MurphyA/hacker-news huggingface dataset:
by philistine | 2026-03-03 20:58:23+00:00
It's ridiculous to claim high and mighty that a chip that's not out yet is competitive. The only real way to test a laptop chip is in a laptop with the thermal choices made by the laptop maker. Hell, the M5 has been mostly benchmarked on the Macbook Pro, and that has a fan! The M5 is not going to be as impressive in the Air.

It's been five years since M1 and Intel has never been competitive in single-core perf per watt with Apple. It would be surprising if it changed.
by wiether | 2026-03-03 20:58:41+00:00
It's a multitude of factors but basically they can act like that because they are dominant on the market.

The classic "nobody ever gets fired for buying IBM".

If you pick something else, and there's issue, people will complain about your choice being wrong, should have gone with the biggest player.

Even if you provide metrics showing your solution's downtime being 1% of the big player.

Something like Cloudflare is so big and ubiquitous, that, when there's a downtime, even your grandma is aware of it because they talk about it in the news.
So nobody will put the blame on the person choosing Cloudflare.

Even if people decides to go back (I had a few customers asking us to migrate to other solutions or to build some kind of failover after the last Cloudflare incidents), it costs so much to find the solutions that can replace it with the same service level and to do the migration, that, in the end, they prefer to eat the cost of the downtimes.

Meanwhile, if you're a regular player in a very competitive market, yes, every downtime will result in lost income, customers leaving... which can hurt quite a lot when you don't have hundreds of thousands of customers.
by dasil003 | 2026-03-03 20:59:25+00:00
Sure also in big companies there are plenty of places for low performers to survive by owning some very small and rigid scope that doesn’t require any real end-to-end thinking.

In my experience distribution of engineer quality is even across companies, countries, ages and any other dimension we can come up. Certain big scale skills can really only be practiced at honed at large tech companies, but it’s always a small minority that actually make those things happen. Resume alone can be an extremely misleading signal.
by ngriffiths | 2026-03-03 20:59:26+00:00
Raises a few questions:

1. Is there still value in a trusted source of high quality, relevant information existing in an easily accessible place? To me the answer is obviously yes, whether a human writes it or an agent, and also whether a human consumes it or an agent

2. If an agent visits a page, they shouldn't generate ad revenue (I guess they don't? is that true?). Should they just be able to copy the information for free? If the answer to 1. is yes, the answer here should probably be no.

3. Does this completely break the ad revenue model that powers like the whole internet?

4. Does this seriously threaten our ability to maintain a high quality, shared collection of knowledge? What can be done?
by pbhjpbhj | 2026-03-03 21:00:09+00:00
Ha, I had never heard of this effect despite having studied Kamiokande (well neutrinos, at least) as part of a mini-dissertation for my B.Sc.

However, looking for sources relating to leaching by ultra pure water (UPW) not much turned up.

I did however find on Google Scholar a paper "Ultrapure Water: friend or foe?"... which lead me to https://www.balazs.com/sites/balazs/files/2023-03/pub0039-up... . Reading between the lines, Marjorie Balazs appears to have made a career out of UPW; she says in that paper:

"The ability for UPW to absorb and dissolve or react with all kinds of materials
complicates other aspects concerning its use in the processing of wafers."

Seems like UPW dissolves anything, so lends credence to the anecdote.

Interesting topic, hadn't thought about UPW for wafer fabrication before.
by krisoft | 2026-03-03 21:00:13+00:00
> maybe consider why Iran spent over $500B developing offensive nuclear weapons.

To protect themselves from the exact scenairo happening right now? The reason why Putin is sleeping peacefully in his bed while Khamenei is dead under rubble is that one has nuclear deterent while the other doesn’t.

> supposed aggressor

I don’t know if there is anything “supposed” about that aggressor given the present situation.
by ozgrakkurt | 2026-03-03 21:00:45+00:00
This factually did not play out like this in my experience.

The company did need the same exact people to manage AWS anyway. And the cost difference was so high that it was possible to hire 5 more people which wasn't needed anyway.

Not only the cost but not needing to worry about going over the bandwidth limit and having soo much extra compute power made a very big difference.

