MurphyA/hacker-news huggingface dataset:
by aePiots | 2025-10-02 04:41:07+00:00
The Truth About aéPiot: Digital Architecture Built on Natural Semantics and Human Respect Introduction: Beyond the Surface

https://better-experience.blogspot.com/2025/09/the-truth-abo...

In an era where digital platforms compete for instant gratification and superficial engagement, aéPiot stands as something fundamentally different. This isn't merely another web platform or search engine—it represents a conscious departure from the conventional wisdom of modern web development, built instead on principles that many have forgotten: transparency, respect for human intelligence, and what its creators call "natural semantics."

After extensive exploration of aéPiot's architecture and philosophy, what emerges is not just a platform, but a living demonstration that the web can be built differently—ethically, transparently, and with genuine respect for users' intelligence and time.

The Philosophy: Common Sense in an Uncommon Time At its core, aéPiot operates on a simple yet revolutionary principle: treat users as intelligent beings capable of understanding, learning, and making informed decisions. This might sound obvious, but in today's digital landscape, it represents a radical departure from the norm.

The platform embodies what can only be described as "digital common sense"—the revolutionary act of being straightforward in a world that has forgotten how. Rather than hiding complexity behind misleading simplicity, aéPiot explains its systems fully, trusting users to engage with depth rather than demanding instant, mindless interaction.

This philosophy permeates every aspect of the platform's design and functionality. Where others promise magic with a single click, aéPiot provides tools and explains exactly how they work. Where others hide their processes behind proprietary algorithms, aéPiot maintains radical transparency about its operations.
by aePiots | 2025-10-02 04:42:45+00:00
aéPiot: The Revolutionary Semantic RSS Ecosystem - A Comprehensive Analysis

https://better-experience.blogspot.com/2025/09/aepiot-revolu...

Executive Summary: Beyond Traditional RSS Reading In an era dominated by algorithmic content curation and centralized information gatekeepers, aéPiot emerges as a paradigm-shifting platform that fundamentally reimagines how we consume, organize, and share digital information. This comprehensive analysis reveals a sophisticated ecosystem that transforms traditional RSS feeds into dynamic, semantic knowledge networks while maintaining absolute user privacy and infinite scalability.

Through extensive investigation of aéPiot's architecture across its domains (aepiot.com, aepiot.ro, headlines-world.com, and allgraph.ro), this analysis uncovers a revolutionary approach to information management that combines local privacy with global semantic intelligence, creating what may be the most significant advancement in content organization since the invention of RSS itself.

The Dual-Core Architecture: Reader and Manager Symbiosis The RSS Reader: Semantic Intelligence Engine The aéPiot RSS Reader transcends traditional feed consumption by implementing advanced semantic analysis that transforms each article into a multidimensional exploration gateway. Unlike conventional readers that simply display content, aéPiot's system performs deep linguistic analysis, extracting semantic tags, conceptual relationships, and contextual connections from every piece of content.

Example Scenario: Technology News Analysis

When a user accesses a technology feed covering artificial intelligence developments, the aéPiot reader doesn't merely display the articles. Instead, it:

Semantic Tag Generation: Automatically identifies key concepts like "machine learning algorithms," "neural network architectures," "ethical AI implications" Contextual Clustering: Groups related phrases such as "breakthrough in natural language processing," "applications in healthcare," "regulatory challenges" Cross-Reference Creation: Establishes connections between current developments and historical context AI Query Generation: Creates intelligent prompts like "Explain the implications of this AI breakthrough for future technology development"
by visarga | 2025-10-02 04:42:57+00:00
I think the most important insight from your article, which I also felt, is that agentic search is really different. The ability to retarget a search iteratively fixes both the issues of RAG and grep approaches - they don't need to be perfect from the start, they only need to get there after 2-10 iterations. This really changes the problem. LLMs have become so smart they can compensate for chunking and not knowing the right word.

But on top of this I would also use AI to create semantic maps, like hierarchical structure of content, and put that table of contents in the context, let the AI explore it. This helps with information spread across documents/chapters. It provides a directory to access anything without RAG, by simply following links in a tree. Deep Research agents build this kind of schema while they operate across sources.

