skysight-inc/HackerNews huggingface dataset:
what about accessibility, someone who can't shuffle or has bad dexterity...

too much negativity in this thread!

if you have nothing nice to say just don't say anything at all.
https://www.nature.com/articles/s41586-024-08404-x
Sure, but what worldview is his thinking rooted in.

I can write about Kant's ideas in 2025, but it doesn't make them new ideas.

Did he evolve his views past where he was in the mid-century era?

Does thinking from the late 1990s really apply well to the world we live in today?
> - %CSIDL_MYDOCUMENTS%\Call of Duty -> %userprofile%\Saved Games\Call of Duty

That is a fight not worth fighting. Even Microsoft does not give a care in the world when deciding on storage locations and they put files directly in your %USERPROFILE% folder. Often also naming them like Linux/Unix dotfiles. I have opened tickets, pointing them to Microsoft documentation clearly stating that this is not how it should be, but they just don't care.

Still, it is infuriating seeing so much willful ignorance, when choosing the correct location is a decision just as quick as choosing the wrong location.
All Jonathan Blow talks, or rants more accurately, are the same. He personifies old man yells at cloud.
Smuggling arbitrary data through an emoji
It really shouldn't be a surprise given that it took until 2022 to implement one of the basic features that everybody relies on constantly.
For somebody who cares about software why are you advertising for disqus comments? Link in bio to a public domain commenting system forn static sites.
I don’t disagree. But if you want to work as an artisan you don’t work at a factory. Similarly, you can’t expect the products coming out of a factory to be at the artisan level.

What is it about software that causes us to search for aesthetic qualities in the instructions we write for a machine? Ultimately the problems we’re solving, for most of us, will be utterly meaningless or obsolete in ten years at most.
Commenter is merely saying that LLMs indeed are able to approximate arbitrary functions exemplified through sorting.

It is nothing new and has been well established in the literature since the 90s.

The shared article really is not worth the read and mostly uncovers an author who does not know what he write about.
Here's Apple documenting the end-to-end encryption scheme for retrieving Push Notifications: https://developer.apple.com/documentation/usernotifications/...

Here's Apple admitting that they just bugged the Push Notification server so the NSA could read them without MITMing anything: https://arstechnica.com/tech-policy/2023/12/apple-admits-to-...

Suffice to say, they don't even have to backdoor the encryption to give the UK what they want. iOS users are like fish in a barrel, if you force some insecure paradigm on them they can either adopt it or leave.
Have you considered that the nature of numeric characters is just so predictable that they can be sorted without actually understanding their numerical value?
I did something like this but it helps you build exact command lines or interact with AWS straight from your GitHub markdown. As a bonus, it very easily lets you prompt the user for inputs and pivot between different accounts. https://speedrun.cc
The evolution from LLM to Reasoning is simply multi pass or recursive questioning.

What’s missing in the terminology is the modality- most often TEXT.

So really we on have Test LLM or Text Reasoning models at the moment.

Your example illustrates the benefits of Multi Modal Reasoning (using multiple modality with multi pass)

Good news - this is coming (I’m working on it).
Bad news this massively increases the compute as each pass now has to interact with each modality. Unless the LLM is fully multi modal (Some are) - this now forces the multipass questions to accommodate. The number of extra possible paths massively increases. Hopefully we stumble across a nice solution. But the level of complexity massively increases with each additional modality (text,audio,images, video etc)
I was able to read the whole article from the link provided. (I did click the accept terms button) - Luckily I do not plan to have more children-
I remember going to a psychiatrist for the first time when I was around 30 and I told him "well there is fun code and unfun code". I was explaining how I hated my job at the time I had to write unfun code all day long but my side projects, that was fun code.

He looked at me like I was literally a crazy person and said, "Ok, explain more what you mean by un-fun code..."

At the time I sighed and thought oh geeze, this is so painfully obvious how do I even explain the difference. BUT looking back now, nope. He was right. That is crazy. It's all just code. The people and your attitude make all the difference.

