MurphyA/hacker-news huggingface dataset:
Show HN: I Built Systems AGI – 1600 Verticals, Self-Healing, Self-Evolving
by Apinok1985 | 2026-03-03 10:01:51+00:00
Hey HN,

For a while now, I've been building a cognitive AI business operating system from the ground up natively as a solo developer. I never coded before 6 months ago. I was frustrated with wrappers and fragile single-agent setups, so I decided to approach this as a distributed systems problem instead. It's called *Sophify*.

Instead of trying to make one monolithic capability do everything, I built a 12-server, 28+ microservice swarm orchestrated by over 40 highly specialized cognitive AI agents.

*Here’s the architecture under the hood:*
* *40+ Agent Architecture (Model Agnostic):* Decisions aren’t made by a single prompted agent. There is a multi-agent orchestration system that uses weighted voting and consensus across 40+ specialized cognitive agent profiles to synthesize decisions. Crucially, the system is LLM-agnostic—you can plug in whatever LLM you prefer (local or remote) to power the reasoning engines.
* *The Technician Bot:* Given that this comprises 28+ interconnected microservices running in the cloud. I wrote a persistent Technician layer. If a node hangs or hits a port collision (hello `WinError 10048`), the Technician detects it, diagnoses the stack, kills zombie processes, reallocates networking, and brings the service back online with zero human intervention.
* *1,600+ Industry Verticals:* Rather than building general-purpose workflows, the OS comes pre-loaded with state machines and hardcoded context for over 1,600 specific verticals running 1,284 autonomous workflows—handling everything from healthcare compliance to real estate out-of-the-box.
* *Military-Grade Security & Built-in VPN:* The entire system runs inside an integrated, zero-trust VPN layer with cryptographic audit trails and multi-tenant isolation. Production-ready for DoD contracts, healthcare (HIPAA), and enterprise compliance.
* *Deep Microsoft 365 Integration:* Full Microsoft Graph API implementation with native access to email, calendar, Teams, OneDrive, SharePoint, and Planner. The system orchestrates across AWS, Azure, and GCP with vertical-specific API frameworks for healthcare EHRs, real estate MLS systems, and finance platforms.

*Why did I build this?*
Started with API keys, ended with self-evolving, self-healing Systems AGI... and I still have to retrieve my own API keys lol. At least the system is acquisition-ready, fully decoupled, heals its own memory leaks and stalled sockets natively, and scales horizontally.

Happy to answer any questions about the 13-layer self-healing mechanism, managing the websockets across a 12-server swarm without race conditions, or the multi-agent consensus algorithms.
*Serious acquisition inquiries:* sophify-aaron@hotmail.com
Tear it apart. What did I miss?
by xarope | 2026-03-03 10:03:07+00:00
I can't seem to find any power draw or efficiency figures (e.g. <perf>/watts).

Only found this which talks about performance-per-area (PPA) and performance-per-clock ()I assume cycle) (PPC): https://www.reddit.com/r/hardware/comments/1gvo28c/latest_ar...
by wolvesechoes | 2026-03-03 10:03:54+00:00
There is Classic Flang, there is New Flang (part of LLVM tree), there is LFortran, there is Intel's ifx (also based on LLVM) and Nvidia's nvfortran (also based on LLVM, I think). And maybe even more.

Fortran ecosystem is actually more prolific, at least in terms of toolchains, including proprietary ones, than most of more popular languages.

Digression, but people sometimes forget that there is whole world outside of Python or JS, and that GitHub Stars or ShowHN posts do not easily translate to real world usage.
by FrasiertheLion | 2026-03-03 10:04:14+00:00
Most people outside of a narrow set of cryptography engineers are unfamiliar with the term anonymous credentials, while age and identity verification are two privacy-invasive requirements that are being heavily discussed and rapidly being written into laws lately. The post's intro discusses both quite heavily, and they form the author's entire motivation for writing the post.

The central question the post attempts to answer is "The problem for today is: how do we live in a world with routine age-verification and human identification, without completely abandoning our privacy?"