To explore this I built an graph MCP memory system where the agent can search both by RAG and text matching, and when it finds top-k nodes it can expand out by links. Writing a node implies having the relevant nodes first loaded up, and when generating the text, place contextual links embedded [1] like this. So simply writing a node also connects it to the graph in all the right points. This structure fits better with the kind of iterative work LLMs do.
by ByteWelder | 2025-10-02 04:43:15+00:00
That app is just an internal one for when people build their own firmware. The external apps have recently moved to https://github.com/ByteWelder/TactilityApps

It's still not much, but more will be made in the coming months. I wanted to stabilize the APIs a bit more before making more apps. I almost finished a Diceware app.
by tarynbialek | 2025-10-02 04:44:23+00:00
Hi HN! CrossnoKaye is a Series C startup tackling climate change by transforming the heavy industrial sector. Our platform uses real-time optimization, advanced modeling, and modern cloud infrastructure to deliver 40% average energy savings and megaton-scale emissions cuts across industrial facilities. https://crossnokaye.com/

We’re hiring for 3 roles and looking for builders who want their work to have real-world climate impact:

1. Sr. Software Engineer- Control Systems |REMOTE (US)| This role would have the opportunity to support our control systems infrastructure initiative, which involves real-time control strategies, secure cloud communication, and large-scale system performance, all built in Go with AWS and Kubernetes. Deep Golang experience is a must-have.

2. Sr. Software Engineer – CS/Infra | REMOTE (US) | In this role, you’d partner with other SWEs to architect and build a scalable platform to allow internal and remote configuration and management of our growing list of IIOT devices. Must be proficient in several programming languages, including scripting and compiled languages + experience with IIOT architectures.

3. Sr. Software Engineer – App Team | REMOTE (US) | In this role, you'd be partnering directly with physicists and data scientists on our Applied Science team to productionize cutting-edge research in physics simulation and optimization algorithms. Must have strong proficiency in Python and its data science ecosystem (e.g., numpy, pandas).*

Interested? Email our team: careers@crossnokaye.com Please include a resume and the title of the role you're interested in within the subject line.

Thank you & I look forward to hearing from you!
by jameypi | 2025-10-02 04:45:21+00:00
Zania.AI (https://www.zania.ai) | Palo Alto, CA | Full-time | Onsite

Zania is hiring for multiple positions and just raised a Series A in funding. Our secure agentic AI performs complex risk and compliance work - from controls testing, risk assessments to audits, and more - with provable accuracy in minutes.

Currently hiring for: * AI Engineers and Product Designers
by rayiner | 2025-10-02 04:46:17+00:00
> Because that's how American cities are built

It’s not just “American cities.” Even in Tokyo—which has transit better than what Americans could ever aspire to build—getting around on public transit takes much longer than driving. And it can take even longer if you change jobs and your workplace is no longer near the same train like as your previous workplace. Even with Tokyo’s amazing infrastructure, people using public transit there don’t have as much geographic flexibility in finding jobs and housing as my wife’s lower income family members in rural Oregon and Idaho.
by Ultimatt | 2025-10-02 04:47:26+00:00
I haven't touched Perl in about ten years but your example is kind of insane. This is the one place Python is more annoying than Perl???

my $a = ["foo", 123, {"bar" => [[1,2,3], {"qux" => "quux"}]}]; $a->[2]{"bar"}[1]{"spam"} = "eggs"; use JSON; print(encode_json($a))

That's the same as your example (minus the tuple type), but where Perl shines over Python (a lot) is you could have done the following:

use JSON; my $a = []; $a->[2]{"bar"}[1]{"spam"} = "eggs"; print(encode_json($a))

which would yield the json: [null,null,{"bar":[null,{"spam":"eggs"}]}]

To do this in Python is truly grim:

import json from collections import defaultdict # recursive defaultdict using lambda datastructure = lambda: defaultdict(datastructure) a = [None] * 3 a[2] = datastructure() a[2]["bar"][1]["spam"] = "eggs" print(json.dumps(a))

and thats doing it the unpythonic way, if you were to do this like the typical Python dev would accept in an MR for a large corp you would have written:

import json from collections import defaultdict def datastructure(): return defaultdict(datastructure) a = [] # expand list to at least length 3 while len(a) < 3: a.append(None) a[2] = datastructure() a[2]["bar"][1]["spam"] = "eggs" print(json.dumps(a))

