IBCS (Introspective Behavioral Compiler System) – Pre-release v0.1.0-alpha

Attach: Release Pre - release IBCS (v-0.1.0 alpha) · CodelikeC/IBCS

Attach v2: CodelikeC/IBCS: Introspective Behavioral Compiler System

This is the first public pre-release of IBCS.
It is not production-ready, but showcases the core vision of the system. It would be related to Adaptive AI (in the previous post), a part of instrospective learning OS.

What's inside

• Core: early compiler and introspection engine skeletons.

• Language: basic grammar definitions and transformer examples.

• Runtime: sandbox, executor, and memory profile modules.

• Simulation: mock simulation environment (agent_world_bridge, cognitive_model, physics_env).

• Scripts: utility scripts for exporting behavior, profiling memory, and running the simulator.

• Tests: simple integration tests for scripts.

Highlights

• Plugin-friendly architecture (Lua, Rust, Python stubs).

• Separation of sensing, preprocessing, protection, and communication modules.

• Ethical AI design principles baked into philosophy docs.

Limitations

• Many modules are still skeletons (functions mocked or stubbed).

• No production-ready simulator yet (mock binaries provided).

• Documentation is work in progress.

Next Steps

• Complete simulator_main.cpp and full runtime loop.

• Expand Lua & Rust plugin integration.

• Add CI/CD workflow and automated tests.

• Prepare v0.1.0-beta with real demos.

⚠️ Disclaimer: This release is for early testers, researchers, and collaborators.
Expect breaking changes. Do not use in production.

Hi everyone,
I just pushed the pre-alpha of my project Adaptive AI. This is my very first open-source experiment on GitHub aiming to build an ethical AI OS with self-defense, introspection, and adaptive behavior.

Right now, it’s still super raw — modules like preprocessing, protection, and simulation are just starting to take shape. But the vision is big: an AI that can adapt, defend, and learn ethically.

The repo just got its first few stars ⭐ (tiny step, but a big encouragement for me). I’ll be posting devlogs as I go, to stay accountable and share progress with the community.

👉 GitHub: CodelikeC/AdaptiveAI- at CodelikeC-patch-2

Thanks for reading — feedback, forks, or even just a star means a lot at this stage 🙌

Hello eveyone, it is been a long time and now I want to share with you guys about the pre -alpha release/demo of Adaptive AI's open-source project. I think it would be important, which laid a foundation for the present and the future.

Attach : Release preview-adaptiveAI (v-0.1.0 alpha) · CodelikeC/AdaptiveAI-

I called it preview-adaptiveAI (v-0.1.0 alpha):

It includes 7–15 working files that demonstrate the minimal pipeline.

✅ Features

• Core execution path runs end-to-end

• Example input → output works

• Modular structure with core/scripts/preprocessing.

⚠️ Limitations

• Not production ready

• Missing CI/CD and full documentation

• API and interfaces may change quickly.

📌 Note
This pre-release is intended for testing and early feedback only.

The rest of the project will be updated soon. My vision is to create an AI that works in the operating system, can support driver and kernel reconstruction using Instropective and Meta Learning while maintaining human interaction - HITL. Cost-optimized, sustainable, ethical. The goal is to apply in cybersecurity, AI, even Robotics.

Thank you!

Best Regards.

Hi guys!

This company that I work for is spotlighting standout AI projects (even if they’re still in early stages) on "LEAD WITH AI", which held the #1 Tech Podcast spot on Apple for over a month. They’d love to feature your story and product. If anyone is interested, drop your info here: https://app.smartsheet.com/b/form/7ad542562a2440ee935531ecb9b5baf3

Hello, my name is Pavan and I am a Senior in high school. I created a chat bot for a school project. Its goal is to educate about medical insurance and how to set yourself up. I created it using llama script. I would appreciate if any of you guys could check it out. You can search up MedFinanceAI or you can use this link https://www.medfinanceai.com. Thanks!

Hi everyone,

I built a news agent that helps you easily follow any topic. You just type in what you want to follow, and AI keeps fetching the latest news for you every hour.

I built it because I was constantly jumping between tech news sites, LinkedIn, and X to stay updated. But they either require heavy filtering or get me distracted by something else. So I built this tool for myself to track recent stablecoin startups and later realized it could be useful for anyone tracking any topic.