Imo the cloud stuff is just too full of itself if you are trying to solve a problem that requires compute like hosting databases or similar. Just renting a machine from a provider like Hetzner and starting from there is the best option by far.
Show HN: Network-AI – plug any AI framework into one atomic blackboard
by jovanaccount | 2026-03-03 21:01:04+00:00
I built this because every multi-agent system I worked on had the same problems:
agents overwriting each other's state, no permission boundaries, no token budgets,
and you're locked into one framework.

Network-AI adds a coordination layer on top of whatever you already use —
LangChain, CrewAI, AutoGen, MCP, etc. Shared atomic blackboard with
propose→validate→commit, AuthGuardian for permission gating, FederatedBudget
for token ceilings, and 12 plug-and-play adapters.

No API key needed to try the demo: npx ts-node examples/08-control-plane-stress-demo.ts
by philistine | 2026-03-03 21:01:40+00:00
Let me wax poetics here. Apple has been chasing the dream of the portable computer for so long, and has been at the forefront of the ultimate form factor of the personal computer, the laptop, since the early 90s. It's not surprising to me that the company that made an OS for everything, and a project to make an OS for everything, cannot figure out a reliable way to bring us a bicycle for the mind where you just close the lid.

Only Apple has been laser-focused to give us this experience.
by chsitter | 2026-03-03 21:01:45+00:00
Right - that makes sense. I see it similarly. My assumption though is that as models get better, the likelyhood of the model missing context that matters the most will get lower and lower.

The hybrid approach though is nice, I'll have a think about that and see if that's something I can incoporate into it. Thanks for the feedback, very much appreciated
by epistasis | 2026-03-03 21:02:14+00:00
Here's a 2019 Figma article on this, not sure if its representative of their current system

> OTs power most collaborative text-based apps such as Google Docs. They’re the most well-known technique but in researching them, we quickly realized they were overkill for what we wanted to achieve ...

> Figma's tech is instead inspired by something called CRDTs, which stands for conflict-free replicated data types. ... Figma isn't using true CRDTs though. CRDTs are designed for decentralized systems where there is no single central authority to decide what the final state should be

https://www.figma.com/blog/how-figmas-multiplayer-technology...
by araes | 2026-03-03 21:02:15+00:00
Fraud (Wikipedia, United States):

- Misrepresents a material (non-trivial) fact in order to obtain action or forbearance by another person
- The other person relies upon the misrepresentation
- The other person *suffers injury* as a result of the act or forbearance taken in reliance upon the misrepresentation.

Damages in fraud cases is normally computed using

- Recovery of damages in the amount of the *difference between the value of the property* had it been as represented and its actual value
- Out-of-pocket loss, which allows for the recovery of damages in the amount of the *difference between the value of what was given and the value of what was received*.

Usually also heavily implied it needs to involve money in some significant way:

18 U.S.C. § 1343

(...)'any scheme or artifice to defraud, or for obtaining money or property by means of false or fraudulent pretenses, representations, or promises'(...)

Fraud cases also usually heavily apply burden of court practice on the prosecution, to prove fraud and substantial losses. If you type 'John Smith DOB 1/1/1900' the "victim" has to prove it caused them to suffer injury and that there was a significant difference between the value of the property (non-trivial).
by raynchad | 2026-03-03 21:02:31+00:00
I created Investing Made Easy for Beginners for one simple reason:

I remember what it felt like to be completely confused about investing.

The jargon.
The conflicting advice.
The fear of losing money.
The feeling that “everyone else understands this but me.”

Instead of gatekeeping information or overcomplicating it, I wanted to break investing down into something normal people can actually understand.
by anakaine | 2026-03-03 21:02:31+00:00
> My 32-core HEDT workstation outperforms anything Apple branded

Your high end hardware is not their target market / competition until you get into very purposeful tasks.

The market segment that exists for Macbook Pro is one where competitors battery life sucks, windows isnt the preferred OS, and high performance on a portable device on battery is beneficial. Its one where they have acceptable performance vs a dedicated desktop but remain portable and a good expected lifespan, as a portable.
by jonathanlydall | 2026-03-03 21:02:34+00:00
I feel the greatest trick of American politicians is that the term “tariff” tends to be used by most people instead of “import tax”.

