MurphyA/hacker-news huggingface dataset:
by xnorswap | 2026-02-10 12:59:22+00:00
I was specifically thinking of the "Metric Martyrs" who were jailed over refusing to display weights and measures in metric.

The law requiring metric didn't actually come into force until 2000, these cases were early 2000s. Note that the law to this day still allows for imperial measurements to also be displayed, but they wanted to display in solely imperial.

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

The situation another 20 years later is rosier, even the boomers have spent most their adulthood with metric, and they're dying off now.
by darkwater | 2026-02-10 12:59:41+00:00
I know, and letting an agent/LLM "think" about some ideas does not waste your time either. Yes, it "wastes" energy and you need to read and think about the results after, we don't have neural interfaces to computer, so the inner thinking feedback loop will always be faster. But I keep thinking GP comment was unfair: you can just keep judging on whether an idea is good or not by sitting onto it for a while exactly the same, and after that time "discuss" it with an LLM, or ask it to implement the idea because you think it's solid enough.
by thegrim000 | 2026-02-10 13:00:04+00:00
"Eight more months of Bitcoin. It's usage continues to dramatically expand. The amount of transactions is increasing exponentially. Soon, fiat currencies will collapse, all replaced by Bitcoin transactions. If you haven't converted your assets over to Bitcoin you're going to be left behind and lose it all. I can't even understand people that don't see the obvious technical superiority of Bitcoin, such people are going to go through rough times."
by bayindirh | 2026-02-10 13:00:11+00:00
Manufacturers like Ferrari, Porsche and Lotus focus on HP per KG. This is why they build ultralight versions of their cars. Porsche's 911 GT series trade glass windows with plexiglass and badges with stickers. Ferrari omits carpets and inner body panels leaving welds bare. Lotus re-invents everything make things lighter and with less material.

Mercedes, Bentley and Bugatti likes to build road missiles. Fast and comfortable, luxurious cars with insane straight line performance and stats, but not made to be thrown from corner to corner in a track. Since these cars are heavier and have somewhat higher center of gravity, they can't pull bigger G numbers on skid pads and tracks.

If you want to go to the edge of it, see McLaren and Pagani. They take the track-optimized, lightweight car design to extremes. Esp. McLaren.
by throw0101c | 2026-02-10 13:00:22+00:00
> The history of journalism is written by journalists, often in a self-serving way. You'll be hard-pressed to pinpoint the purported golden age of impartial truth-seeking.

We generally assume that there is an external reality that can be observed and understood. When someone 'consumes' journalism, how well does that reporting reflect the external reality? How well do people's perceptions match up with what physically happened?

For example: in November 2020 there was an election. Who got more votes, both in the popular vote and in the various states individually that counts towards the Electoral College? Who "won" the election?

It turns out that some news organizations—even with any biases—allow their readers/viewers to have a better picture of reality than others:

* https://archive.is/https://www.businessinsider.com/study-wat...

* https://portal.fdu.edu/fdupoll-archive/knowless/final.pdf

* https://portal.fdu.edu/fdupoll-archive/confirmed/final.pdf

* https://www.fdu.edu/academics/centers-institutes/fdu-poll/
by lapcat | 2026-02-10 13:00:23+00:00
I’m not sure your analogy is applicable here.

The introduction of the App Store did not increase developer productivity per se. If anything, it decreased developer productivity, because unless you were already already a Mac developer, you had to learn a programming language you've never used, Objective-C, and a brand new Apple-specific API, so a lot of your previous programming expertise became obsolete on a new platform. What the App Store did that was valuable to developers was open up a new market and bring a bunch of new potential customers, iPhone users, indeed relatively wealthy customers willing to spend money on software.

What new market is brought by LLMs? They can produce as much source code as you like, but how exactly do you monetize that massive amount of source code? If anything, the value of source code and software products will drop as more is able to be produced rapidly.

The only new market I see is actually the developer tool market for LLM fans, essentially a circular market of LLM developers marketing to other LLM developers.
by kjksf | 2026-02-10 13:00:28+00:00
That's a silly bar to ask for.

Chrome took at least a thousand man years i.e. 100 people working for 10 years.

I'm lowballing here: it's likely way, way more.

If ai gives 10x speedup, to reproduce Chrome as it is today would require 1 person working for 100 years, 10 people working for 10 years or 100 people working for 1 year.

