skysight-inc/HackerNews huggingface dataset:
> Newtonian physics is still settled science even though we have relativity to give more accurate results..

You've proved my entire point in your very first sentence and then go on to say I don't seem to understand how scientific models and theories work.

> Nobody believed in geocentrism due to "Science"...

This isn't a serious argument. Feel free to look up the works of Aristotle, who is sometimes called the first scientist.

I don't have the energy to address the rest of your incorrect conjecture.
In case anyone hasn't seen the Onion video:

https://m.youtube.com/watch?v=9ntPxdWAWq8

HP Offers 'That Cloud Thing Everyone Is Talking About'
Yes, Elon hires Cs.

eyeroll
> But I’ve noticed the way people respond to ambiguous statements reveals a lot about their internal state

Which then opens up more questions–is that moment in time quality of state something of that particular moment, or of that particular context, or a more stable disposition? I could see the image assessment working to fulfill whatever theory is used by the assessor, something similar to fundamental attribution error.

The fundamental attribution error refers to an individual's tendency to
attribute another's actions to their character or personality, while
attributing their behavior to external situational factors outside of
their control.

https://online.hbs.edu/blog/post/the-fundamental-attribution...
One aspect not covered is how varied and wide ranging across the code and deployment platforms maintenance is done. One day you are tracking down a problem that's found to be caused by picking characters from UFT strings using indexes, and the next day the problem was an asynchronous job assuming all exception sub-classes of a common super-class can be ignored. These context switches physically hurt.
The National Institute of Standards and Technology Braces for Mass Firings
I built a "Tinder for SaaS" – try it for free
It's funny they don't have Hugging Face as their Partner. Literally, the biggest face of Open LLMs sitting right in Europe, but somehow it's not a partner.
> But it's a sort of "bs" unproductive job, fixing up poor outcomes, and overall a less efficient scenario that experts doing it right in the first place.

I expect this theme to repeat all the time from now on.

And also I expect it to crimp the growth of several people, because the AI solves the simplest problems and then they face an insurmountable wall trying to learn every concept at the same time when they need a small increment in code realism.

Software development will probably become extremely profitable for the people that can do it properly on the next couple of decades.
Yeah, using erewhon to gauge price of anything isn't going to yield anything good. Well, it will reveal how much people willing to overpay to avoid seeing "poor" people.
In my Python programming, I have found that ChatGPT makes me something like 10x more productive. From learning to use a new API to tracking debugging, and especially things finding errors in my code from stack traces. Getting results goes SO MUCH FASTER.

However, it has not alleviated any responsibility from me to be a good coder because I have question literally everything little dang thing suggests. If I am learning a new API, it can write code that works, but I need to go read the reference documentation to make sure that it is using the API with current best practices, for example. A lot of code I have to flat out ask it why it did things in a certain way because they look buggy inefficient, and half the time it apologizes and fixes the code.

So, I use the code in my (personal) projects copiously, but I don't use a single line of code that it generates that I don't understand, or it always leads to problems because it did something completely wrong.

Note that, at work, for good reasons, we don't use AI generated code in our products, but I don't write production code in my day job anyway.
Belying the name somewhat, I believe U+3000 is specifically meant for use with Sinoform logographs, having the size of a (fullwidth character) cell, and so it makes little sense in other contexts.
I’m guessing that when Social Security started being paid out in 1937 that many US citizens were born around 1875 and also did not have a birth certificate. So when the system was computerized in the ‘70’s there was no way to correctly input data so they simply continued that method.
The free version, at least once you are logged in, does as well. I don't pay OpenAI, and for the prompt

"Calculate the difference between the two biggest primes less than the factorial of 20"

it wrote the following code:

import sympy

# Calculate 20!

factorial_20 = sympy.factorial(20)

# Find the two largest primes less than 20!

largest_prime = sympy.prevprime(factorial_20)

second_largest_prime = sympy.prevprime(largest_prime)

# Calculate the difference

difference = largest_prime - second_largest_prime

difference

executed it, and produced the correct result, 40.
No way. 768GB of ram will have significant power draw. DDR4 (which this probably is) is something like 3W/8GB. That's > 250W alone.

So, say 500W. That's, for me in my expensive electricity city, $40/million tokens, with the pretty severe rate limit of 5600 tokens/hours.

If you're in Texas, that would be closer to $10/million tokens! Now you're at the same price as GPT-4o.
First, DOGE proposes to reduce the size of the federal workforce, so the need to recruit talent may not be that great, second they might recruit from the pool of talent that supports all of this -- it might be a small pool, but if the workforce is small enough...
Depends. I like when it's used artistically and you're intended to notice. I've been listening to a lot of AI covers and some of them lean into the artifacts to a high degree in different ways, akin to noise music. First track here is a great example:

https://youtu.be/HgfsKS-Ux_A
The complexity has grown but not the quality. We went from writing ADA code with contracts and all sorts of protections with well thought architectures, to random crap written in ReactJS in web sites that now weigh more than a full install of Windows 95.

