skysight-inc/HackerNews huggingface dataset:
From the paper’s introduction:

> Machine learning (ML) models for materials science have the potential to vastly expedite the computational discovery process. State-of-the-art ML models can predict the results of physics-based quantum mechanical calculations but are several orders of magnitude faster, making them ideal for predicting general material properties [5–7]. In addition to direct property prediction, combining universal ML potentials such as M3GNet [8], CHGNet [9], and GNoME [10] has made it possible to perform geometric optimization, and hence evaluate thermodynamic stability, for arbitrary combinations of elements and structures. The significant speed advantage of ML-based techniques over direct simulation has made it possible to explore materials across a vast chemical space that greatly exceeds the number of known materials.

Models mentioned:

M3GNet: M3GNet is a new materials graph neural network architecture that incorporates 3-body interactions. A key difference with prior materials graph implementations such as MEGNet is the addition of the coordinates for atoms and the 3×3 lattice matrix in crystals, which are necessary for obtaining tensorial quantities such as forces and stresses via auto-differentiation.

Source: https://materialsvirtuallab.github.io/m3gnet/

CHGNet: A pretrained universal neural network potential for charge-informed atomistic modeling (see publication). Crystal Hamiltonian Graph neural Network is pretrained on the GGA/GGA+U static and relaxation trajectories from Materials Project, a comprehensive dataset consisting of more than 1.5 Million structures from 146k compounds spanning the whole periodic table.

Source: https://github.com/CederGroupHub/chgnet

GNoME: GNoME Is A State-Of-The-Art Graph Neural Network (GNN) Model. The Input Data For GNNs Take The Form Of A Graph That Can Be Likened To Connections Between Atoms, Which Makes GNNs Particularly Suited To Discovering New Crystalline Materials.

Source: https://gmnomeai.cloud/
This doesn't feel like a loophole though, it feels like they have optimized S3 and intend your EC2 instances to use S3 as storage. But maybe not as transfer window, that is, they expect you to put and leave your data on there.
How to Build a High Performing Team
What do you mean not usable on Virtualbox? I just spun it up last week and have had only a few minor rendering glitches (that aren't really common for me to hit, either).

Edit: now I see that that is the known issue. However, I only hit it in a few places:

- Start menu search
- Visual Studio installer
- Visual Studio launch screen

It's not really unusable, though; the Start menu issue is just a flicker and the VS issues are simply the wrong text being rendered until you mouse over it. It's a bit annoying, but I am fine with it.
The worst thing about your CV is the non-chronological layout and the second item the "University of Bedfordshire"

A lazy recruiter will see that as a watermark as your education and assume the rest is amateur stuff. This makes it look like you have less than one year experience.

For some companies/recruiters they often like to see month and year for each position. It can be a red flag as it looks like hiding of career gaps.

Lack of personal statement is a lesser problem. Recruiters won't necessarily care, but it makes a hiring managers job harder. The job positions should be seen as supporting evidence for the claims in that statement.

That said, despite these problems, the jobs market is at the slowest it's been for years. Particular for more senior roles.

My company has a hiring freeze despite being profitable and growing and we're cutting costs to avoid making people redundant.

I'm UK based and have reviewed hundreds if not thousands of CVs.
On the one hand, I suspect OpenAI does stealth updates of the model sometimes, or adjustments to the chat product.

On the other hand, even move-fast-and-break-things mentality knows that some of December should be in production freeze, emergency-only updates.
I've been at it for 20 years this year, professionally. For 38 years otherwise.
I still haven't learned to do it right ;)
Honestly I hate this new trend of AI/ML papers not even describing the model anymore. They used a graph neural network model called M3Gnet. It's mentioned in the APPENDIX.
You are a gem man. Honestly this is my first product ever launched. I have zero marketing experience, that's why just launched it to see how it goes.
Your feedback is very valuable. I will review each point very carefully and will try to implement it as well. Thank you.
China sooner or later will 100% indigenize smartphone OLED panel supply chain
You mean ‘people who refuse to participate in time destroying corpo-brainwashing.’
There's still a huge selection effect. He could have been solving programming puzzles as a hobby for the past fifteen years for all we know, and his degree might have little to do with his AoC skills.
https://www.scaleway.com/en/
$50 million is enough for you and maybe a few descendants to live comfortably for the rest of your lives, but certainly not an amount of money where you'll be able to do anything you want for perpetuity.

