracker site as well.

To answer your question, the visualization is just a simple cross-filter. I guess the differences are the categorized and topic-based breakdowns/filtering, filtering by description and it includes a map. I did consider adding a network graph, but my focus isn't really visualization.
Even if we say yes, WFO is more productive, for the purposes of this argument, unless this also shields you from being fired for not doing enough if you are less productive at home, that seems like it falls into the normal range of variation of productivity?

Or, put differently, what's stopping someone from delivering WFH levels of productivity in the office, in this framing? If it's that they'd be punished for being unproductive, what's stopping that in the WFH parallel?
John Galbraith wrote a history of money[0] that I enjoyed. In it, he shows that this lesson tends to get relearned on a generational basis. I guess we’re still in the same repeating pattern that he observed.

As an aside, Galbraith is the first (and only) intelligent economist I’ve read who is a big fan of price controls. He was in charge of administering them in WWII. I disagree with him on that for a variety of reasons, but his defense made for interesting, thought provoking reading.

[0] https://www.amazon.com/dp/0691171661?tag=bravesoftwa04-20&li...
There are DRM free games on steam, you can use steamcmd cli to download them and run without having to use steam itself. Its up to the dev/publisher if they want DRM or not.
The Nature of Natural Laws
There used to be something called beta testers. You could actually see if users hated your software before releasing. For a small subset of users, of course.

There also used to be alpha testers, i.e. your own staff. There's another subset of users and one that probably still can tell you if they hate your software today.
Flow With What You Know – get up to speed with flow-based generative models
I clicked on the video asking myself, wait, how does the title make sense, how is he anonymous if he's doing videos?

Then when I saw the frankly very creepy and offputting image and voice, thinking he'd been anonymised through some AI software, thought, oh no, this kind of thing isn't going to become normal is it.

Then - plot twist - I scroll down to read the description and see that that voice is an actual human voiceover! I don't know if that makes it more or less creepy. Probably more. What a strange timeline.
As someone who has very limited understanding but tried to use BERT for classification, is BERT still relavant when compared to LLMs ? Asking because I hardly see any mention of BERTs anymore.
please tell us if it worked!
Why ignore mobile?
> for all the good they might do.

> It's like arguing with a real life philosophical zombie.

It is equally unpleasant to hear you argue with opinions not stated in the comments. Almost as if you are picking a fight nobody as of yet is provoking you to pick. And the phrase "philosophical zombies" don't mean what you seem to think it means.

> It's wild to me that half the global population is so remarkably good at reflexively, and without any critical thinking, reject the idea...

I don't see much critical thinking in this sentence of the article either: "Plastic has already become a new substrate used by argonauts in the Anthropocene era to navigate in surface ocean waters, illustrating the urgent need to reduce plastic pollution in the ocean," Why does that illustrate the urgent need?
oh god , what a timing , I had actually created a blog post on why I didn't want to host a hobby project with credit card because I didn't want to even risk a 0.01% chance of me getting an insane bill and here aws's official guide is causing such things.
This sounds like regular Amazon, but worse. Also it sounds like regular Aliexpress but worse. Could they have combined the worst features of both platforms?

Often Amazon already is a Aliexpress wrapper with hefty markups and faster free shipping. So now they drop some of the markup as well as the fast and free shipping?

Here's hoping the regular amazon shopping and search experience will improve, since they can push their enshittification efforts on amazon haul.
You’re just playing pedantic games. By roughly equivalent I mean isomorphic. Do you not get it? Isomorphism isn’t equivalency. Sure thanks for pointing the obvious out. Why don’t we get with the program rather than state pedantic details?

IO actions aren’t equivalent to async defs. I never said that. I said roughly equivalent which means isomorphic.

I’m not sure why you’re trying to say I’m cherry picking my argument when I am the one dictating the point here. I made the first statement and you responded to it and you started out your previous response by trying to turn the conversation to your point.

Bro I made the point. I’m not changing the point. You need to not change the topic. In the very beginning I said functional core imperative shell. That’s the point.