Before enlightenment: write code, fix bugs. After enlightenment: write code, fix bugs.
+1 to this analysis. Urban ratepayers in CA subsidize rural and fire-prone ratepayers. (Utility rates are a stealth tax. Same story as home insurance.) The fight is ultimately political and not as one-sided as you might think. The broad regulator and politician view is that the subsidies are valid, and if the cities all leave the grid, the subsidies will wind up on the state's balance sheet. Nobody wants to see rural de-electrification. Utilities have a lot of sway with politicians for corrupt and non-corrupt reasons.
The article is surprisingly inconclusive. From my understanding, the easiest way is to use the <video> tag with mp4.
AlphaGo also doesn't reason. That doesn't mean it can't do things that humans do by reasoning. It doesn't make sense to make these comparisons. It's like saying that planes don't really fly because they aren't flapping their wings.

Edit: Don't conflate mechanisms with capabilities.
> Google has butchered Assistant since the advent of LLMs. My Google Home devices have lost basically all of their functionality

I’ve seen this said a few times lately, yet I’ve not really seen much of an explanation of exactly how it’s regressed.

Maybe it’s just a difference in how we use ours, but it still has worked the same as it always has.

Out uses are fairly basic, but I’m not sure how much more complex it needs to be:

- tell us the current/forecasted weather

- pick random numbers/flip a coin (playing board games)

- ask it for information about X

- play music on Spotify

- carry out actions in our home devices

All of these have always worked, and continue to work just fine. For from “lost all of their functionality” (this feels exaggerated).

Can you/others go into more details on how Google Home has become broken lately?
And a bowl of M&Ms, with all the brown ones taken out - to make sure they did read this far.
This again gets back to the main point which you keep misrepresenting. This has nothing to do with a thick skin, this is a core subsystem maintainer outright saying they won't support R4L, which means its dead.
In what way is your mathematical talent truly you, but a python tool called by an LLM-centric agent not truly that agent?
Seems it's early days yet.

> I’m happy to report that I’ve already managed to execute code on the microcontroller

But i will be making a dedicated post specifically about the firmware development process.
It was most likely a Serve Robotics delivery robot, which are often seen around Santa Monica: https://www.youtube.com/watch?v=i6DyG80ivM0
Five winter storms could deliver more snow than the last two winters combined
On the one hand, this is very human behaviour, both literally and in general.

Literally, because this is why the Datasaurus dozen was created: https://en.wikipedia.org/wiki/Datasaurus_dozen

Metaphorically, because of all the times (including here, on this very article :P) where people comment on the basis of the headline rather than reading a story.

On the other hand, this isn't the bit of human cognition we should be trying to automate, it's the bit we should be using AI to overcome.
Google Maps changed the way we get around. It all began in a bedroom in Sydney
TLDR: some scammers impersonating the difense minister got 1 or more entrepeneurs to send them big payments quickly. The public discourse is around the "normalcy" of private entrepeneurs about sending money to elected officials
That's a feature. Permanent systemization of short term worldviews and lenses is pretty horrifying. That's how those techno-theocratic civilizations in pop culture happen.

Imagine if a company had been able to systemize the whims of a paranoid regime, allowing them to track and spy on their citizens with impunity in secret, and the population became so inured to the idea that it became an accepted facet of their culture.

Or what if a political party dominated a state and systematized a way to identify and detect oppositional thought, stamping it out before a counterculture could ever arise. Maybe that thought was tied to a particular religious, ethnic, and/or cultural group.

