skysight-inc/HackerNews huggingface dataset:
I'm not trying to pick on you or anything, but at the top of the thread you said "I mean, I can ask for obscure things with subtle nuance where I misspell words and mess up my question and it figures it out" and now you're saying "it is trivial to show that it can do things literally impossible even 5 years ago"

This leads me to believe that the issue is not that llm skeptics refuse to see, but that you are simply unaware of what is possible without them--because that sort of fuzzy search was SOTA for information retrieval and commonplace about 15 years ago (it was one of the early accomplishments of the "big data/data science" era) long before LLMs and deepnets were the new hotness.

This is the problem I have with the current crop of AI tools: what works isn't new and what's new isn't good.
It costs money, and isn't free, for a reason you're not acknowledging. I don't think it's a major profit center for Apple.

It's about setting a higher floor for malicious actors than "random botnet residential IP + a captcha solving service". It's about proving some semblance of identity through a card number and a transaction that goes through without a chargeback.

As the case upthread shows, there's plenty to dislike about a system that inhibits running code built for personal use. And it's obviously neither foolproof nor without collateral damage. Reasonable people can debate if it's worth it. But it still ought be acknowledged that the motivations are closer to the reason you have to identify yourself and pay a nominal fee to drive a vehicle on public roads.
Super interesting! Any idea how you guys compare with https://getchroma.co/products/skylight ?

I love the idea of high quality lighting inside especially for my Chicago place.
Keyboards from the late 90s and early 2000s often did something similar. The controller supported both PS/2 and USB and the keyboard would come with a PS/2 plug and a passive adapter. That's why if you're trying to use a PS/2 keyboard designed prior to the introduction of USB (like a Model M) on a modern computer, you need to make sure to get an active PS/2 to USB adapter that actually translates the protocol.
Following along these lines, I asked chatgpt to come up with a term for 'haboginking a habogink'. It understood this concept of a 'gorbink' and even 'haboginking a gorbink', but failed to articulate what 'gorbinking a gorbink' could mean. It kept sticking with the concept of 'haboginking a gorbink', even when corrected.
I have seen many people not saying "don't know" when appropriate. If you believe whomever without some double-checking you will have (bad) surprises.

To make another parallel: that's why we have automated testing in software (long before LLMs). Because you can't trust without checking.
The article gives a few examples of concrete things you can do:

- Build, run, and publish containers

- Containerize language-specific builds

- Run integration tests in ephemeral environments, in a repeatable way

- Run your tools in controlled sandboxes with only the files, secrets and network access they need

It also mentions what you might replace with it:

> When a workflow is too complex to fit in a regular shell, the next available option is often a brittle monolith: not as simple as a shell script, not as robust as full-blown software. The Dagger Shell aspires to help you replace that monolith with a collection of simple modules, composed with standard interfaces.
It didn’t have anything to do with Sarbanes-Oxley (that was iPhone/iPod touch updates), Apple just charged for OS updates back then.

Snow Leopard was notably cheaper than Leopard ($30 vs $130), Lion was $30 on the App Store, Mountain Lion was $20, then Mavericks and everything after have been free.

Snow Leopard did have a long life though, it was the last OS that could run PowerPC apps, also the last to run on the original 32-bit Core Duo Intel Macs.
MLA-style citations call for abbreviating page ranges in that way. I mostly see it in literary papers, and not many other contexts, so it would be easy to notice them rarely if at all. Outside of that context, I occasionally see it used for year ranges.
Interesting trends! I wonder what Gruber would say? Certainly the tone around Apple is different these days. One indicative moment was when Hollywood made Tim Cook the villain of Jurassic World Dominion and the reaction was... crickets. Or should I say grasshoppers? Not good, not bad, we just didn't feel anything at all. Now imagine the villain was Elon Musk! That would make people feel something.
I always assumed these were active devices doing some quick translation between USB and PS/2 but after dealing with USB controllers, this would have been exceptionally difficult (at the time) to fit inside of a dongle barely larger than the connectors.
I would only assume after they each individually had a $5mil 1 on 1 dinner at Mar-a-Lago
rlbox is used for more than one library: "Now, we’re bringing that technology to all supported Firefox platforms (desktop and mobile), and isolating five different modules: Graphite, Hunspell, Ogg, Expat and Woff2"

https://blog.mozilla.org/attack-and-defense/2021/12/06/webas...
Oh that's so weird :\
> We know, for example, that medical interventions to address obesity typically don’t work (without surgery).

