skysight-inc/HackerNews huggingface dataset:
The key phrase they used is "track the movement of any individual". So the state has a legal right to track where cars go, but not necessarily where the drivers/passengers go.

It's mostly going to be a semantic difference in situations with a lone driver, but if it's a shared vehicle all the drivers enjoy plausible deniability.
They shouldn't be able to if they're monopolies.
Using Kubernetes with Rust
Never out of print. If there's an e-copy available to buy, that's better than millions of other books.
You're expectations could just be increasing as you start taking it for granted and are using other models.
We have public funding of presidential elections in the US.[1] The last year in which a major candidate accepted it was 2008, because it comes with limits on fund-raising.

[1] https://www.fec.gov/introduction-campaign-finance/understand...
Particularly on platforms like Reddit, to OPs point about the sentiment on there, because they're so prone to being overwhelmed by low quality AI content if it's not kept under control (which usually means the subreddit banning AI posts with no exceptions). Ranking systems like Reddits require user engagement to work, and most users don't want to engage with a never-ending firehose of MidJourney slop to the extent required to separate the signal from the noise.
That’s true, but this repo has thousands of bugs. They could at least find one that was in the training set, but also did not contain the location in the bug description.

This way it would at least look like it may work
Awesome! Great job!

I made something similar to wish my wife a happy birthday with GDevelop/JavaScript. I thought I had opened the source up... I should do that.

> https://happybirthdaymaddie.com/2020/
> https://editor.gdevelop.io/?project=example://platformer
It seems pretty surprising to me that you can already tell where generative models are going, and that they should be stopped in their tracks immediately. Is there any documented harm yet?
Not specific to Wikipedia:

https://aarontay.medium.com/3-new-tools-to-try-for-literatur...

https://archive.is/Ul13s

Specific to Wikipedia:

Wikipedia Citations: Reproducible Citation Extraction from Multilingual Wikipedia [2024]

https://arxiv.org/abs/2406.19291v1

https://doi.org/10.48550/arXiv.2406.19291

> Wikipedia is an essential component of the open science ecosystem, yet it is poorly integrated with academic open science initiatives. Wikipedia Citations is a project that focuses on extracting and releasing comprehensive datasets of citations from Wikipedia. A total of 29.3 million citations were extracted from English Wikipedia in May 2020. Following this one-off research project, we designed a reproducible pipeline that can process any given Wikipedia dump in the cloud-based settings. To demonstrate its usability, we extracted 40.6 million citations in February 2023 and 44.7 million citations in February 2024. Furthermore, we equipped the pipeline with an adapted Wikipedia citation template translation module to process multilingual Wikipedia articles in 15 European languages so that they are parsed and mapped into a generic structured citation template. This paper presents our open-source software pipeline to retrieve, classify, and disambiguate citations on demand from a given Wikipedia dump.

Prior work referenced in above abstract with some team overlap:

Wikipedia citations: A comprehensive data set of citations with identifiers extracted from English Wikipedia [2021]

https://direct.mit.edu/qss/article/2/1/1/97565/Wikipedia-cit...

https://doi.org/10.1162/qss_a_00105

Datasets:

A Comprehensive Dataset of Classified Citations with Identifiers from English Wikipedia (2024)

https://zenodo.org/records/10782978

https://doi.org/10.5281/zenodo.10782978

A Comprehensive Dataset of Classified Citations with Identifiers from Multilingual Wikipedia (2024)

https://zenodo.org/records/11210434

https://doi.org/10.5281/zenodo.11210434

Code (MIT License):

https://github.com/albatros13/wikicite

https://github.com/albatros13/wikicite/tree/multilang

Bonus links:

