skysight-inc/HackerNews huggingface dataset:
Thank you! Glad you found it interesting and it resonated with you.

You can find out more about the next thing here - https://mura-website.notion.site/Founding-Engineer-at-Mura-1...

tl;dr - helping commercial HVAC providers accelerate and automate their order-to-cash cycle. Big and interesting market with a lot of opportunities for efficiencies
The guy who insists McDonalds is healthy, and claims that exercise depletes a finite amount of energy one has in their lifetime?
It’s profitable everywhere right now. The limit is whether you can build.
Doesn't this approach self-select for people who
- value their time less,
- don't have other things to do (family, hobbies, side-projects),
- unemployed people

It's one thing where companies are applying this to 1000 applicants for an entry level position, but they also use this tactic when they reach out to you and tell you how excited they are about your background and resume.

In reality they didn't evaluate your background or resume and are just cold-calling you to fill some portion of their "funnel", then ignore all their excitement and reasons they reached out to you and have you jump through random hoops.
That's a complete non-sequitur. If you cut off your feet and get shorter, it doesn't mean the human species has physiologically changed. And if you eat more calories and get taller, it doesn't mean the human species has physiologically changed.
The article mentions that carriages had odometers, which I found just as surprising as pedometers existing in that era. I'd love to see more tech that we consider beginning in the 20th century that is actually older.
A recent related post with proposed solutions:
https://news.ycombinator.com/item?id=41948474
Also if you don't want `jq` installed, `python` will also do it with `cat your.json | python -m json.tool`
If it gets the stuff off of the main site, I'd think it would be a net benefit...
Yeah, not my intent. I use LLMs a lot myself too...
Have you considered injecting the blood of teenagers to recover the level of healing ? /s
Snow doesn't really matter if you remove it.

And solar cells work way better if it is cold due to silicon having a lower resistance at lower temperatures.

So it's not all bad if it is not overly dark.
As Keynes said, "In the long run, we are all dead".

Maybe Andreesen will manage to live long enough for life-extension stuff to really get going. But when you're a billionaire, there's a good chance you're gonna die before your stupid choices can do enough damage.
See also: the US Postal service almost giving everyone in the country an email address. It didn't have to be this way!
At most places I know, a coding challenge is not "the way" to get accepted, it is a way to get rejected.

The hiring manager might hd really liked a candidate and conclude that a coding challenge just shows that the new hire would need extra time to ramp up.

Yet, ignoring money, you could excel in the coding part and the hiring manager might not like you because you lack "X" (e.g. "communication skills", "team culture", etc), which in reality is a way to put they just didn't like you or there were not really looking for someone to deliver, example, they were looking for someone to play politics or that might benefit the hiring manager more in the long term.

Not always the more technically capable candidate gets the job.
They're just encrypted IQ tests, working around the Duke Power supreme court ban on IQ testing employees.

You're being tested on your general intelligence, not because anybody cares about binary trees or reversing linked lists or whatever.
Isn't it, though?

Interesting -- I'm surprised this joke didn't land harder.

Thought experiment-- let's say you have the PERFECT transformer architecture and perfectly tuned weights with infinite free compute and instantaneous compute speed. What does that give? Something that allows you to perfectly generalize over your dataset. You can perfectly extract the signal from the noise.

Having a "world model" implies a model of the world and thus implies a model of the self distinct from the world. Either that or the world model incorporates the self, right? Because the thing doing the modeling must be part of the world in order for it to have a model of the world.

So, given a perfect transformer and perfect language model, you will at best get a perfect generalization of the dataset.

You cannot take a dataset that has no "world model" and run it through a perfect transformer and somehow produce a world model, aka, cannot turn lead into gold-- you have created information from thin air and now we are in the realm of magic and not science. It does not matter how much compute you throw at the problem.