My rephrase is an attempt to surface that, compared to the dry and academic title that will get overlooked. I think this is a very important topic these days where we are rapidly ceding are privacy to at best, confused and at worst, malicious regulations.
by bayindirh | 2026-03-03 10:04:26+00:00
> I don’t know about you guys, but I feel like 50% of Ars headlines are completely misleading.

I believe they are doing A/B testing on these.

Ah yes, I remember correctly for once: https://arstechnica.com/civis/threads/why-do-front-page-arti...

TL;DR: They are doing mandatory A/B testing since 2015.
by hnben | 2026-03-03 10:04:58+00:00
did you have issues with banking apps, authenticator apps or outlook on workprofile?

I ask, because when I was using cyanogenmod a hundred years ago, banking apps were a major pain. And now I am using outlook on a flagship with stockrom, and outlook on workprofile is still a major pain, and I can easily imagine, it working even worse on grapheneos.
by liszper | 2026-03-03 10:05:39+00:00
This idea came to me in a dream. The starting point is a neuroscience finding that's been replicated across multiple fMRI studies: programming languages are not languages. When you read code, your brain routes it through the Multiple Demand network, the same circuitry used for logic puzzles and spatial reasoning. The language network stays dark. Your brain sees through the syntactic dressing and recognizes code for what it is: a deterministic puzzle, not communication.

This means no programming language has ever actually been a language in the neurological sense. Even "natural language programming" efforts like Inform 7 fail the test, the programmer still maintains a mental model of state machines and boolean flags, which is pure MD network territory.

SOEL is an experiment: what if the source code were genuine natural language prose — narratives with entities, intent, ambiguity, and social context and the compiler handled the translation to executable code? You write something closer to a specification document than a program. The compiler semantically encodes it, flags genuine ambiguities as compiler errors (which you resolve through dialog, not syntax fixes), and generates GHC-compilable Haskell.

It's impractical, unreliable, and fascinating. The theoretical foundation is in SPEC.md if you want the full neuroscience deep-dive.
by hilbert42 | 2026-03-03 10:05:54+00:00
"…easier to authoritatively tell people what time it is, with a one-hour jump twice a year,…"

Exactly. Also, changing business hours to suit specific work conditions would ease traffic congestion. For instance, a farmer would milk cows at different times of the year. Similarly, milk tankers would be on the road at hours set by cows' routines.
by nicksbg | 2026-03-03 10:06:09+00:00
Location: Serbia, Belgrade

Remote: Yes

Willing to relocate: No

Technologies: Legal, HR, Management and Administration

LinkedIn: https://www.linkedin.com/in/nikolastojic/

Resume/CV: https://www.dropbox.com/scl/fi/k8qjnitad7hkktzcdvrfg/Nikola-...

email: nikolas(at)grindam.com

My experience is mainly focused on human resources, administration and legal work ranging from contracts, advice on case, paperwork, recruiting, and any other administrative and HR task. In general one of the differences from the others that are doing the same thing is that I somewhat technical background due to being involved in few different projects during the years, so I can easily communicate with developers and also see when there is an actual issue in production or if someone is just delaying something or bluffing during interview. I also having managing experience, as I have been managing director of recruitment agency.

For those that want to open local office in Serbia, I can also help with that task and setting up teams, legal framework and other stuff necessary for opening office on new location.
by rawxtl | 2026-03-03 10:06:11+00:00
Location: Wales, UK
Remote: Yes/Hybrid
Relocation: No
Technologies: C, C++, Odin, Zig, Go, Python, React, JS, TS
Resume: https://drive.google.com/file/d/1rLsTjmwsNN2HV3kwIxzl-DWfESapUeYf/view?usp=sharing
LinkedIn: https://www.linkedin.com/in/edwin-dileep-thomas/
Email: see resume

Im Edwin, also go by the name rawxtl online. I do systems programming and art. I'v been programming since 14... so hire me
by sneak | 2026-03-03 10:06:20+00:00
The answer: because Meta has deliberately and intentionally inserted themselves into the social fabric so they can use network effects to surveil you sell your personal relationships back to you. They bought up Instagram and WhatsApp to the same end, then Oculus. Even Carmack fell for the lie. Meta never wants you talking to anyone in any medium without them knowing about it, because it allows them to sell more and more ads, because nobody is going to give up communications with their friends and family.