https://www.mediawiki.org/wiki/Alternative_parsers

https://scholarlykitchen.sspnet.org/2022/11/01/guest-post-wi...
That’s their goal, no doubt. And I’m sure a lot of zombie projects will be blindly turned over to this type of agent and left to rot. But in practice, these agents will never replace humans, because someone will have to oversee them, and that human will probably just be the “developer” that was “replaced” by them. The work will suffer, the quality will suffer, the enjoyment of the human will suffer, the costs will increase, but some salesperson and some mid level exec will be able to claim they sold and deployed AI and get a bonus.
Good to know they are improving the UX, it's currently very clunky
This is a major component of what drew me to love C# so much for a while. It's also one of those Perfect StdLib(tm) languages. Many of the components do need to be downloaded through nuget; but they are a part of the stdlib!
But this is unders the assumption that developing an optimal solution to a problem is not possible, which it is. This happens rarely though.
Is the Library of Congress really beholden to copyright laws? I guess I assumed as the national deposit library they had a special exemption to copy any damn thing they pleased for archival purposes.

If they don't have that prerogative, they probably should, and Congress should legislate that to be the case.
Isn't this the "who's currently in charge of maintaining the code" file and not the "who originally wrote this code" file?
That's been my experience. RF tends to do quite well out of the box, and is very fast to fit. It's less of a pain to cross-validate too, with fewer tuning parameters. XGBoost has a huge number of knobs to tune, and its performance varies from god-awful with bad hyperparameters to somewhat better than RF with good ones. Giant PITA with nested cross-validation, etc. though.

I haven't read in detail what their validation strategy is but this seems like the kind of problem where it's not so easy as you'd think -- you need to be very careful about how you stratify your train, dev, and test sets. A random 80/10/10 split would be way too optimistic: your model would just learn to interpolate between geographically proximate locations. You'd probably need to cross-validate across different geographic areas.

This also seems like an application that would benefit from "active learning". given that drilling and testing is expensive, you'd want to choose where to collect new data based on where it would best update your model's accuracty. A similar-ish ML story comes from Flint, MI [1] though the ending is not so happy

[1] https://www.theatlantic.com/technology/archive/2019/01/how-m...
What about it's ability to choose pricing based on source-destination and projected incomes.
>How exactly does knowing that Celebrity X traveled from LA to NYC yesterday "pose a risk of physical harm?"

It's not just "travelled" it's "travelling". You can track the jet in realtime and if on a flight plan (which is most of the time) you can determine their destination ahead of time along with a highly accurate arrival time.

Paparazzi or more nefarious actors can then wait at the private airport terminal. It's also not theoretical as Elon's ex-wife + kids were attacked using this method and Paparazzi uses it regularly.

The best argument against this is that Meta banning it doesn't do much as people can still query FAA data directly.
Would love to see how you’re defining optimal. That usually depends on having one metric
Indulgences also paid for the art of the renaissance. It was because pope Leo X was so into art that he stepped up indulgences, causing Luther to protest. So renaissance art has more blood..?
That's true, but I prefer to ingrain habits that'll work everywhere, instead of relying on stuff like vps console access which will work fine if you're working on your ec2 instance or your DO droplet, but will not work out so well when it's your home server or colo-ed box that you're trying to remotely secure from a hotel room while traveling.

But as @wink points out, these days you also need to ensure you've actually got at available - which is not guaranteed especially with cut down distros like Alpine.
It will suck to babysit LLMs as a job. In one sense perhaps it will be nice to have models do the chores. But I fear we’ll be 90% babysitting. Today I was in an hour long chat with ChatGPT about a problem when it circled back to its initial (wrong) soliton.

I have very little fear for my own job no matter how good models get. What happens is that software gets cheaper and more of it is bought. It’s what happened in every industry with automation.

Those who can’t operate a machine though (in this case an AI) should maybe worry. But chances are their jobs weren’t very secure to begin with.
Knight (Playing Card)
Note that an outsider is likely not going to have the full picture at a glance, so even if it seems like a "wow, this parent is irresponsible and bad" situation, give some leeway. There are plenty of bad eggs, but also just people having bad days or something else entirely.
There's zero first amendment problem.

