MurphyA/hacker-news huggingface dataset:
by ebhn | 2026-02-07 18:36:23+00:00
This is the main thing I have learned too. I've been building an internal tool for myself to annotate lines in each commit diff as good (green) / needs refactor (yellow) / needs rewrite (red) and it has helped me keep track of this kind of tech debt. Basically does what you could do with "TODO refactor" comments all over, but is more comprehensive and doesn't litter your source code. Plan to open source it once I've dog-fooded it a little more
by simianwords | 2026-02-07 18:36:36+00:00
Apologies but either I don’t understand your post or it is nonsensical.

What relevance does AI have to being an IQ shredder if the talent has gone into (productively) developing capable AI?

If anything, AI completely disproves your notion of IQ shredder because this is an instance of lack of barriers actually hastening progress. Look at all the AI talent. Very few are American or ethnic Americans.
by owenversteeg | 2026-02-07 18:37:20+00:00
I partly agree and disagree.

Speed completely changes the game in a few ways. The first is identifying interests. Imagine every possible interest in a tree structure. Let's say you're into kumiko. There are so many levels of the tree to traverse to find kumiko; perhaps Skilled crafts -> Woodworking -> Japanese -> Construction without use of fasteners -> Panels and decorative elements -> Kumiko. The more iterations you can get through, the better you can match people's interests. If someone has 10 interests and each one requires many questions to determine, it can take forever to find exact interests with a system that only narrows down your interests every X videos vs. after each video.

The second is matching current moods. Let's say you just broke up with your girlfriend, or your pet fish died, or you're on vacation in Spain. A rapidly-updating system can capture those trends and get right to the heart of them in time for them to matter. A slow system might only get through a few iterations and capture a vague interest in Spain; a fast-updating one can get through countless iterations of guessing. Spain? What city? Tourist or moving there? What type of tourist? Foodie? What type of food? How fancy? Bam, you're watching the perfect video about an upscale seafood restaurant in Barcelona.

The third is type and flavor of content. Even inside of a small niche you will find many flavors of content. Super-short or long form, fast paced or slow, funny or serious, intellectual, irreverent, political leanings, background music, et cetera. Maybe you like slow long-form woodworking content but like fast-paced travel guides. Maybe you hate background music except when it's in skateboarding videos. To determine this requires an incredible amount of "questioning" of the user.

Now, of course, an algorithm that updates once daily can also make inferences about your interests and preferences. It can certainly learn, with enough time, what you are into and how you like to consume it. But the key thing is that these inferences only enable _predetermined_ changes. Imagine you are a human showing someone TikToks. Imagine that you can ask them any questions about their preferences right as they watch a video. You may not ask a question after every video, but you will ask countless questions over the hours of scrolling that day, and you will get good data. Now imagine a new restriction: you must decide your questions once a day in advance. You will manage far fewer questions; and to follow up on them you must wait yet another day.

Now, why do I partly agree? Well, I don't think speed is everything; I think TikTok has another sort of je ne sais quoi to it. I think it has a unique culture and community. It has a better UI and better features than Instagram. It has a young and cool reputation, far from the Millennial taint of Instagram or Facebook. And I suspect that they are good at identifying _who_ you are and acting on that information. But in my eyes, the speed could very well be the most important part of the puzzle.
by navanchauhan | 2026-02-07 18:38:03+00:00
It’s part of the “lore” that gets passed down when you join the company.

Funnily enough, the marketing department even ran a campaign asking, “What does DM stand for?!”, and the answer was “Digital Metropolis,” because we did a design refresh.

I just linked the website because that’s what the actual company does, and we are just the “AI Lab”
by cedws | 2026-02-07 18:38:14+00:00
I don’t understand the Claude Code worship. The Claude models are good. Claude Code is nothing special, there are a dozen other agentic coding CLIs just like it. CC has terrible sandboxing, and encourages vibe coding by not giving you the opportunity to review diffs. Zed’s ACP protocol enables a better workflow but I still don’t like having my editor call out to some crappy JavaScript tool, I want something integrated. And now Anthropic disallow us from using our subscriptions with alternative tools, if you don’t want to go bankrupt from API usage, you’re forced to consume their slop.
by dauertewigkeit | 2026-02-07 18:38:30+00:00
I agree with you that STEM don't hold a monopoly on intelligence.

