MurphyA/hacker-news huggingface dataset:
by autoconfig | 2026-02-18 16:51:41+00:00
> When creation was hard, skill was the differentiator: you had to actually be good to make something worth showing. Now the barrier is near zero, so you need reach. Reach costs money or it costs years. Probably both.

Creation has progressively been getting easier since the invention of the computer, it is not a new phenomena. This naturally pushes the boundary on what needs to be delivered in order to find paying customers. In other words, creation still is "hard" if you want to succeed.

> I launched something last week. 14 people signed up — no ads, just a couple of posts. 14 real people who didn't have to. That number is tiny and it felt like something. Then I sat down to think about what it would take to grow it and I couldn't look at that math for very long.

This applies to 90+% of founders that have ever launched something. The hard part comes from continuing to push forward when you experience this (which you will over and over). It sounds like the author expects that what was hard suddenly should be easy.
by pibaker | 2026-02-18 16:51:44+00:00
Go look at the people behind this "tech oversight" website and behold their long history of partisan campaign work.

https://techoversight.org/our-team/

> Sacha is a veteran of political campaigns all over the country and has worked at the Democratic Congressional Campaign Committee, House Majority PAC, and on Capitol Hill.

> Kyle is a strategic communicator who has served as a senior advisor to members of Congress, Democratic campaigns, and progressive organizations.

> Marjorie is a strategic communicator whose experience spans government, advocacy, and media. She has led high-impact communications campaigns and advised policymakers on key health and tech policy issues, distilling intricate topics into clear, persuasive messaging that resonates with diverse audiences.

Notice how NONE of the people in charge have any experience working with child protection, nor do they work in related fields like social work, law, law enforcement or mental health. They are political "communicators" first and foremost. In other words, they are here to push policies and they are NOT coy about it.

This is not a project led by people who actually care about "kid safety", whatever that means. This is a barely concealed astroturfing campaign run by professional campaigners trying to turn public sympathy for victims of abuse into support for censorship bills that will do nothing to prevent actual harm and everything
by jasoneckert | 2026-02-18 16:51:51+00:00
macOS is a capable UNIX, but it's not Linux - which has since become the standard platform for most cloud/web/ML development.

As a developer myself who uses Fedora Asahi Remix as my daily driver, I can also tell you that Linux runs 2x faster (often much more) for everything compared to macOS - on the same hardware! And that performance gain is also important for my work :-)
by dylan604 | 2026-02-18 16:51:51+00:00
I'm imagining some apocalyptic world Mad Max style where there are underground groups hand writing code to avoid the detection of the AI. Unfortunately, so few people are able to do it any more and the code is so bug ridden that their attempts at regaining control over the AI often ends in embarrassing results. Those left in the fight often find themselves wondering why everyone just rolled over for the machines, what, because it made their lives easier??

Maybe it's a scene from a show I've seen already??
by dnlzro | 2026-02-18 16:51:51+00:00
I think you can take Google at their word for software support though. They promised 3 years for their phones at the time, and they delivered no less.

Also, Pixel devices are very well supported by third-party ROMs after EOL: https://xdaforums.com/f/google-pixel-3a-roms-kernels-recover...
by PaulDavisThe1st | 2026-02-18 16:51:52+00:00
> YouTube must be absolutely flooded with this stuff.

I don't know what the current upload rate to YT is, but this seems unlikely. Despite the reckless and insane energy consumption associated with generative visual and audio art forms, there's no way there's enough power available for generative stuff to overwhelm the "actually recorded digital video" uploads.

Are there some niches on YT where this is true? Seems possible. YT overall? Nah.
by ack_complete | 2026-02-18 16:52:13+00:00
There are also mode switching and calling convention issues.

The way that the vector registers were extended to 256-bit causes problems when legacy 128-bit and 256-bit ops are mixed. Doing so puts the CPU into a mode where all legacy 128-bit ops are forced to blend the high half, which can reduce throughput of existing SSE2-based library routines to as low as 1/4 throughput. For this reason, AVX code has to aggressively use the VZEROUPPER instruction to ensure that the CPU is not left in AVX 256-bit vector mode before possibly returning to any library or external code that uses SSE2. VZEROUPPER sets a flag to zero the high half of all 256-bit registers, so it's cheap on modern x86 CPUs but can be expensive to emulate without hardware support.

