skysight-inc/HackerNews huggingface dataset:
Autokroma.com | C / ffmpeg / codecs | Full-time | REMOTE (Portugal)

We do audio video software (video editing, visual effects) and work remotely. I'm looking for self motivated individuals, great at async + remote + text communication and able to organize, report and manage the work themselves without external inputs.

Send me an email, the first part of the email is "contact" and after @ the domain name. Tell me your story, what you're looking for in your life now, a previous bad work experience you'd like to avoid and a good work experience that inspires you for the future
I don't live in Germany but hate internet banking and de-letterization and other "digitalization" because it's first step in erosion of rights. The second step is forbidding the offline version.
Quick numbers:

- Belgium and Netherlands: ~1.5%

- 19th century European city dwellers: ~6%

- Certain tribes in Namibia with cultural multiple partners: ~48%

City dwelling was always higher than rural in Western cultures.
Vanilla css
> Right; it's imperfect, as everything is.

Is this tautology helpful? For sure it's commonly used, but I honestly have a hard time seeing what information it conveys in cases like this.
In the last 500 years.
Delighted to discover this kind of breakthrough is based on a gnarly regular expression:

https://github.com/Svensson-Lab/pro-hormone-predictor/blob/m...
I'll go against the other comments and say that as an american on the west coast of the US, I've always lived within biking/walking distance of my grocery/goods stores. Even when I lived in Montana I could still walk to the grocery store.

It's a priority to me. It isn't really difficult to do, people just make excuses. I'd wager that the vast majority of Americans think biking 1 mile each way to the store is out of the question.

Im not saying everyone can/should live within a mile of their grocery store. I'm making the point that even if most Americans did live within walking/biking distance they would still drive.
Steam is the exception that confirms the rule.

Mainstream movies and music are fast food. Made fast and consumed fast. They have a very short shelf life and new songs/movies come out every 2 weeks or so which is an order of magnitude faster than games. Games take longer to play and many have a high replayability factor so you can justify a one off pay.

Essentially you are buying hundreds of hours of experience vs 2 hours of experience watching a movie or 3 minutes listening to a song. And unlike games, movies and songs are literally the same no matter how many times you play them. If you look at games that can be completed in a few hours by casual players, you will see that the pay is extremely low.
Because they don't have a chip, their team is all over the place, they claim 1 of their chip is equal to 3 RTX 5090 in path tracing and FP64, has more than 2TB of VRAM, etc.

If a team is claiming these things, at least have employees who worked at Nvidia or AMD or Apple.

Just outrageous claims.
The error accumulation thing is basically without any ground as regressive models correct what they are saying in the process of emitting tokens (trivial to test yourself: force a given continuation in the prompt and the LLMs will not follow at all). LeCun provided an incredible amount of wrong claims about LLMs, many of which he now no longer accepts: like the stochastic parrot claim. Now the idea that there is just a statistical relationship in the next token prediction is considered laughable, but even when it was formulated there were obvious empirical hints.
Copper was already on the bottom of the ships by then to stop ship worm (terodo Navalis), it also had the advantage of stopping weed growth.

A quick browse through Wikipedia suggests that entire Royal Navy had copper by the late 1790s.
> If supply can be ramped up quickly here, that could mean very fast. Just at a rate the supply side of the market can actually respond to.

But with this you inevitably create a bureaucratic committee that would hold the power to decide if it's time to continue increasing tariffs or the supply (estimated by them) hasn't ramped up quickly enough yet. These people will have their own priorities in mind, they will quickly be surrounded with high-profile industry connections and lobbying budgets. Moreover, continuing with the tariff increase schedule will be their lowest priority, because as long as the schedule is complete, they lose their jobs and temporarily mandated powers over many billions of trade flows.
If they can't figure out an alternative, that says a lot about their lack of critical thinking skills, and that's a problem.
Curious that have people find more details regarding what is the architecture of this "mistral-ocr-latest". I have two question that

1. I was initially thinking this is VLM parsing model until I saw it can extract images. Then, I assume it is a pipeline of an image extraction and a VLM model while their result is combined to give the final result.

