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#haikuos

2 posts2 participants2 posts today
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Begasus

Keeping on track with Krita (alpha6 build from master source) and Qt6 builds together with upstream developers, with PyQt6 enabled I can now also use the python scripts in Krita on Haiku. 👍 (not that I would know how to, as much as I don't know how to code) 😇

Krita alpha6 with Qt6/PyQt6/python on Haiku 64bit R1B5
#HaikuOS#Krita#Qt6
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Atomozero

📣 Check out this fascinating development in the #HaikuOS community!

Developer Nexus6 has published a comprehensive three-part series on implementing AI tools on Haiku OS without requiring specialized hardware.

Using #Mesop + #Autogen, they've created a lightweight AI stack that works on modest hardware like a #ThinkPad T480s - proving that alternative operating systems can participate in the AI revolution through thoughtful optimization.

desktoponfire.com/haikuos/soft

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Nexus6

📢 New blog post: "Mesop + Autogen: The Definitive AI Stack for Haiku?"
After exploring many frameworks in my previous articles, I've found a combination that actually works well on Haiku - with minimal dependency headaches! Plus, I'm introducing my AI assistant project "Otto".
No more wrestling with Rust crates or complex installations. Check it out if you're interested in AI development on Haiku without the pain!

blog.nexus6.me/new%20adventure

Nexus6's Blog · Mesop+Autogen: The Definitive AI Stack for Haiku?It’s an exciting time to be a Haiku user interested in AI. While the rest of the computing world seems to be rushing headlong into increasingly resource-hungry models and frameworks, those of us in the Haiku community have been taking a more measured approach. After all, when your operating system is designed with efficiency and responsiveness as core principles, you tend to look at the AI landscape a bit differently.
#HaikuOS#AI#MesopFramework
Public
Nexus6

I've just published the first part of my guide on setting up an AI/LLM stack in Haiku. If you've been curious about running AI models on alternative operating systems, this one's for you!
🔗 blog.nexus6.me/new%20adventure
#HaikuOS #langchain #openai #llamacpp

Nexus6's Blog · Setting up an AI/LLM Stack in Haiku: A Practical Guide part II wanted to push the boundaries of what Haiku can do, so I decided to experiment with setting up a complete AI stack on it. My goal was to see if Haiku could actually run modern Large Language Models without GPU acceleration by using the most used frameworks like LangChain. While mainstream operating systems often require powerful hardware for AI workloads, I was curious if Haiku might offer a practical alternative for enthusiasts who want to explore AI without investing in specialized equipment. In this article, I’ll walk you through how I built a functional Python environment for AI in Haiku and demonstrate how to leverage essential components for working with LLMs, all running on modest hardware like my ThinkPad T480s.
Public
Compsci Weekly

Haiku loves Nvidia (porting Nvidia GPU driver)

discuss.haiku-os.org/t/haiku-n

Discussions: discu.eu/q/https://discuss.hai

Haiku Community · Haiku ❤ Nvidia (porting Nvidia GPU driver)As many people already knows, Nvidia published their kernel driver under MIT license: GitHub - NVIDIA/open-gpu-kernel-modules: NVIDIA Linux open GPU kernel module source (I will call it NVRM). This driver is very portable and its platform-independent part can be compiled for Haiku with minor effort (but it need to implement OS-specific binding code to be actually useful). This is very valuable for Haiku because Linux kernel GPU drivers are very hard to port and it heavily depends on Linux kernel...
#compsci#graphics#haikuos
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