Working on a new QA process where we use openclaw to QA openclaw with a new synthetic message channel. Orchestrator agent understands project, defines tasks (e.g. ask agent to create cron) then verifies that agent did what that. If failure -> spin up subagent to analyze+fix.
GENERATIVE AI
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Claude Code Creator Reveals His Workflow to Developers
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The creator of Claude Code just revealed his workflow, and developers are losing their minds venturebeat.com/technology/t… [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-05 20:41 UTC
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Scaling Data Ingestion Without Breaking the Platform
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Scaling Data Ingestion from Hundreds to Thousands of Sources Without Breaking the Platform tinyurl.com/49adj6yc via @LinkedIn #ArtificialIntelligence #GenerativeAI #EnterpriseAI #AIArchitecture #DataArchitecture #DataPlatforms #AIStrategy #CIO #CTO #ChiefDataOfficer #ExecutiveLeadership #AgenticAI #RAG [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-05 19:38 UTC
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TurboQuant-GPU: 5x KV Cache Compression for Any GPU
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pip install turboquant-gpu 5.02x KV cache compression for ANY GPU (RTX, H100, A100, B200) – works over @huggingface transformers – dead-simple API: compress + generate in 3 lines – 3-bit Lloyd-Max fused KV compression (0.98 cosine similarity) – outperforms MXFP4 (3.76x) and NVFP4 (3.56x) on compression Ran Mistral-7B: 1,408 KB → 275 KB KV cache (5.02x) Quickstart: github.com/DevTechJr/turboqu… Written in cuTile (CUDA 12, 13) with PyTorch fallbacks
→ View original post on X — @huggingface, 2026-04-05 19:30 UTC
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Gemma 4 Demand High, Google AI Edge Ranks #8 iOS
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Lots of people want Gemma 4! Google AI Edge is #8 on the iOS App Store for productivity apps.
→ View original post on X — @demishassabis, 2026-04-05 19:29 UTC
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Flova AI lance Seedance 2.0
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Flova AI now has Seedance 2.0 video generation model available, and you can test it with just one click from the front page.
— 🚨 AI News | TestingCatalog (@testingcatalog) 5 avril 2026
It comes with 60s–90s-long-shot videos and support for cross-scene consistency.
Testing link 👀https://t.co/KHn22fKJS2 https://t.co/l2Uy3tSLIm pic.twitter.com/J5kFBlSUugFlova AI now has Seedance 2.0 video generation model available, and you can test it with just one click from the front page. It comes with 60s–90s-long-shot videos and support for cross-scene consistency. Testing link https://
flova.ai/?refCode=CN3GS
C2J
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Qwen3.6-Plus Launches: Advanced Agentic Coding and Multimodal AI
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Qwen3.6-Plus has been added to Design Arena! Delivering state-of-the-art agentic coding from frontend designs to complex repo-level problem solving, with sharper multimodal perception and more stable performance. Qwen (@Alibaba_Qwen) （1/8）🚀 Introducing Qwen3.6-Plus: Towards Real-World Agents! 🤖 Today, we’re thrilled to drop a major milestone in our journey toward native multimodal agents. Here is what makes Qwen3.6-Plus a game-changer： 💻 Next-level Agentic Coding: Smarter, faster execution. 👁️ Enhanced Multimodal Vision: Sharper perception & reasoning. 🏆 Top-tier Performance: Maintaining leading general capabilities. 📚 1M Context Window: Available by default via our API. Built on your invaluable feedback from the Qwen3.5 era, we’re laying a rock-solid foundation for real-world devs. Get ready to experience truly transformative ✨ Vibe Coding ✨. Huge thanks to our community! Go try it out and show us what you can build. 👇 Chat: chat.qwen.ai/ API: modelstudio.console.alibabac… Blog: qwen.ai/blog?id=qwen3.6 🔔Noted：More Qwen3.6 models to come and be open-sourced! Stay tuned~ 👀#Qwen #AI #AgenticCoding #VibeCoding #Agents — https://nitter.net/Alibaba_Qwen/status/2039705104723611829#m
→ View original post on X — @deeplearn007, 2026-04-05 19:20 UTC
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HISA: Hierarchical Indexing for Efficient Sparse Attention in LLMs
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"HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention" Sparse attention can still be slow. And the slow part is often not the attention step itself, but the search step that scans the whole context to find useful tokens. This paper's HISA makes that search cheaper. It first finds the best blocks, then finds the best tokens inside those blocks. This keeps token-level precision, needs no retraining, works with the same downstream attention, and gives up to 3.75x speedup while staying close to the original quality.
→ View original post on X — @askalphaxiv, 2026-04-05 19:06 UTC
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Decentralized AI Systems Cannot Be Controlled by Corporations
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Yes but it also can’t be shut down or changed by some corporation and if it works for you the tokens generated are free.
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Edge Computing and Local LLMs: The Future of AI Privacy
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Been playing with Gemma running locally on my Pixel phone and it feels magical. To think that years ago we could not remotely imagine such a powerful LLM running in your pocket with no connectivity whatsoever. I wonder how many scenarios for LLMs will start shifting the cost to the edge to get "free" computing with added privacy and control over your data. I can't imagine how companies that only monetize inferencing and nothing else will stay above the water. Either they make/sell hardware or they must add value on top of it, otherwise they become mostly an inconvenience in the middle.
→ View original post on X — @clementdelangue, 2026-04-05 18:31 UTC