Just as feature engineering defined success in classical ML, reward function design now determines which AI agents win. Today it's craft—tomorrow it may require entirely new architectures.
As AI agents handle more tasks, deployment location matters. Enterprises need their own cloud for control & compliance, while consumers benefit from client-side agents for privacy & speed.
As AI becomes our primary news source, are we returning to an era of ABC, NBC & CBS—where three or four major models filter & shape how we understand the world?
Google's AI token processing reaches 1.3 quadrillion monthly tokens in October 2025, but growth decelerates from 250T to 107T per month. What's driving the slowdown?
Comprehensive guide to implementing AI in startups. Strategy fundamentals, implementation approach, data requirements, team structure, & scaling AI capabilities.
OpenAI's Codex went from intern to senior engineer in 12 months. At 92% adoption & 72% more pull requests, the architect-implementer workflow proves AI has graduated beyond junior-level work.
Early adopters are testing productivity systems in hours instead of weeks. The signals suggest AI prompts will eventually subsume the $30 book market.
Nvidia's $110B vendor financing strategy mirrors Lucent's telecom bubble playbook. Analyzing customer concentration, GPU-backed debt, depreciation schedules & cash flow patterns to assess AI bubble risks.
AI demands unified infrastructure. Learn how Netflix & Stripe rebuilt their stacks with vector databases, context layers & real-time observability to fuse data & AI systems.
Discover how Google's Agent Development Kit patterns reduced LLM token usage by 41.2% & cut costs by 41.7%. Learn the unified tool approach that transformed dozens of specialized Ruby tools into enterprise-grade agent automation with built-in safety & state management.