Clearly, unrealistic bar to meet.

If you want a concrete example: https://github.com/antirez/flux2.c

Creator of Redis started this project 3 weeks ago and use Claude Code to vibe code this.

It works, it's fast and the code quality is as high as I've ever seen a C code base. Easily 1% percentile of quality.

Look at this one-shotted working implementation of jpeg decoder: https://github.com/antirez/flux2.c/commit/a14b0ff5c3b74c7660...

Now, it takes a skilled person to guide Claude Code to generate this but I have zero doubts that this was done at least 5x-10x faster than Antirez writing the same code by hand.
by d4rkp4ttern | 2026-02-10 13:00:48+00:00
Same here. I haven’t found an ASR/STT/transcription setup that beats Parakeet V3 on the speed/accuracy tradeoff spectrum: transcription is extremely fast (near instant for a couple sentences, 1-3 seconds for long ramblings), and the slight accuracy drop relative to heavier/slower models is immaterial for the use case of talking to AIs that can “read between the lines” (terminal coding agents etc).

I use Parakeet V3 in the excellent Handy [1] open source app. I tried incorporating the C-language implementation mentioned by others, into Handy, but it was significantly slower. Speed is absolutely critical for good UX in STT.

[1] https://github.com/cjpais/Handy
by funkyfiddler369 | 2026-02-10 13:01:02+00:00
I am moderately certain that this only happens in laissez-faire cultures.

If you deviate from the sub-cultural norms of Wall Street, Jahmunkey, you fucked.

It's fraud or nothing, baby, be sure to respect the warning finger(s) of God when you get intrusive thoughts about exposing some scheme--aka whistleblowing.
by rishi_blockrand | 2026-02-10 13:01:18+00:00
Most "provably fair" games today rely on a commit-reveal model that has a subtle flaw: the server chooses its seed hash privately. This allows for a "Seed Grinding" attack where the house pre-computes millions of outcomes and commits only to the seed that favors them.

I wrote this post to explain how to close that gap using public entropy beacons (Drand). By tying the outcome to a future Drand round that neither the player nor the server knows at the time of commitment, you get a trustless result without needing a slow blockchain.

Live Demo (Dice Roll): https://blockrand.net/live.html

The logic is simple: Hash(Player_Seed : Server_Seed : Future_Drand_Sig).

I’ve written a deep dive on why traditional commitment schemes have a "last-mover advantage" and how this triple-mix eliminates it. Would love to hear the community's thoughts on the trade-off between the 10s settlement delay and the added security.
by morajabi | 2026-02-10 13:02:04+00:00
You're correct. TBH I didn't want to spend time on the website more than a waitlist, instead focused on building the app. I intended the Github readme to show more about the project and I post updates with screenshots on Twitter/X.
I'm putting up a docs page today to incrementally add more information about the roadmap, vision, Bot SDK, API docs, etc.
Anything in particular you're curious about?
by pbronez | 2026-02-10 13:02:11+00:00
Agent sandboxing is an important problem. I want to deploy agentic AI to everyone at my enterprise and security is the big blocker.

Credential scanning seems tractable. There’s a large body of work around scanning for credentials in repos to prevent leakage via GitHub.

If speed really matters, you could minimize the patterns you check by integrating credential management. By definition, you know all the secrets you’re trying to protect. Look for _exactly_ those rather than regex which try to enumerate the general case.

Still, solving credential leakage is necessary but not sufficient. There’s other sensitive information in your context: customer contact information, costs & pricing, snarky slack conversations. That stuff could show up anywhere online your agent can post. Like Google Reviews.

The structural problem is that Enumerate Badness is always incomplete but it’s impossible to Enumerate Goodness for a generative system. The only solution I see is to allowlist resources at the network level and assume 100% cross contamination.

This article helped shape my thinking on this topic:

The Six Dumbest Ideas in Computer Security

https://www.ranum.com/security/computer_security/editorials/...
by ninalanyon | 2026-02-10 13:02:38+00:00
> puts you (and the cars behind you) in a less-safe situation than if you followed more closely.