You probably won't even be able to buy a superyacht comfortably, and a megayacht is absolutely out of your reach. For that you need to be a billionaire
> MS fired all testers and scrapped their testing hardware and now they are testing virtually in cloud.

I'm fairly certain this isn't the case. 1) Microsoft still adds Microsoft drivers for hardware; this implies having hardware and people to work with it. 2) Microsoft has a massive base of corp and gov customers buying hosting, surveillance, etc. Widespread issues with Windows would could affect that.

I'll go out on a limb and guess the fired all testers theory arose when the insider program became widely available to the public.
I use Firefox on iOS (which as we all know is mostly not Firefox). I don't have a google account. Nothing else exotic.

YouTube serves me an ad every 3 minutes or so (I've not timed it). If I ever seek in a video, again, an ad. Even if it didn't play any video yet.

I can't figure out why they think is is a good idea. I've seen the same iPhone ad so many times.
I know this is often repeated and believed, and to be honest I sort of believe it can work, but my belief is unsupported.

Are there serious and conclusive studies showing that ads affect purchasing decisions "subliminally" like this? Even when you are not interested in the ad, or even irritated by the fact you're not allowed to skip or hide it?
If you like type-level math, I really recommend the Idris 2 language. It uses this same system for numbers, and is somewhat-magically able to identify isomorphic structures like linked lists.
You're frankly spreading nonsense...Starlink remained active in Ukraine at all times. Musk only refused to activate it in Crimea, where it was never activated before because of sanctions [1]. After that, the U.S. military signed a formal contract and now decides whether to activate it or not.

Musk admitted to talking to Putin a few times. But you've somehow cooked up a conspiracy of him actively monitoring Ukrainian troop movements and feeding the info back to Putin...seriously?

1- https://www.bbc.com/news/world-europe-66752264
Right? I don’t consider it merely “good enough”, it’s actually really well-executed and of a surprisingly high quality. Probably the most meaningful tech purchase I’ve made since my MacBook Pro in 2014, in terms of direct positive effect on my life and my time spent with it. Maybe the Fujifilm X-T2 could be a contender there too, but I don’t do a lot of photography, so… But anyways, the Steam Deck hardware, design, and well-integrated OS, is really impressive to me.
Boeing to increase quality inspections of 737 MAX production
First off, that article seems to be specific to web versions and pivot tables. Secondly, yeah, a few million rows isn’t that much for some use cases. I have at times needed support for mid 9 figures.
If you don't have specific data, you can still frame your work in a way that is more compelling than, "I can code in Python and I worked at XYZ company for 3 years." Whatever value you were adding, put that first, even if it's just "built new products that increased company's sales and helped expand to X new markets."
No I never did protein shakes to bulk up. Most I ever weighed has been 180 to 185 (5'10) pounds but use to focus all my gym routine on weights and weight machines. I Was a lot more cut then...now leaner and still pretty cut (173 pounds 5'10 at 48) via a lot of swimming, hiking, biking & sometimes small weights(on a break currently from any weights).

After recently taking and highly regretting taking a high one dose of doxycycline my function took a temporary (hopefully) hit falling 15 to 20 points(past three years I've maintained around 80/85 function out of 100). I can tell per itchy skin, minor joint pains (creatinine build up) or sitting too long feeling my leg has fallen asleep(before diagnosis when I was at 55 function I did a long drive got out of the car & my legs fell asleep so bad I could barely walk until they woke up per say). Ive changed my diet further as my most recent labs (get tested once to bi-monthly) showed my LDL cholesterol is Way too high..now eating meat (chicken..high in cholesterol)only once a day, no ice cream (high in cholesterol) , a reduction of cheese intake and no cheat days (once I got my function up to 80/85 I allowed myself a cheat day or two). If blood isn't flowing in a healthy manner to kidneys due to high LDL then I think that is another factor along with the one high dose of doxy I took that has currently has my function not where it was but I believe it's a temporary thing.
> We must viscerally react and show our disdain for this thing in order to be approved of by the group.