What if these companies are here today, selling those products to the highest (nation-state) bidders, and the methods they're employing to keep the conceptual wheels turning at scale rely on filtering that selects for candidates who will gladly jump through abstract hoops set before them, concerned only with the how and never the why of what they're doing.
> ...the new Gemini "replacement" is still by all accounts a disaster

Small nit: the initial rollout of Gemini was a dumpster fire. It is now quite good. For my use cases, I can't get any other current LLM to give me better results than Gemini 2.0 Flash. It's also free

But even that kind of proves your point, right? Pretend you 100% believe me without verifying. That means in a year or two the winner has transferred between ~3 companies. This is not a cheap mantle to keep passing around. The AI wars are going to get heated over the next year or two
Sobek: ECMAScript 5.1(+) Implementation in Go
20 hours ago, 12 points: https://news.ycombinator.com/item?id=42978758
Perhaps the reason they didn't see many C++ coders is because of this?
People want things to be easy. I feel like there is a startup opportunity here to manage peoples connections to more federated services. Give them an easy 1 place to log into Bluesky, Mastodon, Pixelfed, etc if you want me to get off of Twitter and Instagram.
Sure. I'm just explaining why the term exists. Of course it is often applied by clueless managers, there's nothing you can do about that except go find a better manager. Just don't make the mistake of thinking its all bullshit because you've only dealt with muppets on the leadership side—I see this often with journeyman engineers who have never had the privilege of a good management team and it's very sad.
offtopic question from main thread. is Perplexity Pro subscription better than chatGPT one for queries mainly around daily programming questions?
Though it's not the only way to create legacy systems. Sometimes they are of sound design which deteriorates over time. Or the requirements shifted such that the design is no longer adequate. Or as the article mentions, rewrites for no good reason.

When I do a git blame of something coherent, that worked well in production, that I wrote years ago, almost none of my original code survived, every line is now written by a different person. That's the entropy of software systems left unchecked. It was not really rushed, there was a ton of time debating design before a single line was written.
> attributing everything you can’t explain to “seasonality”

Is this a literal thing or figurative thing? Because it should be very easy to see the seasons if you have a few years of data.

I just attribute all the data I don't like to noise :-)
Shameless plug: write your program in C, get almost as little size overhead as in the Whirlwind turorial: https://github.com/pts/minilibc686 (libc, compiler, linker, settings)
Great work. This actually could have a practical use. I'm seriously impressed.
That was the point. If I had meant London, I would have used it.
Auto-Rewind for Daily Test (Apache NuttX RTOS)
> But keeping skilled people is something that modern management philosophy (in tech, at least) doesn't seem to care about.

If they would care then job hopping would not exist. If staying at s company would be more. Beneficial to your salary, why would you ever want to change company, if you are otherwise happy?
Previous post with comment by author, https://news.ycombinator.com/item?id=42930660
Custom feed builder Graze is building a business on Bluesky
You mean Amazon probably routes his Alexa to 10 people to process.
A near miss means your processes need work. If you have any sort of reliable process, actual misses should be vanishingly rare and you'll need to look at proxies anyway to monitor for improvement, so why not use the best one available?
Sad to see this. Posted on their instagram: https://www.instagram.com/p/C8IHZXYvh8y/?img_index=1

With deep sorrow, the Mukerji family announces the passing of Meenakshi Mukerji on June 11, 2024. Meenakshi fought very hard and bravely against stage 4 lung cancer for nearly 5 years, and she passed peacefully surrounded by close family and so much love.

Meenakshi was born and raised in Kolkata, India. She obtained her BS in electrical engineering from the prestigious Indian Institute of Technology Kharagpur, and a MS in computer science from Portland State University, Oregon. After working in the software industry for more than a decade, Meenakshi dedicated her time to her family, her community, travel, and to the arts. She authored many origami books and spread her love and passion for the craft across the world.

Meenakshi was a beloved daughter, sister, mother, wife, and friend. Her strength, creativity, positivity, and love will continue to inspire and touch the lives of those who knew her, and also those who didn’t.
What you refer to as the article’s conclusion is in fact the article’s title. The article’s conclusion (under “Thoughts” at the end) may be well summarized by its first sentence: “As the idea of using LLMs/agents to perform different scientific and technical tasks becomes more mainstream, it will be important to understand their strengths and weaknesses.”

