MurphyA/hacker-news huggingface dataset:
by Jaauthor | 2025-08-10 19:32:45+00:00
The point of looking beyond the obvious with art is an expression of faith, hope, and joy to the world. ‘My life is more than what I’m experiencing, and so is yours.’ ‘Here’s what I’m experiencing and what I think it means, please tell me what you think.’ Even if we never find the answers, the fact that we can speak the questions makes us feel seen, heard, and loved. Your art can’t do that unless you’re used to looking beyond the obvious.
by ragmodel226 | 2025-08-10 19:32:48+00:00
This is a defeatist and damaging attitude. It detracts from the core issue at hand, which is EU government forcing code being run in private messaging apps over data before it is encrypted. It defeats the security model of end to end encrypted messaging, and leads to a society that cannot trust its communications against government interference ever again.

One can criticize analysis of mass surveillance of metadata and encrypted channels, but this is something else.
by roosgit | 2025-08-10 19:33:58+00:00
# Runs the DB backup script on Thu at 22:00 -- I download the database backup for a few websites that get new data every week. I do this in case my host bans my account.

# Runs the IP change check on Mon - Sun at 09:00, 10:30, 12:00, 20:00 -- If the power goes out or the router reboots I get a new IP. On the server I use fail2ban and if I log into the admin panel I might get banned for making too many requests. So my IP needs to be "blessed".

# Runs Letsencrypt certificate expiry check on Sundays at 11:00 and 18:00 -- I still have a server where I update the certificates by hand.

# Runs the "daily" backup -- Just rsync

# Download Godaddy auction data every day at 19:00 -- I don't actively do this anymore but I used to check, based on certain criteria, for domains that were about to expire.

# Download the sellers.json on the 1st of every month at 19:00 -- I use this to collect data on websites that appear and disappear from the Mediavine and Adthrive sellers.json
by KallDrexx | 2025-08-10 19:34:16+00:00
I'm not the OP and I"m not saying you are wrong, but I am going to point out that the data doesn't necessarily back up significant productivity improvements with LLMs.

In this video (https://www.youtube.com/watch?v=EO3_qN_Ynsk) they present a slide by the company DX that surveyed 38,880 developers across 184 organizations, and found the surveyed developers claiming a 4 hour average time savings per developer per week. So all of these LLM workflows are only making the average developer 10% more productive in a given work week, with a bunch of developers getting less. Few developers are attaining productivity higher than that.

In this video by stanford researchers actively researching productivity using github commit data for private and public repositories (https://www.youtube.com/watch?v=tbDDYKRFjhk) they have a few very important data points in there:

1. There's zero correlation they've found between how productive respondants claim their productivity is and how it's actually measured, meaning people are poor judges of their own productivity numbers. This does refute the claims on the previous point I made but only if you assume people are wildly more productive then they claim on average.

2. They have been able to measure actual increase in rework and refactoring commits in the repositories measured as AI tools become more in use in those organizations. So even with being able to ship things faster, they are observing increase number of pull requests that need to fix those previous pushes.

3. They have measured that greenfield low complexity systems have pretty good measurements for productivity gains, but once you get more towards higher complexity systems or brownfield systems they start to measure much lower productivity gains, and even negative productivity with AI tools.

This goes hand in hand with this research paper: https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o... which had experienced devs in significant long term projects lose productivity when using AI tools, but also completely thought the AI tools were making them even more productivity.

Yes, all of these studies have their flaws and nitpicks we can go over that I'm not interested in rehashing. However, there's a lot more data and studies that show AI having very marginal productivity boost compared to what people claim than vice versa. I'm legitimately interested in other studies that can show significant productivity gains in brownfield projects.
by Lammy | 2025-08-10 19:34:31+00:00
> Maybe I'm missing something here but I'd guess that data is encrypted and not a free for all of open data that any old ISP could snoop on.