I don't think this is where I'm coming from, at all, yet the snark in your response seems like the very thing you're railing against.
My guess is we won't know when we've developed a sentient AI until we're well past the point that it's undeniable, and then in hindsight we might be able to identify where it began to transition from non-sentient to sentient.

Sentience isn't even well-defined and I'm not sure we can even point to any unique quality of any individual human as indicative of sentience. We certainly can't agree on what point an individual human becomes sentient, as evidenced by the abortion debate. At best we seem to have some statistical evidence based on what we've achieved as a species being superior to what oak trees have achieved, but at an individual level, I don't know how to prove to anyone that I'm not just a very advanced LLM.

There is another sense where sentience is just being used to mean "that which is human", and by definition, nothing aside from humans will ever qualify as that.
Very interesting. According to the benchmarks, with this algorithm, users can review 20-30% fewer cards than with the classic Anki algorithm.

Just a few days ago, I published a Python implementation of the classic SM-2 algorithm that I use for https://python.cards, but I may switch to FSRS. https://github.com/vlopezferrando/simple-spaced-repetition
That's a nice little story until you find out that "unreasonable" in this case meant "nVidia didn't buy back units EVGA overstocked on with hopes of scalping people in the crypto-craze and refused to take the loss for EVGA".

Sure, "unreasonable".
What about people that were willing to pay Premium Lite and got fucked by YouTube when they summarily ended that subscription tier to push people into the more expensive Premium with unnecessary features? Are those paying users getting shafted or do those end up in "not being worth focusing on"?
Goal: To assess the interest level among developers and creators in using a blogging and project update platform.
Show HN: Rapha – your startup's first recruiter
What'up HN! My name is Masoud, Founder of Rapha (www.withrapha.com) Getting close to our pilot program launch for Rapha, thought I give y'all a sneak peak. Check out Rapha in action

If this is your first time hearing about us, let me get you up to speed. We're a end-to-end ATS (Applicant Tracking System) aiming to being a startup's first recruiter + recruiter's first co-pilot.
--
For decades, recruiting has been haunted by the boogeyman...and that boogeyman is called qualifying.

As the referral network dries up and forces recruiters, hiring managers, and founders, to start prospecting...all they have to go off of are resumes + LinkedIns + their judgement = hoping for the best lol.

Applicants on the other hand are struggling with trying to separate themselves from the rest of the pack. On paper...everyone looks the same...but the resume has failed to capture that one attribute that has significant impact on their hiring decision....and that is the applicant's origin story.

For the very first time, companies are now able to ask those burning questions up front. Recruiters and HMs can now minimize time-spent in calibration meetings and focus on being present for the applicant. You can ask engineers "how would go about debugging this line of code" ask a product designer, "Walk me through your design process"...and listen to their walk through and rationale. Resulting in redefining what the "first call" means and for others, skipping the first call and jumping straight into the details!

The choice is yours on how you want to leverage Rapha. Which ever way you do, one thing is for certain...

--

Now for some FAQs:

1. "Will passive applicants apply to roles when seeing the audio questions?"

- Yes. We learned that applicants of all kinds (inbound, referral, outbound) enjoy the thought of accelerating the process by answering questions coming directly from the HM/Founder.

2. "Will Rapha be replacing recruiters + sourcers?"

- No. Rapha can be leveraged in so many ways by recruiters. Whether you're a solo-recruiter at a startup or have a full recruiting team. We empower them to be present with their applicants instead of playing keyword bingo all day.

3. "Will engineers + technical people apply if they see this?"