The other problem is that only the low 128 bits of vector registers are preserved across function calls due to the Windows x64 calling convention and the VZEROUPPER issue. This means that practically any call to external code forces the compiler to spill all AVX vectors to memory. Ideally 256-bit vector usage is concentrated in leaf routines so this isn't an issue, but where used in non-leaf routines, it can result in a lot of memory traffic.
by durdanovic | 2026-02-18 16:52:17+00:00
Author here. I’ve posted two companion preprints that attempt to resolve the Voynich puzzle using rigorous *Bayesian Model Selection* rather than traditional cryptanalysis or linguistics.

*The Core Argument:*
The field has been stalled by the *"Patching Fallacy"*—the habit of salvaging linguistic or cipher hypotheses by adding unconstrained auxiliary parameters (e.g., arbitrary abbreviations, nulls, polyglot switching) whenever the data contradicts the model.

In *Paper 1* (linked above), I formalize a *"Zero-Patch Standard."* When you strictly penalize unconstrained parameters (the Occam factor in the marginal likelihood), standard "Language" and "Cipher" hypotheses are statistically inadmissible. The topology of the data (Rigid Morphology, ~58% Hapax Legomena, Sectional Disjointness) strongly favors a *Structured Reference System* ($H_{ref}$) as the information-theoretically minimal model.

*Paper 2 (The Mechanism):*
[https://www.preprints.org/manuscript/202602.0301](https://www.preprints.org/manuscript/202602.0301)

This follow-up explains why the book looks the way it does. I re-interpret the famous "Crust-Mantle-Core" morphology (Stolfi) not as grammar, but as a *Cognitive Optimization for Manual Retrieval*:
* *Prefixes:* Classifiers/Index markers (working memory limits).
* *Roots:* Visual "combination locks" for parallel search (minimizing lookup latency compared to serial phonetic reading).
* *Sectional Shifts:* Namespace partitioning to prevent key collisions in a finite symbol system.

Essentially, the VMS is likely a *Paper Database*, not a book to be read.

I’m happy to answer questions about the entropy analysis, the model selection framework, or the "Zero-Patch" standard.
by WorldMaker | 2026-02-18 16:52:30+00:00
git doesn't care what order or from which branch you tag things in. If you need to hotfix a previous release you branch from that previous release's tag, make your bugfix and tag that bugfix then merge the whole thing back to main.

Presumably you are maintaining the ordering of these releases with your naming scheme for tags. For instance, using semver tags with your main release being v1.2.0 and your hotfix tag being v1.2.1, even while you've got features in flight for v1.3.0 or v1.4.0 or v2.0.0. Keeping track of the order of versions is part of semver's job.

Perhaps the distinction is that v1.2.0 and v1.2.1 are still separate releases. A bug fix is a different binary output (for compiled languages) and should have its own release tag. Even if you aren't using a compiled language but are using a lot of manual QA, different releases have different QA steps and tracking that with different version numbers is helpful there, too.
by Angostura | 2026-02-18 16:52:31+00:00
> The truth is just that there’s no profit extraction without charity work.

I'm not actually sure what you mean by this, so I can't really assess its truthiness

> not only there isn’t a just salary for those who bear the weight of the machine, but also there’s isn’t even a salary per se.

Or this - what do you mean?

>If for you humanity is just doing seemingly nice guy work without question, call me a monster.

Not even clear what you mean by this either.
by disgruntledphd2 | 2026-02-18 16:52:33+00:00
> It's like that FT chart claiming that the rapid rise in iOS apps is evidence of an AI-fueled productivity boom.

I mean, there is evidence for some change. Personally, I'm sceptical of what this will amount to, but prior to EOY 2025, there really wasn't any evidence for an app/service boom, and now there's weak evidence, which is better than none.
by carefulfungi | 2026-02-18 16:53:00+00:00
> "The Microsoft 365 Copilot 'work tab' Chat is summarizing email messages even though these email messages have a sensitivity label applied and a DLP policy is configured."