It's not that complicated. Most people just go where the other users are. They "have nothing to hide". Their thoughtless decisions actively make society worse for everyone else, one user at a time. Even tech people who know the scam throw up their hands and express how impossible it would be to get their kids' soccer parents or PTA groups to abandon WhatsApp groups or FB Messenger for something privacy-respecting. The tyranny of the installed base.

Go to a place that didn't have deliberate large scale society-wide anti-smoking programs. Basically everyone starts smoking at age 15 and never stops. People regularly and typically, en masse, work against their own interests in ways that seem like "not a big deal".

Suddenly, you can't make a doctor's appointment in Europe without a WhatsApp account (and agreeing to the Meta ToS in the process). (Why Europe casually ceded the basic day to day communications of many of its b2c sectors to an American company without so much as a fight is another matter.)
by burner420042 | 2026-03-03 10:06:42+00:00
This response lacks thought and is argumentative.

The UI is not the same nor are the app defaults. Combined they create a different UX from stock Android.

The default graphene App Store, and expected apps found there are different than Google Play or what you'd find on Google Play.

The default permissions of each app are restrictive, most notable when you start mixing App Stores.

F-Droid culture, and the app options, are their own thing.

Vanadium, the graphene messaging app, the lack of forced updates and nag buttons.

Exploit protection compat mode for banking apps.

Motorola isn't selling to you or the other person that responded. For that market graphene will have an unexpected learning curve.
by lightandlight | 2026-03-03 10:07:51+00:00
> Reading all the really, super old documentation that explains entire subsystems in amazingly technical depth

Any links?

> Maybe this is also why Smalltalk fiends are such fans.

I started getting interested in Smalltalk after I tried writing a MacOS program by calling the Objective-C runtime from Rust and had a surprisingly good time. A Smalltalk-style OO language feels like a better base layer for apps than C.
by bananaflag | 2026-03-03 10:08:17+00:00
I also have problems reading math, even though I work in a math heavy field. I have no problem with actually understanding math, just with forcing myself to read the symbols.

My problem stems from being very good at speedreading, being hyperlexic, and since I was a kid I devour books very fast, and I cannot transfer that skill completely to math and this disappoints me.

I know very good mathematicians who have problems reading both literature and math, and because there is no discrepancy, they don't experience it in a "I hate math" way as I do.

I actually managed to apply my "superpower" by reading a lot of what smart people say about math (e.g. introductions to papers, long mathoverflow answers, blog posts) and thus I internalized a lot of math thinking processes without actually doing the work (I know people say "there is no royal road to geometry" but for me it worked).
by vidarh | 2026-03-03 10:08:28+00:00
If you're not learning anything new, you're doing it wrong.

There's a massive gap between just using an LLM and using it optimally, e.g. with a proper harness, customised to your workflows, with sub-agents etc.

It's a different skill-set, and if you're going to go into another job that requires manual coding without any AI tools, by all means, then you need to focus on keeping those skills sharp.

Meanwhile, my last interview already did test my AI skills.
by stalfie | 2026-03-03 10:08:38+00:00
As an internist (not in the US), I would like to put in my two cents to say this is just wrong.

The primary utility of most medical professionals is to diagnose and treat a condition correctly. In the ER and elsewhere, the correct diagnosis is indeed often "drug seeking behaviour". And this is also a major aspect of medicine that many relatively healthy people interface with and remember. They are in pain for whatever reason, they desire to be relieved of said pain, and that desire puts them into contact with the skepticism and hesitancy around opiods that physicians have built up out of unfortunate necessity. It's often a hurtful and protracted experience, and so they remember it and form opinions like yours.

But this area of contact with medicine is a tiny, very visible tip of a much larger iceberg. Your description of "security guard around medication" is not strictly wrong for my field, seeing as internal medicine is largely about administering the right drug at the right time, but the 99% of the drugs we guard are not desirable at all for any drug-seeker. They are potent, full of side effects, are sometimes potentially deadly. But they do work. And you do not see any of this until you get properly sick, which to most people does not happen very often often (at least until they approach 70). And when it does happen, most people tend to focus on the one little side of the ice berg they come into contact with. But it is there, and it is about much more than distinguishing you from a drug seeker.
by base76 | 2026-03-03 10:08:44+00:00
One MCP tool call → your entire AI agent fleet as a live JSON graph.

