MurphyA/hacker-news huggingface dataset:
by runarberg | 2026-02-22 04:53:51+00:00
That is why I called it tone deaf, I admit the part about American Imperialism may have been unwarranted (may is in emphasis for a reason).

This engineer turned their nose at the bad architecture and glue code, but neglected to mention the total lack of morality from Palantir. I would argue that abandoning morality and aiding the American imperalist machine in its war against human rights and dignity, has been a much bigger reason for Palantir’s success then their lack of good engineering practice. They are willing to get paid for something most people morally object to. Lots of engineers are willing to abandon their craftsmanship if it pays well enough, few their morals.

Perhaps I read too much into this absence, in which case the post is only tone deaf, but I favor the read where this absence was intentional, in which case it is both tone deaf and American imperialist.
by wokwokwok | 2026-02-22 04:54:06+00:00
This is the way.

The practice is:

- simple

- effective

- retains control and quality

Certainly the “unsupervised agent” workflows are getting a lot of attention right now, but they require a specific set of circumstances to be effective:

- clear validation loop (eg. Compile the kernel, here is gcc that does so correctly)

- ai enabled tooling (mcp / cli tool that will lint, test and provide feedback immediately)

- oversight to prevent sgents going off the rails (open area of research)

- an unlimited token budget

That means that most people can't use unsupervised agents.

Not that they dont work; Most people have simply not got an environment and task that is appropriate.

By comparison, anyone with cursor or claude can immediately start using this approach, or their own variant on it.

It does not require fancy tooling.

It does not require an arcane agent framework.

It works generally well across models.

This is one of those few genunie pieces of good practical advice for people getting into AI coding.

Simple. Obviously works once you start using it. No external dependencies. BYO tools to help with it, no “buy my AI startup xxx to help”. No “star my github so I can a job at $AI corp too”.

Great stuff.
by thehacknews | 2026-02-22 04:54:09+00:00
Anthropic's launch of Claude Code Security marks a significant shift in the cybersecurity landscape. This AI-driven tool is designed to provide real-time threat detection, predictive capabilities, and dynamic responses to evolving cyber threats. By leveraging machine learning, Claude Code Security can autonomously learn and adapt to new security challenges, making it a powerful tool for proactive protection. However, its introduction has raised concerns among investors, leading to a drop in stock prices for major cybersecurity companies, signaling the market's uncertainty about traditional cybersecurity models in the face of AI innovation.
by silexia | 2026-02-22 04:54:53+00:00
I am a right wing Republican and this is the first thing I think I have ever vigorously agreed with Bernie Sanders on.

AI is not just a threat to your job, it is a threat to your life. Read Superintelligence.

Every time I point this out here, I get downvotes. My theory is AI bots now are major participants on HN.
by svnt | 2026-02-22 04:55:54+00:00
There is value in taking a product to market and hardening it, and no one wants to invest in something that requires headcount for cost-savings. They want upside. But if it doesn't require headcount and/or unlocks functions they have to negotiate for, and the AI can keep it online and troubleshoot, that is a different story.

Slack exists in part because ten years ago it was a lot harder for big orgs to make good/modern software.
by jopsen | 2026-02-22 04:56:30+00:00
> You have big tech oligarchs salivating at the idea of moar profits by firing a bunch of people.

For big tech to start relying on vibe coding without code reviews etc is a huge risk.

Big tech has so much red tabe preventing people from getting stuff done. Security reviews needed, etc. This inertia will hold back even a super intelligence from getting stuff done.

Some nerds in a garage trying to apply vibe coding to a problem won't have this red tape.

Red tape is necessary in big orgs because you can't have 100k people running around shipping new half broken, semi supported software with security holes. So you established release processes, approvals, code reviews, etc.

All I'm saying is: big tech is also at risk of being disrupted by AI.
by godelski | 2026-02-22 04:56:55+00:00
> the attacker could inject additional malicious commands when curl'd directly to bash

There's another issue actually. You're streaming, so ask yourself what happens if the stream gets cut prematurely. I'll give you an example, consider how this like could be cut prematurely to create major issues

rm -rf /home/theuser/.config/theprogram/build_dir

A malicious attacker doesn't need to inject code, they can just detect the stream and use a line like the above to destroy your filesystem. Sure, you might preserve root but `rm -rf /home` is for all practical purposes destroying the computer's data for most people

Or it doesn't have to be malicious. It can just happen. The best protection is writing functions since those have to be created and so can't execute until fully streamed. But so much bash is poorly written that well... just check out Anthropic's install script...