I'd add (3) - a DLP policy is apparently ineffective at its purpose: monitoring data sharing between machines. (https://learn.microsoft.com/en-us/purview/dlp-learn-about-dl...).

Directly from the DLP feature page:

> DLP, with collection policies, monitors and protects against oversharing to Unmanaged cloud apps by targeting data transmitted on your network and in Microsoft Edge for Business. Create policies that target Inline web traffic (preview) and Network activity (preview) to cover locations like:

> OpenAI ChatGPT—for Edge for Business and Network options
> Google Gemini—for Edge for Business and Network options
> DeepSeek—for Edge for Business and Network options
> Microsoft Copilot—for Edge for Business and Network options
> Over 34,000 cloud apps in the Microsoft Defender for Cloud Apps cloud app catalog—Network option only
by tonymet | 2026-02-18 16:53:10+00:00
More power to them. But donations can’t possibly scale to the demand. They are already having significant capacity issues as evidenced to response time spikes throughout the week.

It’s a great hobby app, and the forgejo software seems well assembled, but Codeberg needs to be a bit more forthcoming about their capacity before more large projects move over.

I want to see larger projects like Gentoo migrate, but everything will come grinding to a halt if codeberg doesn’t come up with scalable resourcing (money & capacity)
by hellotomyrars | 2026-02-18 16:53:28+00:00
I think ascribing humanity to to something that isn’t human is far more dehumanizing to actual real life humans than the alternative.

I am capable of distinguishing between talking to another person and talking to an LLM and I don’t think that is hard to do.

I don’t think there is any other word than delusional to describe someone who thinks LLMs should be treated as humans.
by AnimalMuppet | 2026-02-18 16:54:26+00:00
Corporate doesn't realize that forcing people to do nothing and watch others die might be bad for morale? Corporate doesn't realize that people regularly dying in their drive through without assistance is going to be an enormously negative PR hit if it ever comes out? Corporate doesn't even realize that people dying in the drive through is going to leave their drive through plugged for a long period of time?

I am appalled. Even ignoring the cold-hearted lack of empathy, I have a hard time imagining that this is even in their best interest.
by johnnienaked | 2026-02-18 16:54:31+00:00
I mean you're half right. Companies seek to automate some of their transactional labor and reduce their overall head count, but they also want a pool of low paid labor to rotate when they do layoffs, which are usually focused on the highest paid slices of the labor chain.

There's a couple issue with LLMs. The first is that by structure they make a lot of mistakes and any work they do must be verified, which sometimes takes longer than the actual work itself, and this is especially true in compliance or legal contexts. The second is the cost. If a company has a choice to outsource transactional labor to Asia for $3 an hour or spend millions on AI tokens, they will pick Asia every single time. The first constraint will never be overcome. The second has to be overcome before AI even becomes a relevant choice, and the opposite is actually happening. $ per kwh is not scaling like expected.

My prediction is that LLMs will replace some entry level positions where it makes sense, but the vast majority of the labor pool will not be affected. Rather, AI might become a tool for humans to use in certain specific contexts.
by h0ek | 2026-02-18 16:54:36+00:00
Yeah, maybe the CEO doesn’t see any impact on productivity — but mine definitely changed.
I actually have more time for my own stuff now, because AI quietly handles part of the work for me.
Of course, if productivity is measured by how many PowerPoint slides get presented to the board, then sure — nothing changed.
Especially when HR reports say “everything looks the same” — because no one is tracking how much work is silently being offloaded to AI.
And just to avoid overworking myself, I even asked AI to write this comment so I could focus on something else in the meantime.
Show HN: RepoCrunch – Analyze any GitHub repo's health in seconds
by chillkim | 2026-02-18 16:54:37+00:00
I wanted a quick way to evaluate repos before adding them as dependencies. ChatGPT can do this, but I needed consistent JSON output for automation, something API-callable for my agents, and deterministic results (no hallucinated star counts).

So I built RepoCrunch. Point it at a GitHub URL and get structured analysis: tech stack, dependencies, architecture, health metrics, security indicators.

