skysight-inc/HackerNews huggingface dataset:
There are many people who work on open source professionally, but as a hobbyist programmer I find it odd to worry about Copilot automating my “job.” This is like complaining that your dishwasher or robot vacuum cleaner automates your job because you don’t do the work by hand anymore.

If you’re getting paid then it makes some sense to worry about automation, but if you’re not, automation is good. You can do more. The community can do more. We can take on more ambitious projects.
> If my rant is not suitable here, then I’ll delete my comment.

Yes.

> I would appreciate any help however.

Wait a day and try the website again.
python numeric libs, matlab, octave
I don't understand why you would expect Google to state that. They have been standard technology for almost 2 decades. You don't see google claiming they use jtag or using SPI flash or whatever. It's just not special.
Then don't punish. Reform, correct, fix. A lot of people will still see that as punishment (like they would see army bootcamp as punishment), but then we would just start disagreeing.
> If x.com was shut down in Russia

What the hell are you on about? Twitter has been 'restricted' in Russia since March 2022.
Get unstuck from a creative rut
> there are plenty of targets for terrorists: packed trains, stealing a big truck, etc.

The counterargument is that blowing up a train or stealing a truck usually doesn't poison the local area for generations. Higher risks means some consideration is due. If the stakes are higher but the probability is the same, the expected value is still higher.

I for one don't want to live in a hellscape pockmarked by miniature exclusion zones.
> I've always used .yaml and have never understood why someone would choose .yml.

Because it's what the documentation says. For instance, the "Getting Started" example at https://docs.flatpak.org/en/latest/first-build.html says "call it org.flatpak.Hello.yml" - and that's Flatpak, which has always been a Unix-specific thing.
I expect SMRs would be protected as standard nuclear plants are.

Therefore, these are not easy targets and we've seen that they are very easy targets everywhere that will have the desired effect.
These are not new, but my takeaways from https://tratt.net/laurie/blog/2020/which_parsing_approach.ht... and https://rust-analyzer.github.io/blog/2020/09/16/challeging-L... are to embrace various forms of LR parsing. https://github.com/igordejanovic/parglare is a very capable GLR parser, and I've been keeping a close eye on it for use in my projects.
Makes sense at a technical level, but the threat this is meant to mitigate (FB's servers/TLS certs get compromised and start serving you malicious JS scripts, a browser extension pings Cloudflare and sees that the hash is incorrect) is a little too far fetched. For example wouldn't the attacker also be able to update the expected hash on Cloudflare's side, considering they have already compromised FB's servers?
Well we can just ask Gemma to generate images of the meetings, no need to imagine. ;)
>Ask Google Gemini to “make an image of a viking” and you’ll get black vikings. But it doesn’t work both ways. It has an explanation when challenged: “white Zulu warriors” would erase “the true historical identity” of black people.

https://twitter.com/ThuglasMac/status/1760287880054759594
choosing to accept an unnecessary quantifiable liability and wrapping it in a disclaimer as part of a critical business process is not a recipe for sustained growth or profit.

AC and other corporations would do well to put the brakes on this instead. identify ways to transfer risk (AI Insurance for example) or avoid risk (scrap the AI bot until the risk is lowered demonstrably.)

savvy advertisers would jump on this opportunity to show just how much AC cares about the customer and eat the loss quietly before it ever went to trial.
Right, so let me get a tow truck, register it to a location, get caught going down the road with it on cameras... etc.

Or buy a 200-dollar device and walk up to a car in a hoody and steal it?
Amazingly written, hilarious, but I figured out what’s frustrating me: the focus on being a consumer. If you’re using words like “enshittocene” I feel you should think a little more about writing a post focusing on why Google isn’t helpful for product reviews. Google n co are destroying democracy and the planet itself, and to spend our final days complaining that sometimes people buy bad products seems out of touch.

