I asked AI: Who benefits financially if Europe brings in low/no income low educated non-culturally aligned welfare seekers from the third world? "There are identifiable financial beneficiaries, and this is well-documented in immigration economics literature. Here's who actually
SYSTEMS
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Energy as the Ultimate Constraint for AI Development
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Energy is the constraint. Unlock it, and everything else follows. https://t.co/kwThpiO939
— Nina Schick (@NinaDSchick) 14 mars 2026Energy is the constraint. Unlock it, and everything else follows.
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Agentic RAG: The 9-Layer Stack for Production AI Systems
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Agentic RAG = 9-layer stack Infra → Eval → Models → Orchestration
→ Vector DB → Embeddings → Ingestion
→ Memory → Safety RAG alone isn’t enough.
Add planning, memory, governance. That’s production AI. #AgenticAI #RAG #LLM #AIStack -
Tech Industry Automation Potential and Current Capabilities
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@euacc still going We crowdsourced and submitted the ideas and the European politicians Up to them to legislate them
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AI players generate team radio messages based on battlefield situations
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No it's good because outside the big cities But the big cities / capitals in Europe getting rekt
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IQ Era Trends: Intelligent Devices and AI-Native Networks
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MWC 2026 — The IQ Era Is Here And These Are the Trends Every Business Leader Needs to Watch From intelligent devices to AI-native networks, Mobile World Congress 2026 revealed how intelligence is becoming embedded across technology and infrastructure. Read more
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Use AI for Cost Savings and Deploy on a VPS
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Yeah I don't believe in organized conspiracies, more in that some people get rich off things, but not exactly sure how
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Full Model GPU Offload Required to Avoid Performance Bottlenecks
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Partial offloads wouldn’t work because this will create a severe bottleneck That’s why the full model has to be offloaded to the GPU to see actual performance gains
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GPU Offloading Offers 1800Gbps vs DGX Spark’s 273Gbps
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Yeah that is definitely faster because you’re fully offloading to the GPU which runs at ~1800Gbps in comparison to DGX Spark’s 273Gbps
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DGX Spark Qwen3 27B Inference Speed Discrepancy Questioned
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Also, I don’t know how OP is getting Qwen3.5 27B @ 30 tps on the DGX Spark Doesn’t make sense for a Dense model on DGX Spark’s Unified Memory (273 Gbps) (My personal experiments showed it’s 4 tokens/sec) Very curious how you got that @TeksEdge