Reading up on Google Cloud

Companies overspend on AI by using costly frontier models for routine work, needing better defaults, outcome-based measurement, and cultural efficiency incentives to unlock far greater value.

Google Cloud introduces the Open Knowledge Format (OKF), an open specification for representing curated knowledge as markdown files with YAML frontmatter to enable portable, agent-readable context.

Google raises $80B in equity, including $10B from Berkshire Hathaway, to fund AI capex, signaling demand vastly exceeds expectations and capital is becoming a commodity.

Google reports state-backed hackers used an AI model to discover and exploit a zero-day bug for the first time, signaling a new era of AI-assisted cyberattacks.

Developer portals should optimize for AI coding agents by structuring documentation with llms.txt, token-efficient formatting, and capability signaling via skill.md.

Google completed its acquisition of cloud security startup Wiz after a year-long process, aiming to integrate its platform into Google Cloud.

Anthropic commits $100 million to the Claude Partner Network, offering training, technical support, and market development to partners helping enterprises adopt Claude.

Anthropic's compute strategy—multi-hyperscaler, custom-silicon integration—gives it a 30–60% cost-per-token advantage over Nvidia-dependent OpenAI, a compounding edge as inference scales.

Google's Gemini now processes 10 billion tokens per minute (52x YoY) while reducing serving costs by 78%, driving cloud revenue up 48% to $17.7 billion.

An AI tool from Google DeepMind, tested by U.S. Ski and Snowboard athletes, revealed flaws in Olympic snowboarder Maddie Mastro's crippler trick.

AWS is fine but faces real challenges: the AI gap is closing, talent attrition threatens operational excellence, and 2026 will test execution.

Getting a Gemini API key is frustrating due to confusing onboarding, billing hurdles, and account restrictions, as highlighted by Hacker News commenters.

Google launches fully-managed remote MCP servers for its cloud services, enabling AI agents to interact with tools like Maps, BigQuery, and GKE through a unified, governed endpoint.