MurphyA/hacker-news huggingface dataset:
by carlosjobim | 2026-03-12 13:58:30+00:00
Just the fact that you're ready to go all-in arguing about a detail of small talk and start talking about legality and such, is employability poison. And that's something interviewers are looking for. I agree that it's a weird question, but one that the person being interviewed can easily just pass without it being a big deal.

The other poster said it's just a question to easily filter out applicants who aren't paying attention, and it seems as good a method as any. Say "just a cup of coffee" and move on. If the interviewer continues to talk about breakfast or other irrelevant stuff, then I'd just end the conversation. But they can have one for free.

But on the subject, I have no idea how companies manage to screw up their hiring process this much. I used to sometimes interview and hire people and found it to be the easiest thing ever, and I never had the need to do these weird games or more than a phone interview to find great employees. How hard is it to just focus on the exact task of the job and find a candidate who understands it and has a good attitude?
by alex_creates | 2026-03-12 13:58:34+00:00
Funny just yesterday I almost bought one but got cold feet and opted for a low range MacBook with M5 chip. The Apple sales rep was not convinced it would be enough when i described using it for vibecoding and deploying so kind of talked me out of getting the Neo. I normally use a mix of LLMs, then connect to Github and do a one-click deploy on CreateOS. Do you think I over-reacted? The price of the Neo is SO attractive, a clean half price compared to what I got.
by ajb | 2026-03-12 13:59:09+00:00
I see where you're coming from, but I disagree. If we see it as a dilemma between:

* trust giant unaccountable organisations

* do things yourself, because you're the only one you can trust

we won't solve the issue, because there are too many things that every individual would have to understand, execute correctly , and do so with perfect OpSec.

We need to work out the social bit, as well as the technical. How do we make it practical for individuals to delegate trust to smaller organisations, so that they can switch between them if they show signs of abusing that trust? This needs social innovation as much as technical - how do we bootstrap trustworthiness for small organisations? How do we do it fast enough that the next move is to an ecology of small organisations, not just to the next Facebook/Play Store?
by alephnerd | 2026-03-12 13:59:11+00:00
> I'd be interested to see specific targets or plans regarding specific uses like fertilizers

It's primarily in Asia and North Africa. For example, India has begun building a 7GW green hydrogen project specifically for urea production [0] and as a technical demonstration. An Egypt-Germany-Norway JV is also expected to be completed by 2027 explicitly for this usecase [1]

[0] - https://fuelcellsworks.com/2026/02/04/fuel-cells/india-s-7gw...

[1] - https://www.thyssenkrupp.com/en/newsroom/press-releases/pres...
by draismaa | 2026-03-12 13:59:13+00:00
We had so many successfull stories with the LangWatch MCP server, an MCP integration that brings agent evaluation infrastructure directly into Claude Code, Cursor, and any MCP-compatible environment. That i had to share some of the successes here:

The problem it's solving: teams building AI agents are fully in their coding assistant, but evaluation still requires logging into a separate platform, learning a new UI, and context-switching. The MCP closes that gap. What you can do from within your editor:

Ask your AI assistant to instrument your existing code with LangWatch tracing (it fetches the docs, adds imports, wraps functions with @langwatch.trace())
Generate simulation-based agent tests using Scenario — describe the behavior in plain English and it writes the pytest file

Search and inspect live traces from your project without touching the dashboard

Version and sync prompts to LangWatch's registry

Query cost/latency analytics in natural language

Set up LLM-as-a-judge evaluators that can gate CI/CD

Three real-world cases from the blog post:

A PM at an HR/payroll platform generated 63 agent test scenarios across 11 categories (happy paths, edge cases, wage tax mutations) in a single Claude conversation — no code written by hand.

A Senior AI Engineer migrated an entire Langfuse implementation to LangWatch in one session: Claude read the existing integration, rewired tracing, converted Jinja prompts to versioned YAML, and scaffolded model benchmarking notebooks comparing GPT-4o, Gemini, and Anthropic models.