Looking at the model is a red herring. The answers are in the dataset.
Your claim is not false, but not universally true either, the counter is alex jones, the flat earth movement, religion as well, you can spend nearly an infinity believing in lies. The human brain is quite malleable to lies.
It’s hard to wrap your head around how cheap solar is getting. Only get 1/4 as much sunlight? Just deploy 4x the panels!
Biological Miracle – Wood Frog
> US does not have a nationwide electric grid, so adding more solar power in Arizona or Florida can't supply Wisconsin with electricity

The Midcontinent ISO stretches into East Texas [1]. A unified grid wouldn't solve the problem, because it's one of transmission capacity and thus cost, not integration.

[1] https://en.wikipedia.org/wiki/Midcontinent_Independent_Syste...
> A “4-hour” assignment can quickly turn into 8, 10, or even more, just to ensure it’s in great shape.

The fun part of take-home assignments is that there's a moral hazard incentive to spend extra amounts of time on an assignment even if they say "only spend X amount of hours on it," even lying amount the amount of time spent if the interviewing company asks.

More than once I have completed a take-home assignment with emphasis on sticking in the timeframe they recommend but still solving the problem adequately, and then I get chewed out in the followup interview "why didn't you implement X?"

Relatedly, a massively open-ended take-home assignment is a bad take-home assignment since it favors those who have more free time to be thorough. (shoutout to the take-home data science assignments which ask for the final deliverable to be a PowerPoint presentation)
In general VR is easier for sure, as in AR the latency issues manifest quicker.

The sensor fusion of IMUs is usually not stable very long, but it does mitigate a few of the very noticeable problems with camera trackers.

Still, it always boils down to the power budget... having a 2.6 kg head mounted unit is ludicrous. lol =)
> Just deploy 4x the panels

This is where we're having issues. Solar production is ramping up spectacularly. But if we're going solar only, we need to move our 2050 targets out.
In California we pay a lot more for transmission than generation. Is that true in most places ?
I Feel Unsafe
Why would you even do any of that for a senior role? I wouldn't waste my time with it, and it shows you don't know how to interview/evaluate for a senior position.
Thanks. HVAC space is huge and as a home owner who literally just paid $1000 to replace a control board, I know how critical that market is. Will check it out.
Most places don't have qualified tech workers in spades.
It's my belief that it's Canadians that make Canada a lot less prone to political extremism.

But watch out: America tends to be on the forefront of things. Political extremism persists because it's politically successful. Extremists are enthusiastic, and moderates often follow them because it gets them what they want.

I hope Canadian's cultural adversion to the kind of behavior Americans display will save you for a long time to come. But the fact is that extremism works, and many people will prefer to win against their principles than lose with them.
> Connections, social intelligence, and knowing how to work the system is what moves things in Washington.

did you not see the last election? bribes, foreign contacts, and aggressive social media moves things in DC.

> but it's certainly off to a bad start with Musk at the helm. Sub 10% chance of success in my eyes.

they're not aiming for "success", they're aiming to dismantle things their benefactors want, and muddle the rest. nothing positive will come of this unless you're Putin, the Saudis, or one of a handful of billionaires.
Encores Are Becoming Less Common at Concerts
I approached DeepLearning.ai's courses with high expectations, drawn by Andrew Ng's stellar background as a Stanford Professor and now Amazon Board member. His contributions to AI education through Coursera's pioneering ML course were groundbreaking.

However, most short courses on DeepLearning.ai function more as product showcases than educational resources. For instance:

* "Building Agentic RAG with LlamaIndex” → LlamaIndex walkthrough
* "Serverless Agentic Workflows" → Amazon Bedrock tutorial
* "Building Multimodal Search" → Weaviate implementation guide
* “Evaluating and Debugging Generative AI Models” → How to use Weights & Biases

Yes, these courses are free. But they seem designed to funnel developers toward specific commercial APIs rather than build foundational knowledge.
Know what you're signing up for: hands-on product experience, not deep technical education.
hashtag#AI hashtag#MachineLearning hashtag#TechEducation hashtag#DeepLearning
In fact, the unusual aspect of this chess engine is not that it's using neural networks (even Stockfish does, these days!), but that it's only using neural networks.