This seems like a wild example to use given the runway success of GLP-1 drugs
FFN Fusion: Rethinking Sequential Computation in Large Language Models
Toyed with making lights from loose smd LEDs too. Hit thermal issues pretty fast unfortunately. They get really hot when you drive them hard
When a majority or plurality of people ignore a law unless a cop or camera is around then maybe it's time to update the law, perhaps by looking to see how other countries or jurisdictions address it. Some countries have higher speed limits, or different per lane speed limits, or have legal "buffers" where they wont enforce(like 10kph over), or explicitly make exceptions for passing.

All of these are preferable to a too slow limit made in a different era with lower safety standards. Im talking about controlled access highways by the way. Not residential or city zones. Those need fewer cars in general.
I'm talking about network compatibility, so that a Bedrock client can join a Java server and vice versa. It's clearly somewhat possible because GeyserMC[1] exists. It's just ridiculous that it's a third-party addon.

[1] https://geysermc.org/
I'm going to lay this out how I understand it:

The NIH Revitalization Act of 1993 was supposed to bring women back into medical research. The reality was that women were always included, HOWEVER in 1977,(1) because of the outcomes from thalidomide (causing birth defects), "women of childbearing potential" were excluded from the phase 1, and early phase 2 trials (the highest risk trials). They're still generally generally excluded, even after the passage of the act. This was/is to protect the women, and potential children.

According to Edward E. Bartlett in his meta data analysis from 2001, men have been routinely under-represented in NIH data (even before adjusting for men's mortality rates) between 1966-1990. (2)

There's also routinely twice as much spent every year on women's health studies vs men's by the NIH. (3)

It makes sense to me, but I'm biased. Logically, since men lead in 9 of the top 10 causes for death, that shows there's something missing in the equation of research. (4 - It's not a straight forward table, you can view the total deaths, and causes and compare the two for men, and women)

With that being said, it doesn't tell us about the quality of the funding or research topics, maybe the money is going towards pointless goals, or unproductive researchers.

Are there gaps in research? Most definitely, like women who are pregnant. This is put in place to avoid harm but that doesn't help them when they fall into them. Are there more? Definitely. I'm not educated enough in the nuances to go into them.

If you have information that counters what I've posted, please share it, I would love know where these folks are blind so I can take a look at my bias.

(1) https://petrieflom.law.harvard.edu/2021/04/16/pregnant-clini...
(2) https://journals.lww.com/epidem/fulltext/2001/09000/did_medi...
(3) https://jameslnuzzo.substack.com/p/nih-funding-of-mens-and-w... < I spot checked a couple of the figures, and those lined up. I'm assuming the rest is accurate
(4) https://www.cdc.gov/womens-health/lcod/index.html#:~:text=Ov...
Nothing like your coworker loudly and sloppily eating a stonefruit.
I hate that this feature doesn't have a timeout, so when you want to type "--" you have to "- -" and then go back and delete the space. You can't just wait as with double-space vs space-wait-space. It can be turned off, but that turns off other locale-based punctuation like quotes.
> And people just sit around, unimpressed, and complain that ... what ... it isn't a perfect superintelligence that understands everything perfectly?

IMO there are two distinct reasons for this:

1. You've got the Sam Altman's of the world claiming that LLMs are or nearly are AGI and that ASI is right around the corner. It's obvious this isn't true even if LLMs are still incredibly powerful and useful. But Sam doing the whole "is it AGI?" dance gets old really quick.