2. In this case, benchmark the pipeline result vs a end to end VLM such as gemini 2.0 flash might not be apple to apple comparison.
Look like it's part of an Apple TV subscription https://tv.apple.com/us/movie/its-quieter-in-the-twilight/um...
Obviously, reliability and pricing play a big role.

Another one that's surprisingly important to my employer: select the country of origin of phone calls.

The company I work for offers (among other things) datacenter colocation in Germany, and one of the selling points to compete against AWS is German ownership, no foreign control. Yes, some of our customers are very conservative. A few of our customers get direct notifications from our alerting tool, and if those phone calls arrive from a US-based number, it leaves a really bad impression.

OpsGenie has instances hosted in EU for that.
$ host 209.216.230.207
207.230.216.209.in-addr.arpa domain name pointer news.ycombinator.com.
What's "normal" for you isn't for others. Compared to these others those labels are quite appropriate.
The Landscape of Lisp
LLM as a judge?

Isn't that a potential issue? You are assuming the LLM judge is reliable. What evidence do you have to assure yourself or/and others that it is reasonable assumption
LLM generated content?
Ownership is a pretty practical and obvious thing. It is either mine to use/do whatever I want with it or it is not. Whether it's a car or a piece of media. So I can't agree with you here. Yeah, a vinyl is much less important than an apartment, but it doesn't change the concept of owning something.

As for the rest. The issue I see with the subscription approach is exactly what you described. People start getting used to it in other domains other than media consumption. Like cars for example, car brands introducing subs to enable your seat warmers or whatever that technically is already there, but for you to use it you have to subscribe. It's a matter of time this starts spread everywhere. And when it does there will be people who will come up with a number or reasons why it is actually fine and everybody should just go with it.
To motivate deep space travel we should decide these records are dangerous and try to track them down (after voyager is out of range for radio control).
Anyone else reading this please fork it and fix it thanks
>> taxpayers don't owe Ukraine anything for free since there's no contractual obligation to do so

If your neighbour was being attacked would you help them even if you never signed a contract saying you will come to his defence?
Love the 70's fantasy feel of your paintings. Nice touch of nostalgia.
I don't think they are buying currently, but just not selling them has basically the same effect of keeping their donor investments higher than otherwise.
The issue with buying direct is that it's often fulfilled by Amazon nowadays.

I bought something last week from an OEMs website. It showed up the next day in an Amazon envelope. Nowhere was it mentioned when I checked out.
There's fits in memory, and there's fits in memory.

I have used various bit-packing schemes in order to keep data in memory. If you can keep your entire dataset in memory, it opens up different ways to tackle it. Succinct data structures look like a way to enable this.

It's not storage access times that kill you. You need to rearrange all your processing to work in batches or windows or use some kind of query API to do anything. Everything becomes much more painful.
where do you find this regarding "Where if Mistral classifies something as an image, it will replace the entire section with (image)[image_002)."?
I know it was available on some models, but many? I doubt it. The last time I checked what was available from Tuxedo (maybe 1.5-2 years ago), the 2-3 models I liked didn't have an ANSI keyboard layout option.
Like Meta investing in virtual and augmented reality projects over $100 billion?
Lie Google investing half a $ billion in Magic Leap?

Like all the crypto?
They all seem to be "cutting costs". You know hen they do that? When they see a recession/depression coming. If it were not for the manipulations of the interest rates in favor of these companies we would have had one already. Now, they have their bag of money and we all get the "austerity".
Whoever’s left will work overtime to create better AI so they could be fired.

https://arstechnica.com/google/2025/02/sergey-brin-says-agi-...
Wasn't he the original lapdog lawyer who hounded Assange even after the Swedish authorities were happy to drop the case?

https://www.jewishvoiceforlabour.org.uk/article/starmer-the-...

