makes me think… the Hugging Face infra team is one of the best in the world right now. The scale is now truly insane, randoms are spamming 1T×10 downloads all day lol
COMPUTING
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Unified Namespace and MQTT Protocol Scale Digital Tool Integration
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The Unified Namespace architecture reduces integration costs and lets teams scale new digital tools in hours instead of weeks.
— Lucian Fogoros (@fogoros) 31 mars 2026
MQTT protocol allows every device to publish data with full context. Applications subscribe without disrupting production networks. pic.twitter.com/tcfyWoqUDzThe Unified Namespace architecture reduces integration costs and lets teams scale new digital tools in hours instead of weeks.
MQTT protocol allows every device to publish data with full context. Applications subscribe without disrupting production networks. -
High Dimensional Probability Conference Northwestern 2026
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sites.northwestern.edu/highd… [Translated from EN to English]
→ View original post on X — @thegautamkamath, 2026-03-31 19:39 UTC
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Replace Krill with Local AI Solution for Better Performance
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No, use a local AI, it's far more effective. We need to remove krill. It's sub-par compared to local AI.
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LLMs as CPUs: Statistical Processing and Agent Operating Systems
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LLM = CPU (data: tokens not bytes, dynamics: statistical and vague not deterministic and precise)
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GenAI and RAG Automate Industrial Diagnostics and Troubleshooting
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GenAI and RAG instantly search manuals, logs, and forums to provide probable cause and recommended action.
— Lucian Fogoros (@fogoros) 31 mars 2026
No more digging through 6,000-page turbine manuals. AI agents layer over ML tools to give context to anomalies.
From alert to answer in seconds. pic.twitter.com/eYiljr3nPuGenAI and RAG instantly search manuals, logs, and forums to provide probable cause and recommended action.
No more digging through 6,000-page turbine manuals. AI agents layer over ML tools to give context to anomalies.
From alert to answer in seconds. -
Complete AI Stack: Tools and Frameworks for Modern Development
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gemini for research copilot for coding claude for deep searches and agentic code openai for quick searches cerebras for faster ai inferences tavily for search api firecrawl for web scraping langchain for ai app development langsmith for agentic ai observation fastAPI for backend server docker for containerising the app streamlit for frontend interface
→ View original post on X — @avikumart_, 2026-03-31 17:40 UTC
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Agentic Inference: Hybrid GPU-RDU Hardware Strategy for Token Serving
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Agentic inference isn’t a “future trend” anymore — it’s the default. The real question: how do you serve fast, premium tokens without building a multi‑MW Frankenstack? Our take: GPUs for prefill, RDUs for decode. Hybrid > GPU‑only. 🔗 sambanova.ai/blog/agentic-in…
→ View original post on X — @sambanovaai, 2026-03-31 17:30 UTC
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Compute Wars: Anthropic’s Competitive Advantage in AI Race
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Compute wars – the current state, very clear how much Anthropic benefited from the recent influx of compute.
— Peter Gostev (@petergostev) 31 mars 2026
The interactive version of this site linked in the next post https://t.co/bqc9i1jTw1 pic.twitter.com/gktJT9cTQZCompute wars – the current state, very clear how much Anthropic benefited from the recent influx of compute. The interactive version of this site linked in the next post
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Innventure CEO Claims Stock Undervalued, Accelsius at Center
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A very hot play on AI data centers, Accelsius, continues to be at the heart over the debate about conglomerate Innventure. Innventure CEO says his stock is too cheap; it’s hard to say Bill Haskell, CEO of conglomerate Innventure, which owns a very talked-about maker of technology to cool Nvidia GPUs, Accelsius, says his company’s stock is too cheap relative to the value of Accelsius. Maybe so, although Innventure and Accelsius are still early-stage ventures with a lot to prove. thetechnologyletter.com $INV
→ View original post on X — @tiernanraytech, 2026-03-31 16:08 UTC