Because you're free to post as many false reviews on your own personal blog. Nobody is silencing your views.

But a product page is not allowed to publish those views. And businesses have never had first amendment rights to publish falsehoods.

It's no different from ingredient listings on food. There's no first amendment right for a business to lie about the ingredients.
I'm sure it's not a unique experience in any way, but thinking about space and the universe fills me with a weird and overwhelming... Dread? I don't know how to word it, but it feels terrifying thinking about the scale of it all, the numbers involved. So many galaxies, stars, planets. It feels like we have no hope whatsoever of ever seeing anything other than our little comfy nook we have here in our little solar system, and even then the scale involved is just incomprehensible.

I'm always speechless when I see these. Simply mind boggling
Unless they clean up the homeless problem, no one will want to go down there
You should say services, not products. People who make products can't generally choose who gets to use them.

But, in any case, private companies should never be both allowed to do what they like and allowed to be monopolies. Since we don't break up monopolies any more, that means they can't be allowed to do what they like.
Decision makers and those writing the check aren’t sophisticated enough to know the difference, in my experience with orgs that buy from IBM.
Well yeah. Time and budget can be limited. The "best" way to learn a language is to travel to a country native to it and immerse yourself, constantly attempting to speak to others. But that may not be accessible in time nor costs to travel and live. The "best way" to learn many topics is to immerse in a community that's a mix of learners or experts. ie. A classroom setting. A place to constantly iterate and quickly correct mistakes. But education is only getting more expensive, and not all communities are equal.

If there's a great beginner textbook out there, that can definitely help. But not every field has its Bart-Sutton easily accessible. But the time it takes doesn't necessarily matter as much as the mastery itself.
Under $20, nice: https://www.etymotic.com/product/etyplugs-high-fidelity-earp...
Your description of the location of this mine doesn't match your Wikipedia link.

Searching in Google Maps, Thacker Mine comes up as 40.58448942010599, -117.8912129833345. As you say, that is near I-80 and Mill City, and there is nothing there.

But Wikipedia says it's at 41.70850912415866, -118.05475061324945 in the McDermitt Caldera, nowhere near Mill City or I-80.

I'm thinking probably don't trust Google on this one. :)
It's like everything, one small part of a groups give the rest a bad name.

There are a small group that "make the most noise" and give a bad impression. I can admit I did have n impression from bad experiences and did find myself generalising but after working with and meeting many more Romanians, great friends and great people overall, it sounds stupid saying it out loud now, but they're just like everyone else. Personally I try to be more aware of those conceptions, articles like this though just seems to want to put "Romas" into a group too.
> What's not a rarity though is apps (or code in general) that you don't fully trust, and that you don't want to give a chance to exfiltrate all your data for example.

How many of these do you have? I have 1 and I have it installed via a flatpak with sandboxing (that has no access to /tmp).

Flatpak's are an implementation of that container model for software on Linux.
Haha I don't know if I would call that passing. He's eating spaghetti off the table...
He implies he got involved with this Canadian MAGA type party because no one listens to him. How does that make you, someone who sits down with him regularly and listens, feel?

I bring this up because in my experience, people are rarely honest about why they support such politics/politicians.
Well there is no theft ahah

But even if by "theft" you mean "copyright infringement" there is a strong argument for fair use, we humans consume large amounts of copyrighted content and are influenced by it in everything we do, I don't find it unethical or wrong in general, and I don't see how it should be any different for a machine, unless you are against job automation, but in this case you seem to be worried about "theft".

Edit: HN thinks that I'm posting too fast so my reply to the comment below here ahah: "Well, then we agree that it wouldn't be a problem if the model didn't output an image from the training dataset, which is extremely rare or essentially impossible with today's dedup steps used during dataset creation."
Developers are not going to go away, but the cushy high salaries likely will. Skill development follows a logarithmic curve where an AI boost to junior devs will be much more than the boost given to senior devs. This discrepancy will pull down the value of devs as you will get "more band for you buck" from lower tier devs, since the AI is comparatively free.

