skysight-inc/HackerNews huggingface dataset:
Well funny story, some twenty something years ago I actually worked on an election cycle volunteer infra thing in France, and living in Paris which is department 75 and therefore 750xx the prefecture being 75000 I assumed it was neatly hierarchical 75004 won't be far away from 75003 (true)... The French thing being orderly and rational.

I didn't need much precision so truncating seemed an easy way to group stuff.

Oh the surprise. I never again made such assumptions, let's just say I should have gotten a clue from Corsica being 2A and 2B.
Redox has stayed drama free so far.

I am sure most people involved with the Linux rust effort are also not problematic; these would be very welcome there.

OTOH, please don't let Redox be taken over by problematic people.
Meanwhile there's a handful of companies (the one I work at included) using AI to automate code reviews.

Sure, these tools are not as good as a real human. Yet. Just like 3 years ago companies were starting to ban candidates to use GitHub Copilot, pretty soon candidates WILL find a way to either have ChatGPT open on the side, or listening to the operating system audio and providing real time suggestions during the interview (yeah I know this can be done today).

We either go back doing things on site, or we go crazy and let candidates use whatever they want during an interview. Want to use Cursor and Perplexity + R1? Sure, why not. This is what people are using at work anyway. This probably means interview conclusions are going to be even more nuanced, it can't simply be they solved the problem or not (and the interviewer liked the person), but during the actual conversation things moved organically to whatever direction the topic led to - which is what actually happens at work when pairing.

As you can see I have no idea how to "solve" this problem moving on, but one thing is for sure, the bigger the gap between tooling involved in actual work vs the interview, the bigger this problem is. It's one thing to ask people to write code on a whiteboard for 30 minutes (because they "write" code in a text editor), and another thing to ask people to write code in a whiteboard and the actual work is people chatting with AI Agents to produce so much software in 30 minutes that the entire thing would look like side projects 5 years ago.
This is great until it hallucinates rows in a report with company assets that don't exist - why wouldn't a mining company own some excavation equipment? - and pollutes all future searches with fake data right from the start.

I laugh every time I hear someone tell me how great VLMs are for serious work by themselves. They are amazing tools with a ridiculously fluctuating (and largely undetectable) error rate that need a lot of other tools to keep them above board.
Perfect example of a fantasy put forth by an executive.
What exactly is your point? I should be part of the “hustle culture” and work my main job and a have a side gig and sacrifice my free time?
Heck yeah! Awesome work.
A better hedge might be private prison corporations and private military contractors.
Ok, we've made the title less mysterious (and less epic) above.
> reveals just how formulaic and predictable the response and banter is designed to be

Accurate. Interviews have to be formulaic and predictable. That's how you combat bias in the system.

Kahneman's book on Noise (in decision making) has a whole chapter on interviews. With careful design to avoid bias you can get to about 75% accuracy measured as correlation between Yeses and Job Performance. Without having repeatable interviews judged against a pre-defined metric, your signal becomes meaningless. You're basically flipping a coin so why even bother.

Or worse, you get people passing interviews because they went to the same school as the interviewer or whatever. In that case your un-designed un-formulaic interviews become literally worse than random.
> To me it looks like that for Linux big part of R4L experiment is to specifically understand whether Rust people can convince key stakeholders that R4L is good idea and get their buy-in and that is why he doesn't attempt to force it.

This is the entire point. This has been DONE. First its "lets see if you can build a good driver", now its "ew rust". The maintainer of the DMA subsystem is showing how they're actively trying to make sure Rust doesn't make it in. .
Neither default makes sense for everyone in this case.. better enforcing explicit preference choices
*disclaimer that I'm the founder of Ropes AI, & we're building a new way to evaluate engineering talent*

Discourse here always tends to be negative - but I think that AI really opens the door positively here. It allows us to effectively vet talent asynchronously for the first time.

