does anyone have advice for how to run a 754b parameter model at home? i am quite serious.
OPEN SOURCE
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Open-Source Claude Alternative with Local AI and Voice Support
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If you found it insightful, reshare with your network.
— Akshay 🚀 (@akshay_pachaar) 8 avril 2026
Find me → @akshay_pachaar ✔️
For more insights and tutorials on LLMs, AI Agents, and Machine Learning! https://t.co/GaVYhQRixwIf you found it insightful, reshare with your network. Find me → @akshay_pachaar ✔️ For more insights and tutorials on LLMs, AI Agents, and Machine Learning! Akshay 🚀 (@akshay_pachaar) Another blow to Anthropic! Devs built a free and better Claude Cowork alternative: – 100% local – voice-enabled – works with any LLM – MCP tool extensibility – obsidian-compatible vault – background agents & web search – automatic knowledge graph creation 100% open-source. — https://nitter.net/akshay_pachaar/status/2041856590341677378#m
→ View original post on X — @akshay_pachaar, 2026-04-08 12:32 UTC
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Free Open-Source Claude Alternative with Local AI and MCP Support
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Another blow to Anthropic!
— Akshay 🚀 (@akshay_pachaar) 8 avril 2026
Devs built a free and better Claude Cowork alternative:
– 100% local
– voice-enabled
– works with any LLM
– MCP tool extensibility
– obsidian-compatible vault
– background agents & web search
– automatic knowledge graph creation
100% open-source. pic.twitter.com/8KHJGzP71GAnother blow to Anthropic! Devs built a free and better Claude Cowork alternative: – 100% local – voice-enabled – works with any LLM – MCP tool extensibility – obsidian-compatible vault – background agents & web search – automatic knowledge graph creation 100% open-source.
→ View original post on X — @akshay_pachaar, 2026-04-08 12:32 UTC
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Top AI Stories: Anthropic, Open Source, Tools and Compute
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Top stories in AI today: – Anthropic’s Project Glasswing shows off Mythos AI
– Open-source AI pushes forward with Z AI’s GLM-5.1
– Get to inbox zero with this Claude prompt
– Anthropic continues to rise, locks in 3.5GW compute
– 4 new AI tools, community workflows, and more -
xAI Trains 7 Models on Colossus 2
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xAI is training 7 different models on Colossus 2 in different sizes from 1T to 15T, including Imagine V2. Not soon
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Austrian Tech Leaders Form Strategic Alliance in Developer Community
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Breaking News: The Austrian Token Mafia is joining forces. 🔥🇦🇹 Mario Zechner (@badlogicgames) People of pi. BIG NEWS. I've sold out. Let me know how you feel about this in the comments below. mariozechner.at/posts/2026-0… — https://nitter.net/badlogicgames/status/2041808475336941725#m
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FLUX.2 Small Decoder: 1.4x Faster Drop-in Replacement Released
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Releasing FLUX.2 Small Decoder: a faster, drop-in replacement for our standard decoder. → ~1.4x faster → Lower peak VRAM – decode larger images without running out of memory → Minimal quality loss → Works with FLUX.2 out of the box Especially impactful for real-time and larger resolutions pipelines.
→ View original post on X — @scobleizer, 2026-04-08 09:58 UTC
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Anthropic’s Security Capability: Open Source vs Centralized Control
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On Mythos: I know it feels utterly wrong and bad to say it's better/safer if this capability was widely available and e.g. open sourced, but it actually might be. Anthropic could now be sitting on so many zero-days for countless companies, institutions, etc… It's noble of them to not deploy and build this defensive coalition first, but historically these kinds of power overhangs are very risky In the short term, it's positive that this capability is not open; IMO in the long term, we're all better off if it's diffused so that power is not centralized with one actor (no matter how noble). So kudos to Anthropic for taking the step; now the open source frontier will and should catch up; it'll be a bloodbath at first but it'll lead to better security mindset and infra
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OpenDataLoader: Free Tool to Extract PDFs as Markdown
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🚨 Extracting data from PDFs just got solved. Someone open-sourced a tool that turns PDFs into Markdown at 100 pages a second 🤯 It's called OpenDataLoader. It runs flawlessly on CPU and decodes tables, complex layouts, and nested structures like an absolute pro. Best part? 100% free and open-source. Grab the repo link in the 🧵↓ [Translated from EN to English]
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Cheers: Unified Multimodal Model for Image Understanding Generation
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AI could understand and generate images from a single, efficient model!
— 机器之心 JIQIZHIXIN (@jiqizhixin) 8 avril 2026
Tsinghua University, Xi'an Jiaotong University, and University of Chinese Academy of Sciences present Cheers!
This unified multimodal model decouples fine image details from their core semantic meaning.… pic.twitter.com/s0MgsejA97AI could understand and generate images from a single, efficient model! Tsinghua University, Xi'an Jiaotong University, and University of Chinese Academy of Sciences present Cheers! This unified multimodal model decouples fine image details from their core semantic meaning. This new architecture stabilizes AI's understanding while boosting image generation fidelity by selectively re-injecting those details. Cheers matches or outperforms advanced unified multimodal models in both visual understanding and generation. It notably beats Tar-1.5B on GenEval and MMBench, using only 20% of the training cost and achieving 4x token compression. Breakthrough efficiency! Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation Project: github.com/AI9Stars/Cheers Model: huggingface.co/ai9stars/Chee… Paper: arxiv.org/abs/2603.12793 Our report: mp.weixin.qq.com/s/EK6cyCJz5… 📬 #PapersAccepted by Jiqizhixin