A Dutch government AI team (LangGraph, multi-agent grant assessment system) used the MCP to build a full testing pyramid: end-to-end scenario tests, model comparison notebooks, and CI-gated quality evaluators before they'd written a single line of eval code themselves.

Setup is one line:
claude mcp add langwatch -- npx -y @langwatch/mcp-server --apiKey your-key
Docs: https://langwatch.ai/docs/integration/mcp

Curious if others are building MCP-powered eval workflows. The self-instrumenting agent angle (agents setting up their own observability while being built) is something we've been exploring and it gets weird fast.
by krapp | 2026-03-12 13:59:34+00:00
Haitian "voodoo" is the result of combining African religious beliefs with Catholicism by slaves they could continue to practice their religion in secret. A similar process happened with Christianity in Japan after it was outlawed - it took on the appearance of local Shinto and Buddhist practice.

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

https://en.wikipedia.org/wiki/Kakure_Kirishitan
by Ekaros | 2026-03-12 13:59:54+00:00
It is easy to keep your head above water level for surprisingly long times. Just look how some people in retail manage to rack up credit card and other type of debt.

And it is especially so when money given is not their own, but instead they get to take cut. Which these funds can do. They might even just take promises that you will pay in future and even allow adding the interest on top of loan amount. Numbers look good, bonuses look good.

Fundamentally this can only last so long and now is the time it starts to blow up.
by utopiah | 2026-03-12 14:00:07+00:00
I feel like the bottleneck for WASM integration isn't WASM itself but rather how to interface with it.

Quite often it comes with a mandatory service worker which has to be communicated to in a specific fashion, then some specific headers need to be available server side, etc. I'm not saying it's not required but ... I imagine most Web developer are used to requiring a library, calling its function, getting the result. Until it reaches that stage then JavaScript fallbacks will be preferred until there is absolutely no alternative but the WASM binary.
Show HN: Glad-AI-Tor – A public arena where startups get roasted or crowned
by Enjoyooor | 2026-03-12 14:00:34+00:00
The internet is full of vibecoded projects and AI-generated startups.

We built Glad-AI-tor, a public arena where founders throw their products into the crowd.

The rules are simple :
1/ submit your product
2/ the crowd roasts it
3/ the strongest survive

No marketing budget required.
Just the judgment of the internet.
by the__alchemist | 2026-03-12 14:00:46+00:00
Ok, this is very interesting, as after pondering my code and the article's main pt, I independently came to the same conclusion that angles are what introduces trig. I agree that maybe people might be using angles as intermediates, but IMO there are cases where they're the most realistic abstraction. For example, how can I map a user's mouse movements, or button presses to a change in rotation without a scalar value? Without trig?
by yavor-atanasov | 2026-03-12 14:01:19+00:00
Gen Z definitely didn’t invent cheating, but LLMs brought qualitative difference and scale. That changes the properties of the system.

During my university most courses had a good mixture of take-home assignments/projects and in-class exams. Yes, people could always cheat either through plagiarism (usually easily caught) or at the extreme by getting someone else to do the work (which I have never personally seen).

Anecdotal data around me shows:

* outright paper/assignment generation via LLM

* using chatGPT as a “professor” proofreading and polishing course work before submission (arguably good use but depends on the personal effort)

* avoiding reading by asking chatGPT for summaries

* using chatGPT to help explain various concepts (this is a good example of using LLMs as a source for learning…accepting that occasionally they can lie)

In a small classroom where a good teacher-student interaction happens, I guess it’s easier to catch people cheating. But some universities (maybe most) have massive classes where a professor may never have an actual conversation with some students. That context makes cheating harder to detect.

I accept my outlook on this may be a bit bleaker (hopefully), but saying it’s business as usual is at the other extreme.
by SkullTech | 2026-03-12 14:03:17+00:00
Jurisphere.ai | Frontend Engineer, Backend Engineer, Design Engineer | Bangalore, India | Hybrid | Full Time

Jurisphere is building an enterprise-grade Legal AI platform used by top law firms in India and the US. We are building serious product and systems infrastructure around legal workflows, document intelligence, review systems, and AI-powered execution. This is not a generic SaaS dashboard product. Our engineers work on dense, high-utility interfaces, long-running async workflows, large document pipelines, and enterprise-grade reliability.

