skysight-inc/HackerNews huggingface dataset:
"if you decide to die poor, a great many things can be done with your life". Heard it from a friend whose thesis advisor loved to say it occassionally.
The cost of insurance is outrageous because settlements in medical malpractice lawsuits are outrageous. Tort reform is necessary to control medical costs - it is opposed by Democrats in the US. Trial lawyers are an important and generous lobby.
Since the situation cannot be described by a scalar, "the sky is falling" and "we're on the upswing" can be correct at the same time, just about different parts of the market.
If a hurricane kills a thousand people is it evil?
It's not really clear whether we're better off trying to treat corporations as moral actors and constantly being surprised when they aren't, or whether we should treat them as amoral quasi-natural processes no one has full control over and construct regulations around them the same way we do for earthquakes.
Again. To be super duper clear. We store nothing! All email data, actions, everything is deleted on a daily basis. Try it out at https://getinboxzero.ai
Everyone who has ever bet against Microsoft trying to enclose or eliminate something it takes an interest in has been wrong. Why should this be any different?
At the very least it will provide a really good real-world case study on deploying large sums of money to solve problems in society with seemingly no thought given to second and third order consequences. Definitely appears praiseworthy from first glance - really one of the major themes of our times.
The part I was most interested in is here: https://github.com/ronibandini/reggaetonBeGone/blob/main/reg...

The first method is rfcom connect which might work with some bt speakers. The second method sends some empty packets? Third method missing.
I think the point is more that you are put on this path without really thinking about it, and it then you are locked into it. I can sympathize with at least the education and job part of it. I did all that and eventually got laid off anyway and figured I had fallen off some path or other, and then looked back and realized the path was never really all that proscribed.
(also an MD) I've always conceived of it as a good NP will have been around long enough to know you usually do X when Y, but they don't know the reasoning for X or the pathophysiology underlying Y, and they don't always know when you shouldn't do X.

That said, especially in primary care, give me an NP over a PA anytime. Primary care is a numbers game and NPs roll the dice better. Specialty PAs are great; I learned some of my best ortho from ortho PAs. But generalist PAs scare me and have been the source of some horrific consults in the past.
Say, 2022 is when the Russo-Ukrainian war began, with quite significant consequences for the EU and US economies at the very least.
What is a tiger rock?
I wasn't trying to convince you. I was telling you that your arguments didn't make sense, and that people love car for valid reasons. Address their need and they will use public transportation.

You chose to shame people who don't share your opinions instead. Pity.
Thanks for taking the time to write out your system!
Ummm cool, but if browsers support dlig, and the font does what it says why are all the graphs on the page pictures instead of ... demos?
My small, private catholic high school in a county outside of Los Angeles is shutting down and the reason given is that there are not enough children / families nearby due to the cost of family-sized shelter. This school sits in what was once a family neighborhood, but is now full of empty nester retirees whose adult children cannot afford to live in the neighborhood they grew up in. A public school in the same county recently announced that they're shedding 80 staff/teachers for the same reason.
You’re supposed to market this as incentivizing the consumer to come during off-hours for a discount. You can even draw a parallel to the matinee, the same concept in another industry.

Marketing anything ever as a price hike is usually a sign that marketing wasn’t properly involved in the process.
I remember discussing this idea with my friends 10 years ago, when I started my first engineering job and felt my time shifting from mostly exploration to exploitation. I had spent years learning for the sake of learning, with no strings attached. Then, all of a sudden, I was applying what I had learned in exchange for money, and the people I worked for expected something valuable to come from how I spent my time.

I didn’t research machine learning, but my friends did, so it could have been an idea I picked up from someone else.

Anyway, I think it’s a valuable framework because we need to make time for exploration—it’s a great way to let go, have fun, and dissolve the fear of failure.
I don't remember it being relevant either. Honestly kind of a huge creative miss to not use SOMETHING from the game lord/items.
Cool, the text on the dark theme is hardly readable.
Keep a notebook with you at all times, make time to study and reflect on your notebook pages. Also use a computer if you want grad-level dialogue with the ai, very helpful as well. But strongly recommend sticking to physical notebook because can flip pages and can commit pages to memory as landscapes more readily.
I like the idea, but there’s no reason to commit these back to the repo. In fact, you could just make a code-viewer that generated fresh explanations whenever you open the file

a lot of generative AI is like this. Oh, it made a beautiful picture, but why bother saving it, you can just generate a fresh one every time
I’m sorry, but the thing even looks top heavy.
this is so sick
Capsaicin is a terpene and probably enhances other terpenes. The metal taste of pure capsaicin is probably from extraction process
Chillies are easy to grow and produce a lot of fruit. Fun.
I get not a lot of people here have been growing their own peppers. I say that because if one goes to their local garden center right now and buys a jalapeño seedling, puts it in a fairly large pot and gives it a regular dose of N and a daily dose of water and puts outside in the 65-80F weather for the next few months it will produce peppers that are very large and taste pretty similar to the ones in the grocery store. Pick, them just as they reach an couple inches in length before they start to ripen and taste them.