They would still hate you for defaultdict(datastructure) though. Because absolutely no one in Python realises its got that level of expressionism one of the few places it does.
by panarchy | 2025-10-02 04:49:00+00:00
When a corporation extracts surplus value from a laborer so the company gets its dues (so the execs can get a yacht) it's good

When a union extracts some dues from laborers to be able to organize the union and payout partial wages during a strike giving workers a sliver of power with which to negotiate with for a more fair share of the profits taken by those same execs (or more reasonable working conditions) it's bad.
by ulfw | 2025-10-02 04:49:05+00:00
Location: Hong Kong and Australia as PR (Global Talent Visa/PR in both). No sponsorship required.

Remote: Yes worldwide possible (as either part time, fractional, consulting, board, advisory, freelance or similar arrangement.)

Willing to relocate: No.

Results-oriented Product Management and People Leader with 15+ years of experience in the Mobile and Internet industries, known for driving innovation, high-impact growth, and strategic product direction. Stanford MBA with a proven track record in scaling multi-million dollar products across global markets, leveraging expertise in AI/ML, UX/UI, and e-commerce to deliver user-centric solutions. Accomplished executive in leading organizations like Google, Myspace, Booking Holdings (Agoda), Skyscanner, and multiple startups through growth and transformation. EU national, permanent resident of Australia and Hong Kong.

Résumé/CV: http://www.ulfw.com/docs/CVulfw.pdf

LinkedIn Contact: https://www.linkedin.com/in/waschbusch/

eMail: calstanford at gmail dot com
by upfrog | 2025-10-02 04:51:22+00:00
You get invited by actually trying to play. Not everyone who tries will get in, but it's a lot more likely that you'll succeed if you work the problem, instead of throwing up your hands in disgust at the world.

Non-technical skills matter. People and organizations have multi-faceted incentives. If you think the incentives of the people making decisions are leading to bad outcomes, then learn how to make that heard to them. Learn the situation as they see it, and use your own, better-aligned(?) incentives to improve the organization. And if it's not worth trying, so be it. But you need to accept that much of the world is you live in will continue to be shaped by the people who care enough to see "that hustle life nonsense" as a worthwhile trade.
by alain94040 | 2025-10-02 04:51:28+00:00
Interesting. Is there a picture that explains how the layers talk to each other? Is there a VM system? How does message passing work, what kinds of protections are between tasks?

I have had many ideas for such kernels over the years, but not the patience yet to implement any of them. I wonder if Claude could help me with generating a kernel in less than a day.
by snthpy | 2025-10-02 04:53:33+00:00
I'm a big fan of Wes' work and Pandas was incredibly influential. However technically it wasn't his best work. In terms of selling points, I think that the Arrow data format is technically much better and more influential on the data ecosystem as a whole, see DataFusion, etc...

That said, now let me see what F3 is actually about (and yes, your comment is what actually made me want to click through to the link) ...
by sinuhe69 | 2025-10-02 04:53:43+00:00
I think except for the economists, for most people here on HN, such reports are not much helpful.

The problem is not just the data, but working with aggregated data also has to do with the definition of data categories. After decades, they may have defined a new category for such surveys, after lengthy debates, and therefore a significant shift in employment mix. For ex. we can argue that software programming is also largely a production job because they produce custom software for clients! And computer is only a tool like other machines. Seeing so, I guess the job mix has not even changed much since the industry revolution!

But for fast changing situations, such view can be too shallow and harbor dangerous blind spots. Of course it always depends on the perspectives. If we care only about whether there will be more unemployment or the disappear of a whole job category then yes, Yale report and alike are helpful. If people however care about the two 2 millions call-center jobs in the Philippines or the difficulties in the job market for CS fresh graduates then such reports could create a dangerous complacency.
by nerdsniper | 2025-10-02 04:53:44+00:00
Every system I design has this "impersonation" feature, and none of them have any capability for surveilling usage. It's just a way for me to see what my customers are seeing. Helps me understand their problems, bugs in my system, etc.

