skysight-inc/HackerNews huggingface dataset:
Yeah, I understand all of that. I think my surprise was that you can access arbitrary parts of this struct from within JavaScript at all; I guess I really just haven't delved deeply enough into what JIT compiling actually is doing at runtime, because I wouldn't have expected that to be possible.
They have money / job to offer. You (presumably) do not. And generally, you are the one applying. So the power dynamic is mostly in the companies favor.

If you are so good and have options that you can turn down companies, just tell the company you refuse to do leetcode style, and see what happens.

For really good people, yes the tables can and do turn.
> I think they could stop development exactly where they are, and they would still make pretty dramatic improvements to productivity in a lot of places.

Yup. Not to mention, we don't even have time to figure out how to effectively work with one generation of models, before the next generation of models get released and rises the bar. If development stopped right now, I'd still expect LLMs to get better for years, as people slowly figure out how to use them well.
I refuse to care about this. A single dash is all I will ever use. I see no possible reason to use the other two.
Yes! We will change it for sure, but that only cost us 10 box. But yeah, it causes confussion.
every time someone brings up "Code that doesn't need to deal with edge cases" I like to point at that such code is not likely to be used for anything that matters
"How hard can it be?"

If I recall correctly, that is one of Dilbert's management axioms: if I don't understand it it cannot be difficult
> There are not far more types of fiber cable, there are far more types of jackets :)

Ahhhh, thanks for clarifying! Now I understand what you’re saying, the jacket and fibers have different bend radiuses (radii). I appreciate you taking the time to explain :) also, noted about there only being a few types of fiber, with a multitude of jackets.

I’ll let my low voltage subcontractor know about the underwhelming Leviton cable, it’s a plan and spec public job so it’s possible the Leviton rep is friends with the engineer and got their cable flat specced, wouldn’t be the first time!

I’m only responsible for the raceway, it’s a 2500’ run between two college campuses separated by a highway that runs outside for a good chunk of the distance so it’s possible the jacket is beefy and inflexible for temp resistance. I’m much more familiar with electrical conductor jackets, THHN and XHHW-2, which are PVC and XLPE, respectively.
In order to address the chances of a human being alive to witness the creation of this tech, you'd have to factor in the humans who have yet to be born. If you're a doomer, 7% is probably still fine. If we just maintain the current population for another century, it'll be much lower.
Trailing commas and comments are plainly not standard JSON under any definition. There are standards that include them which extend JSON, sure, but I'm not aware of any JSON library that emits this kind of stuff by default.
Oh fantastic! Oh for MoEs like DeepSeek, technically GPUs aren't that necessary! I actually tested on 1x H100 I think it was 30 layers offloaded, and the other 30 are on CPU - it wasn't that bad at all!
On iPhone, type two hyphens to make an em dash:

-- into —

If OP wrote their post on an iPhone, they would have inadvertently appeared as an LLM by their own test.
There's a whole lot of behaviours that are fine-able offenses that society lets slide. California stops, modest speeding etc. I'd like to hope we're grown up enough to recognize that and not build the torment nexus but signs are not looking good.
Note also that the "hyphen" on your keyboard is actually a "hyphen-minus". Unicode provides separate characters for hyphen (‐) and minus (−).
It's partly the photography but definitely the reality as well. Mine is only 0.03m², the DIYPerks parabolic reflector is 1.13m² :)

One of my goals was to explore the feasibility and scalability of a refraction based design.
Control+Command+Space or Fn+E or Edit > Emoji & Symbols if you know the character’s name. It’s not very convenient for repeated use, but it gets the job done in a pinch.
He already got $5.5m in funding
> For example, here’s a tiny Python generator function that I put in a lot of my programs, because I often find I want to use it, and despite being so simple, it’s not in the standard library:

itertools.pairwise[0] comes pretty close.