Really? All you have to do is lift your right foot very gently until you have the expected spacing again, no need to sudden changes of speed and if you have traffic aware cruise control it will be done for you. My old Tesla S does it pretty well. I keep it set to three second spacing and when someone cuts in front my car just gently slows down until the spacing is correct again; it doesn't brake unless the car that cuts in is very close.
by popcar2 | 2026-02-10 13:02:40+00:00
I was considering making a similar list since I was very interested in checking out alternative chat programs, but I have to say this list isn't that good. A lot of the alternatives here aren't ACTUALLY Discord alternatives.

Most people use Discord for its community features and being able to join massive servers with 1+ million people, follow news, talk in forums, etc... It also has a lot of features people hand-waive like a really good roles system, moderation and server management tools, a bot ecosystem, etc.

Signal is a Whatsapp alternative for 1-on-1 chats with friends and small groups.

Rocket chat is a Slack alternative for people wanting to host a server for a community. It's not a platform, you need to register and login to each server manually.

I haven't used Zulip but AFAIK it's like Rocket Chat.

Ditto on Mattermost.

Discourse is a forum.

Stoat is basically the only thing here that actually competes on Discord and it's really barebones. There isn't a genuine Discord alternative because it turns out it's really hard (and expensive!) to do what it does, kind of like a Youtube alternatives scenario.
by vusaldev | 2026-02-10 13:03:24+00:00
I’m a 17yo student. I built Focus Ticker because normal timers were too boring for my ADHD.

The Concept: You found one in-game startup. Every focus session grows your lifetime valuation. If you leave the app, your stock crashes.

Features:

- App Blocking (no doomscrolling)
- Live Widgets
- Long-term Valuation tracking
- Leaderboards
- Smart Notifications
by simonw | 2026-02-10 13:03:43+00:00
OK, I think I get it.

Your primary argument here is that it's better to sit with ideas for a while before writing about them.

My counter-argument is that's what I do... for my long form writing (aka "entries"). My link blog is faster reactions and has different standards - while I try to add value to everything I write there it's still a high volume of content where my goal is to be useful and accurate and interesting but not necessarily deep and thoughtful.

And yeah, you're absolutely right that the speed at which I comment here is that same thing again. I treat comments like they were an in-person conversation. They're how I flesh out ideas.

I wrote about my philosophy around blogging in one of my long-form pieces a few years ago: https://simonwillison.net/2022/Nov/6/what-to-blog-about/

> I’ve definitely felt the self-imposed pressure to only write something if it’s new, and unique, and feels like it’s never been said before. This is a mental trap that does nothing but hold you back.

That's why I like having different content types - links and quotes and notes and TILs - that reduce the pressure to only publish if I have something deep, thoughtful and unique to say.
by nathan_douglas | 2026-02-10 13:04:36+00:00
All Watched Over By Machines Of Loving Grace (Richard Brautigan)

I like to think (and
the sooner the better!)
of a cybernetic meadow
where mammals and computers
live together in mutually
programming harmony
like pure water
touching clear sky.

I like to think
(right now, please!)
of a cybernetic forest
filled with pines and electronics
where deer stroll peacefully
past computers
as if they were flowers
with spinning blossoms.

I like to think
(it has to be!)
of a cybernetic ecology
where we are free of our labors
and joined back to nature,
returned to our mammal
brothers and sisters,
and all watched over
by machines of loving grace.
Show HN: GitScrum MCP Server for Claude and AI Assistants
by renatomarinho | 2026-02-10 13:04:41+00:00
GitScrum MCP Server brings Model Context Protocol support to GitScrum, enabling Claude, GitHub Copilot, Cursor, and other AI assistants to manage your tasks, sprints, time tracking, user stories, epics, and more.

Built with TypeScript. Currently has 1 star – would love your feedback and contributions!
Show HN: MemOS OpenClaw plugin is now live
by MemTensor | 2026-02-10 13:04:47+00:00
MemOS OpenClaw Plugin is now live!
KEY FEATURES:
Personal & memory-driven — recalls past interactions from MemOS Cloud and adapts to your workflow.
Secure & local-first — runs on your machine, memories in the Cloud under your control.
Token-smart — offloads memory to MemOS, reducing LLM calls and saving costs vs plain OpenClaw.
Plug-and-play — install, enable, restart, and your agent is ready. No complex setup.
by tzury | 2026-02-10 13:04:49+00:00
I would learn more about air combat by listening to a 12 minutes conversation with a jet fighter pilot, than I will from 3-day seminar by air force journalists.

Tell me about what’s the LLM impact on your work, on account your work is not wiring about AI.

