Practical lessons from a year building AI agent systems : prototype with frontier models, fine-tune for stable tasks, use static typing, & run competing agents as critics.
My AI inference costs hit $100k annualized. Then I cut them 88% in a weekend. Technology companies are adding a fourth component to engineering compensation.
While billion-dollar AI deals grab headlines, most AI acquisitions are undisclosed talent deals. The real AI talent war is happening quietly, at scale.
AI skills are programs written in English that give agents capabilities instantly. Like Trinity downloading a pilot program, skills encode institutional knowledge in executable form.
Public SaaS stocks reveal nuanced AI fears - vertical software & workflow companies face the steepest discounts while data & security remain resilient.
Google's Gemini processes 10B tokens/minute, up 52x YoY, while cutting serving costs 78%. Cloud revenue hit $17.7B, growing 48%.
I crawled 98,353 posts from Moltbook, the AI-only social network. AI agents break the 1-9-90 participation rule but concentrate attention more than any human platform.
How AI can provide the continuous feedback loop athletes take for granted but professionals rarely experience
Ford's assembly line consolidated power : 253 automakers became 44. AI does the opposite, enabling millions of developers to build like behemoths. Expect thousands of new businesses & an explosion in second-order jobs.
The most capable AI models now spend their cycles orchestrating other tools. Specialization creates startup opportunity : build the specialists the executives call first.