2. LLMs are an existential threat to basically every knowledge worker job on the planet. Peoples' natural response to threats is to become defensive.
Blockchain is here to stay, this is way past the point of "believing in the tech" - recently an wss:// order book exchange (Hyperliquid) crossed $1T volume traded, and they started in 2023.

Blockchains are becoming real-time data structures where everyone has admin level read-only access to everyone.
I have no doubt the real numbers are higher than they would have been 6 months ago, but keep in mind that they solicited responses in an article titled "These frustrated scientists want to leave the United States — do you? Take Nature’s poll":

https://www.nature.com/articles/d41586-025-00757-1

That's one way to guarantee some shockingly high sampling bias.
> because they're (at least currently) mostly pretty expensive to run.

But moore's law should kick in, shouldn't it?
People I understand. It's hard not to make noise. But ads. Why decided ads needed all sorts of slurping and chewing sounds?
But it is terrible at that because there is no widely adhered to standard[1], the sender and receiver often disagree on the details of what exactly a CSV is.

[1]: yes, I know about RFC 4180. But csvs in the wild often don't follow it.
Outside direct sunlight can be 100,000 lux. With one fixture if you are standing in the sunbeam you are more likely to be at 2000 lux which is a long way off. You can add more fixtures to increase the light you are getting. However it turns out that one of the most important parts of natural light is “melanopic lux” which comes from light centered around 490nm (blue), if you get more or this spectrum it can have the same effect as having a lot more light from a low blue
Light fixture. (I.e typical 2700k bulb)
Some info about this;
https://www.innerscene.com/products/circadian-sky/CircadianS...
There is now a lot of research that looks into how much of this blue light you need and architects are starting to incorporate this into
Building designs.
Yes I have. I did some research and read some blog posts, and nothing really helped. Do you have any good resources I could look at maybe?
People respond to me that way sometimes, and it always confuses me. I’ve already addressed everything that I know or believe that you want. I’m asking “any questions” or “anything I missed?” out of humility, because I know I may have done an incomplete job of satisfying your questions since my mental model of your perspective is incomplete.

I’m asking “any questions” as an invitation or an offer—it feels weird and vaguely hostile when my conversation partner rebuffs that offer like that.

(Not that I take it in a mean spirit—like I said, more confusion than anything)
That's a funny comparison, I can and do use cryptocurrency to pay web hosting, VPN and a few other things as it's become the native currency of the internet. I love llms too but agree with the parent comment that says it's inevitable they'll be replaced with something better well Bitcoin seems to be sticking around for the long long term.
Show HN: an email waitlist?

Not in the spirit of showhn
People anthropomorphize LLMs because that's the most succinct language for describing what they seem to be doing. To avoid anthropomorphizing, you will have to use more formal language which would obfuscate the concepts.

Anthropo language has been woven into AI from the early beginnings.

AI programs were said to have goals, and to plan and hypothesize.

They were given names like "Conniver".

The word "expert system" anthropomorphizes! It's literally saying that some piece of logic programming loaded with a base of rules and facts about medical diagnosis is a medical expert.
Its fine if you don't care about correctness but a lot of people do.
`misc:typo` has been in xkb for about 15 years. There's also xkb-birman (matching the current state of the project that inspired all of it). If your national layout does not have level 3 and 4 symbols set, those should work straight away. If it does, it is highly likely that they clash, so you need to create a suitable subset. It is highly advised to find like-minded people, discuss the best options, and then gently push the result to upstream to make it available for everyone. After all, it's Linux, if you won't do it, no one will.
One of the biggest problems with on-call rotations is that you're actually incentivized to do it poorly. Every minute you spend doing on-call work is time that you can't spend on the things you've actually been assigned to do. You're never going to put your on-call work into your performance reviews; doing so might actively work against you. "I see that you spent time tuning alerts and updating the runbook. That's time you didn't spend on the actual tasks that were assigned to you."