Yes, you are missing the entire point. You are talking about data. I am talking about metadata — data about data. The contents of each log request are a total red herring. Just pretend that the encrypted log messages are a single bit, just a way to increase a counter that “something has happened” on a person's Tailnet.

The encrypted log message structure does tell Tailscale “this particular machine on the Tailnet talked to this other particular machine on the Tailnet at this time”, and one should assume Tailscale decrypt and interpret those details, but what I'm talking about is the ability for any part of the network path to interpret those log connections without decrypting them as “somebody is using their Tailnet right now in any capacity”, and when, and from where, and the ability to combine that new class of metadata with all the other metadata our modern OSes are constantly generating.

> Do they aggregate and then send it at regular intervals, etc?

This is already addressed in my original comment. Again, see KB1011: https://tailscale.com/kb/1011/log-mesh-traffic

“Each Tailscale agent in your distributed network streams its logs to a central log server (at log.tailscale.com). This includes real-time events for open and close events for every inter-machine connection (TCP or UDP) on your network.”

“This includes real-time events for open and close events for every inter-machine connection (TCP or UDP) on your network.”

“real-time events”!!

e: Recommended reading:

- https://kieranhealy.org/blog/archives/2013/06/09/using-metad...

- https://abcnews.go.com/blogs/headlines/2014/05/ex-nsa-chief-...
Show HN: I analyzed why my post got 0 votes and built this
by fwystup | 2025-08-10 19:35:18+00:00
Maybe you've had this experience too: You build something you're proud of, post it on HN with your low-karma account, and... crickets. Zero votes, zero comments. That's what happened to me last Monday. I posted my coding tool (XaresAICoder - an open-source browser IDE) that I'd built with AI assistance. In my mind it was revolutionary. On HN? Completely ignored. Then I wondered: How many other potentially great projects suffer the same fate? What "hidden gems" are we missing because they come from low-karma accounts? So I built hn-gems (with help from Claude and my own XaresAICoder). It works in two stages:

Continuous scanning: Analyzes all new HN posts from accounts with <100 karma, scoring them for technical merit, originality, and problem-solving value AI curation: Every 12 hours, an LLM deep-dives into the top 10 candidates, checking GitHub repos, documentation quality, and actual utility

The result is what you see at the link - a curated list of overlooked quality posts that deserve more attention. The interesting part: I barely wrote any criteria. I just told Claude "open source good, pure commercial bad, working demos good" and let it figure out the scoring. The AI assessment varies slightly each run, which actually makes it more interesting. GitHub: https://github.com/DG1001/hn-gems

Is this useful? Do you have ideas how to improve this tool if necessary?

(And yes, my XaresAICoder that got 0 votes? The AI thinks it's actually pretty good. I'll take that as a win.)
by rolph | 2025-08-10 19:35:23+00:00
Intrinsically disordered proteins

https://en.wikipedia.org/wiki/Intrinsically_disordered_prote...

Also worth consideration while pondering this class of protien:

Biomolecular condensate

https://en.wikipedia.org/wiki/Biomolecular_condensate

Heat shock protein

https://en.wikipedia.org/wiki/Heat_shock_protein
by whitehexagon | 2025-08-10 19:35:24+00:00
I think Kotlin solves it quite nicely with the trimIndent. I seem to recall Golang was my fav, and Java my least, although I think Java also finally added support for a clean text block.

Makes cut 'n' paste embedded shader code, assembly, javascript so much easier to add, and more readable imo. For something like a regular expressions I really liked Golang's back tick 'raw string' syntax.

In Zig I find myself doing an @embedFile to avoid the '\\' pollution.
by amarcheschi | 2025-08-10 19:35:25+00:00
If it hasn't been changed, not only politicians but law enforcement officers too would be exempt

This is one of the many abuses by Leo(s), part why I don't love and trust police in italy: https://it.m.wikipedia.org/wiki/Fatti_del_G8_di_Genova#p-lan...

