MurphyA/hacker-news huggingface dataset:
by Bender | 2026-03-11 18:22:55+00:00
There will never be a technical or operational process that excludes cheating. The only deterrence that seems to work on humans and even then only most of the time is severe capitol punishment and that will only be as effective as people believe it happens thus requiring live streaming of the removal of cheaters heads without censorship. The current legal process of each country would have to be by-passed or people would just sit in a cage for 30 years. Even in such cases there will be people that sacrifice themselves if they think that bribe money can go to their family but that is at least a start.
by vladdoster | 2026-03-11 18:23:30+00:00
Location: Nashville, TN
Remote: true
Willing to relocate: boston || nashville
Technologies: Python, Django, IaC, Terraform, Golang, CI/CD, Azure/AWS, {ba,z}sh, Lua, Springboot,
Redis, Docker, Open Service Broker, {,non}relational & vector dbs, shared services, SOA
Email: mvdoster@gmail.com

resume: https://linkedin.vdoster.com && http://github.com/vladdoster

sr. cloud software engineer @ Mastercard (5 years)

Designed and built Platform-as-a-Service for microservice workloads running on Azure and AWS
to migrate on-prem workloads to the cloud. The platform operates globally, allowing teams to
deploy to several Azure-backed regions worldwide. Helped plan and create regional landing zones
in Azure for application teams wanting to perform globally. Designed platform components using
Terraform, Go, and Node; developed support tooling using Bash, Python, and Azure CLI. De-risk the
platform by addressing security vulnerabilities and ensuring the platform is PCI compliant.

api/devops software engineer @ Harvard Medical School (2 years)

Worked as part of the DevOps team to manage a 15k core CentOS HPC cluster. Designed and implemented
Python-based security scanning pipeline to securely deploy & run Apptainer images via SLURM.
Coordinated cross-team emergency patching eﬀorts. Collaborated with researchers and engineers across
3-letter institutions to deliver secure research infrastructure. Built CI/CD Pipelines with GitHub, Jenkins,
to automate code builds, testing, and deployments. Wrote Puppet modules to manage configuration of HPC fleet.
Wrote custom Puppet module & Python scripts to automatically remediate Tenable findings.

full-stack software engineer @ Global Prior Art (3 years)

Used Django, Celery, Selenium grid, and AWS API Gateway for IP rotation to scrape USPTO patent PDFs,
apply CV for data extraction, and generate reports with relevant claims, saving employees 4-5 hours daily.
Wrote E2E black-box/fuzzing unit tests. Automated on-premise deployment via Github Actions and Ansible.

maintainer @ Zinit (5 years)

Develop and maintain a zsh plugin manager on Github with 4k stars. Implemented unit tests,
containerization, bug fixes, and new features.
See: https://github.com/zdharma-continuum/zinit

contributor @ Open-source documentation (5 years)

Contributed hundreds of documentation corrections and enhancements to 400+ open source projects.
by baileywickham | 2026-03-11 18:23:32+00:00
Claude Code is awesome, I use it all day, every day. OpenClaw is similar but not the same. I think if all you do is write code, CC is probably best for you.

OpenClaw is interesting because it does a lot of things ok, but it was the first to do so. It will chat with you in Telegram/messages which is small but surprisingly interesting. It handles scheduled tasks. The open source community is huge, clawhub is very useful for out of the box skills. It's self building and self modifying.
by Calavar | 2026-03-11 18:23:33+00:00
This is a good point. It is not humanly possible to verify every claim you read from every source.

Ideally, you should independently verify claims that appear to be particularly consequential or particularly questionable on the surface. But at some point you have to rely on heuristics like chain of trust (it was peer reviewed, it was published in a reputable textbook), or you will never make forward progress on anything.
by jeffbee | 2026-03-11 18:23:36+00:00
I don't even know why this is downvoted. Standard technique in Texas. Harris County does not have 40 DPS offices for its 5 million people. The current backlog to get a DPS drivers license appointment in Harris County is 45 days. The next available appointment in Kerrville is tomorrow. That is inequitable.