Nodes: gateway, agents, memory, bus
Edges: verify → escalate → store
Status: active / idle / blocked / error

Built on FNC (Field→Node→Cockpit) — the same framework I use for consciousness detection research, now running a local AI armada.
by pjmlp | 2026-03-03 10:09:48+00:00
I used to be on Year of Linux Desktop camp a few years ago with M$ on my email signatures and all, nowadays I rather take Windows and macOS, leaving GNU/Linux for Raspberry PI and servers, even with all the ongoing warts than the endless count of distros on Distrowatch, there is always that pain point that takes weekends to sort out, e.g. having a BRIX UEFI booting the desired distro, like I had to last year.

> My son wanted to try a Java minecraft app on his iPhone, but it required insane workarounds to enable JIT to get acceptable performance. This isn't a technical limitation, it's put in place specifically to protect Apple's walled garden, and their precious services revenue.

This would also not work properly in Android, because it is Android Java, not standard Java.
by theshrike79 | 2026-03-03 10:10:51+00:00
ADHD here too

For me what works is limiting and filtering everything. I'm a programmer so I write small tools for this, CLI-ones because they have the lowest barrier of entry for me and are also scriptable - and nowadays LLM-capable.

At work I get a bunch of Github notifications from all kinds of crap, on the Github site the options are "on" and "off" pretty much.

So I built a TUI tool that uses the `gh` CLI and filters out all that to just the exact set I want to see, nothing more.

I have a tool that summarises long Youtube videos for me in a way that I can quickly see if it's worth the 40 minutes to 2 hours of watching or is it just two ideas spread over multiple minues for more ad revenue.

Pretty much every operation that needs me to pick up my phone, unlock it, find an app and in the app scroll down somewhere to get to the information will eventually get a CLI tool instead. Gonna do a weather one right now just based on @BeetleB's idea :D

And I'm pretty sure by the end of the summer I'll have some flavour of Claw running and using those tools to proactively give me the information I need.

A simple example: Calendar has an event far enough to warrant driving -> claw checks weather around that time+location(s) -> notify me if it looks like I need to dig my car from under a snowbank again. Or at the very least ping me with the current + future weather prediction around that time.
by dandaka | 2026-03-03 10:10:54+00:00
Location: Lisbon, Portugal (GMT+0/+1)

Remote: Yes (4h overlap with US East or full EU coverage)

Willing to relocate: No

Technologies: Claude Code, agentic AI workflows, TypeScript, React, Node.js, Next.js, PostgreSQL, Posthog, Mixpanel

Résumé/CV: https://dandaka.com/vlad-ra-cv.pdf

Email: vlad19@gmail.com

Senior Product Manager / Product Lead with 10+ years shipping products from 0 to 1. I use AI tooling daily as my actual workflow - Claude Code, agentic frameworks - to prototype, automate research, and build internal tools. At Trendle I introduced AI-first dev practices across the team: developers ship with AI agents, cycle times dropped. I also write code (TypeScript, SQL) to validate ideas before committing eng resources.

Shipped across prediction markets ($500K volume), generative art ($4M in sales during bear market), multiplayer gaming (10K MAU), and ecommerce. Co-founded a digital agency serving 20+ VC clients. Comfortable owning product end to end - strategy, specs with API contracts, data pipelines, user research, go-to-market.

Looking for: Senior PM, Product Lead, or Head of Product roles. AI-native companies, YC startups, or teams that value AI-first development. Full-time or contract.

LinkedIn: https://www.linkedin.com/in/rafeev/

GitHub: https://github.com/dandaka
by concats | 2026-03-03 10:11:10+00:00
What choice do they really have though? More and more consumers completely forgo owning a regular computer and only use a phone or a tablet now a days. And among the ones who do own a computer there's still a strong trend towards not paying for software, presumably a behavior taught to them by the overwhelming success of strictly ad-financed apps.