Google literally has one job: to detect this kind of thing and crush it. The deal we made with Google was, "You monopolize search and use your monopoly rents to ensure that we never, ever try another search engine. In return, you will somehow distinguish between low-effort, useless nonsense and good information.

I don’t think it’s fair to say Google has “one job”, and I think this is the core example of the status-quo bias mentioned above. We didn’t agree to a deal with Google! We never had a chance. Maybe this author did, but 99% of people think of Google like Walmart IMO: a fact of life.
Show HN: AI native task manager and personal assistant
If they're going to ship immediately, then they can know before you place the order. If there's another entity involved (third party seller, backorder, etc.) then they might not be able to know when it will be shipped with much certainty.
>low-cost ADALM-Pluto

~$250, meanwhile Chinese nanoVNA clones are ~$25-40, add prescaler and you can reach 6GHz.

Anecdotally I have seen nanoVNAs being used with directional antennas in Ukraine as crude drone finders. https://www.reddit.com/r/CombatFootage/comments/1afspa8/comb...
What I am excited about Pijul is being able to maintain a personal codebase that can accept changes from multiple upstreams. I’m not looking at commercial teams as much as homelabs or local-first environments.
He's like an actually smart version of Nicholas Nassim Taleb. Arrogant, egotistical and dismissive but at least he has real math chops.
I hadn't seen this before. Thanks for posting! My 8 year old will get a kick out of this!
Governments are formed by single cultures with a shared value set, and a set of ethics that they believe in. Your statement that laws aren't needed until they are is accurate.

As those shared values are lost, the ethics built upon them erode, more laws are constructed. However, there comes a point where this system of check and balance can no longer function properly, and eventually, the system either becomes too unwieldy to function, or else the system is destroyed due to rebellion or anarchy.

Why? Because law is an attempt to encode ethics based on shared values. No culture which does not share values can long endure when attempting to solve the problem through increasingly complex rules with no underlying theme.
The Relationship Between Weather and Children's Behavior (1997)
React is a JS library, so it needs a JS runtime to execute outside the browser.

It's hypothetically possible to use a JS runtime as a subprocess from another language to use React for plain HTML SSR, but it probably wouldn't work for React's streaming HTML generation (or at least would likely be very difficult to get working).
Ferret might be nice as a temp solution to get away from mongo, but i think it would be better to do a proper migration and go to plain old postgres tooling.
This has nothing to do with economics.
Unable to get proper string reversal even with Mixtral

https://hf.co/chat/r/H8Jrn_f

Based off Karpathy's BPE video highlighting ChatGPT being unable to reverse this string-> .DefaultCellStyle
Sounds like time to become an evangelist then. I had to do this in my group and other than security a major benefit is just that getting potatos instead of pictures has significantly declined.

Here's my advice: don't sell security as the foremost feature. Sell it as "iMessage, but for everyone." You got stickers, reactions, high quality videos and images. Then mention security, it is the cherry on top.
gotcha, i mistook it for being an american bureau
> Western society in general is a bunch of future cancer and heart disease victims all freaking out that they're going to die in a nuclear meltdown […]

Also, COVID (to round out the top three in many places).
> promise a lifetime of free service.

That might be too wishful thinking. The tribunal would take into account damages, and whether it was reasonable to believe that you're entitled to free service.

In this case, the chatbot promised a ~$800 discount, and the tribunal awarded ~$800. But I doubt they'd make the same decision again, or deem the lifetime service enforceable/un-cancellable.
That's not usually what zero sum means though. The idea of zero-sum is that in order for one person to gain, another must lose. I don't lose respect for someone when I gain respect for another person. It's the same idea when talking about the economy. You can rank everyone by the sum of their assets, but wealth isn't a zero-sum game (long term).

If it was about differentials, then there would exist no non-zero-sum anything.

