MurphyA/hacker-news huggingface dataset:
by wahnfrieden | 2025-10-09 19:07:03+00:00
Sure, it's a fine place to start

You might also try A Mountain to the North, a Lake to the South, Paths to the West, a River to the East as a very short one of his later works

Wow I just found out that I have quite a valuable collection of his works - the surprisingly expensive ones that I had casually picked up when they were new:

- The Last Wolf 1st edition, $300

- Satantango 1st edition, $200

- Music & Literature No. 2, unknown value (no record of secondary market resale)

- AnimalInside, $300, only 2000 copies published

Time to encase these in something...
by toast0 | 2025-10-09 19:07:17+00:00
I lost some money, or at least had a hard time using it, because I was quoted a price for something, set the FSA for the next year based on that, and then the billing ended up where only some of the price was eligible for FSA.

Combined with the PITA level, there's no way I'm doing it again. I can't see how it's worth my time. One of these three options is very likely:

a) my income level is low, so every dollar counts, but my marginal tax rate is also low, so spending a ton of extra time on this is not worth saving ~ 15% on taxes for health care

b) my income level is high, so my marginal tax rate is high, but saving 40% of taxes for health care is not worth the time, because health care is not a meaningful amount of income

c) my health care spending is high relative to income, and I can deduct health care costs on my tax return. Then I can deduct a lot more than the FSA will reimburse for, and the records don't need to satisfy a third party, unless I'm audited by the IRS.
Dollar General's 19,000 Stores Could Solve Rural America's Internet Problem
by maysjack | 2025-10-09 19:07:18+00:00
White paper exploring rural edge compute via retail infrastructure. Feedback welcome # The DG Edge Fabric: A Distributed Rural Compute Network for the Next Decade

## 1. Executive Summary

The DG Edge Fabric proposes transforming selected Dollar General (DG) retail locations into secure, distributed edge computing nodes. By leveraging existing real estate and infrastructure, this model enables a scalable, low-latency compute network spanning rural and underserved regions across the United States. Each node integrates a sealed micro-data-center rack within a secure cage, delivering localized processing power for IoT, AI inference, and CDN caching. This approach reduces bandwidth dependency, minimizes latency, and opens new revenue opportunities for DG and partners.

*Visual:* U.S. map overlaying DG store density and proposed Gold Site distribution.

---

## 2. Context and Problem

Traditional cloud infrastructure concentrates compute capacity in urban data centers, leaving rural regions underserved. The result is high latency, limited bandwidth, and exclusion from AI-driven economic growth. Building new rural data centers is capital-intensive and slow. However, Dollar General's footprint—over 19,000 stores—represents an unmatched, pre-built logistics and power grid across the country.

The challenge: how to convert selective DG locations into reliable micro-edge data hubs capable of delivering enterprise-grade uptime, environmental stability, and security at low operational cost.

*Visual:* Comparative maps—U.S. data centers vs. DG store distribution; optional “Before & After” visual highlighting the rural digital divide.

so much more but limited to 4000 characters
by whatevertrevor | 2025-10-09 19:07:29+00:00
I think I'm fine with that tradeoff between effectiveness of age gating vs privacy gains of not having IDs sent over to corporations. To me, identity theft by targeting large stores of government IDs, is orders of magnitude worse than a teenager accessing NSFW channels every now and then.

I'm not defending age verification's existence in the first place btw, I don't think it's a good idea without secure protocols of central attestation for such things. But of course, governments aren't interested in solving the harder more valuable problem, they're interested in shifting the responsibility to corporations while crying foul.
by ctoth | 2025-10-09 19:07:55+00:00
AWS account root access on a language package registry for 11 days. Not EC2 root - AWS account root. Complete control over IAM, S3, CloudTrail, every-damn-thing.

They're claiming "no evidence of compromise" based on CloudTrail logs that AWS root could have deleted or modified. They even admit they "Enabled AWS CloudTrail" after regaining control - meaning CloudTrail wasn't running during the compromise window.

You cannot verify supply chain integrity from logs on a system where root was compromised, and you definitely can't verify it when the logs didn't exist (they enabled them during remediation?).