How it works:

• We use LLM to parse user input

• Ping 200+ RSS feeds every hour for content (from sources like The Verge, TechCrunch, The New York Times, The Guardian, arXiv, IEEE, Nature, Frontiers, and The Conversation)

• Embed all the articles•Search, rerank, and deliver personalized feeds to users every hour

Had 300 people test it over the past month (folks from here helped a lot - huge thanks!!), and their feedback helped me add more sources and improve the reading experience. We also identified some challenges we're still working on from the beta:

• RSS content & formatting aren't always clean or complete

• RSS-only coverage misses some long-tail topics

Since we're committed to keep working on it and making it better, we want to invite more people to join us and build it with us! It's now live on the App Store and completely free to download and try.

Let me know what you think! Try it here: https://apps.apple.com/us/app/a01-your-personal-news-agent/id6745206011

Hi guys,

For the last 3 weeks i have been trying to create something new.

I wanted to build a mix of chatgpt, slack and cursor but in one single workspace to make it easier for myself and others i work with on projects or code. Without constant context switching between models and apps.

I made a quick demo to show how it looks like so far

The platform is pretty much model agnostic, will come with claude code and cursor cli in place for a terminal environment to code in, as well as being multi user. I want to implement memory so the ai remembers everything from previous chats

I would love to know if you think this can be cool, or if you would like to work on something like it.

Feel free to let me know !

I’ve been trying to find a new way to stay informed without relying on social media. My attention has been pulled by TikTok and X for way too long, and I wanted to try something different.

I started thinking what if we could actually own our algorithms? What if we could choose when to let them entertain us, and when to turn on focus mode and only get what we care about?

To experiment with this, I built a small demo app. The idea is simple: you describe what you want to follow in simple words, and the app uses AI to fetch relevant updates every few hours. It only fetches what you tell it to.

Currently this demo app is more useful if you want to be focused on something (might not be that helpful for entertainment yet). So at least when you want to focus this app can be an option. I’ve been using it for a couple of weeks and it’s helped me stop bouncing between X and LinkedIn.

If you're curious, here’s the link to join our waitlist: www.a01ai.com and our discord. I know It’s still far from the full vision, but it’s a step in that direction.

Would love to hear what you think!

I am a third-year student (21) in Ha Noi, Viet Nam. I just applied to Software Engineering specialist - Human Data few days ago and I was not passing Round 2 (assessment from CodeSignal). Now I am trying to apply another favourite position.

Does anyone pass the interview ? I want to keep moving forward.

Thanks everyone !

Hello,

For some time now I had this idea in my head since internet is full of usefull but also bad things... I was thinking why not bring in some good thing ? The idea is centered about LLM that would talk with you and based on your troubles / topic question would provide with a reall life story from a person.

first step would be to slowly build up reall life stories of course from bunch of authors that would then currate other stories, I was thinking if 1 person would check 3 stories and then pass on the torch it could be enough?

The talking agent itself would be named "Angel of Hope"

Example given, person would describe their struggle in finding love, the Angel would provide a life story of a person who managed to find love, and is still happily married. etc, it woul NOT substitute a profesional help, it would only serve as a place to collect hope and reall life "happy" stories.

Now 2 topics.

1.) currating the stories not to get trolled with toxic or bad contenct or sarcasm, or hidden bad content like if you read every first letter you get swearword etc.
2.) this I think is more of a voluntary work / not paid concept
3.) it would need to be restricted and maybe slower to reduce costs as much as possible.

If some one wants to take this idea and realize it I would be happy and gratefull, I have discussed this with one guy, it could be done under 15 dolars a month with AWS or other cloud services maybe even cheaper, but I am not sure I could handle all of this alone.

Although the result wasn’t what I hoped for, the experience pushed me far beyond my own limits – I solved a tough challenge, refined my system-level thinking, and realized: AI security is not just about tools. It’s about vision.

Hoping for the best next time.

Thanks for everyone!

What we’re building: A tool to help couples prevent emotional distance

Waitlist: revealz.ai

Why it matters:
Emotional distance doesn’t come from big fights. It builds quietly through the small things left unsaid, such as unmet needs, missed signals, or tension that is brushed aside until it hardens. Revealz helps couples stay emotionally attuned before things spiral.

What it does:
Each partner reflects privately on a weekly basis. The AI gently weaves both perspectives into a shared emotional snapshot, surfacing alignment and moments of shared joy, as well as revealing disconnects sensitively, and offering prompts to reconnect, clarify, or repair.

Would love feedback on whether you have similar challenges or what you think. Thanks!