Also, reputation is not just a peking order. It's entirely possible for me to know 20 people and trust none of them to not steal from me. Just because 1 of them is technically my most respected, doesn't mean they are respected enough. There is an element of absolute in terms of reputation.
As a model ship builder I was really hoping that this was the inventor of Bentinck Shrouds. Different Bentinck but actually related.
FTA:

> Section 10.3.2 of [YAML] specifies that only the scalars matching the regular expression `true|True|TRUE|false|False|FALSE` are interpreted as booleans. Older YAML versions were more tolerant (e.g., interpreting `NO` and `N` as `False` and interpreting `YES` and `Y` as `True`). When the older syntax is used, a YAML implementation could then interpret `{insecure: n}` as `{insecure: "n"}` instead of `{insecure: false}`. Using the syntax defined in Section 10.3.2 of [YAML] prevents these issues.

> [YAML] Ben-Kiki, O., Evans, C., dot Net, I., Müller, T., Antoniou, P., Aro, E., and T. Smith, "YAML Ain't Markup Language Version 1.2", 1 October 2021, <https://yaml.org/spec/1.2.2/>.
Whoa, Big Gulps, huh? All right! Well, see you later!
I usually put my wallet over the touchpad to block it.

Maybe I'll mess up on the PIN, too, to throw people off (although that's probably caused by not being able to see the numbers).

They could also use sound to detect the keypress, but I'm hoping any legit retailer hasn't gone that far, yet.
My worry is that this diagnosis will make the person feel that this is an insurmountable problem or something that is permanent rather than a phase that will pass.

I truly believed this is something everyone goes through, but Im not sure now since my partner says its not.

My goal is trying to make her realize the absurdity of this anxiety and not that she shouldn’t have it all. Maybe even laugh at ourself in the process. But i honestly think “just stop thinking “ helps, you do that by staying busy, meditation hobbies etc..

“We choose our joys and sorrows long before we experience them” Khalil Gebran.

Is something that I try to remember that helps me
I’ve always been interested in the idea that creativity is primarily about random association. That association can happen inside your mind, or it can be externalised like that story of how Donald Glover’s Childish Gambino name came out of a Wu-Tang Clan name generator. Yah!
Would be great if there was a note-taking app on top of it, with seemless linking between Typst documents.
I did a paper on this back at engineering school around 10 years ago.

I forgot most of the details, but iirc the losses can be up to 33% in certain conditions (mostly cold weather).
>I expect to be informed that recording will be occuring given I live in a two party consent state.

The concept of "two party consent" only applies to conversations. They don't apply to video recordings.
It is sad that this is where our society is at.
You are right, many do not want to discuss how car theft is fundamentally unethical. Many want to think that simply passing laws is a solution. Many laws that do not get enforced. Many do not want consequences or punishment for those who do unethical things.

Unethical behavior will only change if there is a consequence. In the US, there is no consequence for many people for unethical behavior. Implementing consequences here is frowned upon.
If you wanted a custom GPT to speak like this, I wonder what the system prompt would look like?
Thank you. Right now, my puny little brain is searching through what I would describe as "those distant and slightly vague memories" that make up my poor man's knowledge of computational complexity theory.

> Attention, which requires feed forward networks, which approximate a DAG, you can think of attention as run time reweighing to change what y value is returned.

Isn't that's true for linear RNN mechanisms too? Note that linear RNNs like RWKV and Mamba are linear in the number of tokens in the sequence, but not in the number of features per token.
I hope in a couple of years we start seeing posts like these with Typst instead of LaTeX. It seems like setting this up would be a bit easier since Typst is much more concise than LaTeX.

[0] https://github.com/typst/typst
stares back intensely
> The goal of not institutionalizing them and setting them up for a difficult future is noble and laudable, however, I worry that this will ultimately be counterproductive. It is going to cause a swing much like what we are seeing, where people conclude that we are not tough enough on crime and thus we need to get more extreme, more punishing, and more authoritarian, which is the exact wrong way in my opinion.

