MurphyA/hacker-news huggingface dataset:
by Snelius | 2026-02-24 02:19:20+00:00
Thank you for the link but it's not the same case ;) Google used storage switching which has migration in mixed mode, i.e. migration on demand when data migrated due user access to. API had compatibility layer to read/write from/to both storage systems (i built kind of this migration mechanism about decade ago). And google spend about 8 years for the migration which ok. And the article about Database migration which can be periodical process (critical scheme changes for example) and they describe it to us. Take snapshot and racing with snapshot overhead changes and etc. I think we can let's over here. It's not a zero downtime solution cuz it's not exists.
by LarsDu88 | 2026-02-24 02:19:35+00:00
I think the problem here is relying on Google docs.

The absolute best programmers today got started on command line. You can linux command line on a literal potato. There are vape pens that have more computing power than what I grew up learning on in the late 90s.

You're students need less distractions not more. Even the most powerful AI applications like Claude Code run in CLI.

You can absolutely learn how to program on a $17 raspberry pi zero w connected to an old monitor and keyboard nowadays. Its not about the hardware, it's about what you do with it.
by BoxedEmpathy | 2026-02-24 02:20:59+00:00
Agreed. It's opinion and unscientific.

The article fallaciously overstates the cognitive significance of shopping lists by misapplying general psychological concepts to a mundane habit. It relies on false cause and appeal to authority, conflating a standard compensatory memory mechanism with inherent intelligence. The author generalizes behavior, ignoring alternative motivators like memory deficits or anxiety. Furthermore, the piece lacks precise citations and improperly retrofits foundational research—such as academic note-taking studies—to fit its narrative. Ultimately, while it references factual cognitive capacity limits, the core claim that list-making signifies "sharper thinking" remains an unsupported editorial opinion rather than empirical science.
Any article that contains "Psychology suggests" isn't worth reading.

HN isn't what it once was.
by dmantis | 2026-02-24 02:22:00+00:00
That's not universally true, there is a class of privacy coins whose txs are not (at least in theory) traceable.

I'd argue that's actually a more anarchist original view and transparent ledger is a bug of the first implementation, not a feature, and creates problem of the original money people are trying to solve (i.e. have electronic money without a government overreach, US using modern banking system as a political pressure tool, etc)
by ffsm8 | 2026-02-24 02:23:27+00:00
> I think a big part of why the EU isn't in the same galaxy as the US in the realm of business in general, is in some part, the knee jerk reaction to turn to the government to make products and services better.

Hilarious take considering the initiative is a brainchild of an American.

The initiative is in the EU because the US doesn't have a way for citizens to force the legislative to make decisions. This is on record, with him plainly stating it. Not an interpretation or anything

> Sure, you can stand there pounding your chest for "democracy," but I contend that those who are building their own things are practicing it far more than those who are demanding others make things for them.

Srsly, this is as big brain as you can get.
Are you seriously unaware that quiet a few of the most selling games were made in the EU?
by slopinthebag | 2026-02-24 02:24:15+00:00
It's precisely the opposite actually; If you're wealthy you can switch citizenships, hide your assets in tax havens, and afford property and other assets to store your wealth. For the debanked, or those living in unstable or authoritarian countries it gives them a more stable way to store and transact, especially with massive inflation.

Pretty much everyone I know who talks shit about bitcoin is wealthy and privileged.
by infecto | 2026-02-24 02:24:17+00:00
If you have a consistent example of those solving market supply and demand pricing I am all ears. I read what you said but has little to do with my statement. Over the course of history one of the best mechanisms to solve imbalance is supply and demand has been the market and its ability to eventually set prices correctly. It’s not perfect and it’s not always the best solution but it’s pretty good for these types of problems.

I am all ears for your examples though but I don’t think borders, leadership changes or advances are “this type of problem”
by Deanoumean | 2026-02-24 02:24:55+00:00
Lol this dude is incapable of finishing anything he starts. Always a million distractions. First he started an OS called Serenity, then abandoned that to start a programming language (Jank or something) then abandoned that to work on a web browser, now it's looking like he is looking for things to distract away from that... A shame really.
by scuff3d | 2026-02-24 02:25:20+00:00
I don't think they actually care if it ever materializes. They just have to sell execs on it. As long as they can the exec will sell it to their higher ups, mostly by just flat out lying about it.