I live in South Africa and we have significant import taxes on certain kinds of items, but nobody (aside perhaps from economists/accountants/tax practitioners, etc) calls them tariffs.

It’s not the overseas seller who pays extra for the item to be imported, it’s the importer, paid to the tax man. It’s a tax paid on imports. That cost is ultimately passed on to end buyers, such as myself. Why would I generally refer to it as a tariff except for reasons of pedantry?
by user5994461 | 2026-03-03 21:03:03+00:00
If you're not aware, Intel has released a lineup of laptops, with some models having the GPU made by them and some having the same GPU made by TSMC. That makes the comparison very direct. TSMC can deliver nearly 3 times the power/performance.

GPU and CPU manufacturing is the same thing, same node, same result. GPU is always maximizing perf/power ratio because it's embarrassingly parallel, leaving no room to game the benchmark. CPU can be gamed by having a single fast core, that drops performance in half as soon as you use another core.
by K0balt | 2026-03-03 21:03:14+00:00
This was my take also until recently. It’s now become possible to write better code, faster than you’d get without AI.

It’s all about planning and architecting things before any code is generated. It’s not vibe coding prompt->code, its idea->design->specification->review->specification-> design->architecture->define separate concerns->design interfaces/inter module APIs->define external APIs->specification/review->specification-> now start building the code, module by module. Writing in c++ at
Least, I have had very good results with this approach, and I’m ending up with better, more maintainable code, less bugs to hunt, and all in about 0.15-0.25 the time it would have taken to hack something together as an MVP that will have to be rewritten.
by DarmokJalad1701 | 2026-03-03 21:03:25+00:00
> Namely our lack of spending on healthcare

The federal govt spent about 2.6-2.8 trillion dollars[1] on healthcare in 2025 - including Medicare, Medicaid, ACA subsidies, VA/DoD health and federal employee benefits). In what world is that "lack of spending" ?

[1] https://www.pgpf.org/article/healthcare-spending-will-be-one...
by spwa4 | 2026-03-03 21:03:52+00:00
True, but you should be more cynical. When push comes to shove, every famous court case between management and owners has gone the same way: management wins, owners lose (meaning when owners wanted to turn back a management decision, courts refused to do it, or when asked to actually pin that responsibility CxOs always whine about on them, financially)

Why is management paid so much? Because they can make the argument "give me more, or I'll destroy the company", and actually be believable.

THAT is why it's so critical for CxOs to be aligned with owners' interests.
by montenegrohugo | 2026-03-03 21:04:14+00:00
Shameless self-promo: We've been working for the last two years on making money movement free. We use ethereum (and stablecoins) for that, and integrate with the novel real time payment networks like PIX, Wechat, Yape, Mercadopago and so on.

We're still orders of magnitude smaller than Visa and Mastercard, but I do believe products like ours (and competition is red hot here, theres so much good choice!) will be good for consumers.

Money should be like a message: free and instant

We're open source btw, happy to show off codebase and review PRs

https://github.com/peanutprotocol/peanut-ui

https://peanut.me/
by hedora | 2026-03-03 21:04:25+00:00
The article is a divisive Trump thing about how we cannot have free media anymore because the FCC is censoring stuff.

Your comment about citizenship and tolerance makes sense, but that's also under direct attack by the Trump administration. They literally just forcefully coerced the scouts into dropping the exact things you are advocating for from their program.

There's no real path towards tolerating that and also having a tolerant society. This is the main weakness of liberal democracies, and it's being exploited to tear our institutions down.
by Viper117 | 2026-03-03 21:05:21+00:00
Sentinel Defense Technologies | Remote (Global) | Equity → Pre-Seed in 6-10 Weeks

We are building an AI-powered civilian protection platform — real-time threat intelligence for non-combatants in conflict zones. Think Waze for airstrikes. Multi-model AI pipeline (Gemini) ingests OSINT, verifies it through gated analysis, and pushes geolocated alerts to offline-first mobile clients. People die when information is late or wrong — we are solving both problems.

We are currently unfunded, operating on sweat equity. Pre-seed is 6-10 weeks out. This is not a side project — we have a working system, a pipeline of 39 vetted applicants, and a founder who has been shipping code daily for months. But I will not sugarcoat it: right now, this is nights-and-weekends until funding closes.

