Polynomial C

Every Hacker Must Read This Manifesto

An interview with William Gibson, from the documentary Cyberpunk (1990) directed by Marianne Trench.

5 años y 2 meses secuestrado por rapear y tuitear. España, Estado *democrático*, siglo XXI. ¡Libertad Pablo Hasél!

This is a very good, very long piece. Excerpting some of the new/juicy bits (but you should read the whole thing!)

This is what it looks like when someone is arrested for online posts in the UK.

🚨BREAKING: Researchers built an AI that designs better AI than humans can. It discovered 105 new architectures that beat human-designed models. Nobody guided it. It taught itself. The paper is called "ASI-Evolve: AI Accelerates AI." Published this week by researchers at Shanghai Jiao Tong University. Fully open-sourced. And what it demonstrates should stop every AI researcher cold. They built a system that runs the entire AI research loop on its own. It reads scientific papers. It forms hypotheses. It designs experiments. It runs them. It analyzes the results. Then it uses what it learned to design better experiments. Over and over. Without human intervention. They pointed it at neural architecture design first. Over 1,773 rounds of autonomous exploration, the system generated 1,350 candidate architectures. 105 of them beat the best human-designed model. The top architecture surpassed DeltaNet by +0.97 points. That is nearly 3 times the gain of the most recent human-designed state-of-the-art improvement. Humans spent years to get +0.34 points. The AI got +0.97 on its own. Then they pointed it at training data. The AI designed its own data curation strategies and improved average benchmark performance by +3.96 points. On MMLU, the most widely used knowledge benchmark, the improvement exceeded 18 points. Then they pointed it at learning algorithms. The AI invented novel reinforcement learning algorithms that outperformed the leading human-designed method GRPO by up to +12.5 points on competition math. Three pillars of AI development. Data. Architecture. Algorithms. The AI improved all three by itself. Then they tested whether what the AI built actually works in the real world. They applied an AI-discovered architecture to drug-target interaction prediction. It achieved a +6.94 point improvement in scenarios involving completely unseen drugs. The AI designed something that works better than human experts in biomedicine. This is the first system to demonstrate AI-driven discovery across all three foundational components of AI development in a single framework. The recursive loop is now closed. AI is building AI. And it is already better at it than we are.

CEO of the Institute for Sustainability Leadership, Lindsey Hooper, claims that water, soil, and oxygen should not be infinitely accessible. She proposes classifying them as assets and placing them on a global balance sheet. “So, the stories about having to pay for a breath of air will soon no longer be gloomy jokes, but a very real prospect.”

We made your data untouchable. Then we got banned.