[0] https://docs.python.org/3/library/itertools.html#itertools.p...
If the goal is to layoff all the customer support and trap the customer in a tarpit with no exit, LLMs are likely the best choice.
I dunno. My perspective is that I've worked in ML for 30+ years now and over time, unsupervised clustering and direct featurization (IE, treating the image pixel as the features, rather than extracting features) have shown great utility in uncovering subtle correlations that humans don't notice. Sometimes, with careful analysis, you can sort of explain these ("it turns out the unlabelled images had the name of the hospital embedded in them, and hospital 1 had more cancer patients than hospital 2 patients because it was a regional cancer center, so the predictor learned to predict cancer more often for images that came from hospital 1") while other cases, no human, even a genius, could possibly understand the combination of variables that contributed to an output (pretty much anything in cellular biology, where billions of instances of millions of different factors act along with feedback loops and other regulation to produce systems that are robust to perturbations).

I concluded long ago I wasn't smart enough to understand some things, but by using ML, simulations, and statistics, I could augment my native intelligence and make sense of complex systems in biology. With mixed results- I don't think we're anywhere close to solving the generalized genotype to phenotype problem.
This is a great way to pitch for a job & half the interview is already done.
Not actually a war crime. Directly from the Red Cross article he links:

> The purpose of these statements is to emphasize that an attack which affects civilian objects is not unlawful as long as it is directed against a military objective and the incidental damage to civilian objects is not excessive. This consideration is taken into account in the formulation of the current rule by the use of the words “attacks directed against”.

Nobody really has a clear cut definition of "excessive damage". But terrorists in practice do not have any formally recognized military infrastructure. So when fighting terrorism or insurgency groups, all targeted areas are essentially civilian areas.

Anytime someone is trying to quote "war crimes" online, there is like a 95% chance they are talking out of their butts.
I understand all that, but overturning precedent is pretty much always an option for common law judges (and even when they don't want to call it overturning precedent, they can just find enough "substantive differences" to call it unrelated), and jurisprudence constante sounds an awful lot like stare decisis with extra steps.

That's why I say there's no strong distinction. They're just like slightly different flavors of the same basic principles.
PSA: If you use AirPods on a call, please don't use the mic. Set Zoom to use your laptop mic or another external mic. I don't understand how people don't realise a microphone next to your ear if going to sound like shit. The mic needs to be in front of your mouth. Same goes for people with those Bose noise cancelling headphones (or equivalents). The mic is shit. And that's expected given its position.

BTW, the old wired Apple headphones with the cable remote/mic are a decent cheap solution.
It's not clear from the original bad phrasing.
Is it common to keep rockets and terrorist commanders in civilian appartments in your country?
New wearable device mimics complexity of human touch
Would love to see what a quine looks like
Let's not forget the minus symbol at U2212. I was making a Simulink like diagram editor and the dashes just didn't look good. 2212 worked nicely.
Tan is the other end of the spectrum (UV)
Digital document signing almost feels like it should be baked into email systems by now. Having a separate service to do this feel antiquated.
Is such code hard to write in the first place?

Automating the easy 80% sounds useful, but in practice I'm not convinced that's all that helpful. Reading and putting together code you didn't write is hard enough to begin with.
Sounds like Qubes OS, which is my daily driver.
That has nothing to do with being on a Mac. Em-dashes and the compose-key work fine on Linux, and Android has them under the '-' of the on-screen keyboard when long-pressed.

(Windows probably has some way, but those are rarely discoverable.)
I understand it differently,

LLMs predict distributions, not specific tokens. Then an algorithm, like beam search, is used to select the tokens.

So, the LLM predicts somethings like, 1. ["a", "an", ...] 2. ["astronomer", "cosmologist", ...],

where "an astronomer" is selected as the most likely result.
Computer vision models are not large language models; LLM does not mean generative AI or even AI in general, it stands for a specific initialism.
One of the things that people I know in the medical field have mentioned is that there's racial and gender bias that goes through all levels and has a sort of feedback loop. A lot of medical knowledge is gained empirically, and historically that has meant that minorities and women tended to be underrepresented in western medical literature. That leads to new medical practitioners being less exposed to presentations of various ailments that may have variance due to gender or ethnicity. Basically, if most data is gathered from those who have the most access to medicine, there will be an inherent bias towards how various ailments present in those populations. So your base data set might be skewed from the very beginning.