What I found analyzing 8 popular frameworks:

- Next.js is 13% Rust. Turbopack is a big chunk. GitHub just says "JavaScript."
- Flask has 3 open issues on 71K stars. The Pallets team runs the tightest ship in open source.
- Express is still 100% JavaScript. No TypeScript migration. Sometimes "if it works, don't fix it" is the right call.
- Go stdlib is 5.4% Assembly. Makes sense for a runtime, but you'd never know from GitHub.
- 100% GitHub Actions across every framework. Travis CI didn't show up once.

Sample output (FastAPI):

{"summary": {"stars": 94912, "license": "MIT"}, "tech_stack": {"framework": "Starlette", "key_deps": ["starlette", "pydantic"]}, "health": {"open_issues": 168, "contributors": 886, "commit_frequency": "daily"}}

Try it:

pip install repocrunch
repocrunch analyze fastapi/fastapi -p

Also has a built-in MCP server (repocrunch mcp) and REST API (repocrunch serve).

GitHub: https://github.com/kimwwk/repocrunch

Would love feedback - what metrics would make this more useful for your workflow?
by Gormo | 2026-02-18 16:54:38+00:00
> The pretext that a worker is actually a standalone small business confers another great advantage on their employers: it's a great boon to any boss who wants to steal their worker's wages.

The only pretext here is the notion that employment is anything other than a fee-for-service transaction between a supplier and a customer. Ultimately everyone in every employment context is functionally a "standalone small business".

When I see articles like this one that attempt to layer third parties' normative dogma into other people's transactional relationships, the more paranoid part of my mind makes me start thinking about who ultimately benefits from convincing people to view employment as some sort of paternalistic relationship, or to internalize "worker" as a personal identity, conceptualized as something other than "seller of services".

It's amazing to me that the very political factions whose doctrine's "motte" has always been about empowering workers to own their own means of production, set their own work schedules, decide how much or how little to work, etc. are now attacking the closest thing to those ideals that has emerged and proved economically viable in decades.

Perhaps it's precisely because it is a market-based, emergent phenomenon that minimizes the role of activists and political middlemen, whose livelihood comes from getting everyone to treat economics as an adversarial, zero-sum game. So we have people purporting to speak on behalf of gig workers, on their own authority, and contradicting what many gig workers themselves say: that they see themselves as small-scale entrepreneurs, and don't want to be shoehorned into the traditional assumptions of conventional employment in the first place.

It's just amazing to me that the people who pretend the most to be on the side of "workers" always seem to insist that the workers cede their autonomy to someone else, whether regulatory bureaucracies, centralized unions, or employers themselves, and actively seek to undermine workers' own initiatives to participate in the economy on their own terms.
by anthonypasq | 2026-02-18 16:55:33+00:00
What is up with all this nonsense about token subsidies? Dario in his recent interview with Dwarkesh made it abundantly clear that they have substantial inference margins, and they use that to justify the financing for the next training run.

Chinese open source models are dirt cheap, you can buy $20 worth of kimi-k2.5 on opencode and spam it all week and barely make a dent.

Assuming we never got bigger models, but hardware keeps improving, we'll either be serviing current models for pennies, or at insane speeds, or both.

The only actual situation where tokens are being subsidized is free tiers on chat apps, which are largely irrelevant for any sort of useful economic activity.
by embedding-shape | 2026-02-18 16:55:38+00:00
> a near-frontier model

Is Kimi K2 near-frontier though? At least when run in an agent harness, and for general coding questions, it seems pretty far from it. I know what the benchmarks say, they always say it's great and close to frontier models, but is this other's impression in practice? Maybe my prompting style works best with GPT-type models, but I'm just not seeing that for the type of engineering work I do, which is fairly typical stuff.
by AutumnsGarden | 2026-02-18 16:55:40+00:00
I’ve become the same way. Instead of specializing in the unique implementations, I’ve leaned more into planning everything out even more completely and writing skills backed by industry standards and other developer’s best practices (also including LOTS of anti-patterns). My work flow has improved dramatically since then, but I do worry that I am not developing the skills to properly _debug_ these implementations, as the skills did most of the work.
by giancarlostoro | 2026-02-18 16:55:48+00:00
I can't remember the last time I ate anywhere because of an ad. I eat out a lot too, used to uber eats nearly every single day. I wont reorder at places that mess up my order, but consistent quality I reward. Chick Fil A gives me the best service out of any fast-food restaurant, so they earn my repeat business.
by pandaman | 2026-02-18 16:55:48+00:00
> India announced they will not buy Russian oil

I am not sure where did you get this, there is no such announcement publicly available.

