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 follows fixed, pre-programmed rules and cannot generalize beyond them, while AI learns representations from data and applies them to novel inputs it was never explicitly programmed to handle. The distinction determines what breaks when conditions change and what new capabilities become possible.

A large language model is a neural network trained to predict the next token in a sequence across massive text datasets. At sufficient scale, this simple objective produces systems capable of reasoning, code generation, translation, and synthesis.

The weak form holds that prices reflect all past trading data, so technical analysis cannot generate consistent excess returns. The semi-strong form holds that prices reflect all public information, ruling out persistent alpha from fundamental analysis. The strong form holds that prices reflect all information, public and private, so even insider knowledge cannot beat the market consistently.

General partners typically charge a 2% annual management fee and take 20% of profits above a hurdle rate, known as carried interest. Returns are driven by the power law, where the top handful of investments account for more than all of a fund's gains.

A network effect exists when a product becomes more valuable to each user as more users join it. A messaging app, for example, is worth more once everyone you know is already on it.

No. Quantum computers offer advantages only for specific problem types like optimization, quantum simulation, and breaking certain cryptography. For everyday tasks such as databases and web serving, classical computers remain faster, cheaper, and more reliable.