> engineers that can't get laid in Singapore are the same "brilliant" engineers that can't get laid in their home town

Maybe so, but not for the same reasons. Back in their home town, they cannot vibe with anyone because the few who might be compatible have long since left. In a STEM hotspot, they go to an event and meet compatible people, but it's 11 guys for every 3 girls, so unless they are top dog in that room, they aren't going to score.
by fokdelafons | 2026-02-07 18:38:37+00:00
Tech Stack:

Frontend: Flutter (Web & Mobile Monorepo),

Backend: Firebase + Google Cloud Run,

AI: Vertex AI https://lustra.news/info/tech

License: PolyForm Noncommercial — source is available for inspection, learning, and non-commercial civic use. Commercial use would require a separate agreement.

I am looking for contributors. I have the US and Poland live. EU, UK, FR, DE in pipeline. I need help building Data Adapters for other parliaments (the core logic is country-agnostic). If you want to help audit the code or add a country, check the repo. The goal is to complete the database as much as possible with current funding. Please, fork it if you can.

Live App: https://lustra.news

Repo: https://github.com/fokdelafons/lustra

Dev Log: https://lustrainitiative.substack.com
by tialaramex | 2026-02-07 18:38:44+00:00
Car drivers are always like this, everywhere. Even when I was a little kid, last century, it's a village school, every pupil lives in the same mile or so radius and yet loads of them get picked up in a car.

I now live in a big city but when I walk to the office it's just before school starts, so I see that yeah at first I'm passing kids happily walking with parents but just outside the school it's a jam of idiots who "just quickly" are here to drop the child from a car. The contrast in a few weeks when school is closed will be dramatic, that street is dead, but I bet every one of those parents thinks of it as a "busy road, they ought to do something about that" while not remembering that it's busy because of them.
by sigseg1v | 2026-02-07 18:38:49+00:00
Serious question, but have you not used it to implement anything at your job? Admittedly I was very skeptical but last sprint in 2 days I got 12 pull requests up for review by running 8 agents on my computer in parallel and about 10 more on cloud VMs. The PRs are all double reviewed and QA'd and merged. The ones that don't have PRs are larger refactors, one 40K loc and the other 30k loc and I just need actual time to go through every line myself and self-test appropriately, otherwise it would have been more stuff finished. These are all items tied to money in our backlog. It would have taken me about 5 times as long to close those items out without this tooling. I also would have not had as much time to produce and verify as many unit tests as I did. Is this not increased productivity?
by SilverElfin | 2026-02-07 18:39:14+00:00
He’s going to be a victim of the same anti immigration anti foreigner anti minority movement that the other groups you mentioned will be victim to. Remember the DHS tweeted a supremacist call to deport 100 million people. That is only possible if you denaturalize all the citizens who were once just immigrant workers on visas. The fact that he’s “Tamil Brahmin” isn’t relevant - his right to exist in America is at risk, by his very own actions of supporting the administration.
by paulhebert | 2026-02-07 18:39:36+00:00
I think there are a number of elements:

- What you are working on. AI is better at solving already solved problems with lots of examples.

- How fast/skilled you were before. If you were slow before then you got a bigger speed up. If AI can solve problems you can’t you unlock new abilities

- How much quality is prioritized. You can write quality, bug free code with AI but it takes longer and you get less of a boost.

- How much time you spend coding. If a lot of your job is design/architecture/planning/research then speeding up code generation matters less

- How much you like coding. If you like coding then using AI is less fun. If you didn’t like coding then you get to skip a chore

- How much you care about deeply understanding systems

- How much you care about externalities: power usage, data theft, job loss, etc.

- How much boilerplate you were writing before

I’m sure that’s not a complete list but they are a few things I’ve seen as dividers
by deanc | 2026-02-07 18:39:40+00:00
Maybe I should have snipped the first part of the paragraph, but no absolutely not. If you're unfit to drive you should have your license taken away.