*We need two people:*

*1. Systems Architect / Full Stack Dev*
You see the whole board. You think in pipelines, failure modes, and deployment constraints — not just endpoints. You will own the technical architecture of a system where a bug isn't a bad UX, it's a missed warning. Python/Django, MongoDB, LLMs (Gemini/Vertex AI). Bonus: Flutter, OSINT, geospatial.

*2. Implementation Partner / Full Stack Dev*
You ship. Relentlessly. You take a spec and it's done by morning. You don't wait for perfect — you build, test, push, iterate. Same stack: Python/Django, MongoDB. You will be the person who turns architecture into working product at startup speed.

Both roles require exceptional drive. This is a founding team — not a job listing.

*Compensation (No BS):*
- *Now:* Sweat equity only. You're building your stake.
- *Pre-Seed (6-10 weeks):* $3,000/month + equity per contributor.
- *Seed (6-12 months):* 75% market salary + equity. Increases from there.

If you need full salary today, this is not for you. If you want to build something that actually matters and you're willing to bet on yourself for 6-10 weeks to get there — keep reading.

*Stack:* Python, Django 4.1, MongoDB, Flutter, Vertex AI (Gemini), Docker, AWS.

*Apply:* PeterJFrancoIII@gmail.com — Send your resume or GitHub and tell me what you'd ship in your first week.

https://sentinelcivilianriskanalysis.netlify.app
by Viper117 | 2026-03-03 21:06:08+00:00
Sentinel Defense Technologies | Remote (Global) | Equity → Pre-Seed in 6-10 Weeks

We are building an AI-powered civilian protection platform — real-time threat intelligence for non-combatants in conflict zones. Think Waze for airstrikes. Multi-model AI pipeline (Gemini) ingests OSINT, verifies it through gated analysis, and pushes geolocated alerts to offline-first mobile clients. People die when information is late or wrong — we are solving both problems.

We are currently unfunded, operating on sweat equity. Pre-seed is 6-10 weeks out. This is not a side project — we have a working system, a pipeline of 39 vetted applicants, and a founder who has been shipping code daily for months. But I will not sugarcoat it: right now, this is nights-and-weekends until funding closes.

*We need two people:*

*1. Systems Architect / Full Stack Dev*
You see the whole board. You think in pipelines, failure modes, and deployment constraints — not just endpoints. You will own the technical architecture of a system where a bug isn't a bad UX, it's a missed warning. Python/Django, MongoDB, LLMs (Gemini/Vertex AI). Bonus: Flutter, OSINT, geospatial.

*2. Implementation Partner / Full Stack Dev*
You ship. Relentlessly. You take a spec and it's done by morning. You don't wait for perfect — you build, test, push, iterate. Same stack: Python/Django, MongoDB. You will be the person who turns architecture into working product at startup speed.

Both roles require exceptional drive. This is a founding team — not a job listing.

*Compensation (No BS):*
- *Now:* Sweat equity only. You're building your stake.
- *Pre-Seed (6-10 weeks):* $3,000/month + equity per contributor.
- *Seed (6-12 months):* 75% market salary + equity. Increases from there.

If you need full salary today, this is not for you. If you want to build something that actually matters and you're willing to bet on yourself for 6-10 weeks to get there — keep reading.

*Stack:* Python, Django 4.1, MongoDB, Flutter, Vertex AI (Gemini), Docker, AWS.

*Apply:* PeterJFrancoIII@gmail.com — Send your resume or GitHub and tell me what you'd ship in your first week.

https://sentinelcivilianriskanalysis.netlify.app
by zer00eyz | 2026-03-03 21:06:55+00:00
> These sorts of core-density increases are how I win cloud debates in an org.

AMD has had these sorts of densities available for a minute.

> Identify the workloads that haven't scaled in a year.

I have done this math recently, and you need to stop cherry picking and move everything. And build a redundant data center to boot.

Compute is NOT the major issue for this sort of move:

Switching and bandwidth will be major costs. 400gb is a minimum for interconnects and for most orgs you are going to need at least that much bandwidth top of rack.