I totally agree. I also worry that people will continue to push for more extreme forms of punishment. It's gross that we accept how prisoners and ex-cons are treated as it is. I think there are still a lot of people who would already prefer if our legal system was even more cruel, but even if most of us want reform all we can really do is vote for the people willing to do it. Our strongest point of leverage here is jury nullification, but I wonder how popular that would actually be with jurors and since most cases never reach trial we're denied the opportunity to use nullification to prevent defendants from being subjected to excessive, inhumane, and unjust punishments anyway.
I think the industry target right now is around 10~15 years 80% capacity. So yeah not bad for an emerging tech.
Jobs, because he didn’t do it himself?

The commonality is they all brought $1b+ ideas to market; they didn’t just have good ideas, but did the hard work necessary to execute on them.
You think front-line support staff account for $100k in compensation?
>>Must they let everyone speak?

Is somebody forcing anyone to listen? You don't have to go to every speech hosted on a faculty premises.

>>What about people with nothing valuable to say?

I don't think much of what you posted here is of particular value, yet I would not dream of forbidding others to not read your posts.
Yes, it is. And for very good reasons. For example, my home country was invaded by the Russians 18 times. Last time they came, they stayed for about a decade and left behind 50 years of communism. Israel did none of that. If you need some more history lessons or some common sense about why Russia is a direct threat to the territorial integrity of the EU and to the world order, while Israel is not, please reply to this thread, I'll hook you up.
>and those sub-units eventually prevail over those that don't.

Why do you believe this?
Some of the tools used to steal cars are the legitimate tools used to repair cars. Key programmers aren't cheap, but at under $5k for decent ones, they aren't crazy expensive either. It pays for itself in one job.

You could make these tools more difficult to obtain, but that won't stop the crime.

Immobilizers and requiring a PIN to start the car are cheap, effective ways of preventing car theft without negatively impacting our ability to repair vehicles. It would behoove government agencies to include a list of anti-theft techniques on the window sticker and it would behoove insurance companies to be very upfront with the anti-theft features they think vehicles need.
Tbf they’re not optimizing for information recall or “inaccuracy” reduction, they’re optimizing for intuitive understanding of human linguistic structures. Now the “why does a search company’s AI have terrible RAG” question is a separate one, and one best answered by a simple look into how Google organizes its work.

In my first day there as an entry-level dev (after about 8 weeks of onboarding and waiting for access), I was told that I should find stuff to work on and propose it to my boss. That sounds amazing at first, but when you think about a whole company organized like that…

EDIT: To illustrate my point on knowledge recall: how would they train a model to know about sexism in feudal Japan? Like, what would the metric be? I think we’re looking at one of the first steam engines and complaining that it can’t power a plane yet…
On this topic (using local LLM for analyzing local text on an iDevice) -

I highly suspect that the recent Journal app from Apple, which auto-installed via an iOS update, is intended to incentivize users to journal and write about their daily lives, so that when Apple inevitably ships a local LLM on iDevices, there is already a corpus of data for the model to RAG over and use to "understand" the user.
"What you seem to want is for civil law to be subordinated in favor of common law,"

I must have missed that. I do not see them making that point.

"To Wit this is a perfect example of effectively questioning the foundational function of governance in the post World War II world while also not being aware of it apparently."

I don't know that I would call this a perfect example. This is extremely narrow and doesn't dive into many aspects of the relationship. I'd say it's more focused on individuals giving up freedoms on the notion that those freedoms don't benefit them personally, but could pose some harm to them if others are allowed to exercise them, without realizing that the same thoughts can be used against them in the future. More a tyranny of the majority than role of government discussion, even if somewhat related.
Few front-line agents have deep knowledge about their company's products or services. They trace their finger through some branches on a flowchart then dictate from a knowledgebase.
Perhaps what you are trying to express as "shared search after justice" could be thought of as a "Social Contract"; a non-codified agreement of how society (should) co-exists, in context of said Society.
Yep. Lack of money can be a much bigger problem in a rich society.
I used Telegram during a time when I lived a cross-border and cross-platform lifestyle.