> If you're not going to then also read all the source code

Saving the source code still has a benefit. If something does go wrong you can go read it. Probably a good place to start tbh. In fact, if you're streaming and something goes wrong you'll see exactly what the early termination error did.

Is it good security practice? Absolutely not. Is it a hundred times better than curl-pipe-bash? Absolutely.
by sujee | 2026-02-22 04:57:08+00:00
Claude should have gone for native apps and demonstrated that it is possible to do anything with their AI.

I'm currently building a macOS AI chat app. Generally SwiftUI/AppKit is far better than Web but it performs bad in few areas. One of them is Markdown viewer. Swift Markdown libraries are slow and lacks some features like Mermaid diagrams. To work around this, some of my competitors use Tauri/Electron and few others use WKWebView inside Swift app.

Initially I tried WKWebView. Performance was fine and the bridge between JS and Swift was not that hard to implement but I started seeing few problems especially due to the fact that WebView runs as separate process and usually a single WebView instance is reused across views.

After few attempts to fix them, I gave up the idea and tempted to go fully with Web rendering with Tauri but as a mac developer I couldn't think about building this app in React. So I started building my own Markdown library. After a month of work, I now have a high-performance Markdown library built with Rust and TextKit. It supports streaming and Markdown extensions like Mermaid.

Most of the code was written by Claude Opus, and some tricky parts were solved by Codex. The important lesson I learned is that I’m no longer going to accept limitations in tech and stop there. If something isn’t available in Swift but is available in JS, I’m going to port it. It’s surprisingly doable with Claude.
by williadc | 2026-02-22 04:57:44+00:00
I've been thinking about this problem for quite awhile, and recently coded up something that allows for easy conversion between today's written English, and a phonetic spelling convention.

https://git.sr.ht/~dcw/iNgliS

I've created a Firefox Add-on for it as well.

https://addons.mozilla.org/en-US/firefox/addon/inglis/
by kinj28 | 2026-02-22 04:58:34+00:00
Some random thoughts —

why language would evolve ? Let’s say to make it easier and better ? And if such a case then wouldn’t that be applicable to all languages? If yes then I am a native kutchi speaker and it just a dialect. How would its history of change could even be found? But I do speak other languages like Gujarati and Hindi and I wonder if there was any evolution if those languages which have a
by hedora | 2026-02-22 04:58:47+00:00
Back in the 1990’s everyone had to have a unix workstation for unclear reasons (why not run Linux for < 10% the cost?).

There were crazy bubble economics schemes that meant doomed startups got unix boxes for free.

When the bubble popped, the workstation vendors hit a triple whammy: Inferior $/perf, unlimited used inventory at low prices, and an economic downturn.

The same exact thing is happening now, except the hardware is being jammed into data center models.

Anyway, when the bubble pops, people making affordable consumer stuff will be fine (like this CXMT company).

People that went all-in on firing all non-hyperscaler customers (like micron/crucial) will find they’re building the wrong chips for end-user devices, there is no server market anymore (for a few years), and they have a total addressable market of maybe 1000 distressed companies, globally.

I predict the people making these decisions and destroying their companies to juice Q2 2026 financial outlook numbers will genuinely be surprised when the bankruptcies start.
Show HN: LogSnap – CLI tool for analyzing logs locally
by baba_yaga070 | 2026-02-22 04:58:51+00:00
I built LogSnap while learning Python because I wanted a simple way to inspect log files locally without setting up a full monitoring stack.

It detects errors/warnings, shows surrounding context, and can export reports.

Feedback is welcome — especially from people who work with logs regularly.
by alephnerd | 2026-02-22 04:59:10+00:00
Right before the Millenium, mainstream media like the NYT was blaming the internet and "violent games like Tribe, Doom and Quake" for the Columbine Massacre [0].