The only spine he has is pleasing his sponsors, not for having his own thoughts.
Title reads as clickbait; this is a repackaging of previously-reported layoffs with no additional content
I commend this viewpoint, but it is just untenable for me.
How much media do you consume? I can’t imagine paying “retail” price for the amount of TV, movies, songs, etc. that my household consumes. Not even factoring in that I share my subscriptions with out-of-house family/friends. You get a couple of months of streaming for price cost of one season of one relatively recent show. For the price of one movie ticket for one person, you get at least one month of a subscription to Disney+.
And while there _is_ a lot of content that we repeat (especially songs), most of it we don’t, so I don’t care to have my own copy of it.
Sure there are many ways to find it cheaper or free (such as a library), but those all take up valuable time.
I've been wondering about context compression, actually. I remember a bunch of prompt compression tricks from a couple of years ago that must be usable. If you were to say "anything past half context gets compressed, including the previously-compressed context" would mean you'd still have reasonable workspace and potentially infinite recollection of the most important things. Then yes, you'd be dragging a massive context around, but you're maximising the return on using it. I presume somebody's got a toolkit for this that I don't know the right terms to google for.
Year | Salesforce | Alphabet | Meta Platforms

-------+------------+----------+----------------

2018 | 29,000 | 98,771 | 35,587

2019 | 35,000 | 118,899 | 44,942

2020 | 49,000 | 135,301 | 58,604

2021 | 56,606 | 156,500 | 71,970

2022 | 73,541 | 190,234 | 86,482

2023 | 79,390 | 182,502 | 67,317

2024 | 72,682 | 183,323 | 74,067
I'm not entirely surprised, adding 40 bytes of SRAM to the 386 for a debug-only feature would have been hard to justify.
I’ve been using ReScript and ReasonML (derived from OCAML, originating from Jordan Walke) for the better part of 7 years now professionally instead of TypeScript/JavaScript and couldn’t be happier. Blissfully enjoying a fully sound type system with stronger type inference vs. TypeScript and without all the complex type jugglin, null hell and an insane compiler with good errors, enormous speed and output of optimized JS code. It does indeed have a learning curve (these days far less steep than it used to be) but the benefits are just so many in my eyes. At the same time TypeScript has come a long way but it still struggles in comparison and I never feel as safe when writing TypeScript.

One downside is, of course, far less adoption and libs usually will have to have ReScript bindings written for them but that's fairly straight-forward and not something I have to do very often.
The selfish gene states quite well why this happens and is normal in the statistical sense.

I don't think a lot of people today would challenge dawkins on that.
Read it again:

> Emotional? · Amazon is an US corporation and the US is now hostile to Canada, repeatedly threatening to annex us. So I’m routing my shopping dollars away from there generally and to Canadian suppliers specifically. Dumping Prime is an easy way to help that along. ¶
In “Why one.el”, one of the points listed is this:

> I want websites to be written to a single org file,

Since the entire site’s source is in one file, this means individual blog entries (the index.html files) do not by default have their original date after the build and publish, right? For example, if the blog was built and published with one post yesterday and I add one more post today, build and publish, does it mean that both the blog posts on the web server would show up with today’s date/time as when they were modified/updated? If yes, wouldn’t this affect things like browser caching, search engine crawlers, etc.?
Of course the right balance must be struck.

The situation is Europe is not really demonstrating that the "European/slow model" works "better"... At the moment what we're seeing is legacy systems and companies slowly falling behind and decaying everywhere with a glacial pace of change.
Same with blood types.