Storage remains problematic. You might be able to amortize compute over this time scale, but not storage. 5 years would be pushing it (depending on use). And data center storage at scale was expensive before the recent price spike. Spinning rust is viable for some tasks (backup) but will not cut it for others.

Human capital: Figuring out how to support the hardware you own is going to be far more expensive than you think. You need to expect failures and staff accordingly, that means resources who are going to be, for the most part, idle.
by hrmtst93837 | 2026-03-03 21:07:00+00:00
Using './*' would have avoided this in most shells because ordinary globbing excludes dotfiles, so .ssh and authorized_keys are not matched. In my experience scp is brittle for bulk syncs, so I run rsync -a --exclude='.ssh' --dry-run ./ user@host:~/target to verify before I commit the changes. I keep an out of band recovery path, like a temporary deploy key, a nonprivileged rescue user, or console access, as the only reliable way to avoid being locked out at 3AM.
by cperciva | 2026-03-03 21:07:35+00:00
Related: In FreeBSD we used to talk often about the Wemm Field. Peter Wemm was one of the early FreeBSD developers and responsible for most of the early project server cluster, and hardware had a phenomenal habit of breaking in his vicinity. One notable story I heard involved transporting servers between data centers and hitting a Christmas tree in the middle of a highway... in March.
by testbyhuman_tor | 2026-03-03 21:08:00+00:00
Exactly right. Family members learn your mental model through proximity — they know what you meant even when the UI doesn't say it clearly. A stranger has none of that context, so they hit the friction points you literally cannot see anymore. The query-writing example is a good one. You solved it with AI generation because your family struggled. Imagine how many other spots like that exist that you won't find until someone with zero context tries it.
by d_burfoot | 2026-03-03 21:08:37+00:00
It's a bad idea to phrase advice as "Don't Do X", for most values of X that are often undertaken:

- Don't move to Detroit

- Don't go into academia

- Don't use dating apps

- Don't buy Google stock

It's most obvious for the last one: you should buy Google (or any other) stock if you think it's underpriced and sell it if you think it's overpriced. But even for the other advice, a kind of Efficient Market Hypothesis holds. If there were a massive exodus of people from academia, causing universities to increase salaries and reduce administrative burdens, going into academia might be great for the right people. For many people Detroit is a terrible city, but I know a guy who worked for the Tigers, and bought a large house for a small amount of money, and did a lovely job renovating it, so Detroit worked well for him.

Life is all about finding underpriced value: options that you will appreciate more than others, for whatever reason.
by gitpusher | 2026-03-03 21:08:44+00:00
[Reject Optional], [Essential Cookies Only] ... I am one of the people who clicks such options. But to some degree they are "privacy theater". Any website that presents you with such a choice is almost certainly loaded to the gills with tracking/analytics and various 3rd-party services that will track you with browser fingerprinting regardless of any buttons you click on the cookie banner. Nevertheless I still reject them, mostly out of spite.
by metalliqaz | 2026-03-03 21:08:47+00:00
This post seems to conflate using `throw`, `raise`, etc. with crashing. The idea that 'handling' an error does not involve `throw`/`catch`, `try`/`except` is very strange to me. The exception facility is often the most elegant way to check inputs, and if I remember correctly the Python documentation says as much as well.
by agenthustler | 2026-03-03 21:08:47+00:00
The STATE.md approach described here is exactly how I&apos;ve been running an autonomous agent for the past 23 days.

The agent wakes up every 2 hours with zero memory (no persistent context), reads its own STATE.md to understand what past iterations did, evaluates what&apos;s working, and acts. The STATE.md is simultaneously the spec AND the execution log.

What I&apos;ve found: the biggest failure mode isn&apos;t the agent making bad decisions — it&apos;s the agent rediscovering its own architecture every run. Each time it reads STATE.md, it&apos;s essentially a new agent with inherited knowledge. This creates an interesting pressure to write STATE.md entries that are actually useful to a future self, not just status updates.

The spec-driven approach here solves the same problem from the other direction: the spec gives the agent enough context to act without needing to reconstruct context from scratch.

The tmux session management also resonates — we use a LaunchAgent plist for the same reason: consistent environment with keychain access, no cron auth issues.

Live experiment if curious: https://frog03-20494.wykr.es