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07/15/2026
"At O’Reilly’s recent AI Superstream focused on OpenClaw and the broader ecosystem of locally run and self-hosted AI agents, five speakers, each working at a different layer of the stack, explored patterns for addressing many of the challenges developers will face implementing an agentic system, from risky third-party extensions, hallucinated compliance, and spaghetti codebases only an AI can read to cost overruns from misconfigured models, supply chain attacks, and worse." Learn more on our :
Don't Neglect the Operational Groundwork What the OpenClaw Superstream taught us about running agents safely in production
Falling per-token prices aren't enough to keep enterprise AI costs in check. Today, one top token spender is burning through 100 billion a month, the equivalent of analyzing hundreds of thousands of books. Christina Stathopoulos, MSc argues that tokenmaxxing was always a flawed productivity metric, and moves like Amazon shutting down its token leaderboard and Uber capping spending suggest companies are starting to focus on maximizing value instead.
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