I see it all the time at the Director and VP level. Once big money is on the line, there are no failures, just "opportunities for strategic realignment"
by chris_money202 | 2026-02-24 02:26:04+00:00
I think a pretty good example I had at work, we had the option to buy a software package from a 3rd party company. After reviewing the specs we needed, I told my manager to give me a few hours to see if I could produce what we needed with AI instead. Lo and behold, I was able to do it in just a few hours, AI package was tested, integrated, and we moved on. No where was any of that recorded that I just saved the company lots of money using AI. I bet there are lots of examples like this that just aren't adequately tracked at both micro and macro levels. For some reason we expected to to be able to see these huge gains from AI but we never bothered putting systems in place to observe them.
by vunderba | 2026-02-24 02:27:34+00:00
Trust is your biggest hurdle. For me, you'd have to answer several questions before I'd be comfortable plunking down 1000 USD.

1. Who are you?

2. Are you an established expert in any of the overlapping fields? (video, product demos, outreach, sales, SEO, etc)

3. How do I know you're not just throwing together an animated figma and using bots to simulate survey answers?
by DrewADesign | 2026-02-24 02:28:13+00:00
Seems like there’s a lot of resources being dumped into those data centers that will not be very useful. Saying it will all be worthwhile because we’ll have the buildings and the modest power grid updates (which are largely paid for by tax payers, anyway,) feels like saying a PS5 is a good long-term investment because the cords and box will still be good long ag after the PS5 has outlived its usefulness.
by ntnsndr | 2026-02-24 02:30:32+00:00
My parish priest told me he uses AI to edit newsletter posts. He didn't say he used it to write. And he mentioned using Magesterium.ai, which is a chatbot trained on a pretty conservative Catholic corpus (eg, it knows almost nothing about the Catholic Worker movement).

One thing I appreciate in our diocese is that the priests are encouraged to deliver their homilies without a written script. I think that is very wise, as it forces them to preach from instinct and heart, not from a script, either AI or human written.
by gpm | 2026-02-24 02:30:42+00:00
I suspect we are still at the stage where for every story like this there's an equal number of stories in the other direction of "I (more commonly reported as my coworker) tried to implement something with AI, messed it up, and ended up wasting a ton of time and resources on that mistake".

It's not that AI can't be useful, but that there's a learning curve, and early in the learning curve we should expect as many resources to be spent learning as resources are saved by using the thing. A macro level view of the economy as a whole sees this as "zero economic growth".
by bikenaga | 2026-02-24 02:31:49+00:00
My bad! I pasted the abstract from another paper I was reading. Here's the abstract that you copied part of:

"We assemble the first comprehensive sample of venture fraud cases involving 614 U.S. venture capital (VC)-backed startups founded since 2000. We find that VC-backed firms are 54% more likely to face fraud charges than comparable non-VC-backed firms within a subsample of newly public firms where detection likelihood is high and homogeneous. We then examine the role of governance in explaining venture fraud, focusing on two features that have risen in recent years—founder-friendly structures and cap table complexity. In a panel prediction model examining all venture fraud cases, we find that fraud is more likely in startups with stronger founder control rights, more convex founder cash flow rights, more investors, and greater participation of non-traditional investors. Founder-controlled boards are 88% more likely to commit fraud than VC-controlled or shared-control boards, even within the same firm. Governance variables matter much more than founder characteristics in predicting fraud. Hot funding conditions at the initial round, which weaken governance incentives, predict future fraud. Fraudulent entrepreneurs continue to found new VC-backed startups unharmed relative to non-fraudulent entrepreneurs, suggesting a lack of market discipline. Overall, our results highlight rising agency costs in VC-backed firms that could lead to misallocation and broader social costs."