But anyway, none of that is the real core issue with the idea of voter ID. The real issue is that there are many living Americans who were born in jurisdictions that steadfastly refused to issue birth certificates to Black people.
by cmiles8 | 2026-03-11 18:23:41+00:00
Amazon isn’t broke — but their AI ambitions are now bigger than even a highly profitable company can self-fund. That’s not a nothing-burger. When you’re structurally dependent on debt markets to execute your core strategy, ‘we make plenty of profit’ stops being a complete answer. Will all things AI looking a bit shaky at the moment, taking out massive loans to keep running faster is raising eyebrows.
by noslenwerdna | 2026-03-11 18:23:41+00:00
Asymptotic Safety also predicted the higgs mass (126 GeV vs the measured value of 125 GeV). https://arxiv.org/abs/0912.0208

The trick is, at that time most of the possible mass range was excluded experimentally, so it is a bit less impressive. I'm not sure how much tuning went into it (possibly none)
by SoftTalker | 2026-03-11 18:23:49+00:00
Yes this has been the motivation for decades. There has always been a language, methodology, or system being hyped that promised to eliminate the need for trained programmers. Why? Because they are expensive.

Digital computers were cheaper than the legions of human "calculators" that they replaced, but once those savings were realized, the next step was to attack the smaller number but still expensive per head staff of programmers you needed to get the most value out of a computer.
by shubhamintech | 2026-03-11 18:24:26+00:00
IMO the under-discussed risk here is that sites will start serving different content to verified crawlers vs real users. You're already seeing it with known search bots getting sanitized views. If your agent's context comes from a crawl the site knows is going to an AI, you have no guarantee it matches what a human sees, and that data quality problem won't surface until your agent starts acting on selectively curated information.

This could go wrong on same levels.
by 85392_school | 2026-03-11 18:24:40+00:00
This isn't a new observation [0] but this means Google will now have two Wizes, since Wiz is also the name of their internal web framework [1].

[0] https://news.ycombinator.com/item?id=43399077

[1] https://news.ycombinator.com/item?id=41092039
by jfengel | 2026-03-11 18:24:51+00:00
The USA threads the needle by simply not having verifiable voting. And it turns out it works pretty well. Despite countless hours and lawsuits dedicated to finding people who voted more than once, only a handful of cases have actually turned up.

It's not that there are no checks. You have to give your name, and they know if you've voted more than once at that station that day. To vote more than once you'd have to pretend to be somebody else, in person, which means that if you're caught you will go to jail.

We could certainly do better, but thus far all efforts to defeat this non-problem are clearly targeted at making it harder for people to vote rather than any kind of election integrity.
by Heliodex | 2026-03-11 18:25:00+00:00
> Further there’s no App Store cut when people buy this stuff on PC.

Plenty of PC Roblox users use a version of Roblox downloaded through the Microsoft Store, whom charge a 12% cut on all money spent on gaming apps <https://learn.microsoft.com/en-us/windows/apps/publish/publi...>. The only place where no app store cut applies is when purchasing Roblox products through the non-Microsoft Store PC app or through the website. Surprise, doing this gets the user ~20% more Robux than buying through an app store <https://www.roblox.com/upgrades/robux>.

If a user buys Robux through a platform where the app store fee isn't charged, then it isn't charged to developers either because the user will receive, and thus spend, more Robux. Creator rewards work differently to ensure that developers owning experiences played primarily by app store users aren't unfairly punished by this <https://create.roblox.com/docs/creator-rewards>.
by joe_the_user | 2026-03-11 18:25:34+00:00
I agree but I'd also note that a capital owner actually has a couple motivations to get rid of high paid labors.

1) Cost

2) Flexibility. If you can hire random laborers to do most of your tasks, you can quickly scale up whereas if you depend on highly skilled and trained workers, starting a new operation elsewhere is hard. Similar, you can shift activity around, are less impeded by the opinions of workers, etc. Significantly, this may allow you to "franchise" your operations in various ways.
by varispeed | 2026-03-11 18:25:55+00:00
In my opinion PC industry is also cooked because of fans. I simply cannot use any recent PC laptop, because the moment you do something it engages fans in the most obnoxious way.

Every time someone turns on their PC laptop next to me, my ears feel assaulted.