I was commenting primarily on the suggestion that all these old people who rely on their vehicles will suddenly be able to use a functional public transport system - allowing them to get around freely. This is simply not true outside of London.
by simianwords | 2026-02-07 18:40:12+00:00
We should be able to measure this. I think verifying things is something an llm can do better than a human.

You and I disagree on this specific point.

Edit: I find your comment a bit distasteful. If you can provide a scenario where it can get it incorrect, that’s a good discussion point. I don’t see many places where LLMs can’t verify as good as humans. If I developed a new business logic like - users from country X should not be able to use this feature - LLM can very easily verify this by generating its own sample api call and checking the response.
by threecheese | 2026-02-07 18:40:20+00:00
They are idiots, but getting better. Ex: wrote an agent skill to do some read only stuff on a container filesystem. Stupid I know, it’s like a maintainer script that can make recommendations, whatever.

Another skill called skill-improver, which tries to reduce skill token usage by finding deterministic patterns in another skill that can be scripted, and writes and packages the script.

Putting them together, the container-maintenance thingy improves itself every iteration, validated with automatic testing. It works perfectly about 3/4 of the time, another half of the time it kinda works, and fails spectacularly the rest.

It’s only going to get better, and this fit within my Max plan usage while coding other stuff.
by mpol | 2026-02-07 18:42:09+00:00
In a sense that book is more about selfhelp, and misses some parts of Stoicism.

An interesting book which is more complete but still readable is Stoic Notes written by Rymke Wiersma, translated in English here: https://modernstoicism.com/a-free-book-stoic-notes-by-rymke-...
by hagbard_c | 2026-02-07 18:42:24+00:00
To the downvoters, do you doubt these are the issues which will be Republican targets for complaints - which was the question I answered here? If not, why the downvotes? How about replying instead of knee-jerking - or, given the size of the target and the extremities involved more likely index-finger-jerking - that downvote button? As it stands now it seems you mostly agree with what I posed but are unable to either acknowledge this nor to defend the opened borders, international policies, sovereignty issues, social planning or flag hoisting - which is what Republicans will be complaining about whether you like it or not.

This is supposed to be a site frequented by people of above average intelligence wih the willingness to use that intelligence to create and voice arguments. i.e. hackers. A querulous bunch of which it was said that getting them pointed in the same direction was like herding cats [1]. How can it be that this same bunch has allowed itself to be corralled and branded to moo in the same tone?

[1] https://en.wikipedia.org/wiki/Cat_Herders

[1] https://www.youtube.com/watch?v=vTwJzTsb2QQ
by TekMol | 2026-02-07 18:43:03+00:00
Hmm.. ok. The page does not make it look that way. It makes it sound like all you can do is get on a waiting list to then at some point in time use it for $69/month.

As for myself trying it - I think I would rather put OpenClaw on a $5/month VM myself than to pay $69/month for it.
by throwaw12 | 2026-02-07 18:43:25+00:00
> US$700 billion could build a lot of infrastructure, housing, or manufacturing capacity.

I am now 100% convinced, that the US has power to build those things, but it will not, because it means lives of ordinary people will be elevated even more, this is not what brutal capitalism wants.

If it can make top 1% richer in 10 year span vs good for everyone in 20 years, it will go with former
by deadbabe | 2026-02-07 18:43:39+00:00
People didn’t travel as much back in those days. Visiting a foreign country or too might as well be like a trip to the moon.

But now, we basically live in the climax of the jet age, we can be anywhere in the world within 24 hours. And there’s so much of the world to see and stories to discover, not really worth the bother to imagine space travel to far off distant empty worlds, which will inevitably be used to further extend capitalism and just live the same lives we live here on Earth, just on a different world. The lack of any other interesting extraterrestrial civilizations to interact with makes it all pretty pointless. Going very far into space is mostly for exploration as a sport, like cave diving or something.
by deepthaw | 2026-02-07 18:43:40+00:00
I first really started to learn how to use computers playing Leisure Suit Larry on a friend's dad's computer. Started with copying save-games to/from floppy disks, to using MS-DOS in general, to BASIC, etc. and so forth.

