skysight-inc/HackerNews huggingface dataset:
Industries do explore new products on hype, but they don't generally become widespread or disruptive until they can actually demonstrate some value.

Companies are obliged or incentivized to start introducing products so that customers can see what's acheivable, but it's not yet obvious where generative AI products will be able to really take root and where they'll just be written off until some big innovation is made.

And whatever happens, it seems very unlikely that it will apply to white collar jobs in general any time soon. It will apply to some industries, but others almost certainly won't be able to get what they need from what seems possible far -- or will only find use for it in certain narrow segments of their work.
Companies continuing the pattern of offloading training costs while complaining that it's hard to find skilled workers. LLMs are just an excuse.
As far as I know, the reverse engineering/deobfuscation is only for the purpose of allowing third-party firmware to be flashed instead of the Google firmware for Bluetooth. If all you want to do is archive the tool for the latter, you merely have to copy the files from Google's site.
I'm wondering whether soon we'll see the outsourced CS chats run through a 'small' efficient LLM to 'clean up' (or in some cases, just re-localize) the English of such workers to match the locale of the caller.
That's honestly sacrilege unless doing so for accessibility reasons.
Did Earth's Multicellular Life Depend on Plate Tectonics?
Every law is vague if you're a lawyer.
Ask HN: Is it true that Google search prioritizes websites with Google Ads?
When I read stories about companies like Spotify creating e-waste like this, I think it’s worth pointing out that commercial companies don’t have to behave this way.

As a counter-point, back around 2008, I purchased two Squeezebox music players from Logitech (digital music players that Logitech had acquired from Slim Devices: high quality DACs that supported every audio format, gap-less playback, synchronised playing on multiple devices, and were very configurable).

They discontinued these products four years later (2012) but kept their mysqueezebox.com online service running up until the start of this year (2024). They kept the user forums running and archived the knowledge-base wiki. Most importantly, they open-sourced the stand-alone server software for running a local Squeezebox server and continued to pay the main developer to maintain the project for more than a decade after they discontinued the products. He’s still the lead developer and project maintainer of the server software, now called Lyrion Music Server: https://lyrion.org/

Correction: the stand-alone server software was always open source, specifically GPLv2. In addition to the audio quality and features, that was one of the selling points for me. It being written in Perl, meant that it was both cross-platform and easy to run on a GNU/Linux system.
Large language models are one particular implementation of machine intelligence optimized for generating language but not necessarily for being true or for being grounded in sourceable to reference material or facts.

I think we're taking models that have been optimized for a particular thing and repurposing them towards new tasks and then assuming that the principles of large language models as we have developed them are just universally inherent properties of AI, which I think is not at all the case.

Conceivably, you absolutely could train models where their own built-in metric of success involves a notion of appropriateness of citations. The models we have simply don't do that, but I don't think we should proceed to the assumption that we are witnessing the future of AI with hallucinations everywhere, I just think it's a lazy repurposing of systems that were not initially designed with these things in mind.
Millenial here. I hate receiving phone calls. Being a foreigner in the country I live where they speak another language being the most important.

I do not mind a phone call when I am the one initiating and hence, I know the context of it and the expectations.
Motorcycles are not safe, and certainly not safer than cars. However, you can reduce the extreme fatality rate significantly if you cut out drunk riding and even more so if you have more than six months of experience and wear all the gear all the time. It’s a risky activity that attracts people that don’t make smart decisions. When I got my license, the five others in my class all owned a motorcycle and rode them for a year without a license or training.