My Mac does engage fans from time to time, but I never notice the noise.
by drdaeman | 2026-03-11 18:26:26+00:00
In my naive understanding, neither requires any will or consciousness.

S1 is “bare” language production, picking words or concepts to say or think by a fancy pattern prediction. There’s no reasoning at this level, just blabbering. However, language by itself weeds out too obvious nonsense purely statistically (some concepts are rarely in the same room), but we may call that “mindlessly” - that’s why even early LLMs produced semi-meaningful texts.

S2 is a set of patterns inside the language (“logic”), that biases S1 to produce reasoning-like phrases. Doesn’t require any consciousness or will, just concepts pushing S1 towards a special structure, simply backing one keeps them “in mind” and throws in the mix.

I suspect S2 has a spectrum of rigorousness, because one can just throw in some rules (like “if X then Y, not Y therefore not X”) or may do fancier stuff (imposing a larger structure to it all, like formulating and testing a null hypothesis). Either way it all falls down onto S1 for a ultimate decision-making, a sense of what sounds right (allowing us our favorite logical flaws), thus the fancier the rules (patterns of “thought”) the more likely reasoning will be sounder.

S2 doesn’t just rely but is a part of S1-as-language, though, because it’s a phenomena born out (and inside) the language.

Whether it’s willfully “consciously” engaged or if it works just because S1 predicts logical thinking concept as appropriate for certain lines of thinking and starts to involve probably doesn’t even matter - it mainly depends on whatever definition of “will” we would like to pick (there are many).

LLMs and humans can hypothetically do both just fine, but when it comes to checking, humans currently excel because (I suspect) they have a “wider” language in S1, that doesn’t only include word-concepts but also sensory concepts (like visuospatial thinking). Thus, as I get it, the world models idea.
by ativzzz | 2026-03-11 18:26:27+00:00
Still waiting for these software factories to solve problems that aren't related to building software factories. I'm sure it'll happen sooner or later, but so far all the outputs of these "AI did this whole thing autonomously" are just tools to have AI build things autonomously. It's like a self reinforcing pyramid.

AI agents haven't yet figured out a way to do sales, marketing or customer support in a way that people want to pay them money.

Maybe that won't be necessary and instead the agent economy will be agents providing services for other agents.
by nonameiguess | 2026-03-11 18:26:52+00:00
I feel like you were done dirty. When I was in grad school 12 years ago, our networking classes used mininet to simulate networks on a single host. It's mostly meant for developing SDN systems, but probably would have met your needs and supports way more.

On the other hand, building even a tiny subset but doing it yourself from scratch is a great way to learn. I made a very poor man's VM image builder for HyperV years back because Packer didn't have a builder for it at the time and that was a pretty interesting experience. Finally grokked the Windows object model and even though I still don't use it, I at least no longer jeer at PowerShell.

I'm interested in the answer to your question, too, but as a customer of an ISP. I don't work for one. I was the first owner of my house and when they hooked me into their network, whoever did messed up my neighbors badly, putting them on the wrong circuit and bleeding noise into adjacent neighborhoods. For three years, complaint calls would get our network cut by third-party contractors with no warning, then we'd have to call and get it reconnected. I don't know how they're supposed to do it, but know it can cause quite a mess when they do it wrong.
by hsuduebc2 | 2026-03-11 18:26:52+00:00
From my point of view, people are angry at ICE not mainly because deportations exist, but because of the methods being used, and those methods are clearly encouraged from above. Who else would be responsible, if not the policymakers themselves?

You can argue about whether immigration was a real problem or mostly fearmongering. In that case, any realistically achievable level of deportations under the previous administration would probably have been dismissed as insufficient anyway so the outcome would the same. But if policymakers deliberately loosen rules, they can be blamed for the consequences.

It is no different from weakening medicine purity standards and then acting surprised when people die. In that case, responsibility clearly falls on the people who made the policy too.

It may sound blunt, but assigning blame is a normal part of politics. Politicians are there to make decisions, and they should be praised or blamed for the results.
by abdullahkhalids | 2026-03-11 18:27:32+00:00
GP already said.

> eVoting cannot be understood and audited by normal citizens, not even by nerdy ones.