The conclusion is quite reasonable and the article was IMO well written. It shares details of an experiment and then provides a thoughtful analysis. I don’t believe the analysis is overly broad.
I'm sorry you had a bad experience with someone, but at least you know who wasn't doing their job. On the kernel side, you don't.
> But there isn’t any mechanism inherent in large language models (LLMs) that would seem to enable this

Stopped reading here. What is the mechanism in humans that enables intelligence? You don't know? Didn't think so. So how do you know LLMs don't have the required mechanism?
Deepseek VL2 Small
I flag it mostly because a single topic and an insane number of dupes are flooding my feed, making it basically useless. I want to see much less of the off-topic spam; flagging is the only effective way to signal that. So yes, it pushes "a button I don't like." I'm getting tired of explaining this simple thing.
I think a lot of software engineers have been in denial that we have been working in factories as a lot of the ZIRP-era technical structures were constructed in such a way to make it seem like we were part of guilds. The average company cares about craft only insomuch as it feeds enough product reliability and productivity.

That illusion has been lifted a little harshly for a lot of people over the past year or so. I still enjoy software-as-craft but I don't hold any false belief that my day job does.
1. No

2. Aerospace has significant performance issues with workspaces. The problem has persisted for over a year, and there are no plans to fix it. That's why I started building FlashSpace - to make it blazingly fast. Which limitation is especially interesting to you? FlashSpace addresses the animation lag, the number of workspaces is unlimited, and you can move apps between workspaces with hot keys.

3. FlashSpace already supports JSON config files which are stored by default in ~/.config/flashspace, so you can easily sync them.
> Has its own JRE bundled, and uses that one if you don't have any JRE installed.

> Starts in 5 seconds, uses ~600MB of RAM (less than VSCode!), and works very snappy.

> The trick is, it didn't get bloated or heavier over the years, the contrary,

...and you're mentioning these features as points in Eclipse's favour ... when comparing it to vim?!?!?

I think you forgot the "/s"
"The email patch usually gets dealt with within a week or two" is absolutely not my experience dealing with the kernel.

Firefox and Chromium's bespoke tools have their pluses and minuses but they're a lot easier to deal with that the kernel "workflow".
It seems to be that they’re doubling down on Anthropic/AI for commercial use, at least anecdotally from my friends at AWS. Not sure what Amazon proper is looking to do with it in the consumer space, or if it’ll have any real impact.
A large number of commenters are under the illusion that LLMs are "just" stochastic parrots and can't generalise to inputs not seen in their training data. He was proving that that isn't the case.
Sad to hear her passing. RIP
I finally tried this an about a year so after it was first posted.

Due to bugs in our toolchain we had a run book for hot fixes that was about twice as complicated as the normal release process.

I never got the credit it deserved but it went from people only using it for sev 1 issues and “last mile” work in epics that were winding up, say once every ten weeks, to using it on average once a week and a couple times 3 in one week. We were able to dig a lot deeper into tech debt because not every single thing had to be a feature toggle.

If you’re at a small company where cloning prod data into preprod is easy, you won’t see this sort of result. But I counted over 150 endpoints we talked to and I believe that averaged 3 per service. So that’s a lot of datasets, and some of them ingested in a Kafka-before-Kafka-existed sort of manner. We had only one guy who would even try to clone prod data, he only had the time (and really energy) to do it once or twice a year, and that was much slower than our customers and features morphed. So it was down to fiddling with the blue-green deployment process and jmeter to figure out if we were close and how to measure success/failure before we went live.

And in the end it was the fiddly error-prone build process that stymied people until I half-automated it.

Later on as we ramped up its use I hunted down all of the URLs for the manual steps and put them in a lookup table in the tool, and ended up exposing them for the normal validation process we did for release sign off as well. Which made that process a little faster and less stressful for the coordinator (that process was annoying enough that we round robined it through three separate teams to share the load)
I had mine setup to turn the lights off when I said 'lights out'. Now when I say 'lights out' it tells me that 'Lights Out' is a 2016 movie.
Why Do Bees Make Hexagons and How Is It Related to Neuroscience
Just imagining an episode of Star Trek where the inhabitants of a planet have been failing to progress in warp drive tech for several generations. The team beams down to discover that society's tech stopped progressing when they became addicted to pentesting their LLM for intelligence, only to then immediately patch the LLM in order to pass each particular pentest that it failed.