Our thesis is that live interviews, while imperfect, work. If an engineer sits down with a candidate and watches them work for an hour (really you probably only need 5 minutes), you have a good read on their technical ability. There's all of these subtle hints that come out during an interview (how does the candidate approach a problem? What's their debugging reflex when something goes wrong? etc) - seeing enough of those signals give you confidence in your hiring decision.

Well - LLMs can do that too, meaning we can capture these subtle signals asynchronously for the first time. And that's a big deal - if we can do that, then everyone gets the equivalent of a live interview - it doesn't matter your YOE or where you went to school etc - those that are technically gifted open a slot.

And that's what we've built - a test that has the same signal as a live interview. If you're able to do that reliably, it doesn't just provide a new interview method for a new system - it might change how the recruiting process itself is structured.
Pls contact archive.org about adopting this digital archive once it exists (they also have a bad habit of accepting physical donations, if you are nearby)
I don't think anyone is seriously suggesting there aren't flags, and a lot of them. The argument is that this is pretty much how HN works and is supposed to, for most repetitive topics. You can certainly make the case it should work some different way, either in general or for this topic specifically. But it's not some nefarious plot.
ehh it wont(ymmv?) kill ya but it sure will rock your world that is certain. truly ill-advised would be to take 60-100mg of benedryl with them, that will shatter reality itself
https://archive.is/vuBE5
So are we just going to ignore COVID as an impact on the most recent staffing issues?
Try sending an image on green.
UK is a dystopian nightmare, very grateful to the founding fathers for sending them back to the island.
parenthood never ends.

maybe you￶'ll find that out someday.
Koenigsberg is a somewhat known name due to Euler's bridges problem. Kant also lived there.
Both URLs blocked by corporate firewall because of bad SSL.
What's your experience been?
This universally fails, on anything from frontier models to Gemini 2.0 Flash in its custom fine-tuned bounding box extraction mode.
Copyright does not protect knowledge. If you can write a full OS from scratch, Microsoft will not come sue you because they had the knowledge before.
You broke the site guidelines badly in this thread, more than once. Not cool.

We ban accounts that do this and we've warned you more than once before. I don't want to ban you, so if you'd please fix this, that would be good.

https://news.ycombinator.com/newsguidelines.html
Aren't the LLMs also pretty decent code reviewers? Sure, not perfect, but the suggestion that we should use code review as the replacement for the coding challenge 'because AI' seems a bit misplaced...
Right, with modern technology my understanding is HVDC (essentially 0HZ?) is the way to go now (high voltage to minimize resistive loss, DC to minimize skin effect) if we were building a new grid with the same wires, but not economical to retrofit an existing system that is already working, since it is already working
> but I don’t want to spend hours figuring out a signing flow.

That part is trivial, the real pain comes from dealing with the certificate providers.
> And why should I simply assume that "Education Economists"* really know the subject they purport to talk about?

I'm glad we've arrived at Fox News level takes. At least we can all admit what we are here.
It's not possible with current gen models.

To even have a chance at doing it you'd need to start the training from scratch with _huge_ penalties for filling in missing information and a _much_ larger vision component to the model.

See an old post I made on what you need to get above sota OCR that works today: https://news.ycombinator.com/item?id=42952605#42955414
As to why the questionnaire exists - It's the equivalent of something that's very common in the private sector. A company gets thousands of applicants for a job. They only have the resources to interview some small percentage of that. So they develop a very rough filter to narrow down the pool to something manageable. For instance, if it's an entry level job they'll typically just categorically reject anyone who has an advanced degree or more than a few years of work experience because they figure that person will leave for a better job as soon as they can.

That's what the questionnaire was designed to do. The other steps in the hiring process take a lot of time and resources (proctored exam, referrals, medical testing) so they wanted to put a rough filter in front of that to reduce the numbers to something manageable.