[0] - https://www.nytimes.com/1999/05/02/weekinreview/the-nation-a...
by apollo_mojave | 2026-02-22 04:59:58+00:00
I was too young to understand the dot com boom when it happened, being in grade school at the time. But I do remember when smartphones became not just a luxury, but a necessity, and how amazing the iPod seemed when it first came out. It was like something out of Star Trek.

Personally, I have that feeling when I use ChatGPT. It consistently blows my mind. OpenClaw is even more incredible, and I'm certainly not any kind of power user. I'm just testing the waters.

So why not that feeling of amazement / wonder / shock / awe? If you asked me, I'd say two things: first, I think the "wonder cycle" on older products has made us a bit jaded. Consider again the smartphone. When it came out, everyone was blown away -- now, our smartphones are more like chains to work, life, etc., and all anyone can talk about is how badly they want to be rid of them (while, of course, they use them every moment of the day!).

I think there may be a bit of, "Great, another technological miracle -- how long until I hate this, too?"

Second, I think Silicon Valley / tech has lost a lot of trust over the years as an industry. I remember once upon a time really loving Google's products. But Google got creepier and creepier, less and less consumer friendly and seemingly more focused on its bottomline, and . . . now I don't use any Google products. Same with Microsoft -- growing up near Seattle, Microsoft (like Boeing) was a "cool" company. Amazon was the same way. I even had a Facebook!

And now, not only do view all of these companies with some combination of disgust / suspicious / fear, I see pretty much any new tech company the same way. I would bet a lot of people feel this way. We're just waiting for the rug pull. I think the OpenAI ad thing was probably the first time where I felt my skin crawl a bit, and I think that'll keep on happening as time goes on and corporate drift makes these AI companies just like any other company out there.

Anyway, point being, I don't know if it's really tech itself that turns people off. It's the culture, the failed expectations, the lack of trust, everything, all smushed together.
by anon-3988 | 2026-02-22 05:00:41+00:00
I tried reading but this

[begin]

#### The Paradigm Shift Brought by Palantir: Ontology as an Operational Layer

The *"Ontology"* strategy by Palantir, explained in this book, is a paradigm shift that fundamentally breaks this deep-rooted disease of silos.

In the context of knowledge engineering and the semantic web, the widely cited academic definition of "ontology" is an "explicit specification of a conceptualization" by Gruber (1993).

Furthermore, Studer et al. (1998) expanded on this, proposing the definition of a "formal, explicit specification of a shared conceptualization."

This transition from "data just for viewing" to "data that directly drives the business" is the key to true digital transformation in the AI era.

[end]

Just gave me brain damage. Please for the love of god just go straight to the point. Just give me the prompts that wrote all of this.
by turingsroot | 2026-02-22 05:01:05+00:00
I've been teaching AI coding tool workshops for the past year and this planning-first approach is by far the most reliable pattern I've seen across skill levels.

The key insight that most people miss: this isn't a new workflow invented for AI - it's how good senior engineers already work. You read the code deeply, write a design doc, get buy-in, then implement. The AI just makes the implementation phase dramatically faster.

What I've found interesting is that the people who struggle most with AI coding tools are often junior devs who never developed the habit of planning before coding. They jump straight to "build me X" and get frustrated when the output is a mess. Meanwhile, engineers with 10+ years of experience who are used to writing design docs and reviewing code pick it up almost instantly - because the hard part was always the planning, not the typing.

One addition I'd make to this workflow: version your research.md and plan.md files in git alongside your code. They become incredibly valuable documentation for future maintainers (including future-you) trying to understand why certain architectural decisions were made.
by fc417fc802 | 2026-02-22 05:01:05+00:00
The point is that emitting CO2 into the atmosphere was never the problem. Releasing geological carbon is the root cause of the entire thing.