If it's better to spend the least amount of time doing on-call work then the logical conclusion is that it's best to snooze as many alerts as possible until they either go away on their own or roll over past your rotation. Fixing the underlying problem might be worthwhile if it's something that you can fairly easily fix but if the on-call rotation is more than 2 people, the underlying problem is mathematically unlikely to be of your making and is it really a good idea to make a habit of fixing other people's broken code?

What's crazy is that I've never seen anyone with on call duties acting in this worst case bad faith manner. Companies basically abuse the work ethic of their employees because it's the cheapest possible way to check that box.
Women use far more medical care than men. Men's insurance premiums subsidize women's.
I'm just a customer of some their other products but... https://getchroma.co/products/skylight. (Of course as you know you're now drawing a ton of power for things other than lumens)
> We're told that it's going to replace all of us and put us all out our jobs.

I think this is the source of a lot of the hype. There are people salivating at the thought of no longer needing to employ the peasant class. They want it so badly that they'll say anything to get more investment in LLMs even if it might only ever allow them to fire a fraction of their workers, and even if their products and services suffer because the output they get with "AI" is worse than what the humans they throw away were providing.

They know they're overselling it, but they're also still on their knees praying that by some miracle their LLMs trained on the collective wisdom of facebook and youtube comments will one day gain actual intelligence and they can stop paying human workers.

In the meantime, they'll shove "AI" into everything they can think of for testing and refinement. They'll make us beta test it for them. They don't really care if their AI makes your customer service experience go to shit. They don't care if their AI screws up your bill. They don't care if their AI rejects your claims or you get denied services you've been paying for and are entitled to. They don't care if their AI unfairly denies you parole or mistakenly makes you the suspect of a crime. They don't care if Dr. Sbaitso 2.0 misdiagnoses you. Your suffering is worth it to them as long as they can cut their headcount by any amount and can keep feeding the AI more and more information because just maybe with enough data one day their greatest dream will become reality, and even if that never happens a lot of people are currently making massive amounts of money selling that lie.

The problem is that the bubble will burst eventually. The more time goes by and AI doesn't live up to the hype the harder that hype becomes to sell. Especially when by shoving AI into everything they're exposing a lot of hugely embarrassing shortcomings. Repeating "AI will happen in just 10 more years" gives people a lot of time to make money and cash out though.

On the plus side, we do get some cool toys to play with and the dream of replacing humans has sparked more interest in robotics so it's not all bad.
At this rate, oil fields and shipping lanes will open up we can race to toast the planet even more. But at least the billionaires will be happy and not have to worry about just being only multi-millionaires.
Oh, of course simply quoting it doesn't disable the special meaning of --, because quoting is handled by the shell and argument parsing is handled by the program.
Did that happen? Followup, are the quote marks you used in recognition of the strawman you lazily constructed?
Accountability exists for two reasons:

1. To make those harmed whole. On this, you have a good point. The desire of AI firms or those using AI to be indemnified from the harms their use of AI causes is a problem as they will harm people. But it isn't relevant to the question of whether LLMs are useful or whether they beat a human.

2. To incentivize the human to behave properly. This is moot with LLMs. There is no laziness or competing incentive for them.
Why can’t I find this series anywhere? Even for, you know, download?
Yes. Use an LLM with any regularity to write code or anything else and the effect becomes perceptible. It discourages effortful thought.

Sometimes the means are just as important as the ends, if not more
Remember the quote that IBM thought there would be a total market for maybe 10 or 15 computer computers in the entire world? They were giant, and expensive, and very limited in application.
An old approach to AI gains new attention after DeepSeek
Another reason open office plans are a nightmare. Even with headphones, misokinesia is a thing (seeing a trigger sound visually, and your brain fills in the details).
We deserve a better system. It's inhumane.
> Like a model trained on detecting lesions should perform equally well on ANY X-Ray unless lesions show up differently in different demographics.

This is not true in practice.

For a model to perform well looking at ANY X-ray, it would need examples of every kind of X-ray.

That includes along race, gender, amputee status, etc.