We are hiring engineers who care about product quality, code quality, and building systems that remain fast, maintainable, and predictable as the company scales.

Roles currently available:

• Senior Frontend Engineer, Full-Stack Capable: Frontend-heavy role focused on workflow builders, document viewers, async UI, performance, and long-term frontend maintainability. https://docs.google.com/document/d/1Vlfnh0pMUynMy8e1vwfj7HSz...

• Senior Backend Engineer, Full-Stack Capable: Backend-heavy role focused on workflow orchestration, AI/document pipelines, APIs, reliability, observability, and cost/scale tradeoffs. https://docs.google.com/document/d/1P4zW47eGJJsaEQC33J-WQ4Ik...

• Founding Design Engineer: Product design expert who can also code in React, build and maintain components/UI, and raise the overall quality and polish of the product. https://docs.google.com/document/d/11yF_8tnDe7E4Qrwj4OcXvlXf...

We work from Bangalore in a hybrid setup. Compensation is competitive for startup talent and includes meaningful ESOPs.

To apply, send your resume, a short introduction, and links to work / proof of work to sumit@jurisphere.ai.
Show HN: PluriSnake, a new kind of snake puzzle game [iOS/iPadOS/macOS]
by amichail | 2026-03-12 14:03:30+00:00
PluriSnake is a daily puzzle game where you create and move colored snakes to clear tiles.

The idea is simple:

* You use color matching in two distinct ways: matching circles create snakes, and matching a snake’s color with the squares beneath it destroys them.

* Only snakes can move, and you move them in a worm-like fashion across the grid to new positions.

* Your goal is to destroy as many squares as you can. Note that destroying all of them may not be possible.

App Store link: https://apps.apple.com/us/app/plurisnake/id6756577045 [iOS/iPadOS/macOS]

What do you think of this game?

Can you beat my score of 98% for today's puzzle?
by mike_hearn | 2026-03-12 14:04:09+00:00
That's a possibility, but I doubt it. I've been programming for 35 years and know what I like in code. I've also previously maintained a long review prompt in which I tell the models all the ways in which they get things wrong and to go look for/fix those problems. But those review passes now don't take as long because there are fewer such problems to begin with.

In particular GPT 5.4 is much better at not duplicating code unnecessarily. It'll take the time to refactor, to search for pre-existing utility functions, etc.
by JumpCrisscross | 2026-03-12 14:04:12+00:00
Yeah, I'm going down a bit of a rabbit hole this morning. Turns out Wells Fargo's $59.7bn of private-credit lending is equal to 44% of its CE Tier 1 capital [1]. Meanwhile, Deutsche Bank got back to being Deutsche Bank while I was not looking [2].

[1] https://www.sec.gov/Archives/edgar/data/72971/00000729712500...

[2] https://www.reuters.com/business/finance/deutsche-bank-highl...
by b112 | 2026-03-12 14:04:30+00:00
I absolutely think there should be ramifications for such acts.

What I find bizarre, is that China and Russia do this daily, and "oh well". If such states sent over people to, you know, do damage using a bomb instead of a hack, there'd be trouble. As in, two towers were damaged, and it set off 20 years of war ... mostly against the wrong states.

Yet if you cause death via subtle means, such as reducing hospital infra, or attack and destroy infra via hacking, meh. Oh well!

This sort of falls inline with all other compute issues that appear before all elected bodies on the planet. An immense lack of understanding and comprehension, coupled with an inability to act.
by _heimdall | 2026-03-12 14:04:47+00:00
I'd recommend this podcast episode[1] if you're interested. Nate Hagan's was originally in finance and has spent the last couple decades researching and discussing wide boundary risks. This episode goes deeper into some of the ripple effects of this oil being blocked in the Straight, it isn't as simple as running it through a pipeline and shipping it differently as though you're detouring around a car accident.