I guess the io monad doesn’t prevent people from writing shit code in Haskell. You’re weaving in and out of io constantly with almost everything polluted with IO. Pure functions are scattered randomly in a patchwork of compositions without delineation between purity and IO. You don’t see that there needs to be a layer between the two.
I created a web site that uses AI to translate books, and in my testing, Deepl was way better than other AIs I tried at translating.
Leaving Something on the Table
text watermarking works pretty well! https://arxiv.org/abs/2301.10226

When you generate a text with an LLM, you always have some choice. So you can sample in a way that is very likely under your watermark scheme, and unlikely otherwise
I have a personal account that I'm meticulously careful about (but still terrified of).

I also have an account with L̵i̵n̵u̵x̵A̵c̵a̵d̵e̵m̵y̵ A̵C̵l̵o̵u̵d̵G̵u̵r̵u̵ PluralSight: and while the courses are very variable (and mostly exam cramming focused) it has their Cloud Playground as a super nice feature.

I get four hours to play around with setting things up and then it will all get automatically torn down for me. There's no cloud bill, just my subscription (I think that's about $400pa at the moment - can't check right now as annoyingly their stuff is blocked by our corporate network!) It has a few limitations, but none that have been problems for me with exploring stuff so far.
Uh (first off) its the german sense of vertex, not the anglo sense lol

(Image Search for “3-gluon vertex” to get a language independent sense)

On (regrettably still halfass’d) reflection,there are necessary subtleties which your question is stalking but it will take me a few days or weeks to page in
You can see this with many words – the most commonly known word gradually encompasses all similar ones. I don't know if there is a formal linguistic term, but I call it "conceptual compression." It's when a concept used to have multiple levels, but now just has one. It seems like an inevitable outcome in a society that doesn't care about using language accurately.
1st year college student here, and an alumni of a certain high school programme I'd rather not mention ever again.

I've used LLMs MULTIPLE times during "academic" work, often for original idea generation. Never for full-on, actual writing.

Think of my usage as treating it as a tool that gives you a stem of an idea that you develop further on your own. It helps me persevere with the worst part of work: having to actually come up with an entire idea on my own.

And AI detection tools are still complete garbage as far as I can tell, a paper abstract I've written in front of one of my professors got flagged as 100% AI generated (while having no access to outside sources).
Remarc, bit later I suppose: https://www.youtube.com/watch?v=maXRQmwX3-c
It kinda really upsets me that you believe a strain of liberal-democratic sociopolitics is capable of hosting technological and scientific innovation. A bunch of arrogant, proud, or overconfident nerds are not actually destined knights of capital. Why should a bunch of mediocre dweebs matter and get affirmative action and its access to upward capital mobility?

Instead, people should have to prove themselves. They should prove that they are worthy of the resources needed to perform great technological and economic deeds. A monarchical family dynasty is one of the best natural selection aligned filters for that decision making job. Not populist crypto-socialist Marxism (which is what Silicon Valley's pseudo-meritocratic venture capital investment funding ends up looking like).

So, there should be a return to an endorsing of royal families as part of a clear indication of ability and responsibility. If modern society is collapsing right now, then it's surely because civilization incorrectly selected the wrong ethnicities and races to lead society. So, a great reset is in order to correct a huge bio-cultural mistake that was made. Part of the mistake and strategic lesson to learn from was that recent history decided to force mediocre and stagnating genetic bloodlines to the top positions of industry and management. That's especially fatal when efficiency maximizing Malthusian conditions are being approached in the area of responsible leadership for hard, large scale problems like distributed systems engineering and operation.

Queen Elizabeth the Second of England, someone who is supposed to be ordained by God to lord over countries and empires, died while having done nothing sitting on her dysgenic fat arse. She didn't contribute to the development of a new and robust software development framework. Therefore, evolutionary Darwinism strikes back in a sneaky, subtle form; God brings down a matriarchal wrath upon misbehaving human bosses like in Christianity's eschatological mythology. That picture is easy to understand, yes?
Cameras can do it, yes.