Clearly lots of people never listen in biology class.
It's not all about reading, anyway. An open-world RPG is a special, dream-like thing, and inspires me with all kinds of thoughts, but I prefer my RPGs (or roguelikes or sims) not to be polluted with stories - which, come to think of it, is because stories trammel the imagination, putting the game "on rails", as is sometimes said. Nor do I want a story to emerge as I play: that's not even what the whole experience is about. It's kind of like looking at a picture. Fragments of story-like things come to mind and fade away again, and again, inspired by the setting, while you handle the mechanisms and tactics of the gameplay as a kind of exciting meditation.

I only play games that are turn-based, or that I can pause. Those are the only real games. The others are like fairground rides. Maybe once in a while I'll play pinball or something but it's a whole other category (and story-laden adventure games are another category again).
How AI is changing how and who builds software...forever
There's lots of variations across cultures. You could make the (lazy) generalization that men do not want to invest in propagating genes belonging to another man.

But then the Himba have a high level of extra-pair paternity (EPP). How does this make sense evolutionarily? Maybe a high level of EPP means that more members of the community share your genes? Which gives you an incentive to care for offspring that are fathered by another man (you and that man may share genes to begin with).

Maybe this reduces violence between individuals, which in turn reduces violence more socially? A more peaceful kinship group may have a competitive evolutionary advantage in the long term.

Given the levels of gendered and sexual violence I've seen in many societies, I can see several advantages to the Himba way.

Of course I'm just speculating.
As one of the referred 'lots', care to explain a bit more?
It's not a forced binary. There are no in-between gametes. There are large gametes (eggs) and small gametes (sperm).

The law and government doesn't get to decide this, as you say, it just is. How the law reacts to the scientific fact of the sex binary is a different matter.
I think you did not read it closely enough.

The article says right at the top that it is part 2 in a series, and that part 1 was 1974, with a link. That Part 1 discussed UFS in depth. The point being that (1) by 1984 UFS was far from state of the art and (2) you need to understand the 50 year old SOTA to understand what was different in the 40YO SOTA.
I think it's fair to say that there is a subset of people for whom this kind of thing does border on obsession. By analogy, it's normal to care about your weight, but it's still possible for that normal concern to become an anxious obsession that gets blown way out of proportion.
Runtyme-Kit – All you need for simple SaaS infrastructure, in minutes
Hey all,

I've just launched Runtyme-Kit. It's essentially a collection of source code for GitHub Actions pipelines and Terraform modules that automatically set up external providers (Stripe, Auth0, Supabase, MongoDB, etc.) and your product's infrastructure (Cloudflare, DNS, Heroku, Netlify, etc.) with just one __env.tf file.

I created it for myself to save hours every time I want to develop a new project. Instead of going to each provider's UI dashboard, I just populate the API keys, update the __env.tf file, and push to the repository to automatically apply changes.

Simple, yet effective.

Of course, anyone can build this themselves, but it takes time to develop, research, debug, and more. I've already done it, and I wanted to share it with the world.

Maybe it'll inspire someone to start a project that could change their life.

ProductHunt: https://www.producthunt.com/posts/runtyme-kit
Runtyme-Kit: https://runtyme.co/

Peace
Adrian
Would love this for Finnish, not gonna lie :)
If it's not the father's choice, it's like stating raped women should always raise the kid.
That seems like a dubious claim.

Say I sell you a meal. You pay for me for it with a L2 transaction. I use that L2 transaction to pay the taxi driver for my ride.

In that very short story the value representing stuff (the meal) was moved onto L2, and then out of L2 in exchange for a taxi ride. Neither move involved L1.
Show HN: An adaptive classifier that detects hallucinations in LLM/RAG outputs
The optimal way to use linkedin is to add as many people as possible from as many companies as possible that you're interested in. This way, when you want to apply for a job at any such company you have people already working there whom you can message directly and ask for a recommendation.

Just don't forget to unfollow everyone you connect with as well... there's only so many times a man ca read stories of how the dog was the CEO all along...
Waiting for PostgreSQL 18 – Virtual generated columns
Are you kidding? It's a political pamphlet, many scientists have aimed criticism at it.
I built an open-source hallucination detector that identifies when LLM outputs contain information not present in the source context. The tool is particularly useful for RAG systems where ensuring factual accuracy is critical.