You can certainly bury dead trees. I'm not sure how deep you'd need to go to accomplish long term (ie geological timeframe) capture. I somehow doubt the economics work out since what is all the carbon capture research even about if we could just be dumping bamboo chips into landfills?
by zippyman55 | 2026-02-22 05:01:34+00:00
The pre-historic creatures suffered incredible evolutionary pressures. While the meteor strike was undoubtably significant, other weaknesses challenged them every step of the way. Early creatures were highly vulnerable when they ate, as well as when they went to the bathroom. The early dinosaur bird, The terodactyls was extremely vulnerable to Darwinian selection pressures when the bird urinated due to the high pitched urine noise. Evolutionary pressure resulted in the development of silent urination of the pterodactyls, hence the name change and the silent “p”.
by turingsroot | 2026-02-22 05:01:36+00:00
This is a really impressive piece of systems engineering. The 3-tier adaptive caching (VRAM resident > pinned RAM > NVMe/mmap) is essentially reimplementing what the Linux kernel's page cache does, but with GPU-awareness baked in.

The 0.3 tok/s for 70B Q4_K_M on a single 3090 is slow for interactive use, but the architecture itself is what matters here. PCIe Gen3 x8 at ~6.5 GB/s is the clear bottleneck - I'd be very curious to see numbers on a Gen5 NVMe setup where sequential reads can hit 12+ GB/s. That alone could potentially double throughput.

The layer skip via cosine similarity calibration (20/80 layers skipped) is a clever trick. Reminds me of early work on adaptive computation in transformers. The quality tradeoff at threshold 0.98 would be interesting to benchmark more rigorously - for many inference tasks like summarization or classification, you could probably push that much further.

Also worth noting: zero external dependencies beyond CUDA Toolkit is a bold design choice. No cuBLAS means they wrote their own GEMM kernels, which is a massive undertaking but gives full control over the memory access patterns needed for this streaming architecture.
by godelski | 2026-02-22 05:01:44+00:00
> Because the liars who have already profited from lying will defend the current system.

Okay? And so we just have to deal with it? Give up? Throw in the towel? Not push back?

> repealing the 17th amendment

Did you read your first sentence?

*By your own logic,* the liars who have already profited from lying will appoint those who will help them defend the current system.
by WheelsAtLarge | 2026-02-22 05:01:55+00:00
Yup, my experience has been that vibe-coding is very time-consuming. It reminds me very much of how LLMs are great at creating mind-blowing images, but you get what you get. Once you decide that you need to modify the image you get, it becomes a time sink. You might be able to change it and get what you need, but there is no guarantee and it's a never ending task.

The same thing happens with code; you may get great results from your prompt, but trying to customize it will drive you nuts and you may never get what you want.

Maintenance is another hurdle. How do you maintain code you might not have the skills to maintain?

Vibe-coding may reduce software creation time, but it's not taking over software engineering. The SaaS business is going nowhere. Most people, by far, will continue to rely on someone else for their software needs. But be very aware that the software business will change. We are seeing that already.
by thrownthatway | 2026-02-22 05:04:07+00:00
You can’t.

I’m willing to give it a go.

I’ve got the excess solar from the rooftop solar panels, the electrical and electronic knowledge, and the gas fitter and metal fabrication experience.

I have an oil free air compressor, and anyone can by a helium based cryo-cooler. I have an account with an industrial gas supplier.

Just enough knowledge to be dangerous.

If Nile Red hasn’t blown his lab up by the time I publish this comment, I reckon I stand a chance.
by overfeed | 2026-02-22 05:04:13+00:00
> take a bit and read collapse

Fears of a collapse are overblown by people who underestimate the resilience of communities, and over-index on individualism, i.e. preppers.

There is no shame in being a prepper - if you're completely honest with yourself in the odds of the apocalypse you're gearing for, and perhaps after talking to your therapist about ways your childhood fears and insecurities may be showing up in your adult life.
by barelybushy | 2026-02-22 05:05:33+00:00
I have built an app that makes investing feel like Tinder. Need beta testers for 7 days. Free, no credit card, just need honest feedback.

*What it is:*

InvestSwipe - swipe through stocks/ETFs/crypto like you're on a dating app. Swipe right to invest (with fake $10K), left to pass.

*Why I built it:*

Robinhood/Webull are great if you know what you want. But how do you discover what to invest in? Most Gen Z/Millennials (including me) just end up buying whatever's trending on Reddit.