Although I also wonder about the development of new languages that may be optimized for transformers, as it seems clumsy and wasteful to have transformers juggle all the tokens needed to make code readable by humans. That would be really interesting to have a model that outputs code that functions incredibly but is indecipherable by humans.
If only he'd had art models to reduce the need for indulgences to fund art.
I had the exact same experience. Just calling an API call "agent" and giving it a system prompt like "you are a robust data analyst" doesn’t magically make it one. That’s not how it works.

My first conclusion is that it’s mostly hype. And honestly, $18M isn’t nearly enough to make AI agents reliable and useful, because solving that would require breakthroughs in reasoning—something we're nowhere close to. Even o1 fails miserably at most real life reasoning tasks despite the hype from openai. (https://www.lycee.ai/blog/why-sam-altman-is-wrong)

It seems Crewai is more focused on deploying AI agents now, hoping that reliability will eventually come from improvements made by foundation model companies. But that's a highly uncertain, almost wishful, scenario. And they shouldn't go around screaming that AI agents are reliable in production yet.
I would say it’s much worse then “not ideal”, they may have poisoned the well for decades to come.
Not needing an ORM made me laugh
nextjs example seems broken, any idea what's going on?

unhandledRejection: Error: ENOENT: no such file or directory, open 'Civet/integration/unplugin-examples/components/button.civet'

also by default build is broken due to
error TS5110: Option 'module' must be set to 'NodeNext' when option 'moduleResolution' is set to 'NodeNext'.

changing it still doesn't fix the not being able to import the civet button
The companies that have a data moat and no AI are in a much better position than those who’ve got it the other way around.
And today they added a new AI abuse clause to their t&C's lol.
Media in the sense of sensationlist dopamine hits is bad for society in the same way smoking is bad for your lungs. It'll get you high, but you will become worse off for it because you waste so much time and energy being artificially angry about shit that doesn't matter to you. The worst case is when the media is being sensationalist propagandists on someone's dime, then you're artificially angry about shit strictly for someone else's benefit.

Proper journalism, which the media is not, is the so-called Fourth Estate which is of great benefit to society and it isn't impossible. However, proper journalism like any product of labor costs money. Most people by and large do not pay for content that isn't sensationalist, and proper journalism cannot take public money from the government due to conflicts of interest.

The practical prerequisites to enable proper journalism therefore make it impossible.
UiPath can't figure out how to make a profitable business since 2005 and we are nearing the end of this hype cycle. I am not so sure this will lead anywhere. I am a former investor in UiPath.
The relevant equation is for kinetic energy, which is 0.5mv^2. Using your numbers that's about 4.5E+7 Joules, or the energy of about 10kG of TNT exploding. That will certainly make a dent, and your space ship won't survive many of those.

I was thinking v would be more like 10% of c, which would mean about 1000kG (1 kiloton) of TNT, or about 1/20 of the energy of the Hiroshima atomic bomb. From a particle of dust weighing 10mG. You'd be toast.
But you'll have to have all users be members of the group then. That gets you nothing.
The tyranny of the majority. Doxing "me" should of course be illegal but for certain groups of "others", it's just fine.
It sounds like the difficulty is mostly in the "book train", "book flight", and "book hotel" steps along with the associated rollback actions. Booking.com and Expedia probably have built their moat around aggregating these steps. If anyone works in this industry, I'd love to know if that's not the case.
This is integrating over a distance, not a time. If you stay stationary you never get to your destination and get an infinite amount of rain (and the question is just ill posed).