- They will. Because we are doing the inevitable -- you're gonna need to speak to someone eventually and it's in the applicants best interest to control the narrative :).

--

Our Demo:

You can check the demo here: https://x.com/MasoudByDesign/status/1733690815313268936?s=20

Check out our job application we have open to join: https://app.withrapha.com/job/134?r=698c84e9-0415-43d5-acba-...

Thanks again for everyone's time...I'm here if you need me :)
They may be measuring the RGMII between the SoC and PHY instead of the 100BASE-T1.
The obvious is VBA for office, hard to kill. Else Photoshop comes to mind
I have a cargo bike, I carry two kids on it to school and back in the mornings and afternoons, avoiding the crazy car traffic other parents create at drop-off/pickup, and also can carry up to six bags of groceries (easily) which is generally enough food for a week or more.

We use our car to travel longer distances, like soccer tournaments over 5 miles away, or on the very rare case I need to haul something really big (which is such a rare need it’s worth just renting a truck).
The article suggests YT Premium users are unaffected by the slowdowns.
If you are getting slowdowns, you should message the article author so the article can be updated and YT can be shamed.

I have refused to pay for premium b/c they frequently wrap up paying members in their silly antics, and don't have the foresight to exclude paying users from their ad-block efforts.
I prefer this. I'm actually building it into one of my web sites. The only issue is that the thing was a bit of a stunt, and as part of that they centered it on Switzerland, which is GMT+1, instead of aligning it with UTC.
> A set of bits exists on disk

That's just what society's conditioned you to think.
Trader loses $5.7M to slippage in memecoin trade
> Regardless of what other people mean by "hard work", what exactly do you mean by it, and how exactly do the wealthy work harder than everyone else?

You get too caught up in the meaning of "hard work", as if your only purpose it to use its pedantic definition as a gotcha.

Hard work in the way you define it is not and should not be rewarded just for the sake of hard work. It cannot work this way and you don't want it to work this way, regardless of what you may think. If we did that, the world would stop working. So whether the wealthy work more or not is irrelevant.

> Musk

The anti-Musk sentiment is now at cult-like levels and I'm afraid that rational conversation is not on the table anymore. Somehow Elon's name is associated with some of the most revolutionary companies of the past decade, yet still you'd argue that he doesn't work hard, isn't smarter than his engineers, is basically just lucky. Whatever makes you feel better about yourself. If the guy who created SpaceX is not impressive to you, then I'm not sure who is.

He is kind of a moron in his tweets and has done some despicable shit, but I am able to separate this from his accomplishments.
Bezos optimized the peeing-in-bottles aspect.
Neither has anyone else ;)
Why does it being standard prevent you from being outraged? On the contrary, it should make you more furious that it’s normalised.

Plenty of bad things used to be standard: slavery¹, doctors not washing hands between handling cadavers and assisting in births², radioactive children’s toys³, throwing feces out the window⁴. As a society we should aim to discontinue or change those standards to something better, but we can’t do it if we shrug our shoulders because something is already commonplace. That only makes the situation worse, as the industries which take advantage of that complacency and lack of information continue to thrive.

¹ https://en.wikipedia.org/wiki/Slavery

² https://en.wikipedia.org/wiki/Ignaz_Semmelweis

³ https://www.energy.gov/lm/articles/holiday-toy-shopping-duri...

³ Alright, not that one: https://slate.com/human-interest/2013/12/did-people-in-the-m...
The original paper is a bit better, but focusses a lot on the novelty of combining pre-existing models and datasets with a lot of computation resources (courtesy of Microsoft, presumably) and calling it AI, and a lot less on the actual material.
Ooohhh!! It is, indeed!
If nothing else, setting up a facility to incinerate these discarded clothes would have allowed to recover the energy contents of the material. Beside a much cleaner burn - avoiding the disaster of open-air uncontrolled burning.