*What I need from you:*

- Use it for 7 days (doesn't have to be every day, just genuinely try it)

- Fill out feedback form at end of week

- Be brutally honest - tell me what sucks

- Tell me if you'd actually use this or if it's pointless

*Access:*

- URL: https://investswipe-demo-v1.vercel.app

- Password: TheISDemoPassWord2026!!

- 100% free, no sign-up, just a password

*Important:*

- It's a DEMO - some bugs exist (there's a disclaimer in the app)

- Paper trading only - it's fake $10K to practice with

- Some filters might crash (just refresh if that happens)

*Feedback:*

-Fill out this form with your HONEST feedback: https://forms.gle/q5uGgcSSMAyBhytg9

*Why help me?*

If this is useful, I want to build it right. If it's trash, I want to know now before wasting more time. Either way, your honesty helps.

Can be used on desktop or mobile! Try out both!
by dang | 2026-02-22 05:06:03+00:00
We need you to stop using HN primarily for political battle. It's not what this site is for, and destroys what it is for.

https://news.ycombinator.com/newsguidelines.html

This problem goes back quite a while, so please stop.

https://news.ycombinator.com/item?id=46562450 (Jan 2026)

https://news.ycombinator.com/item?id=45522257 (Oct 2025)

https://news.ycombinator.com/item?id=27752754 (July 2021)

https://news.ycombinator.com/item?id=20789929 (Aug 2019)
by hshdhdhj4444 | 2026-02-22 05:06:22+00:00
We can debate whether conventional weapons are better than nuclear weapons or not. But none of that matters. We’re better off just agreeing to it and working to improve it…

The problem with your analogies are that there is no path where a constant improvement to cars leads to anything but better outcomes for human.

There is no realistic or likely path where improvements to cellphones leads to anything but better outcomes for humans.

However, if AI keeps getting better to the extent we can imagine, ie Super Intelligence, the outcomes are more likely to be extinction level negative than positive.
by tptacek | 2026-02-22 05:06:33+00:00
For clarity, one of the "Accepted" vulnerabilities is that attackers who control the Bitwarden servers can set the PBKDF iteration count to "1". They set the severity of this to "low".

They've also "accepted" a vulnerability --- BW01 from the paper, I believe --- that allows a malicious server to read all vault items from a user as soon as they accept any invitation (real or not) to an "organization".
by esquire_900 | 2026-02-22 05:07:27+00:00
Cost wise it does not seem very effective. .5 token / sec (the optimized one) is 3600 tokens an hour, which costs about 200-300 watts for an active 3090+system. Running 3600 tokens on open router @.4$ for llama 3.1 (3.3 costs less), is about $0,00144. That money buys you about 2-3 watts (in the Netherlands).

Great achievement for privacy inference nonetheless.
by abetusk | 2026-02-22 05:07:37+00:00
You're completely forgetting "all your jobs are going to get outsourced to India". There was panic that internet connectivity would make local talent obsolete.

Microsoft was in full swing with trying to strangle the computing space. "Embrace, extend, extinguish" was a term coined from that era. Ballmer called Linux "a cancer". [0]

People were in a panic about Napster and how the internet would steal billions of dollars.

It does seem like people are much more against AI now than the dot-com boom then, but it's all looks and sounds very familiar to me.

[0] https://www.theregister.com/2001/06/02/ballmer_linux_is_a_ca...
by hedora | 2026-02-22 05:08:03+00:00
I think things are pretty clear. I don’t know when the markets will agree, sadly.

We do know technological advancements will leave the data centers as stranded assets. There’s not enough money in the most optimistic revenue projections to pay for them, and models are simultaneously getting better and cheaper to operate.

Adobe (and similar companies) will either improve or be replaced by vibe coding. I think the assumption a lot of wall street and management is making is that Adobe can replace itself with vibe coding and vibe customer support, and then not be simultaneously out-innovated by a few dozen companies founded by folks they laid off.

Local inference is 6-12 months behind SOTA. If that holds, you can have a 2029 SOTA locally on a Rapberry Pi 8, or 2030 SOTA for $500/month (in 2026 dollars). If 2030 SOTA is qualitatively better at that point, then we’ll be way past AGI, and the economy will be unrecognizable.