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Moving past speculation: How deterministic CPUs deliver predictable AI performance
For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and [...]
Why Meta bought Manus — and what it means for your enterprise AI agent strategy
Facebook and Instagram parent company Meta’s agreement to acquire Manus for more than $2 billion — announced last night by both companies and reported in The Wall Street Journal — marks one of t [...]
As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer
Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]
OpenClaw 2.0 is here, ushering in the era of 'multiplayer' AI coding: What it means for enterprises
The viral fervor we saw earlier this year around OpenClaw, the open source AI harness that turns powerful language models into autonomous workers the user can message via their favorite channels (Tele [...]
Cloudflare’s new Dynamic Workers ditch containers to run AI agent code 100x faster
Web infrastructure giant Cloudlflare is seeking to transform the way enterprises deploy AI agents with the open beta release of Dynamic Workers, a new lightweight, isolate-based sandboxing system that [...]
Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents
Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying model and judged [...]