Or if one wish for a more explicit noise filter: Don’t tell me what AI can do. Show me what you shipped with it that isn’t about AI.
by windexh8er | 2026-02-10 13:05:06+00:00
The opposite is also true. People often follow people off of a (figurative) cliff because that's what everyone is doing. We have copious toxic online communities to show for that. Most of the conversations around AI are falling into that type of cultish aspect. Look no further than YouTube to find how many born-again-AI-zealots emerged with ClawdBot/MoltBot/OpenClaw. It's just not as obvious in the blogosphere. The thing that is obvious is the constant "findings" that are nothing more than opinions. There's no historical evidence you won't change your mind in 10 minutes. And that's why I feel, as I read them, that these types of blog posts are foundationally built in sand.
by tarasm | 2026-02-10 13:05:07+00:00
JavaScript has async/await, but it still lacks structured concurrency.

That gap shows up as ad-hoc cancellation, fragile cleanup, and async code that no longer behaves like synchronous code once things get even slightly complex.

This post argues that the missing piece isn’t a heavier abstraction, but a small runtime polyfill for structured concurrency: scoped lifetimes, parent/child tasks, and guaranteed cleanup.

Is JavaScript ready for structured concurrency?
by cultofmetatron | 2026-02-10 13:05:36+00:00
This is absolutely disturbing. While I fully advocate allocating resources to stop child sexual abuse and the pornographic material created during such crimes, no one was hurt here. this was a written story fabricated from the author's mind. Now we're on the very of though crime.

> Amanda was 10 years old. she went into the bathroom and had sex with a 30 year old man.

I think it would be ridiculous to say that the above sentence is on the same level as creating or distributing CSAM. Yet the predication of the argument is that the story conjured csam in the user's mind. Basically thought crime.
by za_creature | 2026-02-10 13:06:21+00:00
Github: https://github.com/luckyPipewrench
> Pipe-layin' mastermind, code slayer supreme. Typin' fire across the screen, layin' pipe through the night. Bustin' blockages and bugs with no mercy.

HN:
> created: 1 day ago

https://asciinema.org/~user%3A281302
> Joined on February 9, 2026

pipejosh is totally a real person!

Because a plumber would definitely first and foremost plug his AI software and not his plumbing company, which definitely exists!

How does this make it to the frontpage in <1 hour from posting?

P.S. https://pipelab.org/ has a bad cert
by Yizahi | 2026-02-10 13:06:28+00:00
Not quite. You are describing "kinds of ethics" after ethics is an already established concept. I.e. actual examples of human ethics. Now the question is who defines ethics as concept in general. Humans can have ethics, but is it applicable to the computer programs at all? Sure, programs can have programmed limitations, but is that called ethics at all? Does my Outlook client has ethics, only because it has configured rules? What is the difference between my email client automatically responding to an email with "salesforce" mentioned and an LLM program automatically responding to a query with the word "plutonium"?
by DiscourseFan | 2026-02-10 13:06:33+00:00
This reminds me of those cases where British people were getting arrested for their social media posts. Seems to be part of the fabric of Anglo society, that certain norms are not to be crossed. I think this case is especially strange, however, considering that Lolita is a story about a man sexually abusing a child. But that was published in the United States.
Show HN: Pingui Alert – dead simple Telegram alerts from your code
by juanvidev1 | 2026-02-10 13:06:40+00:00
Hi HN,

I built Pingui Alert because I kept overengineering alerting for small projects.
I didn’t need dashboards, charts or complex configs — I just needed a Telegram
message when something important broke.

Pingui Alert is:
- One API call → Telegram alert
- Open source & self-hostable
- Queue-based (Redis)
- No log storage, no PII

It’s meant for things like:
payment failures, disk space alerts, failed backups, security events.

There’s a public bot with a small daily limit, or you can self-host it.

GitHub: https://github.com/juanvidev1/pingui-alert
Live: https://pingui-alert.dev

I’d really appreciate technical feedback — especially what feels unnecessary
or what you’d simplify even more.
by d4rkp4ttern | 2026-02-10 13:07:01+00:00
I use the open source Handy [1] app with Parakeet V3 for STT when talking to coding agents and I’ve yet to see anything that beats this setup in terms of speed/accuracy. I get near instant transcription, and the slight accuracy drop is immaterial when talking to AIs that can “read between the lines”.