As to why they would give a higher weight if you said your worst high school subject was science - that's the part that I think was just an overfit model producing nonsensical results. That kind of statistically-significant-but-nonsensical parameter is exactly what Freedman's Paradox describes.
Amusingly in go 1.24 they're turning srand into a nop: https://github.com/golang/go/issues/67273
"Total count of non-national-chain restaurants within a 1km walk" pretty much determines my criterion. Everything else is a once a week thing or less. The homes themselves are just a bunch of rooms, and I'm flexible. Quality of life is defined by my stomach.
Taking MDMA every weekend is like drinking a few glasses of hard liquor every day. Meaning, only completely delusional and uninformed people would think it won't destroy your life.

Of course, many people still do it. But they are fully aware of what road they're taking.
One thing someone else posted is that poultry farms are 1000 to 10000 times bigger in just number of poultry per facility in the USA, some news report speculation this issue is going to force USA poultry farms to vaccinate - this is already done in Mexico and much of EU including NL, but vaccination has been politicized in the USA and it would cut into profits sans bird flu and corporations run the show here. We know vaccination works because the countries that adapted it stopped it from infecting their farm stock.
You know perfectly well that the original top comment was expressive and hyperbolic in nature, stop trying to analyze it as if it were a dry quantitative claim. The point, which is extremely obvious, is that many posts are being systematically flagged for reasons of favoritism.

They're clearly HN relevant, given that they relate to a tech titan effecting drastic changes in government structure, with significant security and other, by technical rather than legal means. Systematic flagging of posts about the activites of the Biden administration would have been equally questionable.
Ok, so unless I'm missing something, this is a big error.

In 9.4 there's no way reallinux/master points to same commit as master after the merge. It will still be where it was, one commit behind.
Are you targeting business or consumers?

I cannot find the pricing page.
I got to talk to him once and he's a nice guy. Cool of him to go on Lex Fridman's podcast too.
I was just trying a bunch of models for OCR. I only have 4 GB of VRAM in my personal machine.

My goal was to run an OCR model locally and extract text from scanned PDFs.

Many models could not even be run. Among those that did run, thanks to Ollama, provided very poor experience. Like llava-llama3, phi3.5 vision, etc.

What worked really well, but still not up to the mark- Surya [0].

It works perfectly on screenshots from true text PDFs, but not from scanned PDFs. Also has much better performance for English than Indian languages.

[0]: https://github.com/VikParuchuri/surya
How is the strategy for backups and redundancy in a setup like this?
Like any generalizing claim, mine has exceptions.

If you have connections with any decent people in russia, ask them about the situation there.

> simple lesbians get jailed for said “crimes”

That's exactly the point.
The simple things in life are the best things
The concept has potential...

It's still an aggregator of links though.

You're missing the "zero effort" factor, which could be achieved by summarizing the content and generating some AI cartoon or video based on it. It would be somewhat costly but much more fun to browse.
If a company I am interviewing at tried to make me interview with some LLM instead of sitting down with an actual person, I would dip from the process. To me, only junk companies would use such a tool, so I guess it does serve the candiates as a massive red flag.
I did this a few times and found it miraculous. The doses were sub k-hole, it just made the world seem cottony and soft. The effect on my psyche was lasting and positive.

A friend who struggles with depression found it useful for a while, but its effects didn't continue after a number of doses.
Vision language models are blind (2024) [pdf]
Earth is the only rocky planet in the solar system with a magnetic core so that'd be 1/4 at least.
I think the goal is to find ~4T $ to cover next batch of corporate tax-cuts.
How does your solution compare to AWS textract?
And monopolies do the opposite.
we completely agree - mechanistic interpretability might help keep these language models in check, but it’s going to be very difficult to run this on closed source frontier models. im excited to see where that field progresses
Any experience selling AMIs on AWS Marketplace?
AWS Marketplace allows AWS users to buy AMIs, containers, among other things (SaaS, consulting, etc). Does anyone here have experience selling goods (AMIs or containers)? Not interested in SaaS / service.

It seems like there is potential here for good revenue, but the only small company I can find talking about this is Cloudnaut / Wittix.