But on the Galaxy S7 that I think is being alluded to here, it was definitely a separate sensor -- a MAX86902, IIRC.
That’s interesting. In my tests of translation of formal speeches from Japanese to English, the latest versions of ChatGPT, Claude, and Gemini were all better than DeepL. While DeepL’s output wasn’t bad, the fact that the LLMs could be prompted in detail about the purpose of the translation and had sufficient context windows to maintain pronoun reference and other forms of cohesion made a significant difference.
The name is a bit misleading I think as it makes it sound like this is voicegen whereas it's actually just transcriptions with translations. The videos show two versions:

- real time transcription and translation in virtual meetings in a personal chat window

- real time transcription and translations for in-person conversations with side-by-side or face-to-face (orientation flipped across the middle of the screen) display of both languages on a tablet

Given what I've seen in transcriptions from MS Teams, I'm not sure I'd trust this.
Honestly I've become skeptical of people who end up in high-intellectualized "pursuits" neglecting their own personal and social interactions and the larger societal reactions

Maybe it works for maths, physics and such, and of course it's ok to philosophize, but I think those "ivory tower" thinkers sometimes lack a certain connection to reality
The number of games like this (that work without Steam) is vanishingly small ime, and there is no way to tell in advance whether a game will work or not. (I have actually had a lot more success with the Epic Games Store.)
It’s not worth it. Neither is freelancing. One of the appeals of freelancing was being able to work from anywhere in the world and still make money, but with wider availability of remote jobs that advantage evaporates.

Working for a good company is still the best most consistent way to make good money and have a good life.
Good? These gambling machines are predatory and destructive institutions and needed to be shut down a long time ago. Everything a casino touches turns into hyper-capitalistic dystopia, they are the wealthy elites' worst exploitation, distilled and refined into a poison.

And now they are trying to play with society from the top-down by rebranding as "prediction markets for everything", not only pretending to sell a crystal ball but also setting up the incentives for those at the top of the financial system to destroy society and bet on the destruction of society at the same time. I say: shatter their poker chips, dissolve the house, don't allow them to accumulate any more of this type of power.
O1-preview is already indistinguishable from the 50th percentile HN commentator with the right prompts… no editing at all needed of the output.
I found that specifically when it comes to proper flow and grammatical rules, chatGPT and other LLMs tend to break down. Certainly when translating from English to another language. From another language to English often goes a lot better, but that really depends on how much training data in that language the LLM has been trained on.

German would be one of the languages where LLMs likely will perform fairly well, as it is one of the languages that LLMs training data often contains quite a lot of.

With DeepL if I am using it to translate a language I am not too familiar with and can't validate the outcome as well I therefore will have more trust in its translation. Because I know that the languages they support are actually specifically implemented for translation reasons.
Thanks!
(Although, it is nice to see a good old /. link - pretty rare to see that on HN!)
Yes: https://www.bloomberg.com/news/articles/2024-11-13/amazon-ai...
Numbers to Know for Managing (Software Teams) (2023)
People are bad at modeling behavior they're unfamiliar with. People who have never had any problems with executive dysfunction think you just don't want to if you say you're having trouble doing XYZ and you don't have some visible injury because for them, there's never been any disconnect between "deciding to do it" and "doing it", so they think you're making shit up.

People who have never had significant physical impediments can't imagine "just push through it" being a thing that you're doing constantly so pushing further is going to fuck you up for a week or two, and so on.
For anyone who does not have a facebook account, the actual URL without the forced login is: https://m.facebook.com/story.php?story_fbid=1015993413146151...
If it is, they totally missed the mark as I'm not seeing the electronic components and stuff that are the only reason I ever used Temu in the first place.
I don't think the Guardian article does claim that if you read it.
Which they are (compile time) with Ada / SPARK, without any runtime costs.
A great single source to keep up with AI news is ThisDayInAI.com, which offers daily updates and weekly podcast roundups. It combines timely news delivery with analysis, making it a comprehensive resource.
Welp, if it’s that bad then shrug and use a #define

(Yes, this is a joke)
Not opposed to doing a Solana variant!
interesting to reconcile this with calls to tax the rich. maybe we should be rewarding such effort after all? think about the tens of thousands of jobs created from people working at Google who'd make L3 or less at Google working twice as much...
Exactly this. LLMs are more context aware than DeepL.
Hm? You don't get the galaxy client but other than that the support seems fine?

For example

https://www.gog.com/de/game/baldurs_gate_2_enhanced_edition

Also works quite well with

https://heroicgameslauncher.com/
The interesting bit here, for me, is that the eyes perceive _as almost the same color_ the yellow in a yellow lemon, and the yellow made by the combination of green and blue from a screen. I find that convergence fascinating.
While you're correct about the oxide issue, there are welding processes which mitigate this. In particular, using alternating current instead of direct current causes a "cleaning" effect which knocks the oxide off of the weld area. Laser welding does a similar thing.