I’m really ashamed of what SWE has become and AI will increase that tenfold as you say. We shouldn’t cheer up on that, especially if I will have to debug all that crap.

And if it increases the number of engineers, they won’t be good due to a lack of education (I already experience this at work). But anyway I don’t believe it, managers will not waste more money on us, that would go against modern capitalism.
That depends entirely on the design of the context around the content. There is no hard-and-fast rule that AI is bad.
Ok, fine, compare it instead to misleading anecdotal evidence surrounding dietary supplements. We know vitamins(/minerals/whatever) are compounds that are strictly necessary for life. We know that some health outcomes are tied to deficiencies or surpluses of these molecules. We know that in some, very specific cases, a disease is most effectively treated with OTC supplements.

We also know that, despite the vast quantities of anecdotal evidence readily available, taking 500% of your recommended daily value of Vitamin C will not actually effect the duration of your upper-respiratory tract infection. In fact, even ignoring the quality control issues in many commercial supplements, sometimes you can't even treat the deficiency of a specific nutrient with oral supplementation. And yet, again, many people will happily attest to the lifechanging benefits of supplementation to counteract a deficiency they likely never had.
I’m surprised why LLMs don’t have in their system prompt a hard rule instructing that any numeric computations in particular, and any other computations in general must only be performed by tool use / running Python.
Here's me hoping that hiring managers / HR will finally start actually calling references and/or checking open source contributions. I have plenty of both, and in my 14 year career have had only 2 companies call my references, 1 check my open source work. So far they all just give me some bs test job to prove that I can do basic CRUD programming despite being a senior engineer, over and over and over again, which could all be avoided with just a phone call and a basic conversation about tech stuff with their technical team ... but they are either lazy, incompetent, or a combination of both, so I get a bs test job - sometimes even before I manage to actually get the first interview. I decline all of these, of course, but there's so many and it has made job searching quite difficult.
good luck with this

how hard would it be to break even with 200 chickens in a typical European town (excluding land costs)? i am just imagining if a small company decides to raise its own chickens-eggs for lunch time...
You still can't get 100% reliability that would be necessary for certain problem domains.

There are going to be some level of hallucination errors in the translation to the agent or code. If it is a complex problem, those will compound.
Demo it! rather than SignUp or SignIn.
In that case I don't see your point. We're talking about words that are entirely foreign — not loanwords.
The issue with "mining" the rom for shaders is they're not defined in a consistent way across the games. Games using the same base engine could have their shaders stored and referencable in a consistent way - but that would not be a catch-all solution for all games, which means you still need a fallback. Most of the ROMs are obfuscated and it's not possible, at least not currently, to "know" all the shaders being used in the game before the hardware calls to load the shader come through the game binary while it's running.

The best experience so far is downloading an additional shader cache alongside the ROM - in some rom formats these can also be included alongside the ROM which acts like a dictionary and can facilitate loading into the emulator vs having to add it as a "mod" for that specific game. Adding this to a DHT type network for "shader sharing" would be great but might open the door to some abuse (shaders are run at hardware level and there are some examples of malicious shaders out there) - Plus you'd be exposing the games you're playing to the dht network.

Anyway - Just a succinct example of the level of effort that goes into making an emulator "just work".
Yes, but the takeaway message is that even laypeople can invent how LLMs should work.
I've taken this approach, and found that it's trivially easy to distinguish people relying on LLMs from people who have thought the problem through and can explain their own decision-making process.

I had a couple of people who, when asked to explain specific approaches reflected in their code, very obviously typed my question right back into ChatGPT and then recited its output verbatim. Those interviews came to an end rather quickly.

One of my favorite ones was when I asked a candidate to estimate the complexity of their solution, and ChatGPT got it wrong, giving O(log(n)) for an O(n) algorithm. When I asked leading questions to see if the candidate could see where the error came in, they starting verbatim reciting a dictionary definition of computational complexity, and could not address the specifics of the problem at all.
>> > This is not to say that one should not try to improve equality, but I think that introducing intentional unfairness (e.g. tampering with school or class or job qualifications) or trying to reduce excellence is a valid way to do it. Instead, it’s possible to improve equality by increasing the fairness of some parts of the overall system.

I am indeed missing a "not". That should be "...is not a valid way to do it".

And I kind of agree with you. I spent quite a bit of time growing up kibbitzing conversations with people involved in the now-defunct University of California affirmative action system, and I learned a few things, or at least a few things that the people I talked to believed. There are plenty of things one can measure: SAT scores, GPA, race, parents' income (W-2, AGI, whatever is reportable on FAFSA), statistics about the high school that the applicant went to. And there are goals one can try to meet with one's evaluation and that one can try to estimate: aptitude for college, grit, race (of course), degree to which they outperformed expectations, etc.