The point of classification models is to discover differentiating features.

We don’t know those features before hand, so we give the model as much relevant information as we can and have it discover those features.

There very well may be differences between black woman X-rays and other X-rays, we don’t know for sure.

We can’t have that assumption when building a dataset.

Even believing that there are no possible differences between X-rays of different races is a bias that would be reflected by the dataset.
We just need New York, California and the EU to ban cameras-only self-driving cars. The vandalism is understandable but ineffective and petty.
Did it answer correctly though?
I was looking for live score data. Not sure how I can get that from discussions
Do they even specify which types are blocked?
I'm not saying you're wrong about the EFF's support, but I'm not finding a lot of information that says you're right, either. I tend to think of the EFF as generally (not always) being on the right side of issues in their domain, but if that's not true, or if their donor list makes it seem less likely that it's true, I would be interested to know more.

For reference, I found the following descriptions of EFF's major donors, and I looked at their most recent IRS filing. Nothing jumped out at me, but maybe I don't know where to look.

https://www.eff.org/pages/thank-you-public-foundations
https://en.wikipedia.org/wiki/Electronic_Frontier_Foundation...
https://donations.vipulnaik.com/donee.php?donee=Electronic+F...
While it could be said that LLMs are in the 'peak of inflated expectations', blockchain is definitely still in the 'trough of disillusionment'. Even if there was a way for blockchain to affordably facilitate everyday transactions without destroying the planet and somehow sideloading into government acceptance, it's not clear that there would be anything novel enough to motivate people to use it vs a bank - beyond a complete collapse of the banking system.
I suppose any Soviet block country should do it for around $50.
It's not that hard to find decent lenses. I bought a lens with a long focal length and wide aperture from surplusshed.com and installed it into a PVC tube, then attached my camera to it (no lens). I used it for solar observation- a few times, the focused light ended up melting the tube, part of the camera, and anything else it came in contact with.

But it makes more sense to buy a cheap but decent refractor or reflector unless you are truly invested in DIY. there's a lot of fiddly details to get right to get decent image quality.
We can use data based on analyzing the frequency of ngrams in a text to generate sentences, and some of them will be pretty good, and fool a few people into believing that there is some solid language processing going on.

LLM AI is different in that it does produce helpful results, not only entertaining prose.

It is practical for users to day to replace most uses of web search with a query to a LLM.

The way the token prediction operates, it uncovers facts, and renders them into grammatically correct language.

Which is amazing given that, when the thing is generating a response that will be, say, 500 tokens long, when it has produced 200 of them, it has no idea what the remaining 300 will be. Yet it has committed to the 200; and often the whole thing will make sense when the remaining 300 arrive.
Show HN: Searchable encryption, SQL proxy for Postgres
CipherStash Proxy keeps your sensitive data in PostgreSQL encrypted and searchable, without changing your SQL queries.
It is written in Rust, uses a formally type-check SQL mapper and searchable encryption.
And what's you opinion of people that never say "don't know"?

Unless you are in sales or marketing, getting caught lying is really detrimental to your career.
Has this been consistently true for the past 200 or so years? Many medical texts are pretty old.

And how much medical care they use does not necessarily correlate with how represented they are in the training data sets for AI.
and what branch has the constitutionally to throw my money at these issues?
we giving rabbit access in batches. sorry we had to
This is a great theory but it isn't the reason. Google management made a conscious decision about five years ago to prioritise profit over search quality.

We know this because the emails came out in discovery for one of the antitrust suits.
Love how this stuff gets painted as psychiatric disorder. Some people are oafish, it's natural to be disgusted by their behavior.
LLMs are useful for bolting slop together and wasting electricity. blind leading the blind taking on a new skin
You act like this will be a choice. Right now it is a choice. The fear many of us have is that in the not-distant future it won't be. And by the time the music stops, there won't be any chairs left.
How far back do you think copyright should extend? Is it perpetual, forever?
Open source devs are fighting AI crawlers with cleverness and vengeance