Chess engines essentially do two things: Calculate the value of a given position for their side, and walking the tree game tree while evaluating its positions in that way.

Historically, position value was a handcrafted function using win/lose criteria (e.g. being able to give checkmate is infinitely good) and elaborate heuristics informed by real chess games, e.g. having more space on the board is good, having a high-value piece threatened by a low-value one is bad etc., and the strength of engines largely resulted from being able to "search the game tree" for good positions very broadly and deeply.

Recently, neural networks (trained on many simulated games) have been replacing these hand-crafted position evaluation functions, but there's still a ton of search going on. In other words, the networks are still largely "dumb but fast", and without deep search they'll lose against even a novice player.

This paper now presents a searchless chess engine, i.e. one who essentially "looks at the board once" and "intuits the best next move", without "calculating" resulting hypothetical positions at all. In the words of Capablanca, a chess world champion also cited in the paper: "I see only one move ahead, but it is always the correct one."

The fact that this is possible can be considered surprising, a testament to the power of transformers etc., but it does indeed have nothing to do with language or LLMs (other than that the best ones known to date are based on the same architecture).
>There is no logical association with "right wing" conspiracies in their decision unless they believe they are contributing to it.

>but irrelevant to the Guardian – unless they feel they are feeding it. That would deserve action, but otherwise... (from your child comment)

One can choose to leave a group/platform/party without believing they are contributing to the negative direction the group has taken. If I go to a social club and find that new leadership and new members changed the focus from sports to anti-immigration, I might not want to be associated with them anymore. That has nothing to do with feeling like I was "feeding it" or "contributing" to it.
Nope; I've come to terms with fact that we all are going to die someday. And, it is a good thing. :-)
That doesn't match my experience on both ends of the hiring table. And forgive me if forwarding the BLS statistics to candidates doesn't get them to accept offers, because I know it wouldn't help me when I can get paid a lot more elsewhere.
I don't have personal experience with CI, but have researched it extensively as a potential fix for my hearing loss. From what I understand, the number of electrodes or links to neural tissue is the limiting factor. With something like NeuraLink with 1024 electrodes, the resolution of the sound signal can be much higher. For something like early cochlear implants, with 8 or 12 channels, the signal is going to be very digitized and artificial sounding; you have to heavily optimize for a particular type or modality of sound, and that's usually speech. That means all sorts of nuance things like music and voices get lost in compression, or filtered out entirely.

Cochlear implants are essentially BCI implants, taking the place of the cochlea in signaling via neural tissue.

To completely replicate natural sound, you'd likely need somewhere between 15,000 to 30,000 electrodes. It's not linear, however, and 8-12 electrodes might get you to sound that is about 25% of normal, and 1024 will get you to 85-90% normal. Full fidelity of sound, or even better, will be possible once we get implants working with many tens of thousands of electrodes. People will have senses that far exceed biological human limitations.

One neat thing with all of this is that due to plasticity, any connections on the neocortex can be trained to behave as if they're wired to any sensory organ; there aren't any hard limits on where an implant has to be connected. If you had an implant with 50k electrodes, half of them could be dedicated to sound, and the other half to sci-fi level possibilities like BCI mouse and keyboard control, simple virtual displays through modified sight, secondary audio channels, North sense, radar, electromagnetic signals, or immersion tweaks that modulate proprioceptive signaling.

1-500k would allow for convincing replication of normal sight, with the obvious advantage that with everything being digital, you'd be able to process your vision in software (Please watch this ad before waking! Skip in 10...).

With a million electrodes, you could get into convincing totally immersive full sensory simulation. There would be some resolution issues, initially, but we're some materials science, software design, and engineering problems away from full Matrix style simulations. 1 sq cm of neocortex is all you'd need for access to 1 million neurons - things are pretty densely packed, and all the neurons we need to access live on the outer surface of the brain.

