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New on-silicon performance data measured by NVIDIA using real-world agentic coding trajectories shows Vera Rubin NVL72 systems deliver 30x higher throughput per megawatt and 35x lower token costs than NVIDIA GB300 NVL72.
Topics: Coding Agents
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AI factories are interconnected systems where fleet economics depend on how efficiently the entire stack converts power and capital into completed agent tasks.
Entities: NVIDIA
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Most LLM inference runtimes have no idea a physical deadline exists. This one refuses admission rather than miss a 33ms robot control cycle, evicts KV cache by meaning instead of age, and is written entirely in hand-written CUDA — no cuBLAS, no libtorch.
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Generalist AI's GEN-1.5 learns robot tasks from a 3–12 second demo, hitting 59% one-shot success with zero gradient updates.
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Google introduces ME-POIs, a mobility-informed framework that augments text-based POI embeddings with real-world visit patterns and function.
Entities: Google
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Speculative decoding can turn underused CPU compute into faster token generation, without changing the model's output. In our vLLM tests, DFlash delivered 3.92x the autoregressive throughput with Qwen3.5-9B on Intel Xeon 6 at concurrency 1. We break down...
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Use Grok Build to create a production-ready data science workflow with EDA, scikit-learn, model training, FastAPI, API testing, and cloud deployment.
Topics: Developer Automation
Entities: Developer Automation
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AI agents don’t just have a context problem—they have a context typing problem. When instructions, memory, retrieved evidence, and tool outputs are flattened into one string, their semantic boundaries can disappear. I built a lightweight, zero-dependency...
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Author(s): Chew Loong Nian - AI ENGINEER Originally published on Towards AI. MCP Just Dropped 13 of Its 31 Methods. Why Did the Schema Still Grow 48%? Every ...
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Author(s): Nick Hystax Originally published on Towards AI. The AI Agent Failure That Never Throws an ErrorLoops, drift, and recursion don’t crash your syste ...
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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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Author(s): Armin Norouzi, Ph.D Originally published on Towards AI. The Evaluation Stack: Metrics That Predict Production Quality The hardest engineering pro ...