I can't edit my original comment at this point - sorry for the confusion.
by cha0tikdino | 2026-02-24 02:32:13+00:00
For the last 6 months I've been running a personal Claude agent as a systemd service on a Beelink mini PC. It gives me a morning briefing in Discord, monitors my email, tracks my finances, and actually remembers things across conversations — not just the last session. Here's how the memory system works and why the naive approach falls apart.

The memory problem

Every agent tutorial I found did one of two things: forgot everything on restart, or shoved the full conversation history into every prompt until it hit the context limit and broke. Neither is usable long-term.

What actually works is three tiers:

- Core Memory — permanent facts about you, always in the system prompt, kept small (~500 chars). Who you are, current tasks, standing preferences.
- Recall — every conversation logged to SQLite, FTS5 searchable on demand. The agent can look back, but it doesn't have to carry it all.
- Archival — long-term knowledge store, same FTS5 search. Stuff like "user doesn't like meetings before 10am" or "the Plaid API returns dates in UTC not local time."

The key insight: Core Memory is always in context. Everything else is searched when needed. After 6 months of daily use the system prompt is still ~2KB.

The MCP subprocess thing

The Claude Agent SDK lets you expose tools as MCP servers. The natural approach is an in-process bidirectional channel — but there's a race condition on it (issue #148 in the SDK repo) that causes intermittent crashes under load.

The fix: run the memory MCP server as a standalone stdio JSON-RPC subprocess. The parent spawns it at startup and communicates over stdin/stdout. It's a few extra lines but eliminates the crash entirely. The skeleton in the repo does it this way.

Loop detection

Tool call loops are a real problem. Agent tries a bash command, it fails, agent tries the exact same command, it fails again, repeat until you've burned $3 and gotten nothing. The fix is trivial once you know to do it: track the last N tool call names in an array. If the last 3 are identical, call q.interrupt() and bail with an explanation.

What's in the repo

The GitHub repo is a working skeleton — the core loop, SQLite memory system, and a terminal REPL. npm install && npm start and you're talking to an agent that already has persistent memory. It type-checks clean on Node 22.

What it doesn't have: Discord integration, cron jobs, the systemd service setup, semantic memory search, or the pitfalls I hit over 6 months. I wrote all of that up in a guide — link in the README if you want the full thing, but the skeleton runs standalone.

Cost

Claude Max subscription is $20/month flat with no per-token charges. Server is a Beelink mini PC pulling ~15W — call it $2–3/month in electricity. Total: ~$25/month for something that never sleeps, has real tool access, and actually knows who you are.

Happy to answer questions about the architecture.
Show HN: Dress – A parameter-free O(E) graph equation that provably exceeds 1-WL
by velicast | 2026-02-24 02:34:02+00:00
DRESS is a nonlinear fixed-point equation that assigns a continuous similarity value to every edge in a graph. No parameters, no learning, just iterate until convergence. The result is deterministic, bounded in [0,2], and unique.

I published the original equation in 2018 (arXiv:1805.01419). I've now proved it's strictly more powerful than 1-WL (Weisfeiler-Leman colour refinement) — the standard benchmark for graph neural network expressiveness. The proof uses the prism graph vs K₃,₃, the textbook pair that 1-WL can't separate. DRESS distinguishes them because it works on edges, and different edge roles (triangle edges vs bridge edges) force different fixed-point values.

Two extensions — Motif-DRESS and Δ-DRESS — empirically distinguish Strongly Regular Graphs that defeat 3-WL, at near-linear cost instead of O(n⁴).

The library is written in C with bindings for C++, Python, Rust, Go, Julia, R, MATLAB, and WebAssembly. pip install dress-graph to try it.

Paper: https://github.com/velicast/dress-graph/blob/main/research/k...

Docs: https://velicast.github.io/dress-graph/

Looking for feedback. What am I missing? What should I test next?
Show HN: PaperBanana – Paste methodology text, get publication-ready diagrams
by mylsz | 2026-02-24 02:34:17+00:00
I got tired of spending hours in PowerPoint and TikZ drawing methodology diagrams for my papers. So I built PaperBanana — you paste your Method section text, and it generates a publication-ready figure in about 2-3 minutes.