So one can be fair in the sense of admitting people only based on their present measurements (SAT score, for example). Or one can be differently fair and throw parents' income into the mix, but this has issues: certain groups, in a manner that is highly correlated with race, have family wealth and resources that are not reflected in W-2 income. You can try to correct for that by throwing race into the mix, and that is a giant rabbit hole and now rather illegal. One can try to account for kids who have excellent aptitude but test poorly because they were at a bad school, and this is hard, and maybe one's analysis indicates that race should be a feature used for this purpose, and see above about rabbit holes. One can strive for racial equality (does that mean equal fraction black and white? or matching population demographics? population demographics where? or just less outrageously imbalanced?), but how does one go about this?

In any case, the laws and judicial opinions changed, and UC had been considering race, and they stopped. And I think this was for the best. Regardless of statistics, considering an applicant's race directly seems very unfair. And it forced the people who wanted to improve equality to find what I think are better approaches: outreach, trying to improve the pipeline, etc. And, frankly, I don't think I'd want my own race to be considered in my applications for things, regardless of whether that consideration would make me more or less likely to be accepted.
https://archive.is/aaOoO
Good point, it definitely isn't hands off from what I have seen. Just fewer people needed to manage those integrations.
> With enough at bats, it will have it.

viral pun
> is an even better argument for universal pensions (which isn't Social Security, as was never meant to be treated as a pension to begin with)

That's one option. Another is better distributing productive capital. Building public housing so its occupants wind up owning it, for instance.

But that's getting into top-down redistribution at the federal level, which isn't in the cards for now. Within the context of cities and states, pensions are no longer a good idea.
In the same vein, it's annoyingly difficult to argue against accusations of being argumentative.
> It can be argued that computer science is even more fundamental than math

Perhaps "touches on more fundamental concepts than". Otherwise the fact it has the word "computer" in it and being only decades old makes being fundamental hard to support.
Insulting politicians isn't free speech and America is going to descend into fascism because they allow people to get away with shit like that. Germany is leading the way, showing the rest of the world how democracy is done.
Ukraine's border security might not be the best recent example.
Trump's Turn to Russia Spooks U.S. Allies Who Fear a Weakened NATO
I wonder if this has a connection to training AI?
European projects are often long and ponderous, but they do deliver. There's a long history of state-sponsored academic collaborations, like the venerable CERN.
One of the best interviews I've encountered as a candidate wasn't exactly a pair programming session but it was similar. The interviewer pulled up a webpage of theirs and showed me a problem with it, and then asked how I would approach fixing it. We worked our way through many parts of their stack and while it was me driving most of the way we ended up having a number of interesting conversations that cropped up organically at various points. It was scheduled for an hour and the time actually flew by.

I felt like I got a good sense of what he would be like to work with and he got to see how I approached various problems. It avoided the live coding problems of needing to remember a bunch of syntax trivia on the spot and having to focus on a quick small solution, rather than a large scalable one that you need more often for actual work problems.
Chicken wire doesn't actually protect chickens from predators... Half inch or smaller hardware cloth is needed to keep them safe. The coop itself is a 4x8 (about 4' tall) building on stilts because that's roughly the minimum space that's healthy to keep in the winter if they get snowed out of their run. And I dont know where/when you've seen chicks for less than $1 per bird lately, last time I saw that was on broilers last year when the local feedstore accidentally ordered like 3000 instead of 300 and they were literally giving them away. Otherwise chicks are $4-5 each
The admin API wasn't really official - at least I couldn't find documentation anywhere and had to piece it together from the source code. And regex filters didn't seem to work through that - didn't get an error back, but nothing changed either.
actually the new default is sane. its WAY WAY WAY WAY better than before. especially for multi uploads. it's basically one of the features where gcloud had a insane edge. another thing was If-Match in cloud storage.
Depends on the goals. If they were fine-tuning leading foundation models, then I could see this being an entirely sensible undertaking. But since their goal seems to be to make foundation models, I don't think that they will end up being the leading models with so many other conflicting requirements.
to be more precise, we're heading into a world where the radio signals blanketing our planet will be leveraged as a realtime omniscient surveillance field. [1][2]

i sound like a conspiracy nut every time i bring this up, but wireless-networks-as-a-sensor seems unavoidable. there simply is no way to keep improving wireless transmitters without also increasing their environmental awareness and therefore leaking data about physical spaces. even simpler networks like wifi will dynamically adapt channels, frequencies to optimize speeds and it turns out you can extrapolate a lot from that [3]. advanced networks with features like beamforming are even more responsive to their environment and therefore more leaky. we're making accidental cameras, and they can see through walls.

it seems like this is going to be a "feature" of 6G mobile networks. read up on "joint communications and sensing" to find research in this area. (it's not just nokia.)