[1] https://www.thegreatsimplification.com/frankly-original/wide...
Show HN: StudioIndex – A directory to find AI video production studios
by slhomme | 2026-03-12 14:05:04+00:00
I built StudioIndex because I kept seeing incredible AI-generated commercials (Nike, Coca-Cola, Anthropic's Super Bowl spot) but had no way to find out which studios actually made them or how to hire similar talent.

Marketing teams are starting to look for AI video production partners, but there's no central place to compare studios, see their work, or understand pricing. So I built a curated directory where you can browse AI-native and AI-augmented studios, watch their best work, and filter by the tools they use (Runway, Veo, Midjourney, Kling, etc.).

The site is free to browse. Studios can list themselves for free too. I'm curating listings manually right now to keep quality high.

Would love feedback on the UX and what data points would be most useful when comparing studios.

I'm just strating this, so it's work and progress, don't hsitate to share good videos and studios.
by prmph | 2026-03-12 14:05:15+00:00
No, you can't do real work on a $350 windows machine. No way such a setup is suitable for anything beyond browsing a tab or two and connecting to servers using SSH.

And, the whole shittiness of the experience will even distract you attempting real work: the horrible touchpad, the bad screen, the forced windows updates when you trying to start the machine to do something urgent, ads in Windows, the lack of proper programmability of Windows (unless you use WSL).... Add the fact that the toy is likely to break in a year or two. These issue exist on far more expensive Windows machines, how much more a $350 machine.

Leaving Windows machines and OS behind for more than a decade has been a continuing breath of fresh air. I have several issues with the Apple devices and macOS (as I have with Linux too), but on the whole they are far better than Windows. The only good thing about Windows that I miss on Macs is the file explorer and window management, not sure why Apple stubbornly refuses to copy those.
by strict9 | 2026-03-12 14:05:23+00:00
It appears personal devices were also impacted by this via Microsoft Intune. That app is presented to employees as a way to get their email/slack on their personal device without giving IT systems access to it.

IT systems around the country say that they have no access to your personal data and there they can only block access to Intune apps.

But the linked reddit thread[1] in this article notes personal devices getting wiped and locked out.

[1]: https://www.reddit.com/r/cybersecurity/comments/1rqopq0/stry...
by joshribakoff | 2026-03-12 14:05:36+00:00
While nothing fundamentally changes i have found an increased need for tests and their taxonomies — because the LLM can “hack” the tests. So, having more robust tests with more ways to organize and run the tests. For example instead of 200 tests maybe i have 1,200, along with some lightweight tools to run tests in different parts of the test taxonomies.

A more concrete example is maybe you have tests that show you put a highlight on the active item tests that show you don’t put the highlight on the inactive items, but with an llm you might also want to have tests that wait a while and verify the highlight is not flickering on and off overtime (something so absurd you wouldn’t even test for it before AI).

The value of these test is in catching areas of the code where things are drifting towards nonsense because humans aren’t reviewing as thoroughly. I don’t think that you can realistically have 100% data coverage and prevent every single bug and not review the code. It’s just that I found that slightly more tests are warranted if you do want to step back.
by perilunar | 2026-03-12 14:05:38+00:00
> Government minister Nick Thomas-Symonds said the change put an end to “an archaic and undemocratic principle.”

> “Our parliament should always be a place where talents are recognized and merit counts,” he said. “It should never be a gallery of old boys’ networks, nor a place where titles, many of which were handed out centuries ago, hold power over the will of the people.”

Really? About time they got rid of the monarchy then also.
by nothinggoesaway | 2026-03-12 14:05:40+00:00
I couldn’t argue with you, but here’s their answer. The arguments appeal explicitly to people “who remember when”:

> Need more convincing? How about a commercial operating system which doesn’t spy on you, does not report your online activity to anyone, and gives you complete freedom to choose the applications you want to use, however you want to use them? How about an operating system which isn’t tied to any specific hardware manufacturer, allowing you to choose the platform which is right for you, and fits perfectly well in systems with less than 4GB of memory or even virtual machines?
by JumpCrisscross | 2026-03-12 14:07:01+00:00
Reason this number caught my eye: last year the Fed's stress tests found "loss rates from [non-bank financial institution] exposures (i.e., the percentage of loans that are uncollectible) were estimated at 7%, under a severe recession in scenario one" [1].