How it works under the hood:

1. A Retriever agent searches a curated database of real academic diagrams to find structurally similar references
2. A Planner agent reads your text and generates a detailed visual description (layout, components, connections, groupings)
3. A Stylist agent polishes the visual aesthetics without changing content
4. Then it enters an iterative loop: a Visualizer generates the image, and a Critic evaluates it and suggests revisions — this repeats 1-5 times (you choose)

The key insight is that academic diagrams follow conventions — Transformer architectures, GAN pipelines, RLHF frameworks all have recognizable visual patterns. By retrieving relevant references first, the output is much closer to what you'd actually put in a paper vs. generic AI image generation.

Built with: Next.js + FastAPI + Celery, using Gemini 2.5 Flash for planning/critique and Nanobanana Pro/Seedream for image generation.

Try it here: https://paperbanana.online

Some examples it handles well: Transformer architectures, GAN training pipelines, RLHF frameworks, multi-agent systems, encoder-decoder architectures.

Known limitations:
- Works best for CS/AI methodology diagrams — not optimized for biology, chemistry, or general scientific illustration
- Text rendering in generated images isn't perfect yet — sometimes labels get slightly garbled
- The curated reference database is still small (13 examples), expanding it is ongoing work

Would love feedback from anyone who writes papers regularly. What types of diagrams do you struggle with most?
by zhongyongxu | 2026-02-24 02:35:13+00:00
Great questions—you're right to ask.

1. Who am I: jone, ex-tplink engineer, spent 3 months building
a feature that got 0 sales. Painful lesson. Now trying to solve that
for others.

2. Expertise: Not an expert in video/sales. That's why I'm talking to
people like you first instead of building a platform. Currently
learning by doing—first 3 validations are free in exchange for
brutal feedback.

3. Fraud: Valid concern. My current process:
- Typeform/Google Forms (you own the raw data)
- You pick the channels (your Twitter, your Reddit, your email list)
- I screen-record every response coming in
- Deliverable: raw CSV + my analysis, not just a "trust me" PDF

You're right that "public" without transparency is worthless.
What would make you trust the data?
by StevePerkins | 2026-02-24 02:35:15+00:00
While I personally agree that claiming any European identity label from 400+ years ago is silly, I disagree that there's any winning move other than ignoring the slacktivist noise. The people telling you that your natural identity labels are "polluted" will never be satisfied with any amount of "fighting" (i.e. arguing on social media). Because their own identity is that too wrapped up in that.

Also, in this particular instance, arguing both that "Viking" is an imaginary identity that no one really has today, AND that it's being stolen from someone else and erased, is absurd. Other Nordic commenters here have discussed contexts in which the term "Viking" is used today, and it sounds like the same semi-cheeky spirit that everyone else says it.

You will always find plenty of buyers on HN and Reddit for general anti-US sentiment. But probably fewer takers for the unjust oppression of northern European white dudes.
by tzs | 2026-02-24 02:37:02+00:00
> But the crime in the human instance is the reproduction, not the storage. So the crime in the AI circumstance would not be in the training, but in prompting the output.

I wouldn't be so sure, at least under US law. 17 USC 101 defines a "copy" as:

[...] material objects, other than phonorecords, in which a work is fixed by any method now known or later developed, and from which the work can be perceived, reproduced, or otherwise communicated, either directly or with the aid of a machine or device.

If I memorize a work what ends up in my brain is not a copy according to that definition because with current technology there is no machine or device which can be used to perceive, reproduce, or otherwise communicate it. The work can only be perceived, reproduced, or otherwise communicated by using my brain which is not a machine or device.

No copy in my brain means that memorizing the work cannot infringe the copyright owner's exclusive right to reproduce the work in copies.

An LLM, unlike my brain, is a machine or device which can be used to perceive, reproduce, or otherwise communicate the work and so the work stored in the LLM is a copy.

Training an LLM then, unlike a brain memorizing a work, makes a copy and so would be covered by the copyright owner's exclusive right to make copies.