Unlike most hallucination detection approaches that require separate LLM calls (which add cost and latency), this is a lightweight classifier built on HuggingFace transformers. It's adaptive, meaning it continuously improves as it processes more examples.

Technical approach:

- Uses a prototype memory system that maintains class examples for quick adaptation

- Combines transformer embeddings with an adaptive neural layer

- Trained on the RAGTruth benchmark dataset across QA, summarization, and data-to-text tasks

- Achieves 80.7% recall overall (51.5% F1), with strongest performance on data-to-text generation

Example usage:

from adaptive_classifier import AdaptiveClassifier

# Load pre-trained detector

detector = AdaptiveClassifier.from_pretrained("adaptive-classifier/llm-hallucination-detector")

# Format input with context, query and response

input_text = f"Context: {your_context}\nQuestion: {your_question}\nAnswer: {llm_response}"

# Get prediction

prediction = detector.predict(input_text)

# Returns: [('HALLUCINATED', 0.72), ('NOT_HALLUCINATED', 0.28)]

Current limitations:

- Performance varies by task type (stronger on data-to-text, weaker on summarization precision)

- Initial version focuses on binary classification; token-level detection is planned

- The model is relatively small, so it won't catch subtle nuanced hallucinations that require deep domain knowledge

The library's wider goal is to enable adaptive classification for use cases where models need to continuously learn from new examples. We've also built LLM routers and configuration optimizers with it.

Would love feedback from anyone working on RAG systems or LLM evaluation. What metrics or capabilities would be most useful to you in a hallucination detector?

Project: https://github.com/codelion/adaptive-classifier

Docs: https://github.com/codelion/adaptive-classifier#hallucinatio...
> plain Linux host, configured via ansible and compose.

There is your answer. I'd would also add watchtower to keep your containers up to date.
If one isn't interested in their fight then cheap=/= maximally profitable. Foot in door by luring proxies to trade blood for $. Once proxies dependant and fully sunk cost, enshitification commences. If one is cynical, RU as future competition is done, extraction of UKR can begin. Dead horse still worth something as glue.
Exactly this. And if I can avoid that, I will.

Edit: and what makes this so annoying is that I really want to be a nice guy for the customer service, not an asshole. And when they treat me like this, I turn into a monster and I'm not happy about it.
In the modern world, I don't see how one can be obsessed about such a thing...

Do a DNA test, get answer. Obsession over.
Some combinations are impossible.

E.G: both biological parents cannot be A and the kids be AB
There is another source, SNI certs showing up on a server or load balancer during the TLS handshake. When the client tries to connect to a server using SNI without indicating the server, some will reply with a default or give a list of valid server names.
The Symbolic Capitalists
Not arguing with what you said (not agreeing either) but i want to add a perspective.

Not all human discussion can happen in forum-like format. Quick disposable chats are also usefull for when you're in a state of "figuring things out" where quick and short feedback help you navigate a problem rather than reading long well-researched well-formatted replies.

There must be room for both modes: the "thinking about it now" is in chat and the "having thought about it" is in SO, forums, documentation etc etc.
> couldn't get approval to share it with anyone.

sounds like MS :(

They had some killer research projects with various teams around the world, but eventually they all got snuffed.
One weird idea that would maybe work in a big city setting only, for what your are describing, (which I would love to build/see exist one day) is a "warehouse on wheels": Throughout the city you have a fleet of UPS style trucks that contain inventory. The inventory is distributed throught the trucks so that they contain a good ratio of "hot" items and "long tail" items. Then when somebody orders something, the right truck is sent on location to deliver the product. When idle, the trucks go reload on inventory in the different local shops or wait at a charging station.
Roame (YC S23) Is Hiring a Chief of Staff