I thought there was an English Wikipedia page but there isn't, translate it
by to11mtm | 2025-08-10 19:35:47+00:00
> That would require twice the number of pins

Fair, I'll admit I wrote this after a very long work day and forgot to refresh myself on what a DIMM's pinout was actually like.

That said, Maybe instead of a DIMM it would be better to switch to a PGA or even LGA?

> and traces on each DIMM

Well, Traces are a problem regardless, at the same time it seems that Apple has managed to solve the problem by going to surface mounted chips. That said maybe(?) something like a PGA or LGA would allow for traces to be more clustered in making it a little easier to handle trace length differences...

> I don't think the tradeoffs are worth it to increase system memory bandwidth on consumer systems.

Well, I'd assume that for consumer systems you'd just have one 'channel', since at that point it's 128 bit and the equivalent of dual channel DDR5.

> CPU packages are strained as it is

Apple has managed to provide some fairly wide options in the M series though, so what are they doing that the others are not (aside from that they are effectively using more but smaller channels)?
by mlnomadpy | 2025-08-10 19:36:21+00:00
basicly the real "non-linearity" in deep learning have always been the orthogonality, squashing functions make it easy for the neurons to tap into the orthogonality, while most of the activation functions "lie" about their orthogonality by setting the dot product score to "0", and a dot product of 0 between two vectors means they are orthogonal (linear indep)

what i did was rely on both the angular information and spatial information between the input x and the weight w to measure how "similar" they are.

the lower bound of the yat-product is 0, and it is achieved only when two vectors are orthogonal and away
by thisislife2 | 2025-08-10 19:36:25+00:00
That "peak prosperity" thing is actually capitalism gone awry in my opinion. I'd include India too here - a common pattern that can be seen in all these three Asian countries is the unhealthy work-life balance. Couple that with the world-wide trend that two incomes are now necessary to raise kids in many of these "fast" growing or economically "prosperous" countries, most people are just choosing to have only 1 (or at most 2 kids), and there are some who are also opting not to have any kids. In India, the opposition leader has also lamented that we have already lost advantage of having a younger population because of poor economic planning and policies (by 2030, India will have the world’s largest youth population). Trump won, in large part, because many Americans are now struggling to feel secure with the wages that they earn - they can't afford to buy a house, which many feel is required to start a family. A course correction is required in the world economy, as, while capitalism-consumerism does seem to provide prosperity, it also seems to be consuming societies that adopts it.
by WalterBright | 2025-08-10 19:36:27+00:00
> Why is omitting the fact that T is a type useful?

It's the default, because most templates are templated on types. If you want a constant int as part of the template type,

ArrayListType(int I)

> This reminds me of C in the 1970s where the compiler assumed every typo was a new variable of type int

I think you're referring to function declarations without prototypes. D's syntax does not suffer from that issue.

BTW,

T func(T)(T x) { return x + 1; }

is a declaration of a "function template". The first parameter list consists of the template parameters, and are compile time types and constants. The second parameter list is the conventional function parameter list. If the first parameter list is omitted, then it's a function.
by derektank | 2025-08-10 19:36:45+00:00
South Korea's birth rate is 0.7, which means for every 100 grandparents there will be only 12 grandchildren if things don't change. At the current pace, the South Korean population will be 32 million in 2075 and 11 million in 2125, and most of the people alive will be old. That's nearly as massive a change in the opposite direction as the drop in childhood mortality in the 20th century.
by refulgentis | 2025-08-10 19:38:18+00:00
It sounds like you're suggesting woman's rights caused South Korea's military to shrink 20%, and thus it is desirable to not give woman rights, lest it cause men to choose not to join the army, and thus it is desirable to roll back woman having rights, as it could cause men to not join the army and its no biggie anyway, its not in their constitution that woman have rights.