[1] https://www.nokia.com/blog/building-a-network-with-a-sixth-s...

[2] https://www.nokia.com/about-us/newsroom/articles/nokias-visi...

[3] https://news.ucsb.edu/2023/021198/wifi-can-read-through-wall...
> Few Americans are unfamiliar with either of these tech leaders. Fewer than one-in-ten say they’ve never heard of Musk (3%) or Zuckerberg (6%).

I feel like this is a bit ... incomplete. Almost everyone knows who Zuckerberg is, but he stays out of the limelight for the most part. For the most part I don't go about my day knowing Zuckerberg's opinions on most political matters. Compared to Musk who has thrust himself into a 24-minute news cycle.

Also, we cannot understate how influential the release of The Social Network was, which almost coincided with the mainstream success of the platform. From almost day 1 in the public eye Zuckerberg was cast negatively.
Pretty interesting. I guess it was way later, when they came up with the SUID semantics and appropriated the first character for symlinks (l) or setuid binaries (s)...
No, you're not safe if your chickens are exposed to wild birds. If they're outside feeding on seed that other wild birds also have access to they're at risk.
How come almost all humans live longer than dogs then. Dogs don't smoke and they are very physically active, yet they generally die before the age of 20*.

The article is a based on a over generalisation from study results that are not applicable in the way that the article claims.

*The dog metaphor is sort of a joke, but it is true for the human case to, due to the fact that you cant factor out the genetic "effect" on behaviour.... ie. behaviour and genes are too intertwined to separate from each other. Smokers smoke in part cause they have the genes that make them more likely to smoke (or exercise, or overeat, or do whatever; just pick any example that is unhealthy).
> Im not surprised you dont really care about the power usage to achieve that. Its quite telling that your alternative that you suggest is more power hungry air purifiers.

Huh? I'm literally explaining, with actual measured numbers, how the ventilation system uses less power. I do care about it!
Apple’s webkit team killed customised built-in elements by refusing to implement them on ideological grounds, so you get a dripfeed of piecemeal solutions instead.
Yeah, for me <5MB per pic uploaded (and then compressed) and 5-10 images limit per user should be sufficient to start. That, or some platform specific things like you only get to 1 upload per 10 votes...

Good reminder to set usage caps with a deployment
If you read what is now the first comment, it says something about a project with similar aim and scope that already achieved some of the points
geocities style site with AI. A website that gives everyone a blank page. Then the user can interact with an LLM/AI to build out the page. User1 might add a feed of X/Y/Z related tweets/bsky posts. User2 might have a section on their page for motivational quotes, a todo section and top news in the UK. User3 might have a different rock song everyday etc.

I thought of this earlier today and wasn't going to make it but now that I've typed it out it is tempting.

pages.ai is available (... for €95,840!)
Poland's $700M Microsoft deal sparks EU digital sovereignty concerns
Musk doesn't give a shit about any of that waste. People aren't pro government waste, they're anti political grandstanding about meaningless crumbs as a distraction while a literal nazi-saluting fascist eats the rest of the pie.
Demystifying On-Device AI on Instagram and TikTok
That's awesome. My father has been waging a similar war with the coyotes in the woods behind our farm for maybe 5 years now. Your foxes sound way more intrepid though, the coyotes here haven't tried burrowing, yet...
More importantly, for every Charles Lindbergh, there are a hundred to a million people with just as much skill, talent, charisma, whatever, who just had slightly worse luck in some aspect.

For that reason, we shouldn't over-index our society around the Charles Lindberghs.

Bonus points: You are less likely to empower literal nazis.
Amazon Surpasses Walmart in Revenue
Homebuilders have lots of reasons to feel downbeat about the housing market
Fair enough. Happy to scrub.
The web. Some people use that.
Because it's a bureaucratic union of 27 countries with goals other than making obscene profits, side-effects be damned?
Yeah, but that's tool use. It's not the LLM realizing it needs a calculator, but rather a tool use prompt (instruction) causing it to predict a tool invocation sequence that is then intercepted by the model-calling scaffolding.

With reasoning models they could choose to do it slightly differently - just tell the model what tools are available, and how to invoke them, and let it decide when to use them in more flexible fashion, rather than rely on fine tuning to follow tool use instructions.
census.gov housing starts: https://web.archive.org/web/20250219145502/https://www.censu...

National Association of Home Builders builder confidence: https://www.nahb.org/news-and-economics/press-releases/2025/...
'Uber with guns' app launches in Los Angeles
This was announced over two weeks ago: https://openeurollm.eu/launch-press-release
We're sorry we created the Torment Nexus (2023)
Show HN: Qute Spring Boot starter as a Thymeleaf alternative templating engine
'Normal thing to do': Japanese fans tidy up at World Cup (2022)