Obviously marketing in a large App Store is difficult, but does AMI renting work well for buyers? How do version upgrades work (for both buyers and sellers)?
Yeah yeah vote for the other clowns next time, they'll definitely roll back these totalitarian policies :)
In the future we'll be essentially testing how well candidates can steer these models anyway
> I'm in the "failure" camp, because the true correctness of an answer comes from how it was reached.

Something I may have believed until I got married. Now I know that "fnu cwken" obviously means "fresh broccoli, because what else could it mean, did I say something about buying chicken, obviously this is not chicken since I asked you to go to produce store and they DON'T SELL CHICKEN THERE".

Seriously though, I'm mostly on the side of "huge success" here, but LLMs sometimes really get overzealous with fixing what ain't broke.
Old Salesman's PoV: "Don't waste your time with anybody who asks how much extra a stabilization system might cost. They obviously can't afford the base model anyway."
I wouldn't want a kettle that wears out after only 3-10 years of use.
yeah, they had to buy what they can get.

IIRC it was German AEG and General Electric
That the alleged leak was to a competitor rather than the public is a bit of a giveaway.
Check the output again, there will be small mistakes if your text is large enough.
> Well - LLMs can do that too, meaning we can capture these subtle signals asynchronously for the first time.

Can you prove that they can accurately do this and not be gamed? I know humans can be, but like you said AI involvement increases scale. Gaming human recruiters is hard at scale. Gaming AI recruiting can be very lucrative at scale...
Unfortunately, integration, as opposed to derivation, is made of pattern recognition. It's simply that way, like differential equations.
Boeing is preparing for the possibility that NASA cancels the SLS rocket
There is a lot of waste (or, to be generous, inefficiency) in the DOD, but the DOD budget could be entirely wiped out and we'd still have deficits. The last time the DOD budget was larger than the deficit was FY16. After that, FY17, FY18, and FY19 deficits were $0.67, $0.78, and $0.98 trillion, then a whopping $3.13 trillion for FY20.

If we want to really tackle the deficit we probably need to raise revenue at least for a while, get the debt itself down (debt payments are a large percentage of the budget, and of course compounding). And figure out how to get Social Security, Medicare, and Medicaid to be more efficient or just say fuck it and cut them.

So far this FY we've accumulated another $700 billion in deficits with $1.79 trillion spent and about $1.08 trillion in revenue. If you look at the spending by agency, the DOD so far this FY has spent $250 billion, a bit more than 1/3rd the new deficit. HHS and SSA are $452 billion and $395 billion.

https://fiscaldata.treasury.gov/americas-finance-guide/natio...

https://www.macrotrends.net/global-metrics/countries/usa/uni...

https://fiscaldata.treasury.gov/americas-finance-guide/feder...
I've been looking for a tool like this forever.
Trying it for my city (Milan, Italy), and it's pretty accurate.
Would it ever be possible to specify which type of public transportation to consider (ie: only metro, only bus, ...)?
There's very little room for deviation as well because it is so formulaic. Present a novel and interesting system? It may not be realistically solvable in a 30-60 minute session to a satisfying degree because the candidate doesn't have familiarity.

From the candidate side, you can take a risk and make it more interesting by presenting more novel solutions, but the interviewer might be looking for very specific response patterns; "signaling" of a sort. So both sides just stick to a narrow range of scenarios and responses.

Once you've done one or two, it's hard to see how you couldn't do every other one after it.
When I was going through a rough time and SSRIs weren't helping, read all the research on what other solutions were out there. Psilocybin seems to be the most effective but is only legal in Oregon and price quotes were $3,500 for one session. Ketamine coupled with TMS (Transcranial Magnetic Stimulation) was the second. Since both are legal and my insurance covered them, opted to choose these. I will say that the various meta-analyses have some conflicting results.

TMS seemed to be pretty effective for me. It feels incredibly silly to have your brain zapped and is a big time commitment (30 days, 1X a day for 10 minutes) but I can't argue with the results.