So basically, somebody correct me here if I'm wrong but ... Every gem published Sept 19-30 is suspect. Production Ruby applications running code from that window have no way to verify it wasn't backdoored. The correct response is to freeze publishing, rebuild from scratch (including re-publishing any packages published at the time? Ugh I don't even know how to do this! ) , and verify against offline backups. Instead they rotated passwords and called it done.
by EvanAnderson | 2025-10-09 19:08:25+00:00
Replying to both your and parent post at once:

Using RSS for this seems reasonable for people who already have the ability to host a feed. I was thinking more about the Twitter-alikes for the "normies" who don't have a place to host a feed. I don't just want to see recommendations from bloggers. I'd like to be able to pull recommendations from a wider net of "content consumers" as well as "content creators".

I can't come up with an economic model that would work to run a hosting service for feedreader-generated feeds except in the case of for-profit feedreaders. There's abhorrent models there like, say, peppering the recommendation feeds with "sponsored content", or extracting demographic data from the participants and selling it. Making the recommendation feed a fee-based service also seems like a bad model, too.

That was why I look at the Twitter-alikes for the recommendation feeds-- because the transport is "free" (or, at least, not something where I'd have to worry about the business model).
by BenjiWiebe | 2025-10-09 19:08:51+00:00
I've had to replace two tires (and I don't drive very much) that would've been fine if I'd have noticed them going flat. But the first thing I noticed was the thumping and at that point they were badly damaged from driving them under inflated already.

There's a third incident like that too, but since I figured out that it had been flat when I started out, that I could've prevented it by looking at the tires (with a flashlight, cause it was dark).
by Towaway69 | 2025-10-09 19:09:20+00:00
Does n8n have an app store for such products?

Apparently there is a total market of Ableton addons[1] (for example) sold on separate markets. I would call such addons (or packs) "low code".

So there is definitely a potential market for "add ons". But does n8n a) support that and b) encourage such markets for money?

[1] https://www.ableton.com/en/packs/
by razoorka | 2025-10-09 19:09:33+00:00
That’s spot on - and it’s amplified by how the market rewards velocity signaling over craftsmanship.

Teams are optimized for output volume, not outcome quality. Hiring pipelines favor those who can “ship fast,” while the systems they ship into grow exponentially more complex. The result: shallow competence at scale.

AI just poured fuel on it - it lets everyone look 30% more productive while compounding the same underlying brittleness.
by grim_io | 2025-10-09 19:09:34+00:00
I don't like to compare LLM's to people.

There is a real return of investment in co-workers over time, as they get better (most of the time).

Now, I don't mind engaging in a bit of Sisyphean endeavor using an LLM, but remember that the gods were kind enough to give him just one boulder, not 10 juggling balls.
by BrutalCoding | 2025-10-09 19:10:05+00:00
Anyone from Anthropic here?

The bottom of the article mentions:

"To see plugins in action, try this multi-agent workflow we use to develop Claude Code

`/plugin marketplace add anthropics/claude-code`"

So I tried it out and got myself into:

"Failed to clone marketplace repository: SSH authentication failed. Please ensure your SSH keys are configured for GitHub, or use an HTTPS URL instead.

Original error: Cloning into '/Users/brutalcoding/.claude/plugins/marketplaces/anthropics-claude-code'...

fatal: Could not read from remote repository.

Please make sure you have the correct access rights and the repository exists."

Fixed it by running this instead: "/plugin marketplace add https://github.com/anthropics/claude-code".

It makes sense to me, but I just wanted to point it out :-)
by ardanur | 2025-10-09 19:10:28+00:00
"Data Oriented Design" is more than just for performant code.

You can and perhaps should also use it to reason about and design software in general. All software is just the transformation of data structures. Even when generating side-effects is the goal, those side-effects consume data structures.

I generally always start a project by sketching out data structures all the way from the input to the output. May get much harder to do when the input and output become series of different size and temporal order and with other complexities in what the software is supposed to be doing.
by dec0dedab0de | 2025-10-09 19:10:30+00:00
Because it hasn't been blessed by the PSF. Plus it's always behind, so if you want to use the newest version of framework x, or package y then you're SOL.