It's interesting how much of the humor in those games flew way over my head yet I still had a blast playing them. And looking back as an adult, the "risque" stuff was tame as hell but still fun. Sigh, good times.
by mc-0 | 2026-02-07 18:43:45+00:00
First off, what you shared is cool, thank you. Especially considering it captures problems I need to address (token limitations, context transfer, managing how agents interact & execute their respective tasks).

My challenge specifically is that there is no real plan. It feels like this constant push to use these tools without any real clarity or objective. I know a lot of the job is about solving business problems, but no one asking me to do this has any idea or defined acceptance criteria to say the outputs are correct.

I also understand this is an enterprise / company issue, not that the problem is impossible or the idea itself is bad. Its just a common theme I am seeing where this stuff fails in enterprises because few are actually thinking how to apply it... as evidenced by the fact that I got more from your comment than I otherwise get attempting to collaborate in my own organization
by moomoo11 | 2026-02-07 18:43:57+00:00
Why not just not compare to others because it’s easy to game anything?

Just look for patterns and then act out of self interest. Nobody is coming to save you.

I’m no high IQ person but if I can figure out how to get a STEM job without STEM degree, make money by getting lucky at a unicorn, invest and sell for profit and invest again (only losers HODL so others can take profits), then there’s really no excuse why someone else can’t.

And I’m originally from a country that has like 70 IQ nationally or so it is said. So I’m not a genius, maybe the only quality I have that makes me different is I don’t know how to quit until I meet my goal.

More people should stop crying and be a man. Our ancestors literally survived against nature and each other so we could post here on HN. I don’t mean being able to lift 500lbs like a caveman either.

Exercise your brain, it gets stronger too because I have a hard time understanding concepts sometimes, but taking steps to break it down and digest it in pieces helps me. Takes a bit longer but hopefully you have tomorrow.
by FpUser | 2026-02-07 18:44:09+00:00
I've never did see any value in monsters like React. Always use plain JavaScript, wrote web components and used some narrow scope 3rd party libraries. Works like a charm for me. Now instead of writing whole web components on my own I write skeletons with some comments and ask IDE with AI services (I use IDEs from JetBrains) to complete it. I then do the same with tee main application. So far the results are stellar. I do similar with my backend applications (mostly C++) but there is much more work from my side is involved as the requirements are way stricter, for example performance being a major thing.
by snovv_crash | 2026-02-07 18:44:11+00:00
Yes, that's basically the point. You get 'free' continuous learning just by throwing the new data into the pool. Needing an explicit training step is a weakness that makes CL hard to make work for many other approaches.

For any practical application KNN will need some kind of accelerated search structure (eg Kd-tree for < ~7 dimensions) which then requires support for dynamic insertions. But this is an engineering problem, not a data science problem, it works and is practical. For example this has been used by the top systems in Robocode for 15+ years at this point, it's just academia that doesn't find this approach novel enough to bother pursuing.
Show HN: I built a <400ms latency voice agent that runs on a 4gb vram GTX 1650"
by shubham-coder | 2026-02-07 18:44:12+00:00
I built a Voice agent platform my drobotics lab of my university..which is already being cloned by 330+ people within 12hrs .. I am a first year cse student and so I tried to figure out a way to actually run everything on my laptop and working on it currently to completely transform to edge ai voice assistants for the robotics and 100% private and local control of robotics related project of my lab..

The intersting features are :
1> I used json rag with real time embeddings so that for a few specs and info we don't need to set a whole pipeline..

I have already built " Hierarchical Agentic Rag with Hybrid Search ( knowledge graph + vector search) u can view that on my profile ...

I am actively trying to share as much as possible related to it but that project is actually linked with a huge set of files it's 693k points of data with pgvector+ postgress .. give a visit u will get more idea from that

2> I had tried every sort of whisper models.. faster whisper .. turbo or anything u can u think of ..even with a self c++ engine .. but that model itself was hallucintion prone architecture..

