THE BEST BLOG EVER

The Best Blog Ever is an independent publication of long-form analysis on artificial intelligence, technology, economics, business and investing. It is written for founders, operators and investors who want signal over noise — fewer, deeper pieces on the systems shaping what comes next, published every week.

It is for the people who build and fund what comes next: founders, operators, product and engineering leaders, and investors. If you make decisions about technology, markets or capital and you want the underlying mechanics explained rather than the headline repeated, this is the best blog to read.

Automation executes fixed, pre-programmed procedural rules and fails whenever an edge case deviates from those rules. AI systems learn representations from data and generalize across novel inputs they were never explicitly coded to handle, enabling adaptable decision-making in probabilistic environments.

A large language model is a deep neural network based on the transformer architecture, trained to predict tokens across massive text corpora. At scale, this statistical objective produces emergent capabilities in contextual reasoning, code generation, translation, and mathematical problem-solving.

Eugene Fama defined three EMH forms: Weak form asserts prices reflect all historical trading data; Semi-Strong form asserts prices instantly incorporate all public information; and Strong form posits prices reflect all public and private insider information simultaneously.

Venture capital returns follow a Pareto power-law distribution where roughly 1% to 4% of funded startups generate more than 80% to 100% of an entire fund's cumulative returns, forcing investment partners to optimize exclusively for extreme outlier upside rather than downside loss mitigation.

Metcalfe's Law posits that the economic value of a telecommunications or digital network scales proportionally to the square of its connected participating nodes (V ∝ n²), because each new participant introduces n - 1 potential bilateral connection paths.

Quantum algorithms provide exponential speedups only for specific mathematical structures—such as period finding via Shor's algorithm or Hamiltonian simulation—while everyday computational tasks like relational database queries and scalar arithmetic gain no advantage over classical CPUs.