Am I reading it right?
by wertoz777 | 2025-08-10 19:38:38+00:00
Most AI safety approaches today focus on strict control and limiting autonomy. This project explores an alternative: guiding AI growth through embedded values, positive reinforcement, and structured conflict resolution.

What’s inside: - Ethical core values integrated into AI decision-making - Feedback loops that reinforce cooperative behavior - Conflict resolution between AI and human goals - Minimal collaborative API for joint problem-solving - Toy training loop with value embedding - Mini human–AI interaction simulation (RLHF style)

Goals: - Reduce long-term risks of adversarial AI - Encourage innovation through cooperation - Align AI with human values without suppressing unique potential

Looking for feedback on: 1) Technical feasibility of the proposed architecture 2) Benchmarks or testbeds for such an approach 3) Ways to scale the "nurturing" concept beyond toy demos

GitHub: https://github.com/Wertoz777/educable-ai Manifest: https://github.com/Wertoz777/educable-ai/blob/main/manifest/... Technical framework: https://github.com/Wertoz777/educable-ai/blob/main/technical... Code examples: https://github.com/Wertoz777/educable-ai/tree/main/technical...
by mikewarot | 2025-08-10 19:39:33+00:00
If you wanted something equivalent to usenet to come back, you'd have to solve the moderation problem across a number of incompatible governance frameworks, which can not be done in a single hierarchy, no matter how hard you try.

Having multiple moderators of content, and multiple dimensions of moderation (think tags with attached scalar multipliers) could possibly work. Each host of the feed could then just not store anything that fails to pass as legal in their jurisdiction, or fails to meet their moderation policies.

Regardless of its arrangement, any large cooperative collection of stuff, albeit in a feed like usenet, or forums, or a files store, multidimensional ranking/moderating/reputation management is the way to go, IMHO.
by KennyBlanken | 2025-08-10 19:39:49+00:00
cough Patriot Act cough

...which Republicans swore up and down was temporary and yet, oddly, kept getting renewed wirth no evidence whatsoever it was necessary to stop a planned terrorist attack or that it would have stopped the WTC attacks themselves.

I bet 90% of the population or more has no idea that the Patriot Act was dumped and replaced with the nearly identical FREEDOM Act. Which took multiple tries to pass because they knew if they just kept hammering away, they'd eventually get it passed.

Yeah, they called a wildly invasive domestic spying bill the "freedom" act....
by pulvinar | 2025-08-10 19:39:51+00:00
I could swear my MacBook Air M3 was limiting at 80% charge before, but now it's at 100%. I suspect that the latest OS update, 15.6, disabled or removed whatever was limiting it, but I don't remember what that was.

It doesn't look like I had installed this "battery" command. It might have been AlDente, but I don't find that anywhere either.

A puzzler.
by Sardtok | 2025-08-10 19:40:02+00:00
It's kind of funny that in Norwegian, people mix up the infinitive "to" and "and", as they are pronounced the same, "o" in IPA. So we have the same thing in Norwegian writing, but if you happen to use "and", you must use the imperative form of the verb for it to be grammatically correct. So, "try to stop me" is "prøv å stoppe meg", and "try and stop me" is "prøv og stopp meg". The latter is much more colloquial.

This isn't a problem in Swedish and Danish, as their infinitive marker is "att/at", which in Norwegian only means "that" in its conjunctive form.

I wonder if there's any relation to the Norwegian here.
by lordnacho | 2025-08-10 19:40:03+00:00
Can't make this shit up.

The Danish government (currently holding the rotating chair) also raised the pension age for everyone. Other than themselves.

But also, how does this get implemented? What's stopping me from using, say, Signal, which being OSS would likely have a single line I could comment out and compile for myself?

How would I get busted for that? Or I could get clever and have AI generate some random chat text to send to the government while I send the actual text to my friends?
by Barrin92 | 2025-08-10 19:40:07+00:00
>Closer than to the US?