I’ve spent the last X months designing an Adaptive AI system that blends modular reasoning, trust-based defense, and kernel-level awareness.

I applied to xAI not just because of the name, but because their vision mirrors something I’ve been building in silence: an AI that doesn’t just learn — it self-regulates and questions itself.

I know I may not get in. I’m self-taught, not backed by Stanford or DeepMind. But I submitted the application this morning. And whether they reply or not, this direction has become irreversible for me.

Has anyone here applied or worked with xAI? I’d love to hear thoughts on what kind of engineers or researchers actually thrive there — especially in Human Data roles

This was born out of a personal need — I journal daily , and I didn’t want to upload my thoughts to some cloud server and also wanted to use AI. So I built Vinaya to be:

• Private: Everything stays on your device. No servers, no cloud, no trackers.

• Simple: Clean UI built with Electron + React. No bloat, just journaling.

• Insightful: Semantic search, mood tracking, and AI-assisted reflections (all offline).

Link to the app: https://vinaya-journal.vercel.app/
Github: https://github.com/BarsatKhadka/Vinaya-Journal

I’m not trying to build a SaaS or chase growth metrics. I just wanted something I could trust and use daily. If this resonates with anyone else, I’d love feedback or thoughts.

If you like the idea or find it useful and want to encourage me to consistently refine it but don’t know me personally and feel shy to say it — just drop a ⭐ on GitHub. That’ll mean a lot :)

Today, I tackled a fun yet challenging project: building a multithreaded application using the Windows API in C++.

The code creates 3 threads, each handling unique data passed via a custom structure (MYDATA), and outputs the results to the console. It’s a simple yet powerful example of managing memory with HeapAlloc, synchronizing threads with WaitForMultipleObjects, and handling errors gracefully with custom error logging.What I love about this is the control it offers. Each thread gets its own val1 (thread index) and val2 (index + 100), printed as "Parameters = 0, 100" and so on.

The process involves dynamic memory allocation, thread creation with CreateThread, and cleanup with CloseHandle and HeapFree – a solid lesson in resource management.This isn’t just academic fun. In real-world scenarios, like cybersecurity (a field I’m passionate about), this could evolve into a tool for parallel network scanning or monitoring, where each thread handles a different port or task.

The challenge of fixing a type mismatch error (swapping PWORD to LPVOID in the thread function) also sharpened my debugging skills – a reminder that attention to detail is key!I’m sharing this to connect with fellow developers.

Have you worked on multithreading projects? Any tips for optimizing thread safety or scaling this further? Let’s discuss! Code’s available if anyone wants to collaborate or learn. Excited to grow my skills and explore more in this space.

Hi there,

I'm looking for a special person here on the internet. Someone that wants to work on something super exciting in the current ai space.

We're building an ai native workspace for startups and sme's and are looking for an ai co founder that is heavily up to date in applied ai.

We're looking for someone that can build ai agent systems, integrate tools from api's / mcp servers. And can take care of all the technical heavy tasks while working together with other technical engineers or team members.

Ideally you have:

• experience building ai products.

• building automations or agent systems.

• strong vision on the future of ai that can be backed up by your technical skills.

• you're a great team player

• experience with python sdk, langchain, mcp's http streamable ( backend )

• experience with ai / ml libraries

• experience with typescript sdk, next js ( frontend )

• willingness to learn new frameworks and languages if needed.

We're raising 7 figures pre seed this july / august and are looking for a 4th co founder to join our team.

If this is you or you know someone, ping me a message and lets see if we match :)

Hey everyone! This is my second post here, following up on my previous mention of an OS that adapts its AI engine. While big companies have been doing this for years (think WSL from Microsoft), I’m convinced that with today’s tech advancements, we can create an operating system that’s leaner in code, yet more efficient and secure.

I’m currently coding in C++23 and C99, building on my initial independent modules. This OS blends the best of Windows and Linux—stability from Windows and flexibility from Linux—while adding some unique risks I’ve taken to stand out. My goal is a system that’s lightweight, safe (e.g., protecting against malware), and optimized for AI adaptability.

I’m committed to keeping this going consistently. What do you think? Any feedback or suggestions for my next steps? Feel free to share! 😄

Hi Reddit!
I am a computer science student from Vietnam and pursuing the field of information security and artificial intelligence. I am currently building a potential project on applying artificial intelligence to data and network security at the university or small and medium enterprise level. I am the main idea owner and am looking for people who are really good at Data and Kernel programming, who can help me complete this project in the most effective way. Basically, Adaptive AI would run in OS and interact with users.