Python libraries used to brag about being pure Python and backwards compatible, but during the push to get everyone on 3.x that went away, and I think it is a shame.
by kbyatnal | 2025-10-09 19:11:07+00:00
thanks!

A lot of customers choose us for our handwriting, checkbox, and table performance. To handle complex handwriting, we've built an agentic OCR correction layer which uses a VLM to review and make edits to low confidence OCR errors.

Tables are a tricky beast, and the long tail of edge cases here is immense. A few things we've found to be really impactful are (1) semantic chunking that detects table boundaries (so a table that spans multiple pages doesn't get chopped in half) and (2) table-to-HTML conversion (in addition to markdown). Markdown is great at representing most simple tables, but can't represent cases where you have e.g. nested cells.

You can see examples of both in our demo! https://dashboard.extend.ai/demo

Accuracy and data verification is challenging. We have a set of internal benchmarks we use, which gets us pretty far, but that's not always representative of specific customer situations. That's why one of the earliest things we built was a evaluation product, so that customers can easily measure performance on their exact docs and use cases. We recently added support for LLM-as-a-judge and semantic similarity checks, which have been really impactful for measuring accuracy before going live.
by qwelkfj | 2025-10-09 19:11:07+00:00
$ virtualenv ~/venv/yt-dlp $ . ~/venv/yt-dlp/bin/activate $ pip install yt-dlp $ ln -s ~/venv/yt-dlp/bin/yt-dlp ~/bin/yt-dlp $ deactivate $ yt-dlp ...
by deng | 2025-10-09 19:11:21+00:00
If they really have ethical concerns regarding sharing data with third parties, maybe they should update their privacy policies accordingly?

"We collect information related to web traffic such as IP addresses and geolocation data for security-relevant events and to analyze how and where RubyGems.org is used."

(https://rubygems.org/policies/privacy)

"We may share aggregate or de-identified information with third parties for research, marketing, analytics, and other purposes, provided such information does not identify a particular individual."

(https://rubycentral.org/privacy-notice/)
by salleisha | 2025-10-09 19:11:22+00:00
Everyone’s excited about AI that writes or designs. But the most impactful AI is often the kind you don’t see — quietly automating compliance, accounting, and decision support behind the scenes.

At TaxHero AI, we use n8n + OpenAI to automate bookkeeping for early-stage startups. It’s not “fancy AI,” but it saves founders hours and thousands in penalties.

Curious if others here are building AI into non-obvious layers of their product too — the ones that don’t make headlines, but change the workflow completely.
by Animats | 2025-10-09 19:11:55+00:00
Almost all copies of the critical biography of John MacArthur, "The Stockholder", have disappeared. The Library of Congress' one copy is stored offsite. The New York Public Library's copy is still available for on-site reading. But there's still a used paperback on Amazon for $149.

Now that's a successful cover-up.

[1] https://www.amazon.com/Stockholder-William-Hoffman/dp/B0006B...
by nebula8804 | 2025-10-09 19:12:05+00:00
I think with the case of Iceblock the developer talked about how the app is super simple by design so that it can be used by 80 year old grandmas. I believe thats part of the reason it wasn't a PWA or something of that nature (among other reasons)

In the case of this application, the circle of users may shift more towards technically savvy.

If we assume this to be true, I could see how it may make sense to provide the application as a sideloadable APK or as open source so that it can be compiled and installed using TestFlight. Its unfortunate that we've reached the point that users can't even run software on their own computing devices.

I wonder if things continue to get bad will we start to see a greater number of people refraining from installing updates to their devices just because prior versions allow more things like jailbreaks. Apple is burning their reputation with these moves so it may happen.
by JamesBarney | 2025-10-09 19:12:07+00:00
I think amyloid being the proximate cause of neural degeneration in moderate and severe Alzheimers is basically disproven at this point.

I still think it's more likely than not (70%) that it is a cause though farther upstream. There is a good amount of evidence tau is more likely the proximate cause due it more closely tracking disability in moderate to late stage Alzheimer's.
by dlenski | 2025-10-09 19:12:13+00:00
> All 33 of the batteries with the [negative anode overhang] defects came from the 424 sold by low-cost brands or brands selling counterfeits. > > … > > None of the name brand OEM batteries were found to have any problems, and while there was some deviation in anode overhang for rewrap batteries, the deviations were seven times worse for the low-end cells.