Much closer. It's a unitary state with a monarchy and parliamentary sovereignty, it's highly centralized economically and culturally. It's more European than much of Europe. Post war Germany, republican and decentralized economically is structurally more like the US than Britain. The only reason people in the US tend to identify with Britain is Anglo-Protestant identitarianism.

Britain in reality operates a lot like France or Russia, an overwhelmingly strong capital and grand historical old world nationalism with relatively weak constitutional or formal limits on government.
by pessimizer | 2025-08-10 19:40:16+00:00
> The EU countries also have constitutions with laws that make that illegal.

I don't think they do. They have constitutions that guarantee "Freedom of Speech" or "Expression," but don't define those terms in any way. I don't know that any of them lack legally prohibited political speech laws.

I feel the US was the origin of this "Hate Speech" nightmare that has been growing to encompass all of Western politics over the past 30 years, but the irony is that you can do slurs all day long in the US, to anybody you want, whenever you want. You will probably be ejected from the premises, though. In the US, the speech still has to be connected to a crime. In the EU, the speech itself is the crime.
by eli_gottlieb | 2025-08-10 19:40:20+00:00
>I think that's really begging one of the important questions here. _Is_ the system fair now?

Define "fair" for a system designed not only to filter an elite out of the rest of society, but in fact to have that elite's size remain detached from larger demographic trends. Is it fair for Zoomers to have an easier time in college admissions than Millennials, while being subject to what are supposedly stronger DEI measures?

What, in fact, do we think this system ought to be aiming for, and how is that fair?

For the moment it seems to me that the system is arbitrary and we're being fooled, in a way, into imposing conceptions of fairness and/or merit onto it that it really aimed at and which always served more as happy-face masks for the arbitrary organizational shoggoth underneath.
by peanut_merchant | 2025-08-10 19:40:29+00:00
I get that maybe you meant culturally, but Ireland is a member of the EU whereas the UK is no longer. This forces a tighter alignment so makes your point about Ireland redundant.

The UK has continuously been pulled between it's dying imperialist vision of itself as a world power, it's close but conflicted ties with the US, and it's similarly close and conflicted ties with the EU.
by mlnomadpy | 2025-08-10 19:40:31+00:00
that's a great point you made, but the goal of this research paper is not to improve the performance, but to show that you can train deep neural networks without the need of activation functions, normalization layers, deep neural networks.

one simple usecase for them is physics-informed neural networks and neural ODEs, where using activation functions is discouraged, mainly because they aren't infinitly differentiable, and they use the tanh or the sin most of the time, this kernel i introduced works better then the neurons followed with a tanh to solve different PDEs
by godelski | 2025-08-10 19:41:22+00:00
> as that model was showing epoch over epoch improvements

Both of them were showing improvements. I agree with you that I'd like to see more, but I'm not sure more would significantly change the argument (which is a lot about how metrics aren't straight forward). Especially since the 96B token experiment shows.

IN FACT, those results are so similar I had to open them up in GIMP to align and spot the differences. Now I'm actually not convinced there wasn't a mistake. There are differences, just very minor. Harder to tell with the AR model because scale, but in the diffusion you can see a little bump in the second one right before the concavity change at the end. There some more bumps in the AR model earlier on that help show differences too, but the fact that the envelopes are nearly identical is... suspicious. I'm not claiming maliciousness because even if a mistake these things are so easy to make that they are common. I'm not even convinced there is a mistake, but it warrants extra thinking.

That said, money is finite and these are quite computationally heavy. Author looks to be a research fellow and so I'm assuming not backed by big tech.
by BriggyDwiggs42 | 2025-08-10 19:41:28+00:00
There’s definitely an element of that, being too used to a very impressive technology so coming off entitled. There’s also the other side though, which is that LLM-based AI has been sort of positioned as and portrayed as a technology which will drive an utter transformation in the near future, and with gpt 5 many people are having the realization forced on them that it was all sorta nonsense, lies, motivated reasoning, exaggeration, etc.