I suggest you explain the verifiability of evoting systems to your grandma or your friend with an art degree. Then ask them to explain the same to their peer while you just listen. Then repeat the exercise with paper voting. You will see the difference.
by webpolis | 2026-03-11 18:27:45+00:00
Freezing JS execution between actions is the right call. Most CDP-based agent setups break because the DOM keeps mutating while the model reasons about the last screenshot. The "multimodal chat loop" framing maps cleanly to how agent frameworks already structure tool-use cycles.

Worth flagging: a forked Chromium with frozen-state semantics will behave differently from stock Chrome, and fingerprinting libraries will notice. We run browser automation on ephemeral cloud desktops at Cyqle (https://cyqle.in) and keeping the browser environment consistent across sessions was its own fight. Curious if ABP exposes hooks for controlling OS-level context — display resolution, font rendering, timezone — since those affect agent reliability almost as much as DOM staleness.
by acuozzo | 2026-03-11 18:27:55+00:00
The topical reply is that those positions aren't paying enough.

However, if we have to pay e.g. miners millions to compete with a high UBI, we trigger a massive wage-price spiral. Since extracted raw materials are the bedrock of the entire supply chain, those costs cascade and multiply, eventually making the finished goods unaffordable for the very people receiving the UBI.

In reality, markets don't solve the scarcity of un-fun labor through magic efficiency. They solve it by leveraging debt, poverty, and an exploitable lower class to keep the foundational costs of society artificially low.

Without this DesperationFloor™, the math of our current commodity-based economy falls apart.
by darth_aardvark | 2026-03-11 18:28:14+00:00
https://en.wikipedia.org/wiki/List_of_companies_of_Israel#W

There's 5 of them, two of which happen to have been acquired by Google. Fair to say it's likely a coincidence.

Interestingly, they all use "vav vav" as the start of their Hebrew names. "Vav" is the hebrew letter for V, so it's kind of like using VV to represent W.

Maybe you're right, and it's a stylistic thing! My knowledge of Hebrew ends in Hebrew school, and that mostly focused on blessing and prayers over startup naming.
by onion2k | 2026-03-11 18:28:26+00:00
Part of this is jealousy (yes, I said it)

It's not jealousy though. It's seeing an operational bottleneck as inefficiency. If you know what you want and you have to go through someone else to get it, that's frustrating, so you look for ways around it. AI is a way around software engineers.

The key to remaining usefully employed is not to be the bottleneck. If it's faster for someone to get to a solution with a software engineer than without a software engineer then you will remain employed. This is largely irrespective of cost - generally speaking spending money on a salaries to go faster is always better so long as you're actually going faster.
by greenwallnorway | 2026-03-11 18:28:31+00:00
Engineers are running 8 instances of Claude Code at once. That doesn't mean they are completing work 8x faster.

If you must hold the context for 8 agents in your head at once, your expertise as an engineer is wasted.

See https://emsh.cat/one-human-one-agent-one-browser/ - One man + one agent in 72 hours, did better than thousands of agents over weeks.

Staying focused on one or two important tasks still works. You won't fall behind.
by kanbara | 2026-03-11 18:28:32+00:00
people aren’t saying “aks” to make a public statement against you for whatever reason. they’re saying it because that’s how they learned to speak and the dialect of speakers who they were surrounded with.

yeah, people code switch, but i have come across many many people who just say things differently from the majority pronunciation. they’re not misunderstood and they can communicate just fine (see nucular vs nuclear). that’s just how language works, right
by mrieck | 2026-03-11 18:28:35+00:00
I've had that problem with my free Chrome extension: (bring your own fal.ai key)

https://chromewebstore.google.com/detail/ai-slop-canvas/dogg...

To be honest it doesn't take long to add a new model/params. It's evaluating the models to see if they're even worth including that takes the most time.
by lovich | 2026-03-11 18:29:41+00:00
> Replicating work is far more difficult than a lot of original work.

I don’t regularly read scientific studies but I’ve read a few of them.

How is it possible that a serious study is harder to replicate than it is to do originally. Are papers no longer including their process? Are we at the point where they are just saying “trust me bro” for how they achieved their results?

> Do you want issues of Nature and cell to be replication studies?