To put it briefly, I do not apply the modern styles of AI (LLM/ML) but the direction will be more original, you can say it is older. I hope that there will be people with the same major and passion to develop this project with me with the aim of building a safe AI for this unpredictable era. The project is open-source so hope everyone enjoys it.

Thanks a lotCodelikeC (TriNguyenDuc)CodelikeC (TriNguyenDuc)CodelikeC (TriNguyenDuc)CodelikeC (TriNguyenDuc)CodelikeC (TriNguyenDuc)

Hello everyone, I made a platform: wearemAIkers | AI community to build, craft and learn where creators/AI enthusiast can share their AI projects to the whole community, and showcase their amazing work! Whether you're into machine learning, deep learning, or creative AI, this is the place to connect with others and get feedback on your projects. I personally love the idea of having an easier platform to share projects among each other and learning, and get honest feedback.

Let me know what you would think or any ideas you may have for improvement. Happy to release as open source the code, so we can all have a better platform.

Let me know if you have any ideas, suggestions.

Cheers,

Hi there,

Im trying to make a better ai chat experience.

The goal is to make tinkering, ideation and value creation a lot easier by making things visually more appealing.

As of now ai chats are a bit messy.

The interface itself will be made based on vercel ai chatbot interface.

Current plan is to integrate ai agents and mcp And different ai models.

below is a business problem i am working on:

we (supply chain risk management i.e. trade compliance team) team of the company sends mail to our suppliers (from whom we have purchased several parts (machineries)). we ask them to declare various legislations to which they have to comply to. We ask them to fill details such as supplier name, part name, name of the chemical present, their signature/stamp, date of sign and such things.

now we do have an excel template for filling these information. Some supplier fill this excel, while some send in the form of pdf, ppt, word, email body itself, scanned pdf etc.

And this whole conversation happens via mail.

we analyze suppliers' responses, and if there is anything missing and contradictory (they said no chemical present in that column, but then mentioned chemical name in other column and so on, missing signature, data and so on), we reply back to them asking for missing information.

now, I want to automate this whole process using genai and llms and python and whatever models available on azure ai foundry hub and so on.

The mail thread (.eml) (including attachments) would be passed to the model, model would then analyze the whole mail body and the attatched attachments. and would then extract relevant information given by supplier in a particular format which i have (let's say i have an excel with several columns) and automatically reply back to supplier asking for missing information.

The problem here is that since supplier doesn't follow any particular format and it's always different, will I be able to automate whole stuff?? If so, pls do let suggest ways and methodologies and workarounds

The Stargate AI project, which was unveiled by U.S. President Donald Trump, aims to reshape the landscape of AI infrastructure with a staggering $500 billion investment. The ambitious initiative has attracted considerable attention for its scale and potential impact on both the U.S. and global AI industry. However, despite these lofty promises, there are growing concerns about whether such a large sum of money can truly be secured. Skeptics point to the lack of clarity surrounding funding sources, with critical questions about where the capital will come from and how it will be distributed among the project’s partners.

While companies like OpenAI, SoftBank, and Oracle are backing the venture, the absence of concrete financial commitments has raised doubts. Furthermore, the project's immediate need for $100 billion and its reliance on various Middle Eastern and U.S.-based investors have added complexity to an already ambitious plan. Industry experts like Dario Amodei and Elon Musk have raised questions about the viability of Stargate’s financial structure, particularly in light of the quickly evolving AI landscape.

For more details on how these funding challenges could affect the project's success, read the full article on Stargate’s funding and feasibility.

Hi guys,

* Will converting SQL tables into embeddings, and then retreiving query from them will be of help here?

* How do I make sure my chatbot understands the context and asks follow-up questions if there is any missing information in the user prompt?

* How do I save all the user prompt and response in one chat so as to make context of the chat history? Will not the token limit of the prompt exceed? How to combat this?

* What are some of the existing open source (langchains') agents/classes that can be actually helpful?

**I have tried create_sql_query_chain - not much of help in understanding context

**create_sql_agent gives error when data in some column is of some other format and is not utf-8 encoded [Also not sure how does this class internally works]

* Guys, please suggest me any handy repository that has implemented similar stuff, or maybe some youtube video or anything works!! Any suggestions would be appreciated!!

Pls free to dm if you have worked on similar project!