Cause the original BLUG website is too old and lack of security, so we plan to fully rework for this website.
It will following such steps:
- Finding a good CMS / Blog frame for the website.
- Finding a mailing list / forum frame
- Test the new frame
- Add some test content
- Merging database from old website (it may open another project)
- Deploy the new website
Beijing GNU/Linux User Group (BLUG) Website needs:
- A blog or a news track for event announcements
- A wiki for project developing and post some HOWTOs
- A forum or mailing list for discussing
- A gallery frame for posting our event photos
- A donation(contribution) page for list who donate BLUG
- A web IRC for easy accessing BLUG IRC channel
- A optional event calendar
- A optional planet for showing BLUG members blog
It would be a huge project....a long to go...
This project is part of:
Hack Week 13
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SUSE AI Meets the Game Board by moio
Use tabletopgames.ai’s open source TAG and PyTAG frameworks to apply Statistical Forward Planning and Deep Reinforcement Learning to two board games of our own design. On an all-green, all-open source, all-AWS stack!
Results: Infrastructure Achievements
We successfully built and automated a containerized stack to support our AI experiments. This included:
- a Fully-Automated, One-Command, GPU-accelerated Kubernetes setup: we created an OpenTofu based script, tofu-tag, to deploy SUSE's RKE2 Kubernetes running on CUDA-enabled nodes in AWS, powered by openSUSE with GPU drivers and gpu-operator
- Containerization of the TAG and PyTAG frameworks: TAG (Tabletop AI Games) and PyTAG were patched for seamless deployment in containerized environments. We automated the container image creation process with GitHub Actions. Our forks (PRs upstream upcoming):
./deploy.sh
and voilà - Kubernetes running PyTAG (k9s
, above) with GPU acceleration (nvtop
, below)
Results: Game Design Insights
Our project focused on modeling and analyzing two card games of our own design within the TAG framework:
- Game Modeling: We implemented models for Dario's "Bamboo" and Silvio's "Totoro" and "R3" games, enabling AI agents to play thousands of games ...in minutes!
- AI-driven optimization: By analyzing statistical data on moves, strategies, and outcomes, we iteratively tweaked the game mechanics and rules to achieve better balance and player engagement.
- Advanced analytics: Leveraging AI agents with Monte Carlo Tree Search (MCTS) and random action selection, we compared performance metrics to identify optimal strategies and uncover opportunities for game refinement .
- more about Bamboo on Dario's site
- more about R3 on Silvio's site (italian, translation coming)
- more about Totoro on Silvio's site
A family picture of our card games in progress. From the top: Bamboo, Totoro, R3
Results: Learning, Collaboration, and Innovation
Beyond technical accomplishments, the project showcased innovative approaches to coding, learning, and teamwork:
- "Trio programming" with AI assistance: Our "trio programming" approach—two developers and GitHub Copilot—was a standout success, especially in handling slightly-repetitive but not-quite-exactly-copypaste tasks. Java as a language tends to be verbose and we found it to be fitting particularly well.
- AI tools for reporting and documentation: We extensively used AI chatbots to streamline writing and reporting. (Including writing this report! ...but this note was added manually during edit!)
- GPU compute expertise: Overcoming challenges with CUDA drivers and cloud infrastructure deepened our understanding of GPU-accelerated workloads in the open-source ecosystem.
- Game design as a learning platform: By blending AI techniques with creative game design, we learned not only about AI strategies but also about making games fun, engaging, and balanced.
Last but not least we had a lot of fun! ...and this was definitely not a chatbot generated line!
The Context: AI + Board Games
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Machines can contains various combinations of add-ons and are often modified during the time.
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Create an Ansible automation able to take care of add-on (repo list) configuration using metadata as reference
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zypper_repository_list
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Created WIP project Ansible-add-on-openSUSE
Make more sense of openQA test results using AI by livdywan
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AI has the potential to help with something many of us spend a lot of time doing which is making sense of openQA logs when a job fails.
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Allison Average has a puzzled look on their face while staring at log files that seem to make little sense. Is this a known issue, something completely new or maybe related to infrastructure changes?
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Day 2
- Using NotebookLLM (Gemini) to produce conversational versions of blog posts
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- Asking open-webui, persons with prior experience and conducting a web search for advice
Highlights
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- Convincing the chat interface to produce code specific to my use case required very explicit instructions.
- Asking for advice on how to use open-webui itself better was frustratingly unfruitful both in trivial and more advanced regards.
- Documentation on source materials used by LLM's and tools for this purpose seems virtually non-existent - specifically if a logo can be generated based on particular licenses
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- Chat interface-supported development is providing good starting points and open-webui being open source is more flexible than Gemini. Although currently some fancy features such as grounding and generated podcasts are missing.
- Allison still has to be very experienced with openQA to use a chat interface for test review. Publicly available system prompts would make that easier, though.
Saline (state deployment control and monitoring tool for SUSE Manager/Uyuni) by vizhestkov
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https://github.com/rjpmestre/mortgage-plan-analyzer
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- Financial plan can be hard/boring to follow. Create a simple viewing mode that summarizes monthly values and their annual sums.
Hackweek 24 update
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- Support multi languages (added english);
- Added examples;
- Adjustments to fonts and sizes;
- Fixed loading screen;
- Dependencies adjustments;
Hackweek 23 initial release
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- Banco de Portugal: Main simulator all portuguese banks have to follow ( https://clientebancario.bportugal.pt/credito-habitacao )
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- Boxes full of papers (taxes, invoices, IDs, certificates, exams, and else).
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Similar proposals
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Goal for this Hackweek
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It should be able to show photos and videos at least.
Resources
None so far, this is just an idea.