Things are gonna start improving and the rate will accelerate, so hopefully we start seeing radical doublings of cochlear implant and other BCI capabilities in the near future.

TLDR; as much of normal hearing as possible is compressed down to around 100hz over 8-12 electrodes in a cochlear implant. This results in significant quality degradation compared to normal hearing, but it can be a huge boon to someone who is totally or profoundly deaf. Implant technology is experiencing a boom, and we're going to see a period of Moore's law like scaling of electrodes until implants reach parity with the rest of our computing technology.
Also, if the modules are put in at high angle, up to vertical, they work better in winter when the Sun is low in the sky, and snow does not accumulate. In the summer one can even grow things between them. If the modules are bifacial, light scattered off the snow or sky behind them can be captured on the back surface.
I agreed with most of the things in the article. However, the debugging test is very reasonable provided they give you a heads up on the environment/language you're meant to debug. Depending on the language, setting up a debugger can be a test in it of itself.

Debugging (and setting up the debugger) is a core skill every developer should have.
I love the idea that the character and likeness would be Infowars' IP and went with the sale. That claim he made during the custody proceedings, about playing a character, should definitely come back to bite him in the ass.
"The PDP-10 operating system was TENEX, later called TOPS-10." (PUB manual, page 2).

What.
> You're being tested on your general intelligence, not because anybody cares about binary trees or reversing linked lists or whatever.

A lot of interviewers missed that memo. They are in fact very focused on a specific algorithm or design approach. It's quite tiresome.
This seems like a really thoughtful compromise, a meeting-in-the-middle that keeps optionality as open as possible for the child.
Am I alone in initially thinking this was specifically for the fish shell because of this tool's name?
ClearSky does this: https://clearsky.app/jimmy.zelinskie.com/lists
My recollection of AI in the past is that it was nothing like this.

If you look at the Wikipedia article 'History of artificial intelligence' for now it has 'AI boom' and '2004 Nobel Prizes' but everything earlier is kind of meh.

I remember sitting down with pen and paper to try to write a ChatGPT type chatbot 44 years ago and of course totally failing to get anywhere, but I've followed the goings on since and this is the first time this stuff is working well.
Ask HN: What is problem you found when develop AI Agent?
Hi Hacker News,

I'm curious about the problem you found when develop AI Agent ?

Please share and discuss
A 4K TV is 8.2MPix. You would need extremely good optics and a very high resolution display to make full use of a 12MPix camera, let alone more.
We solved that though, it's now pronounced “(h)aitch-bar-o-mega.”
Civil asset forfeiture is when law enforcement seizes property of someone suspected of a crime.

Jones was sued and lost. Now his assets are being liquidated to pay off (a small part of) the judgment against him.

Two entirely different concepts.
> I only need to trust a few sources though. It is very different from getting lots of software from lots of different people.

So then use a curated repository that contains or links (e.g. a source-based distro that uses content-addressed p2p distribution) such software, or don't. Just like today.

> If someone forks the project the original author can sue them for breach of copyright.

Assuming they know who the fork author is. Also, why is this a concern of the original author? They decided to share their work, you have it now, and you can decide what you're going to do with it. Everyone knows there's a large ecosystem of anonymous sharing of copyrighted material if you want to do that (or you can pseudonymously share by signing your fork and anonymously distributing it).

It seems incredibly unlikely that an organization could successfully argue they had an implicit license to use something however they want when there's an explicit notice that they do not. e.g. if the NY Times publishes an article on their site, you do not have the right to copy it. This is true in Berne Convention countries even if there is no copyright notice. Metallica can have the most pirated CD on the planet, but no court is going to say a TV show can use it now. Big orgs (the people the author doesn't want to freeload) know this, and they're not going to take such a stupid risk. Individuals, on the other hand, know that no one will ever find out that they copied it, so they can do whatever they want.

> What is the author waits until people are dependant on the software and then decides to demand license fees, or just gets greedy and sues for breach of copyright?