> but it will be difficult to get back to normal as long as Putin is alive

There won't be a return to the 1990s-2000s subservient state, which you seem to be calling "normal". Whomever comes to replace Putin is going to be way more nationalist than the guy who spent more than half of his life in the USSR, being a Party member, and working in the field of internationalist politics.
by BuddhaSource | 2026-02-18 16:56:06+00:00
I co-founded WazirX (15M users, acquired by Binance). After years watching businesses rent payment infrastructure from processors who could freeze funds or change terms overnight, I built the opposite. PayRam deploys on your server. You own everything. No one pulls the plug.

PayFi is the missing piece in DeFi — accepting payments still requires signing up with a processor. PayRam closes that gap. No signup. No KYC. Fully permissionless commerce infrastructure.

Try this prompt:
"Learn and set up crypto payments & share payment link with PayRam — use mcp.payram.com for help"

For agent builders:
Your agent can set up a web store and start accepting payments from humans — all by itself. We ship an MCP server so agents can set up payments, pull stats, and handle ops directly.

How it works:
Most payment solutions including Stripe assume users have a crypto wallet. In reality, most users start with exchanges, not wallets. PayRam uses deposit address mapping (like exchanges do) — every user gets a unique address, no "connect wallet" popups. Works whether you're paying from Binance, MetaMask, or an AI agent.

Family smart contracts sweep funds to an immutable cold wallet destination. No hot keys on your server. Even if compromised, funds route to your pre-set wallet.
The stack:

True self-hosted: SSH install, your database, your SSL — not white-labeled SaaS
Stablecoin-first: USDT/USDC on Ethereum, Base, Polygon, Tron, Bitcoin
Card payments settle in crypto for fiat on-ramps
Built with GoLang, works on small machines too

$100M+ moved, 100+ merchants. Would love feedback — especially on the agent discovery and integration side.

Cheers,
Sid
by sevensor | 2026-02-18 16:56:14+00:00
And like the article says, early computerization produced way more output than anybody could handle. In my opinion, we realized the true benefits of IT when ordinary users were able to produce for themselves exactly the computations they needed. That is, when spreadsheets became widespread. LLMs haven’t had their spreadsheet moment yet; their outputs are largely directed outward, as if more noise meant more productivity.
Show HN: I'm running ML models for PDF layout analysis entirely in the browser
by bobsingor | 2026-02-18 16:56:16+00:00
Hi HN, creator of EmbedPDF here.

I recently posted my open-source PDF viewer here, and one thing I really value is that it runs completely offline. I started wondering if we could push that further: could we do full ML layout analysis (detecting tables, headers, columns) directly in the browser?

To my surprise, it actually works.

The catch: It is far from production-ready. It crashes on most phones, and on older computers, it can be incredibly slow.

The why: I believe the future of document processing is local. Many users work with sensitive documents (bank statements, legal contracts) and simply do not want to upload them to a cloud endpoint just to parse a table or analyze layout.

This is a proof of concept for that future—where models get smaller, WASM/WebGPU gets faster, and we can keep data entirely on the client side.

Demo: https://www.embedpdf.com/layout-analysis
Repo: https://github.com/embedpdf/embed-pdf-viewer

I'd love to hear your thoughts on the performance and where you think browser-based ML is heading.
by sarchertech | 2026-02-18 16:56:48+00:00
In addition to that, what they don’t mention is that:

1. Other app stores like Google Play and Steam haven’t seen this rapid rise.

2. There are thousands maybe tens of thousands of apps that are just wrappers calling OpenAI APIs or similar low effort AI apps making up a large percentage of this increase.

3. There are billions of dollars pouring into AI startups and many of them launch an iOS app.