Ketamine was something else. I did it intravenously, which seemed to be the best way to manage dosage but required going into a clinic. The biggest downside to the whole treatment is that you'll be very drowsy and sometimes down after, and all I wanted to do was go to bed. Taking the Uber home is not pleasant. The esketamine nasal sprays allow you to do it at home at lower dosages.

Once you get over the feeling of leaving your body, it can be quite nice. Overall, it led to unblocking some life time hold ups I had, and made me a better person. I had 5 sessions, 4 of them were overwhelmingly positive. The last was a dark couple hours where I hyperfocused on all my internal fears and failures. It also led to a lot of existential thoughts and questioning the fabric of reality which isn't all bad in small doses. I can see how excessive use could start to be counterproductive, it's good to stay connected to this reality. I don't understand how people use this as a party drug.

I would absolutely recommend it in a controlled setting for limited treatment, but would caution those with addictive personalities to be careful, not to see it as a silver bullet or a crutch, to make sure you're in a neutral mental space and that you're comfortable wherever you're doing it. In tandem, I listened to a fair amount of buddhist podcasts from Joseph Goldstein that helped build out the spiritual/learning side.

I'd like to see psylocibin treatment be more readily available at a lower price across the nation as an alternative.
Agreed! An LLM interviewer is probably almost insulting. The idea here is that the signals are implicit in the user's coding patterns (e.g in a take-home format etc)
Modulo supporting more algorithms -- yes
Arithmetic in particular is from India. Indians have a long cultural history of using arithmetic. Even today, my mom who is categorically not a technical person, will randomly use a computational technique I'd never seen before to do her sewing, cooking or measuring. My grandmother, barely educated, did the same thing. They were extremely good at daily calculations. To the point where whatever I picked up off of them helped me win several 'fast math' competitions as a kid in LA. I'm not particularly good at arithmetic.

My guess is that even a not really educated / barely literate Indian kid will be able to do arithmetic, simply due to cultural knowledge.

The schoolchildren do well because they've been exposed to logic as well as arithmetic, and also given a systematic overview of the whole thing, whereas the market kid is just applying whatever was passed down culturally.

However, I don't think we can necessarily transfer this study outside of India to assume that kids from other areas who are forced to work in markets will be good at arithmetic either. In my opinion, this is a unique cultural condition in India which reflects arithmetic's development there. Indian numerals and arithmetical algorithms were first introduced to Europe in the 13th century. The first records of their use in India go back to the first century AD. Thus, it's had a lot more time to 'soak in' to the common culture. I think it would be a good exercise in 'ethnomathematics' (is that a thing) to document all the algorithms used by the various laborers / uneducated productive workers in India. There'd probably be a few gems there.

My two cents; maybe a controversial take.
Germany is not a sovereign nation.
Putting AI to Work on Technosignatures
I'm somewhat surprised neither this article nor the previous one mention anything about the Florence-2 model series. I had thought that Florence-2 was not just surprisingly capable for this kind of work, but also easily fine-tunable for a particular kind of document, when you expect to process a lot of instances of that document and want to further optimize accuracy. It's extremely small (0.23B and 0.77B parameters), so it's easy to run, easy to fine-tune, and probably unlikely to overthink things.

https://arxiv.org/abs/2311.06242

https://huggingface.co/blog/finetune-florence2

https://blog.roboflow.com/florence-2-ocr/

https://www.assemblyai.com/blog/florence-2-how-it-works-how-...

I don't personally deal with any OCR tasks, so maybe I misread the room, but it sounded promising, and I have seen some continuing interest in it online elsewhere.

In addition to the architectural issues mentioned in OP's article that are faced by most SOTA LLMs, I also expect that current SOTA LLMs like Gemini 2.0 Flash aren't being trained with very many document OCR examples... for now, it seems like the kind of thing that could benefit from fine-tuning on that objective, which would help emphasize to the model that it doesn't need to try to solve any equations or be helpful in any smart way.