Then if one lives in the south, brings it inside next year over the winter, and stop fertilizing it, and reduces watering it to once a week or so, it will again produce peppers next year that will be a lot hotter, but during the summer if you live in somewhere its getting over 100F daily, stop watering it until it starts to drop its leaves and pull it back from the brink of death ever couple weeks over the summer. The last peppers to set in the late spring early summer will only grow to be an inch or so long and the plant will stubbornly refuse to drop them even when they start to shrivel a bit and its lost most of its full size leaves only sprouting 1/4" long leaves during the short periods of recovery when the soil isn't bone dry. Then after a couple months when those peppers get really dark before they start to turn red, pick one and taste it.

The second year that plan will produce peppers hotter than probably anything most people have ever tasted. But, the plant will get strong and gnarly, continue to mistreat it for another year or two and what you will have is a pepper that no one can actually eat.

In my 20's I found pleasure in sampling top ten lists of hottest hot sauces and peppers, but nothing prepared me for the pepper I pulled off a ~5 year old jalapeño plant I had largely been ignoring all summer long and hadn't been fertilized since it was a seedling. A single bite, and about two chews, and I went into an upper body "hickup" that might be better described as a repeating upper body spasm, and a mouth burn unlike anything I've ever experience before or since. Those are peppers one should pick with gloves.

Pepper genetics or even variety aren't the largest dictator of how hot a pepper is. A bigger factor is how they are grown. Give a young plant a 70-80F pleasant environment, plenty of water and nutrient rich soil and they produce lots and lots of peppers that vary only slightly in heat based on their variety. Exactly what a commercial grower will do to maximize yield. Keep a plant on life support for multiple years and it will be an ugly thing, producing only a few peppers that grow slowly and ripen slowly over months, stress it to the point where its largely dropped all its leaves and only has a few small leaves baked daily in full 100F+ sun and it will produce peppers that are by themselves in-edible.
I really welcome the clarity of this presentation.
This is my problem with every end to end system I've seen around this. I find that, even building these systems from scratch, all of the hard parts are just normal data infrastructure problems. The "AI" part takes a small fraction of the effort to deliver even when just building the RAG part directly on top of huggingface/transformers.

I also have dealt with what you're describing, but then it goes much farther when going to prod IME. The ingestion part is even more messy in ways these kinds of platforms don't seem to help with. When managing multiple tools in prod with overlapping and non-constant data sources (say, you have two tools that need to both know the price of a product, which can change at any time), I need both of those to be built on the same source of truth and for that source of truth to be fed by our data infra in real time, where relevant documents need to be replaced in real time in more or less an atomic way.

Then, I have some tools that have varying levels of permissioning on those overlapping data sources, say, you have two tools that exist in a classroom, one that helps the student based on their work, and another that is used by the TA or teacher to help understand students' answers in a large course. They have overlapping data needs on otherwise private data, and this kind of permissioning layer which is pretty trivial in a normal webapp has, IME, had to have been implemented basically from scratch on top of the vector db and retrieval system.

Then experimentation, eval, testing, and releases are the hardest and most underserved. It was only relatively recently that it seemed like anyone even seemed to be talking about eval as a problem to aspire to solve. There's a pretty interesting and novel interplay of the problems of production ML eval, but with potentially sparse data, and conventional unit testing. This is the area we had to put the most of our own thought into for me to feel reasonably confident in putting anything into prod.

FWIW we just built our own internal platform on top of langchain a while back, seemed like a good balance of the right level of abstraction for our use cases, solid productivity gains from shared effort.

I think this is a really interesting problem space, but yeah, I'm skeptical of all of these platforms as they seem to always be promising a lot more than they're delivering. It looks superficially like there has been all of this progress on tooling, but I built a production service based on vector search in 2018 and it really isn't that much easier today. It works better because the models are so much better, but the tools and frameworks don't help that much with the hard parts, to my surprise honestly.

Perhaps I'm just not the user and am being excessively critical, but I keep having to deal with execs and product people throwing these frameworks at us internally without understanding the alignment between what is hard about building these kinds of services in prod and what these kinds of tools make easier vs harder.
Regarding learning, I usually start with YouTube videos to get a foundation of the topic to see if it interests me. If it does, I’ll look more for advanced courses or books and go from there.

For research, I usually just use a search engine and read what seem to be credible sources. News articles, court documents, studies, etc.
Who demolished the factories?
For a mature project, it is almost impossible to directly introduce AI and add comments to all codes.
As someone who has been in healthcare IT for maybe 10 years, comfortable with HIPAA HITECH, SAS70, etc., one thing I took a pause at was:

> Yes! HIPAA auditors have reviewed Delve to ensure that we cover HIPAA requirements.