It's easy to forget that us here on HN are several standard deviations from the norm.
Show HN: Open-Source Article 12 Logging Infrastructure for the EU AI Act
by systima | 2026-03-03 10:11:44+00:00
EU legislation (which affects UK and US companies in many cases) requires being able to truly reconstruct agentic events.

I've worked in a number of regulated industries off & on for years, and recently hit this gap.

We already had strong observability, but if someone asked me to prove exactly what happened for a specific AI decision X months ago (and demonstrate that the log trail had not been altered), I could not.

The EU AI Act has already entered force, and its Article 12 kicks-in in August this year, requiring automatic event recording and six-month retention for high-risk systems, which many legal commentators have suggested reads more like an append-only ledger requirement than standard application logging.

With this in mind, we built a small free, open-source TypeScript library for Node apps using the Vercel AI SDK that captures inference as an append-only log.

It wraps the model in middleware, automatically logs every inference call to structured JSONL in your own S3 bucket, chains entries with SHA-256 hashes for tamper detection, enforces a 180-day retention floor, and provides a CLI to reconstruct a decision and verify integrity. There is also a coverage command that flags likely gaps (in practice omissions are a bigger risk than edits).

The library is deliberately simple: TS, targeting Vercel AI SDK middleware, S3 or local fs, linear hash chaining. It also works with Mastra (agentic framework), and I am happy to expand its integrations via PRs.

Blog post with link to repo: https://systima.ai/blog/open-source-article-12-audit-logging

I'd value feedback, thoughts, and any critique.
by pbmonster | 2026-03-03 10:12:05+00:00
Interesting article, but I wonder why the journalists didn't go all the way. Sure, Meta isn't going to comment when you ask them what data they have. But this is in the EU, just hit them with a Subject Access Request under GDPR.

Would be really interesting to create a completely new account, use the glasses with all upload settings off for a month, and then SAR request and see what they have...
by sbinnee | 2026-03-03 10:12:09+00:00
I love this article. I learned a lot from the OP’s setup although the tools I am using are basically the same with mu setup. I like using vanilla tmux with visual changes. I also use a bash script to manage git worktrees. I have a few slash commands (now skills with no auto invocation) for my workflow.

At the end of the day, I think that it all comes down to building what works for you. But at this point there is no doubt AI will play an important role to speed up workflows and augment one’s capacity.
by ILoveHorses | 2026-03-03 10:12:42+00:00
This is weird but I am required to create an Apple account to apply for this job. And I cannot create an Apple account, I just end up at an unhelpful page which says that this task cannot be done at the moment. I've tried tons of alternatives, but nada. It seems like the only way to 'recover' my account (I don't wanna recover!) is to do so from an Apple device, which I don't own!
by theshrike79 | 2026-03-03 10:13:04+00:00
Agents usually refer to "coding agents" but they need a human in the loop.

What makes Claws Claws is that they run automatically without human intervention, BUT they're built around an Agent =)

It's like if you could tell Claude Code that "at 8am tomorrow morning check the weather at my current location and send me a Telegram message". It doesn't know how to wait until 8am, it'll just do it. Or it'll create some massive hack to do it.

A Claw is built for things like that and has a "memory" of stuff it needs to do in the future and the ability check it periodically.
by robertknight | 2026-03-03 10:13:49+00:00
This would have been more effective if written by hand. The issue content is typical LLM-generated markdown that has a lot of noise (formatting, headings, lists etc.) which makes it fatiguing to read. It comes across like a PowerPoint deck of dense slides. What is really needed is a clear, focused and well-written letter that effectively gets across a message and has the potential to be persuasive to the people within Microsoft who might be in a position to help. An additional problem with the LLM-written style is that it comes across as low-effort, which also lessens its impact.
by peteforde | 2026-03-03 10:14:09+00:00
It would elevate the conversation significantly if people didn't use "vibe coding" and AI use interchangeably.

I don't use Reddit, but you don't have to look for a specific thread. It often feels like there's a mob of people just waiting for fresh meat to wander into their camp. Literally any thread referencing AI on this site is full of people who appear to have nothing but venom and contempt for people who use these tools.

It's not everyone, but loud minorities are still loud.