It’s a weird activity that’s simultaneously very unsafe due to car drivers but also due to the average rider themselves.
Memory is generation; the memory palace metaphor is much less accurate IMO than ones that focus on Hebbian learning, learned (Pavlovian) responses, and/or, ironically enough, machine learning. The only difference between “remembering” a legal reference and “generating” one is that the former denotes a much higher level of confidence. Which, ofc, we all agree is an inescapably important metric — an acceptable failure rate for these models would be maybe 5%, MAX. LLMs used alone through a browser window, even with a half-assed “RAG” solution, are not enough IMO.
lol what? have you seen what comes out of the corporate world lately?
The article doesn't seem very consistent with the headline of "hundreds of breached customers"

1. The password for lift/okta is only allowing access to a servicenow portal and not customer accounts, so the refresh token issue seems restricted to the servicenow portal and unrelated to any actual customer data being exposed from customer Snowflake accounts

2. The screenshot with 10 corporate accounts compromised shows 4 different Snowflake account credentials (one of which appears to be a personal demo account) so that might explain up to 3 customers being compromised but there's no details showing other customers being compromised.

Assuming all of the SE's credentials were compromised for all of the customers they were working with, we can probably say the total customers compromised would be in the low double digits (each customer account would have had to provision access to the SE individually)

Big leap to say that literally the entirety of Snowflake's customer base is compromised from a "refresh token issue" (in the internal Okta portal) that isn't even linked to any customer Snowflake account
It’s a bog standard term that has nothing to do with 'good guys' or 'bad guys' - civil as in infrastructure not civil as in polite...
Because you live there, pay taxes there which funds local services, and own property there.
> They also don’t pay into social security.

That's not really the area of friction. The problem is that very few people pay only into a defined benefit plan in their lifetime. The point of contention is the calculations involved when a person has paid into both social security and defined benefit plans. (or how much of the survivor benefit a spouse should receive)
I have the simplest programming interview you can imagine in the language and IDE of the candidates choice.

Almost no one passes.
The serial ports might have been easier (depending what was on the machine already and what you have on hand) but it's not obvious. The real problem was the lack of functioning floppy drive. Most of the modern "normal solutions" wouldn't help.
Are We Ready for the Next Pandemic?
You need to ask yourself how the tax evader uses their $2, and how the government uses their $1. And you need to ask yourself about the perceived rule of law, and how many more tax evaders you would create by letting it be known that it is easy to get away with tax evasion. And you need to ask yourself if you want tax evaders to have a leg up on investments compared to full-tax-payers.
It's possible to make autosuggest performant on poor Internet connections, it just needs a little more thought put into optimizing for it:

1. Debounce!

2. Use WebSockets to minimize unnecessary round trips

3. Cache previous results and use them when the input is a superstring of a previous input (e.g. results for "Android mobile dev" will always be a subset of the results for "mobile dev")
The Case Against Gmail (2020)
Comments moved to https://news.ycombinator.com/item?id=40528045.
Indeed—except for the cost of time, attention, energy, wrist and neck pain.

This is something I want done eventually, and I’m smelling the flowers on the way there.

This HN comment thread is one of the flowers on the path to my OCR pure land zen state
A $10k Altima will have at least 100k miles and be at least 6-8 years old. (along with cleanliness, appearance, new features available, etc). There are a lot of good reasons to buy used, but the value assessment is more than just size and price.
And yet they still bait and switch. Most recently-ish with added markups not in their online price.
I disagree.

It makes sense TO conflate them so that people can better understand what's going on under the hood. We need to "de-personalize" these things as much as possible so we don't make stupid mistakes surrounding them.

Think of it like this: How USEFUL is it to say "I googled 'the closest ice cream shop to my house' but it 'hallucinated' the one that was the second-closest'"

It's just a dumb term.
Same in Iceland (with the patronymic surname on the feminine), but not Bulgaria or Belarus.
It's highly unlikely any terminal software would be installed on an old Mac, even if it had a modem. (Although I don't know about Clarisworks.) It was counter to the whole mentality. There was a bootstrapping problem where you needed to get the software which allowed you to download the software, and even the common MacBinary/Stuffit/etc programs did not come with the system.
6 days to make the bomb. 1 day to blow it up.
Robots replaced most painters a century ago, its called cameras. So what you are talking about has already happened many times over and started a long time ago, its just easier to replace art since it doesn't have a precise requirement.

