note

Work 6 | The Invisible Order Book (Part 2: HBM Edition) Chapter 4: Synthesis — The Recursive Machine and the Completion of Observational Theory

So far, we have seen how demand surrounding HBM passes through three layers. In Layer 1, demand is inscribed as a "reservation"; in Layer 2, that reservation hits physical constraints and is converted ...
LinkedIn

Last 30 Days in AI Trends: Recursive Self-Improvement, AI Work Receipts, Enterprise Proof, Local Agents, and the New Accountability Layer

The headline is easy to miss because it sounds like another AI productivity story. Claude wrote more code. Engineers shipped more. AI helped debug. Models got faster. That is the surface. The deeper ...
the-decoder

Sakana AI bets AI that improves itself can break the compute arms race of frontier labs

Japanese startup Sakana AI has founded the "Sakana AI RSI Lab," a research group focused on recursive self-improvement (RSI). The goal is to explore how AI can speed up and improve the development of ...
IEEE

A Lattice-Based Method for Recovering the Unknown Parameters of Truncated Multiple Recursive Generators with Constant

Abstract: Multiple recursive generators with constant, as the high-order extension of linear congruence generators, form an important class of pseudorandom number generators that are widely used in ...
IEEE

Recursive Polynomial Method for Fast Collision Avoidance Maneuver Design

Abstract: A simple and reliable algorithm for collision avoidance maneuvers (CAMs), capable of computing impulsive, multi-impulsive, and low-thrust maneuvers, is proposed. The probability of collision ...