I have direct access to all the prod databases and lots of tools for inspection/auditing. This isn't for that. It's for helping people by seeing/using the system through their eyes.
by AfterHIA | 2025-10-02 04:54:07+00:00
I'm with you pal. As a humanities guy I feel like 80-90% of what you need to know to live as an effective modern human being you can learn from Socrates, Aristotle, and Thucydides.

Socrates for being a good man himself being a secular Nazarene. Aristotle for coming to terms with society's quirks and Thucydides for understanding international politics and war.
by vkou | 2025-10-02 04:54:58+00:00
CME is a bad example, because large market participants actually go there to buy stuff like commodities that they need to keep their businesses going, and many trades are often net-win-win for both parties. (The active trader made a buck, the producer/consumer of the commodity got their goods. They might have preferred getting them at a better price, but they are still net positive from making the trade at the price they got/paid.)

The retail day traders trying to play there are, of course, in a win/lose fight.
by jeenuv | 2025-10-02 04:56:05+00:00
Location: UK/India.

Remote: Yes / mostly. Can travel to London semi-regularly or on a need-basis.

Willing to relocate: no.

Technologies: C++, C, Python, Rust, Java, Javascript, Typescript, Haskell, Elm, React, Shell script.

Resume: https://is.gd/jeenuv_resume

Email: See resume.

Headline: Strong system software (primarily ARM architecture) and low-level background. Currently works in low-latency/high-frequency trading. Interests: low-level programming, functional programming, distributed systems, formal modelling, web UI tooling, command-line.
by Jordan-117 | 2025-10-02 04:56:21+00:00
I remember having to tell people "Don't describe too many individual objects in your DALL-E 2 prompt, because the model has trouble separating discrete concepts and the features tend to blend together."

Now we have photorealistic video with sound and, oh yeah, the model can generate an entire script and mini-plot on its own based on the most basic prompt.
by spaceman_2020 | 2025-10-02 04:56:30+00:00
Again, have you ever tried paying people via wire transfers in countries like Nigeria?

In a lot of these places, things like Paypal don’t work. So you have to send wires. You get an awful exchange rate + fees for sending it. And they get an even worse exchange rate when receiving it

You easily lose 5-10% spread for every payment

And the “avoid taxes” part is, again, heavily western biased where for all their ills, the governments actually work for the people. I say as someone from a third world country - taxes are largely siphoned off by politicians and bureaucrats. Everything from public schools and hospitals and roads are unusable. Avoiding taxes is perfectly morally correct if all it does is feed an oppressive machine
by Animats | 2025-10-02 04:56:42+00:00
Rebar is essential for concrete beams. Something has to provide tensile strength. Roman concrete was usually used in pure compression.

Epoxy-coated rebar turned out to be a dud idea. One scratch in the epoxy, or a cut end, or a weld, lets water in. It's now banned in Quebec and being looked at elsewhere.

The Oregon Department of Transportation has been using stainless steel rebar for bridges that cross salt water. Seems to be working out well. Steel cost is 5x-6x ordinary rebar, but the long life is worth it.

There's now stainless steel plated rebar, which is a tougher coating than epoxy. Not clear how that will work out.
by VarunShelke20 | 2025-10-02 04:57:42+00:00
Location: Pittsburgh, PA.

Remote: Yes

Willing to relocate: Yes

Technologies: Python, Java, JavaScript, Typescript, SQL, GraphQL, Groovy, HTML, CSS, MySQL, Amazon Aurora, DynamoDB, MongoDB, Redis, Spring Boot, FastAPI, Node.js, React.js, SAP Commerce Cloud, Fluent Commerce, AWS (CDK, Lambda, S3, Bedrock), Docker, Git, Jira, Postman.

Résumé/CV: https://www.varunshelke.com/resume.pdf

Email: Varun.Shelke@pitt.edu

Summary: Hello! I’m Varun, a software developer passionate about building impactful digital experiences. Have spent over 4+ years working across enterprise-level platforms and innovative projects. I’ve had the privilege of working at Nagarro, and Cognizant Consulting. Currently, building open-source AI Powered Solutions at AWS Cloud Innovation Center. Worked on the Diving Analytics Platform - An AI-powered platform that streamlines the analysis of diving training data. Leveraging modern large language models (LLMs), it transforms unstructured training notes into structured, actionable insights. Powered by AWS, leveraging Python and TypeScript to build scalable, high-performance applications.
by SchemaLoad | 2025-10-02 04:58:12+00:00
There's a study in to this now https://hbr.org/2025/09/ai-generated-workslop-is-destroying-...