To me, the word 'review' is doing a bit of heavy lifting. There's a lot of self-attestation in the HIPAA world, a lot of policies and processes - but to my understanding (and forgive me if it is flawed), any actual auditing is on specific implementation, not generalized.

I think your statement is accurate, to be clear - but I think the concern I had was that someone less nuanced or experienced might read something that isn't there into it - i.e. "our tooling has been audited". (Mind you, I also think that someone "less nuanced or experienced" probably shouldn't be heading up a PHI solution, so maybe self-selecting).

Also:

> Our infrastructure has been vetted by cybersecurity and DevOps experts from AWS, Google Cloud, and more.

Similarly, this heavily implies that AWS has done some attestation on your product, which I doubt. For one, in my experience they only partner with compliance partners, and will only attest to their products (and not even all of them).
KKR to Acquire Broadcom's (VMware) End-User Computing Division
Sort of like the dancer in the robot suit. Absolutely.
I love the idea, but maybe we can pair it with my ICO idea of flipping a virtual stack of Pogs to unlock new units of currency that can be mined.
Thank you for sharing your thoughts. I agree with your point. LLM should benefit Automation, not automate LLM.
.

M O O N that spealls Moounion
You're not wrong, but the latency would annoy me. with 1s p99, a file with 20 functions would take 10-15s to document.

Also, you can't easily search against those code comments using standard tools.
NDJSON, which actually has a rudimentary spec, says

> Each JSON text MUST conform to the [RFC8259] standard and MUST be written to the stream followed by the newline character \n (0x0A).

https://github.com/ndjson/ndjson-spec/

But yeah, these things should be merged and formalized. Being web-adjacent, how likely is that? What we're seeing here is the usual patterns:

- the less-useful newer thing with slightly better marketing wins eyeballs even when it's technically inferior

- an "ecosystem cornerstone" is someone's pet project from a prior employer and now neglected (https://github.com/ndjson/ndjson-spec/issues/35#issuecomment...)

- web things don't get RFCs written because web people are disconnected from old school internet people

- W3C adjacent people didn't get their RDF tuple world domination and industry standards don't matter to them

- even MDN is switching to paywalls instead of being a useful resource
[dupe]

More discussion earlier over here: https://news.ycombinator.com/item?id=39514464
Maybe that book was left out?
> I don’t think we can count out the possibility that the deal will go through. I suspect that the government could approve the deal because they hate the duopoly of Visa/Mastercard and want another player competing with those two giants.

This is the most important (and maybe only compelling one) argument in favor of approving the deal by regulators! They'd definitely like someone to standup to the giants Visa and MC networks and bring much needed competition in that space!
Are Ferraris that fast? I thought the whole point of them was being loud and obnoxious (in every sense of the word).
Pretty funny.

Especially for Java which has always tended to be a verbose language that emphasises highly descriptive class and method names.

The idea is interesting but better done as an IDE plugin where I can hover over a method and have it show an auto-generated help popup. I suspect IntelliJ is already working on something like that.
Incredibly cool, how is this even possible?
It looks like a lot of boiler plate that adds noise. Usually the most useful comments explain the function in its context, not the code itself. Or, if the code does something atypical then a comment is very useful.

This is interesting, but a waste .
The AI comments seem to get pretty helpful in the best case scenario of complicated functions, but they also get too spammy in the worst case scenario where it's adding "Returns a value" to `public getValue()`.

Whether you want every function in the codebase to have a comment is a rather deliberate style, not something you'd just merge in from an unsolicited PR.

But if the tool is automated and easy to use, seems like something useful for local development or a way to shop for good comments that are missing from the code.
Of course you also had ChatGPT create the website?

And did you ask it first what subject would be interesting to HN readers?
> And another wild card…as more people start using Ozempic, fewer people will eat these health destructive meals.

So it's one of the things I think could go either way (do people do more of the thing when it becomes cheaper? or less because of appetite suppression), and it's looking more like people are about to have a whole let less junk food as price of GLP1 RAs goes down and availability goes up.

Fast food and other unhealthy food producers may about to be entering a somewhat hard time.

See also this article which is kind of an ad for Sweetgreen by Bloomberg (just tin foil hat talking there), but points a bit in the direction I mean:

https://news.ycombinator.com/item?id=39459842
Follow your innate curiosity, and respect the edifice of knowledge constructed by those who came before us (i.e., don't get sucked into quackery without a deep understanding of the SOTA).
JSON Patch is incremental updates to a singular JSON document[1].

Lines-of-JSON is streaming delivery of multiple JSON documents. Most producers & consumers will only hold one item in memory at a time.