(This is mostly just to offer some food for thought, I haven't read the article in full so I don't want to comment on it specifically.)
>Del. Patrick A. Hope (D-Arlington) said various advocacy groups, including Mothers Against Drunk Driving and the National Safety Council, gave him the idea. He drove a car outfitted with the technology and was impressed. “It was easy to use, and once you’re engaged it’s impossible to go over the speed limit,” he said. “It will make our streets safer.”

How do you reconcile "left lane is for passing, slower traffic keep right" with hard speed limits and speed regulators? I've never found a satisfactory answer besides the German highway system.

Let's say all cars are electronically limited to the speed of the Beltway that goes around Virginia and Maryland in a circle around DC(55MPH). The Beltway has left exits and right exits, as well as merging traffic from the left AND the right. Sometimes you need to get across 2-3 lanes quickly. How do you pass someone going the speed limit enough to create a safe following distance and then merge over in front of them if they are going at exactly the speed limit? Merge behind them instead? What if there's someone behind you and you can't brake?

In the Maryland side of the beltway, wherever there's a hard speed limit enforcement mechanism, i.e speed cameras, cars suddenly slow down when they get to the camera and then floor it as soon as they're out of its range. Locals who drive there every day just memorize the camera locations. The sudden drop in speed from people going 70+ down to camera speed creates a more unsafe situation than if we just allowed people to speed more in the left lane and actually formalized it instead of this wishy-washy gray zone system that depends on law enforcement feeling like pulling you over if you're unlucky or an outlier.
> is a standard urban planning practice and was used to be used in LA during they heyday of its growth

Do you thus imply that ANY part of LA at all is a sane model for anything at all?
I understand the idea of the lack of a bounds check allowing access to early memory with a negative index, but I'm mostly struggling with wrapping my head around why the underlying memory layout is accessible in JavaScript in the first place. I hadn't considered the fact that the same syntax could be used for accessing arbitrary properties rather than just array indexes; that might be the nuance I was missing.
Sunrise alarm clock lamps are a really great way to wake up, especially if you have a larger room.
Anthropic Economic Index: Insights from Claude 3.7 Sonnet
Given the choice, I would move also. No reason for any of the US top intellectuals to stay here.

I am not a prof, I had a similar opportunity 40 years ago, but it was a different time back then. Now, I would have jumped.
Yes, that is the new UKBiobank approach.

Homomorphic encryption enables standard GWAS workflows (not just summary stats) while “sharing” all genotypes and phenotypes. Richard Mott and colleagues have a paper and colleagues on this method;

https://pubmed.ncbi.nlm.nih.gov/32327562/
Elon Musk wants to save Western civilization from empathy

https://edition.cnn.com/2025/03/05/politics/elon-musk-rogan-...
PDP-7 Macro Assembler

BTW, Unix on DEC hardware was never really popular outside of academia so DEC's machines were primarily programmed in FORTRAN, BASIC or Macro assembler, but there were still several third-party C compilers (for RT11, RSX11, RSTS/E, TOPS and VMS). My shop had spun off of Bell Labs so we had just a few Unix weirdos running things, but the bazillion dollar VAXcluster only ran VMS, so they made us all use Whitesmith's C (which they would incorrectly pronounce with three syllables) which was horrible - so was constantly getting in trouble for continuing to work the evil FORTRAN77 ways 'til one day a Lead (pear-shaped Unix grandmaster smellable from 20 feet away) dropped this on my desk with a thud http://www.bitsavers.org/pdf/dec/vax/lang/c/AA-L370A-TE_Prog... Soon, I was spending my hard earned dollars on Lattice and Aztec C licenses for my own home-brew systems too. I resisted Unix to the very End tho #rofl
You don't need a shortcut on Word.