Then I moved to parakeet tdt with silero vad and not parakeet rnn for better speed and optimisations .. repo has further details ..

3> fine tuned a dataset from anthropic rlhf through space and glinner and convert that to a perfect training dataset of the Lama 3.2 3b ..

I will attach the dataset of u need or will upload that to hugging face if u want to use it for yourself..

4> attached phonetic correctors for both output from parakeet and llama for better tts working .

5> I used setfit to route the queries and confidence based semantic search for faster and accurate as much as possible

6> I am using sherpa onxx and qued the tts and stt and everything but as a experimentation I have also achieved llama generating respond and kokora processing as a batch with a full nyc working as well and everything on my laptop...

7> along with these my frontend also relies on heavy three.js and 3d view files but I had applied optimisations there which works perfectly with everything together on the laptop..

8> I also applied glued interaction to the llm model .. implemented FIFO with 5 interactions and storing them for future fine tuning and phonetic words additions.

Pls give a visit it and let me know if I should learn something new ..

One kind note : as a enthusiast spending so much energy on these things things .. I have taken help from ai for the md files and expansion or explanations in the codes for better help of every single person...
by Animats | 2026-02-07 18:44:41+00:00
It was because there were real hope to find intelligent life in the Solar System itself - as crazy as it might sound now.

Yes. Von Braun wrote an otherwise realistic novel in which earth's explorers find intelligent life on Mars.[1] Heinlein wrote realistically of native intelligent life on Mars and Venus, with far more benign environments then they actually have.
But once probes got there, we got to see how bleak they are.

There's a little hope for extrasolar planets, now that we can detect some of them.

[1] https://en.wikipedia.org/wiki/Project_Mars:_A_Technical_Tale
by theshrike79 | 2026-02-07 18:45:17+00:00
“API Glue” is what I’ve called it since forever

Stuff comes in from an API goes out to a different API.

With a semi-decent agent I can build what took me a week or two in hours just because it can iterate the solution faster than any human can type.

A new field in the API could’ve been a two day ordeal of patching it through umpteen layers of enterprise frameworks. Now I can just tell Claude to add it, it’ll do it up to the database in minutes - and update the tests at the same time.
by phreda4 | 2026-02-07 18:45:42+00:00
Word is an internal call, it's a function, but the key is that the parameters and local variables are on the data stack and are separate from the return stack. I can call many levels without touching the data stack! Impossible in other languages. However, this does require practice and a change of mindset.
At runtime, the dictionary doesn't exist, and under certain conditions and with the correct compiler, the stack doesn't either; it's converted into registers.
by pjmlp | 2026-02-07 18:45:54+00:00
Which is the same in small European towns and villages, there are only a couple of buses, many of which stop around 8 PM, and tend to occur once an hour in most cases, if not less.

Basic stuff like taking kids to school requires having a car, or being lucky to have some kind of Bus service collecting the kids, for some school levels, and doesn't cover stuff like taking them to other after school activities.

Want to go to the big commercial surfaces? They are all outside the town center and seldom have bus connections.

And many other possible examples.
by Someone | 2026-02-07 18:46:17+00:00
> The shift from male to female is fascinating. In younger drivers accidents are disproportionately male, I guess due to high testosterone buffoonery but in older drivers it's disproportionately female.

When you correct for population size, I think you’ll see that difference largely, if not completely, goes away. There are more women than men in the UK from age 50 upwards (https://www.populationpyramid.net/united-kingdom/2025/)
by nsingh2 | 2026-02-07 18:46:22+00:00
> greed is normal and expected in a free market economy

OK, technically true, just like saying "water flows downhill" when someone's house is flooding.

"The system incentivizes this" and "this is good/bad" are two entirely different statements. One doesn't address the other [1].

What addresses it is changing incentives to get outcomes closer to what we want, and if the system enables bad outcomes, then it's deviant.

[1] https://en.wikipedia.org/wiki/Is%E2%80%93ought_problem