[1]: And kinda sucks at that job. Last time I benchmarked it, a gzipped lines-of-json stream that just repeated the whole document for every edit was smaller than a JSON Patch stream, and re-parsing the document was faster than applying JSON Patches.
I'm prepared to believe you! But I roast the bejeezus out of them when I cook them, and they're great.
To be clear, very few people become licensed lawyers in CA taking this path. The vast majority can't pass the Bar and the state often goes years without a single person passing via the apprenticeship track.
Hopefully a different course if action if they’re going through the drive thru
This is only temporary. Ads will be put back in as soon as possible.
Nowadays when I'm ready to learn a new field, I start by talking to chatGPT to get a general picture of the field and a few introduction books, specifically ones that are admittedly objective, not propagandistic. After reading these books, I will have an understanding of the field in order to reasonably plan what and how to learn next.

The key is de-fragmentation, which is the most important discipline in this age. Read serious publications by professional authors. Stay away from any traffic-driven information. I can't say they are 100% rubbish, but spending time on them causes far far more damage than gain.
It's a commercial font, they don't want to make it so anyone can trivially grab it for free. Yes, you could find a site that actually uses the font for real, but it's much less obvious, so it still deters casual copying. You'd think they could at least show a few demos with a cut-down build, but ¯\_(ツ)_/¯
I don't think money is entirely the reason that doctors don't serve underserved populations. Many states with underserved populations like Missouri already pay more due to supply shortages [1].

The reality is doctors have the ability to practice anywhere and tend to choose desirable places to live like NYC, LA, etc because they are humans with wants and needs, too. Anecdotally, living in NYC, many doctors and dentists tell me they could make more elsewhere, but they love living in the city.

[1] https://comphealth.com/resources/physician-salary-report-202...
Okay but what's the argument in relationship to my post? As the article notes China's property market is larger despite a stock market cap of 10tn, similar in Japan real estate value is about 5x larger than Japan's stock market cap.

That was the point, in the US stock market capitalization is unusually high compared both to other sectors and the economy at large.
IMO the best recommendation algorithms don't bother recommending things they think one will like; instead they recommend novel things one won't dislike.
These are exactly the kind of comments that you don't want in your code base.

Comments should be about why the code is doing what it's doing. By definition, this won't be in the code, so the AI cannot divine it to existence.

Readable code is about what the code is doing, which should be apparent from reading the code. This AI tool can be used as a helper for a junior dev or to follow the call stack or code flow.

Maybe AI can do a good job one day when it has the full context of code, i.e requirements docs, transcripts of meetings, emails, JIRA tickets etc.
Given that the only comments worth having are typically those that explain why, and an AI would have a hell of a time knowing why code was the way it was, there's very little chance that this does anything but add noise. It's exactly the type of "productivity enhancement" we should expect from AI right now. That is, as long as you measure productivity by lines of code and nothing else that actually matters to the business.
That would be kind of expensive though, right? Committing the comments is effectively caching the generation. Although, that caching could be done off-repo.
Do not use the word "verified" here.
Can someone familiar with the Spring Boot codebase confirm if these comments are useful or not?

At a glance - and I'm not a java developer - a handful of the comments seem to add some specific context that's not obvious from the code alone:
https://github.com/spring-projects/spring-boot/pull/39754/co...
Comments are most helpful when they explain something that is not obvious by just looking at the code. Comments that just explain what the code plainly does don't add much value. This kind of technology can still be useful in other forms as other comments here note, but this kind of auto-commenting, I really don't see it catching on.
A font is basically arbitrary vector graphics, and ligatures expand the available number of those graphics to as many as you want (ligatures can be whole words, not just letter pairs)
no, it can’t actually be made simple. Qbits are fundamentally unfamiliar. They have restrictions like “you cannot copy them” and “all operations must be reversible”. And what you get at the end is basically flipping a weighted coin, where the probabilities are constrained by the operations you did earlier. The only way to understand it is to immerse yourself in it. Think: motivated grad student, not puppy.
> by attaching an intermediary device to the adapter

If you need physical access to the charger, is it still a "cyberattack"?
I suggest you go read how transformers work before you argue with people about how they do.
There is an awful lot of this:

/\**
\* Checks if a library is excluded.
\*
\* @param library the library to check
\* @return true if the library is excluded, false otherwise
\*/
protected boolean isLibraryExcluded(Library library) {
return library.getName().equals("Spring Boot");
}

The comment adds nothing - I'm still confused what this one line function is meant to do or what the word "excluded" means in this context.

The thought definitely occurs that whatever comment value can be generated automatically could also (and perhaps should instead) be done locally for the viewer, rather than actually being stored in the codebase. Then it doesn't clutter up the codebase, and also can't get out of sync.

Or since these comments are really JSDoc style comments, they could be applied just before documentation is generated.
The paper specifically eliminates languages with garbage collectors, however.