You just type two hyphens (--) and Word will convert it to an em dash.
Can't call it sun without gravitational confinement nuclear fusion either.
How else would you describe endless counting before sleep(); ?
Higher in what way?

But HOW is it stateful? That "mandate" the only occurence of that string "state" in that document.
"Abundance" is a ludicrous pipe-dream.

With the ways our societies are currently structured, any additional productivity / surpluses / GDP that's created via automation, AI, or whatever the "Next big thing" is, will just be gobbled up by the rich to pay for vacation mansions and mega yachts.

Across pretty much every industrializing / industrialized / post-industrialized country on earth income inequality is rising, and at an accelerating pace.

Technology is not going to save the common person, it's only going to be used a a tool to further control and exploit us, and a disproportionate share of whatever value it creates is going to go to the wealthy elites as it already does.

The "Abundance" that gets talked about in techno-utopian contexts will be an "Abundance" reserved only for the rich, and unless we the people can somehow find a way to break the iron-grip of power the wealthy elites have over our societies, we won't get to share in the windfall, we'll just get to watch from the sidelines in our broken down, bankrupt communities as the rich broadcast their "Amazing" consumerist lives 24/7 via social media or whatever.
I’ve used Claude today to:

Write code to pull down a significant amount of public data using an open API. (That took about 30 seconds - I just gave it the swagger file and said “here’s what I want”)

Get the data (an hour or so), clean the data (barely any time, gave it some samples, it wrote the code), used the cleaned data to query another API, combined the data sources, pulled down a bunch of PDFs relating to the data, had the AI write code to use tesseract to extract data from the PDFs, and used that to build a dashboard. That’s a mini product for my users.

I also had a play with Mistral’s OCR and have tested a few things using that against the data. When I was out walking my dogs I thought about that more, and have come up with a nice workflow for a problem I had, which I’ll test in more detail next week.

That was all whole doing an entirely different series of tasks, on calls, in meetings. I literally checked the progress a few times and wrote a new prompt or copy/pasted some stuff in from dev tools.

For the calls I was on, I took the recording of those calls, passed them into my local instance whisper, fed the transcript into Claude with a prompt I use to extract action points, pasted those into a google doc, circulated them.

One of the calls was an interview with an expert. The transcript + another prompt has given me the basis for an article (bulleted narrative + key quotes) - I will refine that tomorrow, and write the article, using a detailed prompt based on my own writing style and tone.

I needed to gather data for a project I’m involved in, so had Claude write a handful of scrapers for me (HTML source > here is what I need).

I downloaded two podcasts I need to listen to - but only need to listen to five minutes of each - and fed them into whisper then found the exact bits I needed and read the extracts rather than listening to tedious podcast waffle.

I turned an article I’d written into an audio file using elevenlabs, as a test for something a client asked me about earlier this week.

I achieved about three times as much today as I would have done a year ago. And finished work at 3pm.

So yeah, I don’t understand why people are so bullish about LLMs. Who knows?
I work in the neurotech/sleeptech space developing slow-wave enhancement technology.

Previous studies have looked at how increased slow-wave activity (delta power - a measure of the synchronous firing of neurons which define deep sleep) effects the removal of amyloid and other metabolic waste from the brain[1].

As I work with closed-loop stimulation, not pharmaceuticals, I wasn't familiar with the connection between norephedrine and slow-wave sleep, and my quick search has not cleared up how this researcher made that connection - as the counter argument in the article states.