I tried incorporating this Voxtral C implementation into Handy but got very slow transcriptions on my M1 Max MacBook 64GB.

[1] https://github.com/cjpais/Handy

I’ll have to try the other implementations mentioned here.
Show HN: Open-source agent skill that automates SOC 2 audit prep
by taoh | 2026-02-10 13:07:15+00:00
Hi HN,

SOC 2 audit prep costs 20K/year, so I wrote a Agent skill to automate most of it. It goes beyond policy generation from templates by leveraging the abilities to access your codebase:

- asks contextual questions about your company and specifics about each policy
- scans your source code
- uses aws, azure-cli, gcp to check your cloud infra
- writes shell scripts to fetch configs from your SaaS: Okta, Datadog, PagerDuty, Jira etc.

As a result you get:

- A set of policy documentation tailored to your company
- All evidences are automatically versioned with your repo
- Automatic evidence collection through Github Workflow Actions
- Leverage Claude Code to add new integration scripts easily
- No secrets leave your environment

This is targeted at small companies and startups who’d rather spend an afternoon with an agent than $20K/year on a compliance platform. It doesn’t replace the auditor and various aspects of compliance platforms, but handles a good trunk of the grunt work for free.

Some design choices I made: Each evidence collection script is a readable shell you can run locally: make it easy to unit test each script rather than relying on runtime agents. Organize frameworks & integrations so it’s easy to add new ones. Progressive Disclosure: only load context when needed

Repo: https://github.com/screenata/compliance-automation

Demo Video: https://www.youtube.com/shorts/EevpE6bKwhA

I'd love your feedback on:

If you’ve been through SOC 2, what controls were hardest to evidence?

PRs with new frameworks, evidence collection scripts with your SaaS tools

What would you like to see next
by jll29 | 2026-02-10 13:08:14+00:00
Although dogs can see violet better than humans, the sky appears blue to them like it does to us, not violet (despite violet being closer to the resonance frequency of N and O atoms).

That's because dogs only have two types of cones (color receptors) in their eyes, blue and yellow, not three as we do, so they see violet as blue.

Therefore, the sky is blue to us and to dogs, but for different reasons!
by AndrewHampton | 2026-02-10 13:09:36+00:00
We've been experimenting with various skills and MCPs in our day-to-day Ruby development at Poll Everywhere. This is the internal skill that's been most useful for preserving the context window while letting agents explore Ruby code.

It's a CLI wrapper around Ruby's Prism gem that lets the agent do this:

$ prism -o app/models/user.rb

User < ApplicationRecord [1-75]
includes Agreeable
includes Auditable
has_many :polls
has_many :questions, through: :polls
has_many :votes
has_many :reports, dependent: :destroy
#audit_create [41-43]
#allowed_to_participate_in?(poll) [45-66]
#restricted_from_participation_in?(poll) [68-70]
#recently_created? [72-74]

$ prism -m 'recently_created?' app/models/user.rb

=== METHOD: recently_created? ===
Lines 72-74:
def recently_created?
created_at.after?(5.minutes.ago)
end

The idea is to give the agent a token-efficient way to understand what's going on in Ruby code.
by jsheard | 2026-02-10 13:09:53+00:00
Yeah, but Half Life 2's Source engine was itself a continuation of Goldsrc which was itself a continuation of the Quake 1 engine. The lineage is there but beyond a certain point it's not really Quake anymore.

GZDoom/UZDoom is a similar grey area, it is built on the original Doom codebase but they've added so many features that it's practically its own distinct engine now. Those forks can even render arbitrary 3D models, which OG idTech couldn't do until Quake.
by webdevver | 2026-02-10 13:10:08+00:00
>I wish I could share this joy with the people who are fearful about the changes agents are bringing.

The 'fear' is about losing ones livelihood and getting locked out of homeownership and financial security. its not complicated. life is actually largely determined by your access to capital, despite whatever fresh coping strategy the afflicted (and the afflicting) like to peddle.

the quality of life versus capital availability is very non-linear. there is a step-change around the $500k mark where you reach 'orbital velocity', where as long as you dont suffer severe misfortune or make mistakes, you will start accelerating upwards (albeit very slowly.)

under that line, you are constantly having to fight 'gravity'.

basically everyone in tech is openly or quietly aiming to get there, and LLMs have made that trek ever more precarious than before.