Or see social media replacing news etc, similar situation. It turns out that manipulating our emotions at scale isn't that hard.

Edit: Look at old things that were made, craftsmen put in extra work to make them beautiful. Modern things machine took all that work and produce standard things, machines took most of the art making that lots of people used to engage with already. Instead today humans mostly do paperwork.

Edit2: Point was that technology always made us move from art to ever more tedious work, only exception was probably farming.
Why not both? Bonus points if you require the ability to reverse any given word in a sentence.
It doesn't appear that we're disagreeing.

You're referring to verifying 'lots' of safety properties, I referred to verifying that an algorithm does everything it's supposed to. These are not the same thing in the general case.

My actual point was that generic incompleteness and undecidability theorems do not guarantee that any given program must be defective.

The thrust of langsec is in fact to parse all inputs at the boundaries, using algorithms with known properties, that is, ones where it's feasible to prove that they'll halt, won't overrun buffers, and so on.
Right.

But the only way the jury could find him guilty of the 34 felony counts of falsifying business records was to conclude that Trump had done such falsification with the goal of committing another (second) crime.

And my point is, he was not tried or convicted of that second crime. Rather, the prosecution gave the jurors options to select from, and it was up to each juror to conclude that he was guilty of one of them. The prosecution didn't have to demonstrate that he was guilty of a specific crime, and the jurors didn't have to agree with eachother on the second crime.

Not saying the jurors got it wrong. They probably determined (or were instructed) that if they believed he had the affair and they believed that he didn't want the public (or the IRS) to know about it then that's enough to require a guilty verdict.
Related:

Using Lidar to map tree shadows - https://news.ycombinator.com/item?id=36658001 - July 2023 (41 comments)

Shade Map Pro - https://news.ycombinator.com/item?id=30532286 - March 2022 (12 comments)

Show HN: 3D map of shade around the world - https://news.ycombinator.com/item?id=29827943 - Jan 2022 (71 comments)

Map of shadows at any place and time - https://news.ycombinator.com/item?id=29681693 - Dec 2021 (4 comments)

Show HN: GPX replay map that shows terrain shadows during activities - https://news.ycombinator.com/item?id=28854959 - Oct 2021 (14 comments)
What really upsets me is the idea of making therapist LLMs.

They may be able to regurgitate an impressive amount of psychology texts, but that doesn't give them the theory of mind, observational skill, experience or judgement needed to be a good psychotherapist.
Does https://ads.google.com/intl/en_us/home/campaigns/search-ads/ answer your question?
As well as the instantly recognizable obsequious politeness.
Here's a decent article about the new 'cope-cages' added to protect against drone attacks, along with pictures.

https://www.twz.com/land/ukrainian-m1-abrams-tanks-get-elabo...
Not surprised at all. Doesn't even depend on cloud vendors - I'm thinking back to the 2023 MOVEit vulnerability which resulted in the release of a ton of customer info from banks' own internal infrastructure.
Depends on your definition of good. All popular songs have been highly formulaic for a long time. That's what makes them popular, they aren't challenging to listen to and sound roughly like everything else. I'm not going to get into the nitty gritty of music theory, but any serious musician can tell you that writing a good song is striking a balance between boring and novelty. I think AI generated music does in fact get you 95% of the way there. The other 5% is already being in the elite levels of the music industry.
Yes, this is what I mean: the thing the LLM is doing is a statistical guesswork process - that's the core of what the thing is. In many cases, its statistical guesswork is correct - it's guessed the right thing. That is not the same thing as actually referencing a canonical source, and should not be confused as such. So long as people's mental models of LLMs don't match what the LLM is actually doing, we'll continue to be surprised by how often they're wrong about things and we'll continue to try to use them in ways we shouldn't. Recognize what the tool you're using is and use it appropriately.
I quit commercial coding, switched to PM role and own SaaS. Currently consider to quit coding in my personal projects too. I like software industry but probably coding is just not for me and I need years and X burnouts to understand this and that's ok.