If you're welding aluminum with DC stick, DC TIG, or just an oxy-acetylene torch you can get good results by grinding the weld area with a flapper disk and brushing immediately before welding with a stainless wire brush that has never touched anything but aluminum. For DC TIG and oxy-acetylene I've used flux coated welding rods as filler material with some luck.

Also, you always need to keep oxygen away from weld, no matter what process or material you're welding. At welding temperatures metals will burn in the presence of oxygen. We do this by using shielding gasses, flux which burns and displaces the oxygen, using a slightly fuel-rich (or "reducing") flame, physically displacing all the oxygen (forge welding) etc.
Agreed, especially for "serious" project, where LLMs are a good approximation of an average dev that could easily increase your bus factor.

On the other hand, this could be the same slippery slope that starts at "choose a boring project because it has mature tooling" but ends at "IDE's are a language smell". If the language is so boring that you can't focus on it without an LLM doing the menial work, that could be because there is too much menial work to start with.
What about a self-organised criticality mobile of threads and swords with smaller swords hanging from them by (beams and) threads; usually just the daggers are dropping on the poors, but every once in a while one of the top threads fails and entire polearms or scythes descend upon a populace?

Compare https://en.wikipedia.org/wiki/Lewis_Fry_Richardson#:~:text=h...

(had Lenin been less confident in world revolution, could he have asked creditors to take a haircut on their Imperial Russian bonds?)

Lagniappe: https://gagosian.com/media/images/exhibitions/2009/alexander...
> Software in Japanese cars is terrible from European point of view,

So is software in European and American cars. Testing is expensive.
(the overall quality of software has gone downhill in the latest years)
There was a period when GOG was using what can only be described as dark patterns to trick people into installing Galaxy.

I made a post about it on Neogaf at the time. Mostly to my surprise, it looks like the post is still there complete with my screenshots: https://www.neogaf.com/threads/gog-is-now-using-adware-esque...

However, this was in 2017. Today, it is very easy to download your GOG purchases without ever touching Galaxy, and I am very appreciative.
Doesn't DeepL use an LLM? At least based on the company name that's what I would assume
>wants to regulate speech because you disagree with it

>calls other nazi and fascist

https://en.wikipedia.org/wiki/Self-awareness
The decision to join LinkedIn over Razorpay ultimately depends on your career goals and priorities. LinkedIn is a leading professional networking platform which can provide expansive networking opportunities and potential career growth. On the other hand, Razorpay is a prominent fintech company, offering a chance to work in a dynamic startup environment which could lead to hands-on experience and growth in that sector. Consider factors like company culture, job role, career trajectory, and your personal interests to make the best choice for you.
Linguistic tangent: when did "learnings" oust "lessons" as the standard word for "things I have learned"?
You’re aware that the comment was specific to (I would say) reasonably complex SwiftUI expressions? How familiar are you with the context here?
>The average Guardian reader was only going to be exposed to the first and not the second

Brief googling showed >30 articles in the Guardian on the second.
... only governments, yet this is Amazon
My understanding is that BERT can still outperform LLMs for sentiment classification?
Cost Anomaly alerts do exactly this.

You can't even setup Cloudwatch alerts on your actual spend, the only metric available to you is "EstimatedCharges".
The study is here

https://www.tandfonline.com/doi/full/10.1080/17588928.2015.1...

It's interesting but I think the citation is a little misleading. I think the samples of convenience probably oversample for this kind of thing, and some of what they include is stretching the definition of tickertape synesthesia a bit. They say true tickertape synesthesia is probably rare.

The study itself is fair enough imho, I just think that citation is a little misleading without more elaboration, even with the "mild" disclaimer.
obligatory: "its not a bug, its a feature"

billing surprises is among the top 5 reasons I keep a homelab for experimenting. if your project can't be deployed to non-cloud infra, I likely won't be using it in the future.
I meant unrelated to "Kennet". We seemed to be talking about West Kennet long barrow by this point.

I'm not sure which two of the three things (Kinnettles, Mildenhall, and Cornish names) you're comparing. If you're saying it's outrageous to find a Celtic place name in Suffolk, you're right, except this is a name from Roman times, when Romans were Romanizing Brittonic Britons and the Anglo-Saxons hadn't yet got a look in. And river names tend to be the oldest names and full of debated and unexplained elements, such as the "Or" in Orwell, and the Ouse.