Not relevant to individuals. I could be "dependent" on a pirated copy of Photoshop and Adobe could never possibly know. This only matters for "freeloading" organizations, and the whole discussion is around preventing that, so mission accomplished.
Deeplearning.ai Courses: Product Demos in Educational Disguise
A Candid Review of DeepLearning.ai's Short Courses

I approached DeepLearning.ai's courses with high expectations, drawn by Andrew Ng's stellar background as a Stanford Professor and now Amazon Board member. His contributions to AI education through Coursera's pioneering ML course were groundbreaking.

However, most short courses on DeepLearning.ai function more as product showcases than educational resources. For instance:

* "Building Agentic RAG with LlamaIndex” → LlamaIndex walkthrough
* "Serverless Agentic Workflows" → Amazon Bedrock tutorial
* "Building Multimodal Search" → Weaviate implementation guide
* “Evaluating and Debugging Generative AI Models” → How to use Weights & Biases

Yes, these courses are free. But they seem designed to funnel developers toward specific commercial APIs rather than build foundational knowledge.
Know what you're signing up for: hands-on product experience, not deep technical education.
hashtag#AI hashtag#MachineLearning hashtag#TechEducation hashtag#DeepLearning

Thoughts?
Exo 2: Growing a Scheduling Language
X sues to block California anti-deepfakes bill
> I guess that must mean “wear” and “weary” have a different pronunciation for “ea”.

Indeed so! "Wear" and "ware" are homophones, having the same vowel sound as "wary".

"Weary", on the other hand, rhymes with "cheery" or "dreary".

> I will never speak this language 100% correctly

I am a middle-aged native speaker, an avid lifelong reader with a love for the language, and I still occasionally discover that I am mispronouncing words I have known for years.
My map of the most frequent occupational surnames in Europe [1] also went viral in 2015. When I posted it on Reddit, newspapers from Ireland (they asked me for permission to reprint it) to Greece (nobody else asked) and countless people on Facebook republished it. Well, everybody has a surname, an occupation, and a country.

Late advice: when making a viral image, put your URL on it :-)

[1] https://marcinciura.wordpress.com/2015/09/17/smiths-millers-...
Standing desks may harm your health, research finds
Of course depends on how long Trump keeps him around. Once X is useless, does he have any use for Musk?

I sense an ego clash coming regardless.
The part I always feel like is missing from the coding interview discussion is:

"Are you testing the candidate on what the job will actually require, and ONLY that?"

With an onsite whiteboarding challenge, you're most likely testing if they're really good at thinking and talking in front of a crowd when extremely nervous, not writing code.

Same with a live coding challenge over zoom (CoderPad style) - this tends to be a test of nerves more than coding ability. But, if you're planning on a lot of pair programming, and want them to be able to dive into that on day one, maybe it's the right way to interview.

I find take-homes often the most accurate way to interview, as it most closely reflects the reality of most coding jobs. You're on your own, you don't have to deal with the extremely odd (and for some of us terrifying) feeling of someone watching you type. Hopefully, the take home questions are carefully designed to reflect what the job requirements will be. As almost every other comment has pointed out, debugging an ancient code base without documentation may be a perfect question, or it may be completely irrelevant and unnecessarily eliminate candidates.

But please, make the interview match the requirements you're actually hiring for, otherwise, everyone's time is being wasted.
Did not find that there was evidence for a "criminal conspiracy". That doesn't mean that these contacts didn't happen.
The article is pure hogwash but apparently Christian propagandists are downvoting anyone who speaks up for factual history.
This is really small scale compared to elsewhere in the world. Is this news because of the climate of Wisconsin being unusual for solar energy?
I don't know how common it is, but this is the first time I had seen an announcement of a large solar installation with bifacial modules. I assume that the bifacial modules are more expensive, but I don't know what goes in to the math to make them worth it or not. Does somewhere snowier get more benefit from the bifacial solar arrays because you can get a lot of albedo from the snow?
I have always thought that car horns should be as loud in the cabin as the front of the car.
Thank You For Making And Sharing :)