I want to stay some years to have stable house and savings situation and I consider to study something more interested and work in less stresful place.
> everyone else had access to an SMB share where dropbox actually ran

What the...? It honestly does sound like you were holding it wrong.
Two things can be true at once - he stole credentials, and then used those credentials to gain unauthorized access to multiple systems (hacking).

As far as credentials being intellectual property, that doesn't sound quite right but I'm not an IP lawyer and it doesn't really matter.
Trying to educate a boomer (new official term for a millennial) into not complaining about zoomers is like trying to convince a zoomer into not dying inside when they think they have committed an act of cringe.

It's best not to try! These are the cultural delusions that drive us!
Well, after getting paid insane amounts of money to write software, pretty much any job I could realistically get will appear underpaid to me. Having said that, I'm sure there are investors at hedge funds that would commit suicide if they only earned what I earn in a year.
> it has reasonable way of funding, crypto may suck, but it is believable they will not sell my data

You can rest assured that Brave absolutely will and does sell your data.

> anonymous bookmark sync with multiple profiles. With Chrome and Firefox I have to sign up for each sync.

Nothing at all anonymous about it, firstly. Secondly, you can import/export bookmarks from Firefox and Chrome and do an actual 'anonymous' sync that way.

> Chrome based debug tools

Like.... chrome has?

> It is usable without any plugins. In some environments I do not want to install some questionable plugins, that may change ownership anytime! (It is already named "Ublock Origin", ownership already changed )

No it's not. It's completely unusable if you actually don't want ads.

> Proprietary Video Codecs support out of the box on Linux. Some distros do not have it, and I do not want to enable community repos.

The only reason prop codec implementations are not supported in some (not most) repos is because of licensing/OSS policy... which would equally apply to Brave within those same repos.
When I worked on a customer facing chatbot at my previous employer, we specifically wrote in the prompt "our customer service is not reachable by phone", and we tested that the chatbot was able to use that information and respond appropriately.

But I guess you can't expect a tiny startup like Facebook to invest money into having 1 employee part-time tweaking the prompt of the chatbot to respond appropriately to commonly recurring user questions.
Alex, the CEO of Redpanda, responded.

https://x.com/emaxerrno/status/1796593469743620444
There’s a reason a lot of malware won’t install on a user’s computer if it detects they’re using a Russian keyboard.
They're established companies with expertise in databases and web GUI.

They've got the same talent constraints as everyone else pursuing bespoke LLM implementations.
Thanks for asking, I’ve tried at least:

- Google Cloud OCR

- Transkribus

- ChatGPT(4V)

- EasyOCR

- Tesseract

- MacOS text highlighting
1. Citation is really needed.

EITC makes up 36% of all audits and its for people making below 20k.

https://www.propublica.org/article/earned-income-tax-credit-...
Can a tool like Snowflake work if it doesn’t have access to the unencrypted data?
You're being naive. Propaganda often employs double meanings, subtext and implications. This kind of language would not be used if the actors were reversed.
good to know, thank you! totally support excluding features if it helped them get to an earlier release for most taxpayers - but hopefully they go to it eventually
I'm a huge fan of Standard Ebooks, but it's pretty funny that twice in both the subject line and in the body of the e-mail they sent out announcing this, they typo-ed "1,000th" as "1,00th", given their whole raison d'etre.
Some of this information is included in each ebook's colophon, at the end of the book.
Well as it relates to humans, typically at an orthodontist office you have the one licensed orthodontist and any number of dental assistants, and the license orthodontist can oversee the work of the assistants. The assistants do the majority of the work but aren't credentialed, but because they're overseen by the main orthodontist we regard the work as rising to a standard we associate with professional legitimacy.