If you're curious about slow-wave enhancement and improving the restorative function of the brain, you can find out more on our website https://affectablesleep.com

[1]https://academic.oup.com/ageing/article/52/12/afad228/750330...
I'd be interested in seeing the optical spectrograph of the LEDs. If you want to simulate sunlight you want a full-spectrum LED like a Samsung LM301 series LED which are popular in grow lights. Not all LEDs are created equal, and even the LEDs in many "grow" lights only show two sharp peaks at red and blue wavelengths. A full-spectrum LED will output colors across the visible spectrum of light. You can't tell by looking at them, so you can either buy ones from which you trust the manufacturer or do what I did and build a cheap optical spectroscope using a raspberry pi with a small camera attached, a spectroscope lens, and some python code. I'm sure there are guides you can find with a quick web search if interested in making one.
AI "thinks" like a piece of rope in a dryer "thinks" in order to come to an advanced knot: a whole lot of random jumbling that eventually leads to a complex outcome.
I'm not aware of any CSV library that doesn't follow RFC4180 by default, and yet... this whole thread.
I think it remains to be seen what happens with this, but so far I think there's been more noise than fundamental shifts. I don't mean this as a criticism — I sympathized with the essay and agree with a lot of the points it makes — I'm just saying when I've looked at things more closely and discussed things with colleagues migrations are harder than they seem for reasons on both sides of the Atlantic, Pacific, or northern border.

You're right about the salaries but a bigger issue is that academics is financially in trouble everywhere, not just in the US. In some places I know of the political factors behind this trend kind of echo in a weak way some of the problems in the US, like decreased immigration, in some cases brought on by legislative decisions and whatnot. There just isn't a huge pool of money for academics anywhere. Maybe the EU, Canada, or Australia or NZ can step up to the plate, but pretty much everyone I've talked to in those areas have been in financial crises of their own.

I just don't see a huge upswing in funding so far with these things.

Some of the hiring initiatives that have been touted in the media, for example, in Europe, have been laser focused on areas that have been targeted by Trump, such as climate, vaccines, and sexual and gender minority researchers, and even there the funds are pretty limited.

Similarly, this piece points out these Yale professors were being recruited for two years before making this decision. They cite Trump in their decision to move, which I don't doubt played a role, but I also can't help but wonder how much after the fact rationalization is going on or in similar cases whether it's more the feather that broke the camel's back. It just looks like something that had a good chance of happening anyway.

I guess what I'm saying is so far what I've seen looks a lot like academic recruitment always looks, with a couple of very minor exceptions. I'm not hearing about a lot about efforts to do something that might not have otherwise happened, or to leverage "moneyball" tactics in hiring Americans.
Voters don’t take campaign platforms at face value, they view them through their experience. People in California aren’t experiencing Democrats actually fixing housing. But they are seeing large employers like Google post stuff like: “Google is proud to be an equal opportunity and affirmative action employer.” (Google deleted that language from its website recently enough that it still shows up in the Google search results blurb.) And Democrat politicians are supportive of such efforts.

At the end of the day, the Biden administration built way more DEI departments than EV chargers. And Democrats own that.
I saw a reel the other day where some Young People(tm) were talking about "the ChatGPT hyphen" (an em-dash.) There was much wailing and gnashing of (false) teeth from Old People(tm) in the comments.
This is extremely useful when you're looking for granularity finer that a line. Being able to have "blame"-like functionality per token is wonderful, when needed.

My personal use case was when trying to decide origin of some code. Instead of getting who touched "something on the line" (which might be a comment after the code), you really get where each piece is coming from.
Oops, I'm four days late but - no, it appears to have been removed there too. If I'm missing it please let me know.
That's true, I do use them a lot on iOS as well—similarly, it's a long-press on '-' to get an en or em dash.
No, it probably exists in the raw LLM and gets both significantly strengthened and has its range extended. Such that it dominates the model's behavior, making it several orders of magnitude more reliable in common usage. Kinda of like how "reasoning" exists in a weak, short range way in non-reasoning models. With RL that encourages reasoning, that machinery gets brought to the forefront and becomes more complex and capable.
> many of the Tennant rights are waived for it if the primary property is owner occupied, aside from some cities like oakland

And this can change overnight... CA cities have made some pretty drastic changes quite suddenly in the past. Not worth it. Eg: https://www.mv-voice.com/news/2025/01/29/mountain-view-stren...
Yeah definitely, I’m more referring to the bending process, material selection, fastener types, etc. It seems like quite the art form
Google Workspace has it built in https://workspace.google.com/resources/esignature/