That's going to need to be justified, probably by arguing fair use.
by fyredge | 2026-02-24 02:37:07+00:00
This sounds like an unreasonable amount of distrust in a government. If a government is truly malicious, it no longer matters if an ID was issued in the first place.

Take the current US administration. If they were to point the finger at a user for something the government didn't like, I doubt many people will agree, and more likely people will be opposed to the government than the user. The most important thing is to prevent government from abusing violence on the people for speaking up, which is somewhat lacking in the US.

More effort should be done to hold governments accountable, not finding ways to skirt around it.
by _DeadFred_ | 2026-02-24 02:37:17+00:00
Maybe because our family were forced to flee from Ireland to survive. My irish grandmothers (on my mom's side) arrived in the US child orphans (their families died on the boats) and were adopted by German families. God they are losers for not keeping up the linguistic tradition, right? We should give up any connection to the past because those little orphan girls ended up speaking english. So superior, your Irish friend, over people just trying to have some sort of connection to the world. You are some hateful petty ass people that you come at people just trying to connect.
by sendkamal | 2026-02-24 02:38:05+00:00
Thank you for checking the work and all the comments which are very very valuable. Site does quite a lot to be honest so please take some time to explore more :)

- It has over 15k individual landing pages for search engines - a dedicated page for each city, state, company, county. These pages are very reach on how they look haha:
- Exmaple: new jersey page-> https://warnfirehose.com/data/layoffs/new-jersey
- Data is exportable to multiple format including json-d and parquet - i never heard of parquet before.
- The site has MCP (model context protocol) built in !
- it accepts payments on multiple methods including paypal, apple pay, amazon pay, card etc. All refund and all built in.
- It also has an invisible admin dashboard where I can see everything (all metrics, signups payments etc.)
- Reports are crazy - these are genuinely better than someone writing at wallstreet journal, seriously. you would have to check to see them.
- The api endpoints.

I am convinced the role Software engineer is going to go away by this year end. We are turning into builders, not coders. All SaaS apps are going to take big hit because they can be builkt better for fraction of cost by anyone - just think about it.

- Its all about ideas and anyone can do it.
by EmbarrassedHelp | 2026-02-24 02:38:14+00:00
Age verification is fundamentally harmful and is an attack on user privacy. Age verification is being heavily lobbied for by tech companies that are hoping to get rich off of violating your privacy.

Anonymous age verification is fundamentally impossible. It is especially a bad idea for adult content, as a person's perfectly legal sexual beliefs and fantasies can permanently destroy their lives if that information got out. Parental controls are the only ethical, secure, and privacy protecting way forward here.
by sowbug | 2026-02-24 02:38:57+00:00
Just for you, I went back and checked the numbers.

$33K list price
4K delivery
3K sales tax
8.5K onsite assembly
1K building application and permit

So that's $49.5K for what in my mind was a $30K prefab office.

Then a basic wood frame foundation for a couple grand, torn down when the county changed its mind about the foundation type (but I did end up using most of the wood for other projects), a $4,500 site plan demanded by the county now that their concrete foundation made the project look more like a permanent fixture on the property, additional permits for the foundation, changes to the site plan when we discovered the existing foundation under the backyard pavers, and then building the foundation and the framing atop it, which all in totaled $70,485 -- not the $80K I remembered.

So I started with "Ooh, an extra room for about $30K?! Let's do it!" to "Ugh, it's actually going to be $49K with all the tax and delivery and permits," to "Aaargh, $20K more because of errors or crazy shit that they could have told me from the start." Yeah, maybe the contractor used the foundation change orders to sneak in an extra $2K-$3K, but I'm not a GC and by that point I wasn't going to bid it out.

But, as I said, I love the office and use it daily, so I can't say I regret it.
by ericmay | 2026-02-24 02:39:37+00:00
I think copyright should exist, but it only exists in that you can put a gate around it. The website makes the content available freely for the public, just use incognito mode or something or change your IP address and you get access to it.

If this was, for example, was only content behind a paywall that would make more sense to suggest there is a copyright violation here.