I think the net result in these cases is that there's a lot more professional capacity to meet the needs of people who have braces.

I don't suspect AI is coming for our teeth anytime soon but there's precedent for it as an oversight structure that satisfies us of the legitimacy of certain types of work.
> The bad thing is that people still think LLMs can be trusted at all.

LLMs are as trustworthy as humans.

Humans have been being wrong for about as long as we have been lying.

Whether you get information from a human or an LLM, check it.

I worry about the people who insist on credible sources rather than checking information for themselves. I think 80% or more of them are trolling me, but there are some who genuinely do not apply the Scientific Method to check facts in their everyday life. I truly feel sorry for them.
If I was a law firm, I would not trust my client’s information with Harvey or OpenAI. It honestly doesn’t matter what they promise if my reputation is on the line. No company can promise not to be hacked or leaked.
That's what I see:

https://i.imgur.com/s1uihNT.jpeg

https://i.imgur.com/dVrC8eC.jpeg
But that's missing the point. You can be doing all of those things but your manager still may not like you. Admittedly they're probably more likely to like you if you're a good employee, but if they like you and you're a subpar employee you're going to be much better off than if they don't like you. And, if you're a stellar employee, you'll likely be presented with more opportunities/more favourable tasks/etc than a stellar employee your manager doesn't like.

You can take the view of "I'm doing my job" but don't be surprised if those around you who are more liked by management get picked up for promotions/etc more than you. Most people (management included) are not 100% objective in their decision making, and someone liking you (or not) is going to influence their decisions involving you.
> Are we ready for the next pandemic?

No. Hell no. We’re mostly not even ready for the currently ongoing ones.
DirectFile was created by the IRS, a federal agency, for preparing your federal income tax return, in a manner similar to the streamlined e-file options available in other countries (i.e., for the most common/basic situations).

There are 50 states, and every single one of them has their own idea of what an income tax return should look like, so a direct file that handled state returns would take several years and hundreds of staff to develop and maintain.

The US also has significantly more tax planning/tax structuring opportunities than do other countries, and DirectFile doesn't even try to handle those...but neither do its foreign counterparts. If you have a more complicated tax situation, like most software engineers do, than DirectFile isn't for you, and never was intended for your use case.
You're probably in the minority, or you make a significant amount of income.

If you are single or married without a family, a 1099 contractor or just inputting in a W2 or two, and have a single form from your healthcare company, chances are this really, really helps.

The IRS isn't going to audit someone who just files a single W2 and claims maybe 1-2 deductions and a small stock portfolio appreciation.
Is this in response to the recent leak?
I'm so good at AI, that I can beat this.

Ask the same question 4 different times, on 4 different models.

If any of the 4 contradict each other, have a human manually review.

You can even change the question, change the seed, etc...

Its interesting how few people know how to use LLMs effectively. Here is my most recent protip, after getting an answer say:

"That was a 2/10 answer, give me a 10/10 answer"
Companies integrating them into their offerings are not helping the public adopt the correct mental framing of these tools as "plausible text generators"

"Not helping" seems a wild understatement. "Deceiving people into taking the wrong frame" seems more accurate.
And of course people will just not do the review part because it’s boring, low paying job and you can get away with subpar results majority of time
NPE?
Marketplace health insurance is more complicated than you think. The IRS instructions for the necessary form take up 20 pages. If I were the IRS, I would not implement it in a MVP version either.

https://www.irs.gov/pub/irs-pdf/i8962.pdf
> If you were to give the majority of the locals where I live the choice, they would get rid of every tourist here. What we do have is councils and business owners trying to make more money, though whether they're "greedy" or not is debatable.

And that's of course tourists fault.

> Tourists are absolutely to blame. Nobody is holding a gun to their heads to come here. They know it's overcrowded, they know they're a nuisance, they have no respect for people trying to actually _live_ here, and yet they still come, in their hordes.

Have you ever thought that maybe your place attracts wrong crowd?