Now the society's time and energy has shifted from general scientific progress to gaining expertise in the growing patchset used to rationalize the theory that the LLM possesses intelligence.

The plot would turn when Picard tries to wrest a phasor from a rogue non-believer trying to assassinate the Queen, and the phasor accidentally fires and ends up frying the entire LLM patchset.

Mr. Data tries to reassure the planet's forlorn inhabitants, as they are convinced they'll never be able to build the warp drive now that the LLM patchset is gone. But when he asks them why their prototypes never worked in the first place, one by one the inhabitants begin to speculate and argue about the problems with their warp drive's design and build.

The episode ends with Data apologizing to Picard since he seems to have started a conflict among the inhabitants. However, Picard points Mr. Data to one of the engineers drawing out a rocket test on a whiteboard. He then thanks him for potentially spurring on the planet's next scientific revolution.

Fin
The situation was a bit more complex: the "minister" asks help to transfer some money in an Hong Kong bank account to release some Italians detained somewhere. Also logos of Bank of Italy was used.

It was a really well architect fraud.
What year are we talking about here?

Circa 1982 or so (and some years before) IBM was shipping mainframe software written in Assembly that anyone could build or modify. They had a bug database that customers could access. Around the same era Unix was shipping with source code and all the tooling you needed to build the software and the OS itself.

So maybe compared to some of that we're doing worse.
> Shutting down all computers well before that and just spending hours relaxing

Yea, I've sometimes do it this. I have had mixed success with it. The opposite of it though is definitely detrimental. It's still nice to be able to just relax for other reasons though such as less of a focus on (social) media
Lost me here - “LLMs are not brains and do not meaningfully share any of the mechanisms that animals or people use to reason or think.“

“the initial stages a completely new kind of mind, based on completely unknown principles, using completely unknown processes that have no parallel in the biological world.”

We just call it a neural network because we wanted to confuse biology with math for the hell of it?

“There is no reason to believe that it thinks or reasons—indeed, every AI researcher and vendor to date has repeatedly emphasised that these models don’t think.”

I mean just look at the Nobel Prize winners for counter examples to all of this https://www.cnn.com/2024/10/08/science/nobel-prize-physics-h...

I don’t understand the denialism behind replicating minds and thoughts with technology - that had been the entire point from the start.
EdTech 2.0 - Feedback Pls
Hey Folks, I have penned down my thoughts on EdTech 2.0. This is an idea, I am exploring pursuing as my next entrepreneurial venture.

I would appreciate feedback and suggestions.

Link - https://open.substack.com/pub/monkeylike/p/edtech-20

Thanks in advance.
Utterly unrelated to Knuth, and probably not useful for picking DNS servers because of their more static nature, but you might enjoy Ceph's CRUSH load distribution algorithm. Very rough gist: you can use it to e.g. set policy to avoid two replicas in the same rack, and ensure third replica goes on a different floor. And you can express server overload to migrate data off of one gradually, etc. Ceph uses that, with servers gossiping about failures & overload, to have clients directly contact the right servers.

https://ceph.io/assets/pdfs/weil-crush-sc06.pdf

(Disclaimer: Ex-employee. It's all open source.)
Agreed, parity is a strong constraint. Since the premise under discussion was “production” environments where some kind of parity is presumably required, I think it’s a reasonable assumption. If there is no baseline and it’s not a production situation where parity is needed, then yeah scope can and should be constrained as much as possible. I like the phrase “otherworldly simple”, I might borrow that!
For the moment./s
This would mean businesses are not permitted to deliver goods that do not (secretly!) surveil us. A car manufacturer forced to install hidden microphones in all its vehicles, or a construction company required to plant spy cameras in all apartments it sells. It makes it a crime to not be a government snitch.

But this is on a computer, so it's okay.