#hype

Autonomous agents are the hottest thing in AI. Most of them don't work. Let's talk about why people keep buying them anyway.

Hyperliquid routes 99% of perp fees, and 99% of spot fees since 30 Aug 2025, into the Assistance Fund to buy HYPE. The exact split, what the burn vote did not change, and the 38.9% still unissued.

Dissecting AI agent hype through framework adoption, benchmark realities, and production engineering tradeoffs across model ecosystems.

2.5 million aimock installations tell a story the AI hype cycle doesn't: production AI agents are crashing against reliability, observability, and determinism problems nobody's solving.

Move beyond the demo hype. A technical deep-dive into the reliability, observability, and cost challenges of shipping autonomous AI agents in production today.

AI launches have hardened into a genre with fixed conventions. Once you can see the template, you cannot unsee it.

When a thousand companies build the same wrapper around the same three models, they converge on the same everything — including the same fragility.

Benchmark scores are the industry's favourite number and one of its least honest. Here is why the leaderboard keeps lying to you.

The gap between AI agent demos and production reality. Hard lessons on observability, cost, evaluation, and architectural patterns that actually work.

Why AI agent demos look nothing like production systems — and the concrete engineering work that bridges the gap.

Critical Analysis of OpenAI's Marketing Strategy: A Pattern of Disingenuous...

Introduction: The Illusion of Falling Behind Open Twitter or YouTube, and you’ll be...