Telegram, and really Telegram on desktop, was great. I am a stubborn old man at the age of 40, and I really prefer to type on a keyboard. It had a great UI, it always delivered messages, and syncing between devices was seemingly instant. iMessage, somehow, is still not perfect at syncing between devices, and while Signal is quite good at that, it's a pain to start using on a new device, as it doesn't bring along your message history. (For legitimate reasons, mind you.)
I've looked into MoR's before but the fees are very high. For SaaS specific global sales tax compliance, I'd look at Anrok. They support sales tax globally (U.S., VAT, GST, etc.)
> Some investors have questioned such deals because companies like Google and Amazon are investing money that ends up bolstering their own revenues.

This is brilliant. It's a win-win for cloud providers like Microsoft and Amazon to invest billions into AI companies because the "investment" is guaranteed to flow back in as cloud revenue (on which they have huge valuation multiples) regardless of the AI company's fate or eventual profitability.

The AI companies then get to quote massive valuations based on these investments, even though the investments were made under very unique circumstances (ie "most of this investment will flow back to us as revenue").

Finally, other investors[1] who do not benefit from the cloud spending and who may be less discerning on price will FOMO in at whatever the current valuation is. These investments not only have no stipulations about how the funds are used, but often aren't used for the business at all - instead directly paying out founders/employees.

It's a brilliant triple whammy - the technology itself is super impressive, cloud providers are naturally motivated to pump up baseline valuations due to the symbiotic relationship of exclusive cloud spend, and these valuations are taken at face value by non-cloud-provider investors eager to get in on AI hype at whatever the prevailing price is.

[1] https://www.theinformation.com/articles/thrive-capital-to-le...
Since I've seen both stupid and brilliant people get degrees in technical fields, I'm inclined to say that you don't need to be particularly smart to get one. The corollary to this is that you can't assume a person is smart just because they have a degree.
The original author sold it as a stupid content tracker. Which in part meant that the implementation was simple.

There ain’t a whole lot to the first commit of Git. Some hundred lines which consists of manually preparing a commit by sending the current snapshot to the “cache” (nowadays “index”) which compresses it and then building a commit by specifying the parents and a commit message (like git-commit-tree but I don’t know if that was around back then).

Beyond that I don’t know much.
Photogrammetry requires a lot of manual cleanup and retopology work, but it's worth the trouble because it captures a lot of extremely fine detail which can be baked down into textures and applied to the manually refined model. It's not really clear to me that NeRFs are producing enough detail to warrant that cleanup effort, rather than modelling something from scratch.

I would be interested to see a comparison of conventional SOTA photogrammetry pipelines versus NeRF techniques solving a 3D model from the same set of photos, but these papers only ever seem to compare themselves to other NeRF papers, rather than the software that the industry is already using to solve this exact problem.
"When I go to a store and buy an apple, I am not buying an apple, I am just entering into a symmetric operation, where my money goes to the store and the store's apple comes to me, based on an agreed valuation".
You've never maintained a long-lived git feature branch, it seems :)

I maintain a project that is a slight modification of a very active upstream repo. The changes I maintain are rather invasive. Almost every upstream commit introduces a merge conflict with my changes.

To keep myself sane I only merge/rebase when upstream releases a new version, but it still ends up sucking up a few weeks of my time every year. During those weeks, I look enviously at pijul where the conflicts would resolve down to a handful of corrections in context at the point of divergence, instead of gigantic merge conflicts obscured by thousands of piled on patches.
Frontier model + rag is good when you need cross-discipline abilities and general knowledge, niche models are best when the domain is somewhat self contained (for instance, if you wanted a model that is amazing at role playing certain types of characters).

The future is model graphs with networked mixtures of experts, where models know about other models and can call them as part of recursive prompts, with some sort of online training to tune the weights of the model graph.
Needed this right now. In a bit of analysis paralysis with ml. Going to use the Feynman story as inspo