Not issues of Nature but I’ve long thought that universities or the government should fund a department of “I don’t believe you” entirely focused on reproducing scientific results and seeing if they are real
by kentonv | 2026-03-11 18:29:53+00:00
You can trivially block Cloudflare crawl via robots.txt. You don't need to buy Cloudflare's bot protection -- this is not a malicious bot.

https://x.com/CloudflareDev/status/2031745285517455615

(Disclosure: I work for Cloudflare but not on this product. I get pretty tired of the conspiracy theories TBH.)
by m3047 | 2026-03-11 18:30:01+00:00
Updated Date: 2026-03-11T07:13:31Z
Creation Date: 2001-03-09T23:23:30Z
Registry Expiry Date: 2027-03-09T23:23:30Z

There is also this:

https://www.infoblox.com/blog/threat-intelligence/abusing-ar...
by h1r1ms | 2026-03-11 18:30:06+00:00
GitHub: https://github.com/itsamruth/subagent-reuse

Blog post with full context: https://medium.com/@itsamruth/stop-burning-tokens-how-to-use...

I built this after noticing a painful pattern with Claude Code: every new subagent (planner, explorer, implementer, fixer) would re-read the same files from scratch — burning hundreds of tokens each time on files like src/auth/callback.ts.

subagent-reuse solves it by automatically scanning Claude's native session storage (~/.claude/projects/) and tracking exactly which files each subagent has already read and modified. It builds a SHA-256 Merkle tree per agent for fast lookup.

Before spawning a subagent, it runs route_task(task, files).
- Strong file overlap → REUSE the existing agent
- File changed since last read → staleness warning (only re-read what's needed)
- No good match → CREATE_NEW + summaries of existing agents so Claude can decide

I kept routing purely structural (file overlap + directory + recency). No embeddings or word matching — the calling LLM is better at semantics anyway.

Install (one command):

npx subagent-reuse --setup

It adds the MCP and auto-approves permissions.

This is part of a small stack I'm using to make Claude Code dramatically more efficient (routing + semantic search + memory).

Code is ~1000 lines of vanilla JS with 52 tests.

Would love feedback especially on the routing approach — is staying purely structural the right decision, or should I add something smarter when the task doesn't specify file paths?

Happy to answer any questions!
by bigyabai | 2026-03-11 18:30:25+00:00
> It's amazing someone can post that without the slightest hint of self-awareness.

It's amazing that people attribute it to lacking self-awareness. You can spend $400 on a laptop and have a perfectly fine experience. There are damn good Chromebooks in the $200-300 territory that I can genuinely recommend to people. If you just need to do your taxes or answer a Zoom call, why would you get a Macbook Neo?

macOS itself has been declining in quality since at least Mojave; people don't rave about it anymore. The Macbook Neo will 100% continue the trend of people showing up at Best Buy and comparing the Lenovo machine to the Mac that costs 3x as much. This will not sway the average Joe any more than the Macbook Air did. It's not even seriously competing with the iPad price bracket that might tempt students.
by deepsun | 2026-03-11 18:30:33+00:00
Counterpoint -- capital owners see SWEs as their asset, and owners do not like to see their assets go away (with intellectual property in their heads). So they nurture and give a lot of freedom to their SWEs.

I've seen both ways, and don't share the "capital owners BAD" sentiment. The first thing to join a company is to see whether they assign Eng department to Costs or to Assets mentally.
by chris-d | 2026-03-11 18:30:44+00:00
For thirty years, a failed ERP could be buried inside an architecture diagram. A failed AI chatbot gets screenshotted and forwarded to the board before lunch. That's the shift this piece is about.

But the part I find more interesting is the second fear – not that AI fails visibly, but that it succeeds visibly. A system that genuinely compresses legal review time or automates reporting doesn't just create efficiency. It makes existing roles and empires contestable. And that's when the corporate immune system kicks in: it won't be compatible, it can't be done here, it will take years, it's probably illegal, who takes responsibility.

The result is what I call the controlled mediocrity trap – organisations deploying AI that's good enough to avoid embarrassment but not so effective that it threatens anyone. 74% of CIOs in Dataiku's 2026 survey regretted at least one major AI platform decision. I think a lot of that regret is political, not technical.

I suspect this is more common than people admit...