If you move with even a tiny forward velocity then you'll start getting a few raindrops on your front. As you go faster, you get more rain per second on your front but spend less time in the rain.
Since you're here - why decide to write something from scratch for mysql instead of using/improving postgres? Seems like a very strange decision. MySQL is a poor RDBMS in comparison.
Sortition.
At the enterprise level my understanding is that PlanetScale can operate within your environment directly instead of as a pure service.
Google has the tech (some of it's gathering dust, but they have it). They can use the gameplay tech developed for stadia when a user experiences lag and combine it with their LLM.
> It’s not the 80s anymore where we’re logging on to a shared mainframe

It's even worse than that: We're all using the same shared applications on some cloud.
BazelCon 2024 Recap
The tendency for people to spam AI images in contexts devoted to sharing images of real stuff is particularly irritating.
New ASIN. They can take a physically unbranded product and list it under a new name brand at will. They can change the quantity or bundle. They can change an irrelevant attribute. Amazon plays ignorant.

I sell a product there and some of my competitors are doing those things I listed. Their reviews are also very obviously fake. I’ve also received some obviously fake negative reviews. I’m not really holding out any hope that it’ll get better anytime soon.

I just reduced my Amazon advertising spend so I can focus on other channels. Also a little bit out of spite.
That was a good decision, because the rule creates a negative responsiveness paradox. Spending money to support your preferred candidate should not make opposing candidates stronger.

That was the effect of Arizona's rule: money spent to promote a candidate was matched by free public money, which the opposing candidate did not have exert any effort to obtain.

Good voting systems minimize this effect. The US first-past-the-post system is not a good voting system, but that's no excuse for making it worse.

https://en.wikipedia.org/wiki/Negative_responsiveness_parado...
Not bad, but can be improved. I've been putting work into it lately, will keep adding more. Lots of examples in the repo as well.
Don't like it? Fly commercial.
China next? And then they cry that Linux does not have enough maintainers...
A person who can't even legally own a gun due to his status as a felon is about to become commander and chief of the military. "Dark subsection" is pretty mild.
i have to ask, do you also count world war victims as victims of the printing press because military orders and propaganda were printed on paper? is the the telephone, copper in the wires and electromagnetism itself also complicit in genocide, because they were used for communication in nazi germany?
Sure, POSIX is basically Unix as standardized over several decades. Unix is 54 years old. Containers are a very recent development. POSIX is behind. But you do have the option to use containers/jails/zones, it's just not POSIX. What does any of that have to do with TFA?
Yeah, no, things have changed in the last 30 years...
Beyond Reasoning: Anthropic's Agent
Commons-Based Peer Production
The rest of the episodes are great too, this is legit my favorite podcast.
Where’s the joke?
This comment reads like LLM-generated text, but like... a pretty old version where it's basically MCMC text generation.
Well, I suppose that depends on the images you choose to run, and how you choose to build them, but I've never seen one that didn't have a /tmp. Have you?
What worries me most is because there is no way to prove the negative value of these agentic scams and because swe teams are (sadly) compressible to some extent, some companies will simply let go 10% of their workforce while the remaining 90% will have no choice but to keep grudging with the additional “benefit” of having to show the positive value of this scam to their hierarchy (unless they want to apply to the 10%). So much waste and sadness all around.
I didn't check back on this until now, but no, I wasn't baiting. I was literally curious whether he thought this was specifically a problem for boys for some reason, and why? Or is it a universal issue? The article didn't really mention gender, so I wasn't sure if he was bringing some insight not mentioned in it.

I think there are a lot of challenges faced by boys that are worthy of attention and resourcing. Some of them may be biological some may be socially constructed. To an extent, it doesn't matter the causes, because the issues still exist.

FWIW, I consciously tried to phrase my question as not some kind of set up for a dunk. As much as you might think people are sometimes woke baiting, for lack of a better term, the counterreaction is just as much of a minefield.
Publications have had a very negative tilt since GPT4 showed up. It's no surprise since LLM's are clearly an existential threat to them.

Transformers are also a very real existential threat to artists, as the vast majority can only ever have a decent career "working for the man", which is ultimately run by business people who could care less about AI generated material if it dramatically reduces cost while being effectively identical.