Based on those stats, it sure sounds like the following is happening:

1. The reputable OEMs (Samsung, Panasonic, Murata in this study) do adequate quality control for defective batteries. The low-cost OEMs do not do adequate quality control. 2. Some portion of the defective or not-fully-tested batteries from the reputable OEMs get "diverted" to rewrappers, who essentially just relabel the batteries without doing any further testing.

Is that a correct read?
by ashtakeaway | 2025-10-09 19:12:30+00:00
The science hostile cohort is flourishing wherever christian fundamentalism is rampant, in some places most people are exactly this. A lot of the depressing things Carl Sagan mentioned in Demon Haunted World turns out to be true. I had thought that 20 years ago we were on our way to being a rational society but it turned out this notion was on its way out.
by razoorka | 2025-10-09 19:12:32+00:00
Completely agree, software’s “materials” haven’t improved, only the scaffolding around them.

We’ve industrialized the process without industrializing the discipline. The result is mass-produced code built on shaky abstractions, fast to assemble, and faster to decay.

Linux and curl weren’t built on sprints or OKRs. They were built on ownership, long time horizons, and the idea that stability is innovation when everyone else is optimizing for speed.
by hahahacorn | 2025-10-09 19:13:20+00:00
I think this is just an incredibly well written blog post regardless of the topic. I often get frustrated when I realize I'm working or conversing with individuals who don't fully understand the actual mechanisms for _how_ money creates perverse incentives in the real world, how systems (*of sufficient scale) that rely on everyone to be perfect and good natured are flawed, and how just because two things rhyme doesn't mean they're the same thing.

And, though I'm sure the author wasn't particularly concerned with his literary technique, this was all foreshadowed discussing the strained relationship with Tobi (maximalist vs nuance).

This is a very broadly applicable/generalizable blog post that I think should be read even if you don't care about the specific ruby drama going on.
by somewhereoutth | 2025-10-09 19:13:39+00:00
> The development of AI will clearly have society-changing effects, just as the arrival of the internet and mobile communication did.

Or, maybe the economics can't be made to pencil out, and AI is abandoned (again).

> The impossibility lies in knowing the speed of adoption, and which lumps of capital will earn extraordinary returns and which will end up getting torched.

Almost certainly all of it will end up getting torched.
by ragnese | 2025-10-09 19:13:45+00:00
Yes. The first time I heard/read someone describe this idea of managing parallel agents, my very first thought was that this is only even a thing because the LLM coding tools are still slow enough that you can't really achieve a good flow state with the current state of the art. On the flip side of that, this kind of workflow is only sustainable if the agents stay somewhat slow. Otherwise, if the agents are blocking on your attention, it seems like it would feel very hectic and I could see myself getting burned out pretty quickly from having to spend my whole work time doing a round-robin on iterating each agent forward.

I say that having not tried this work flow at all, so what do I know? I mostly only use Claude Code to bounce questions off of and ask it to do reviews of my work, because I still haven't had that much luck getting it to actually write code that is complete and how I like.
by mullingitover | 2025-10-09 19:13:49+00:00
The last legal ruling on the matter found that they are mostly being enacted illegally by using emergency powers[1] and may end up being refunded entirely. So until they are actually able to be booked, we can't say they are impacting the budget one way or another. If they aren't legalized then the work it took to collect and then refund them all is money that may as well have been incinerated.

[1] https://www.npr.org/2025/08/29/nx-s1-5522457/tariffs-trump-t...
by nisten | 2025-10-09 19:14:10+00:00
half readable color scheme.. random python and javascript mixed in, ships with 2 python CVEs out of the box out of 5 total dependencies... yep it checks out bois...certified infested slop

python-socketio==5.8.0: 1 CVE (CVE-2025-61765); Remote Code Execution via malicious pickle deserialization in multi-server setups. eventlet==0.33.3: 1 CVE (CVE-2025-58068); HTTP request smuggling from improper trailer handling.