Afaik the EU recently decided to outlaw dumping clothes this way? Basically: retailers buy inventory, then must sell it or find proper channel to re-purpose. Shipping off to less-developed country by the metric ton not allowed any more (similar to regulations around e-waste). So at least some progress there.

But I wonder if anything will change concerning this desert dump. Say, same area 10y from now. My guess: probably not much change if any. Law enforcement is weak & the dumpers / dealers are many.
Ask HN: Is it possible to effectively discuss code architecture with AI yet?
I'm reasonably happy with the value I get out of talking with ChatGPT about functions, but I really want to discuss architecture. I've got a personal project that I'm working on mostly by myself. It's written in a language (Rust) and paradigm (ECS) which are both new to me. I frequently lament that I have nobody to discuss pros/cons of various architectural design choices with, but this isn't an issue at a function level. I want to be able to point my codebase (GitHub, IDE, or even concat'ing files) at a tool and talk to it about pros/cons of architecting in different ways. I want it to be able to judge the architecture decisions I've made and identify dumb mistakes where I'm going against the grain. I don't need it to design the architecture from scratch. I just want to know when I'm doing something obviously dumb at an architecture level.

I've tried a little with ChatGPT, but context length is an issue and it's a huge PITA trying to give it awareness of tons of small modules. I have copilot, but, to date, I've only really found myself using it as a glorified comment writer.

Does this exist yet? If so, what's a good approach? If not, is the limitation due to context length or is it fundamentally an issue that LLMs will struggle to intelligently discuss?
A bridge that is operated and maintained by a private party for 30+ years and whose tolls also go to that private party is, for all intents and purposes, owned by that private party for those 3+ decades. WDBA's ownership and oversight is a legal fiction - they have no way to displace the private company without compensating them absent gross mismanagement by the private company, and even that would be stalled in court.
The charitable (and more reasonable) way to interpret 'loving your tools' is not 'liking your tools intensely' but rather 'don't enter into an exclusive romantic relationship with your preferred tools'.

Generally if you can prove your ability to solve problems you get more credibility when deciding the tech stack, but given your assertion elsewhere that "tools are often dictated by those less experienced or even unknowledgeable", then your original question is basically how to prove yourself better than the "middle of the bell curve" under an unfair system.

I mean, the points you raised there are probably factual, but it's apparently not a really helpful (to yourself) way to look at things. Generally smart people are able to surround themselves with similar people, and don't really need to find ways to convince unknowledgeable people that they're smart. Software engineering is a huge field and I'm sure you could find people who more resonate with you.

And sometimes it just takes some years for people to realize you are right.

All that said, I think on the tooling part, it all just boils down to taste. Some tastes are more refined, but they're largely subjective or situational.
What matters is the structure of the program per se. The entire concept of the happy or error path is a cultural phenomenon that requires explicit acknowledgment and rejection to solve (excepting languages that demand error-handling to function)

In my experience, these metaphors are introduced to meet time constraints and produce shitty software.

It's fine to talk about these metaphors as efficiency-accelerants, but they don't produce quality software. Not that there are many companies trying to do that these days.
The claim was that all computer science graduates should be able to solve those problems in a few hours each, the counter claim was that only one percent of them is capable to do so. The existence of one computer science graduates capable of winning the contest does not really tell us anything and I think nobody doubted that there are computer science graduates that are easily capable of solving such problems. But the question was or is, are they the exception or the norm?
I can't source the video that I watched 5-6 years ago [0] but it made a point about the increasing numbers of programmers and how the majority had less than 5 years of experience. It made sense in the context of IT/web continually having a larger involvement in our lives.

[0] https://youtu.be/ecIWPzGEbFc?si=A4qBR2YdX-0CV2bM thanks to comment by wild_egg

Can safely say after 20 years that there's maybe a bunch of information I don't need to know anymore that people <5 years experience probably would never need. OTOH experience is experience and knowing the constructs of things and their reason for being is always helpful.

And that there's plenty less experienced programmers than me that can do many things I can't even imagine.

TBF it's a pretty wide field, this Turing complete stuff.