That's the scenario in which unemployment goes to 10%, home prices crash by 33%, the stock market halves and Treasuries trade at zero percent yield [2].

[1] https://www.mfaalts.org/industry-research/2025-fed-stress-te...

[2] https://www.federalreserve.gov/publications/2025-june-dodd-f...
by vidarh | 2026-03-12 14:07:25+00:00
I was about to say they have a self-hosting guide, but I see they use third party services that seem absolutely pointless for such a tiny dataset. For comparison, I have a project that happily analyzes 150 million tokens worth of Claude session data w/some basic caching in plain text files on a $300 mini pc in seconds... If/when I reach billions, I might throw Sqlite into the stack. Maybe once I reach tens of billions, something bigger will be worthwhile.
by the__alchemist | 2026-03-12 14:07:28+00:00
Update with the big picture: I think the rotationAxisAngle example in the article is fine. The problem isn't that it exists and uses angles/trig: There are legit uses for that function! The problem is that it's not the best tool for aligning the spaceship. So: Problem is not that fn or angles/trig: It's using the wrong tool.
AI agent are becoming a workforce. Enterprises still don't have an OS
by saafree | 2026-03-12 14:07:51+00:00
If AI Agents Become a Workforce, What Is the Enterprise OS?

Something interesting is starting to happen inside companies.

AI agents are no longer just answering questions.

They analyze data, trigger workflows, call APIs, coordinate tools, and sometimes even initiate actions across systems.

In other words, they are beginning to behave like a new type of workforce.

But enterprises are still managing them with tools designed for a different world.

Traditional enterprise software assumes a simple model:

humans decide
software executes

AI agents blur that boundary.

They can initiate work, coordinate systems, and operate across multiple platforms. At scale, the enterprise starts to resemble a distributed computing environment.

And distributed systems usually need an operating system.

But organizations don’t really have one.

They have applications, automation tools, AI frameworks, and dashboards — but no true system layer coordinating governance, decisions, execution, and learning across the whole organization.

So this raises an interesting question.

If AI agents continue expanding as part of the operational workforce, what is the *operating system of the enterprise?*

One possible way to think about it is a new category:

*Enterprise Evolution Operating System (EEOS)*

A system layer that coordinates:

governance
decision
execution
evolution

So the organization itself becomes a continuously improving system.

We’re exploring this idea through an open architecture project:

https://github.com/Saafree-Inc/saafree-docs

Curious how others think about this.

If AI agents become part of the workforce, what would the operating system of the enterprise actually look like?
by piva00 | 2026-03-12 14:08:27+00:00
It was inflationary but would spread out the pain over the recovery period after the crisis, the other option was to allow 100% of the pain to be felt immediately: economy shutting down, people losing their jobs, diminished household spending, less money circulating in the economy, businesses still running having fewer orders/customers, more people being laid off, all the way until the crisis passed.

Between the latter and the former I believe the former was a much smarter choice in the medium to long term.
by obruchez | 2026-03-12 14:08:37+00:00
> It's a shame though that this is gonna kill so many sites and projects. Sure we have ChatGPT, but also with things like Google AI summary getting so much better traffic to sites is going to plummet. Without people visiting I think the incentive, heck even motivation, for a ton of the sites is gone. We've seen it with sites like Stack Overflow, but it's probably going to happen to just about everything..

As I see it, this is just an extra step in a long series of tools to just serve information more quickly. Search snippets for search results have always (?) been displayed for each link/page returned. If the information you were looking for was included in those snippets, then you wouldn't need to visit the actual site.

Then at some point there were knowledge cards/panels. Again, if the information you were looking for was in those cards/panels, then you didn't need to click on the links.

Now with LLMs/Gemini, the information is sometimes summarized at the top of the page. You need even less to visit the search results.

Google has always been a kind of cache for the Internet. It's just way more efficient at extracting and displaying information from that cache now.

So, yes, traffic keeps going down. But new knowledge will still need to be produced, right?