And then economists wonder why are none of these people getting jobs...
by Tarsul | 2025-10-09 19:14:13+00:00
I actually made money accidentally with a BahnCard subscription. I canceled my BahnCard 50 within the first 14 days (which they have to conform to due to laws) via email (btw: before the starting date so I did not use it). They confirmed and send me back 100Euros too much money. Why 100Euro? I had originally used a coupon code that saved me 100Euro. Good guy as I am I told them via mail that they sent me too much money back. What did they say? No, can't be, Bahncard50 costs are the higher amount, the banking statement that I sent them must be of something else.

I was like... alright, no sense in arguing with them anymore.
by razoorka | 2025-10-09 19:14:13+00:00
Exactly! software is the only engineering discipline where failure has no liability and degradation has no visibility.

Bridges collapse once. Software collapses silently, one abstraction at a time. The incentives are inverted: short-term growth gets rewarded, long-term stability gets deprecated.

When there’s no physical consequence for failure, “good enough” becomes the design philosophy.
by jszymborski | 2025-10-09 19:14:26+00:00
I enjoyed this. With the hindsight of today's LMs, people might get a kick our of reading Claude Shannon's "Prediction and Entropy of Printed English" which was published as early as 1950 [0], and later expanded on by Cover and King in 1978 [1].

They are fun reads and people interested in LMs like myself probably won't be able to stop thinking about how they can see the echos of this work in Bengio et al.'s 2003 paper.

[0] Shannon CE. Prediction and Entropy of Printed English. In: Claude E Shannon: Collected Papers [Internet]. IEEE; 1993 [cited 2025 Sep 15]. p. 194–208. Available from: https://ieeexplore.ieee.org/document/5312178

[1] Cover T, King R. A convergent gambling estimate of the entropy of English. IEEE Trans Inform Theory. 1978 Jul;24(4):413–21.
by laterium | 2025-10-09 19:14:38+00:00
It's a new technology which lends itself well to outrageous claims and marketing, but the analogy stands. The CEOs don't get to define the narrative or stand as strawman targets for anti-AI folks to dunk on, sorry. Elon has been repeating "self driving next year" for a decade+ at this point, that doesn't make what Waymo did unimpressive. This level of cynicism is unwarranted is what I'm saying.
by feoren | 2025-10-09 19:14:44+00:00
"Just don't write bad code" means that you can easily avoid some of the anti-patterns that people list as weaknesses of C#. Yes, maybe you inherit code where people do those things, but how much of that is because of C#, and how much is due to it being popular? Any popular language is going to have bucketloads of bad code written in it. Alternatively: "you can write bad code in any language". I'm far more interested in languages that help you write great code than those that prevent you from writing bad code. (Note that I view static typing in the "help you write great code" category -- I am distinguishing "bad code" from "incorrect code" here.)

Yes, some programming languages have more landmines and footguns than others (looking at you, JS), and language designers should strive to avoid those as much as possible. But I actually think that C# does avoid those. That is: most of what people complain about are language features that are genuinely important and useful in a narrow scope, but are abused / applied too broadly. It would be impossible to design a language that knows whether you're using Reflection appropriately or not; the question is whether their inclusion of Reflection at all improves the language (it does). C# chose to be a general-purpose, multi-paradigmatic language, and I think they met that goal with flying colors.

> Newcomers won't know many DI framework implicit behaviors & conventions until either they shoot themself in their foot or get RTFM'd

The question is: does the DI framework reduce the overall complexity or not? Good DI frameworks are built on a very small number of (yes, "magic") conventions that are easy to learn. That being said, bad DI frameworks abound.

And can you imagine any other industry where having to read a few pages of documentation before you understood how to do engineering was looked upon with such derision? WTF is wrong with newcomers having to read a few pages of documentation!?
by whatevertrevor | 2025-10-09 19:14:45+00:00
As a user I'm worried about a + b sure. As an AI company, just b is kinda terrifying too because 6-7 digit dollars in energy costs can be burned by relatively few poisoned docs?

Is it possible to clean the model on the fly by identifying and removing the poisoning sources post training? Or do you have to start from scratch?