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Public story · 2026-03-21 · source-backed
This paper derives the "1/W law": tokens per watt halves every time effective context window doubles. Translation: which GPU services which context is a more powerful energy lever than buying newer GPUs. For large-context agentic deployments, your routing architecture matters more than your hardware generation. Directly actionable for infrastructure planning.
Each link below shares sources, entities, or timing with this story.
arXiv 2607.11683 splits GraphRAG into separate entity-extraction and consolidation stages using DBSCAN-backed deduplication, LLM summarization and Leiden community detection instead of a single pass. Meno-Lite-0.1 (7B) exceeds Qwen2.5-32B by +12.5% relative harmonic mean on KG...
SOL-ExecBench measures AI-generated GPU kernels against theoretical hardware speed-of-light limits rather than relative rankings. Current agentic systems achieve 40–70% of theoretical hardware efficiency, with clear headroom. As agents increasingly generate and optimize GPU co...
ArXiv 2603.17368 proposes evaluating safety policy before chain-of-thought generation rather than after. Models that reason first and apply safety second can be manipulated through the reasoning trace itself. Reordering substantially improves alignment without degrading benchm...
Puro-2B trains from scratch on up to 1.4 trillion tokens in FP8 on consumer GPUs, approaching Qwen2.5-1.5B under the authors' protocol, against a stated $1.5M+ to train Llama-3.2-3B and $700K+ to reproduce SmolLM3-3B. The savings stack rather than coming from one trick: hardwa...
A large-scale analysis finds MCP clients issue blanket approvals to servers without per-caller permission scoping, enabling privilege escalation where any caller inherits another's elevated privileges. Directly actionable for multi-tenant MCP deployments. Source
Introduces temporal causal diagnostics to distinguish legitimate task execution from injected manipulation in multi-turn agent interactions, plus context purification to neutralize poisoned content. Directly applicable to anyone building agents that call external tools. arXiv...
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