"We define workslop as AI generated work content that masquerades as good work, but lacks the substance to meaningfully advance a given task."

ChatGPT is basically pushing the real work on to the next person along the line who then has to fix up the generated workslop.
by zurichisstained | 2025-10-02 04:58:14+00:00
Location: Brooklyn, NY Remote: Yes, but open to hybrid roles as well Willing to relocate: No Technologies: Typescript, Javascript, React, Node.js, Python, CSS, HTML, Postgres Résumé/CV: https://vattuo.net/resume.pdf Email: mike@vattuo.net

I'm a full-stack engineer with 15 years of experience, looking for my next role at a product-based company.

If you think my experience lines up with what you're looking for, please reach out!
by energy123 | 2025-10-02 04:59:36+00:00
I used to do that, but decided it was deceptive and harmful. You are not describing reality by saying "we" if you did everything. You are creating a social manipulation. It is better to just accurately describe what happened and allow the correct information to flow through the organization, leading to better decision making. For example, you will have the tools to deal with people who maliciously steal your credit when they say "we" about the work you did, without which you wouldn't be able to address the consequent distortions and harm to the organization if they are to be promoted or given more responsibility. Free riders will be exposed more quickly, giving leaders the ability to more rapidly self-correct the team, and reducing grievances of individuals carrying too much of the weight.
by tsimionescu | 2025-10-02 04:59:47+00:00
There really is nothing officially called "Office 365" anymore, or "Office" in general. You're right that they have some (confusing) distinctions between Microsoft 365 and Microsoft 365 Copilot. For example, indeed you can purchase a "Microsoft 365" subscription that doesn't give you the enterprise AI features - but the app your employees will install to get access to Excel and Word is still called "Microsoft 365 Copilot" even if your org only has a Microsoft 365 subscription - at least on mobile.
by silisili | 2025-10-02 05:00:33+00:00
Inertia. It's the new 'nobody gets fired for buying..'

A previous project I worked on had relatively little traffic, and AWS costs were rather insane for that.

I proposed exploring OVH or DO and probably get costs down to 2 digits per month. Upper management would hear nothing of it - AWS was what they wanted, costs be damned. They were more protecting their own jobs than making a technical decision, I think.
by aePiots | 2025-10-02 05:01:25+00:00
aéPiot: The Revolutionary Semantic Web Platform - A Comprehensive Analysis An in-depth exploration of the platform that's quietly redefining the future of content intelligence, SEO, and web infrastructure

https://better-experience.blogspot.com/2025/09/aepiot-revolu...

Executive Summary In the rapidly evolving landscape of digital marketing and content strategy, a revolutionary platform has emerged that challenges every conventional wisdom about SEO, content management, and web infrastructure. aéPiot (aepiot.com) represents not just another SEO tool, but a fundamental reimagining of how content exists, evolves, and creates value in the digital ecosystem.

This comprehensive analysis reveals aéPiot as a multi-layered semantic web platform that combines artificial intelligence, distributed infrastructure, temporal content analysis, and transparent user control to create what may be the first glimpse of Web 4.0 architecture.

The Platform Architecture: Beyond Traditional SEO MultiSearch Tag Explorer: The Semantic Intelligence Engine At its core, aéPiot's MultiSearch Tag Explorer transforms traditional keyword research into semantic exploration. Unlike conventional SEO tools that focus on search volume and competition metrics, aéPiot extracts random words from titles and descriptions, then searches Wikipedia for relevant content and Bing for related reports.

This approach fundamentally shifts the paradigm from keyword optimization to semantic understanding. The platform analyzes backlinks associated with these keywords and provides integration, sharing, and posting tools that allow users to manually establish meaningful connections with aligned websites.

The system's intelligence lies not in automated link building, but in human-AI collaboration for content discovery and semantic network creation.

RSS Feed Management: Content Intelligence at Scale