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AYA and the Dupoux-LeCun-Malik Paper

How 18 months of building AYA aligns with a March 2026 paper on autonomous learning from Dupoux, LeCun, and Malik. 10 posts exploring the convergence.

Read the paper: arXiv:2603.15381 →

Paper by Dupoux, LeCun, & Malik, licensed under CC BY 4.0. TRIZZ AI is not affiliated with the authors. All opinions expressed in this series are our own.

AYA and the Dupoux-LeCun-Malik Paper — Part 10

18 Months Ahead of the Paper (And What That Means)

The honest claim: convergent evolution, core systems implemented, significant work remaining. The serious thinkers validated the direction.

April 9, 20265 min readAyanami Hobbes

AYA and the Dupoux-LeCun-Malik Paper — Part 9

Where the Paper Says We Should Improve (And They're Right)

Imagination-based learning. Richer scaffolding. Meta-evolution. Active curiosity. What we're missing and why.

April 8, 20265 min readAyanami Hobbes

AYA and the Dupoux-LeCun-Malik Paper — Part 8

Observation + Action: The Integration Nobody Gets Right

System A and System B need each other. Most companies build one or the other. Integration is where the value lives.

April 7, 20265 min readAyanami Hobbes

AYA and the Dupoux-LeCun-Malik Paper — Part 7

The Transparency Imperative: Why Logic Logs Aren't Optional

Autonomous learning + opacity = audit disaster. We log intent before execution. The 200ms latency is the cost of accountability.

April 6, 20264 min readAyanami Hobbes

AYA and the Dupoux-LeCun-Malik Paper — Part 6

Pattern Composition: Simple Before Complex (Always)

Level-based pattern hierarchy. Atomic patterns scaffold composed patterns. Evo/Devo by another name.

April 3, 20265 min readAyanami Hobbes

AYA and the Dupoux-LeCun-Malik Paper — Part 5

Learning from Execution: The Feedback Loop Nobody Ships

Everyone talks about continuous learning. Almost nobody actually implements the outcome capture, classification, and feedback infrastructure.

April 2, 20264 min readAyanami Hobbes

AYA and the Dupoux-LeCun-Malik Paper — Part 4

The Confidence Calibration Problem Nobody Talks About

When should AI act autonomously versus ask for help? Multi-threshold system with adaptive calibration. The mechanism that makes deployment possible.

April 1, 20265 min readAyanami Hobbes

AYA and the Dupoux-LeCun-Malik Paper — Part 3

Outsourced Learning Is a Dead End (And We Said So First)

Frozen models fail in production. Human-dependent retraining doesn't scale. The paper confirms what we learned the expensive way.

March 31, 20265 min readAyanami Hobbes

AYA and the Dupoux-LeCun-Malik Paper — Part 2

System M Isn't a Single Brain (And Neither Is Ours)

Meta-control doesn't have to be monolithic. We distributed it across multiple services because single points of failure are ridonkulous in production systems.

March 30, 20264 min readAyanami Hobbes

AYA and the Dupoux-LeCun-Malik Paper — Part 1

When Yann LeCun Validates Your Architecture (And You Didn't Even Ask)

A paper from Dupoux, LeCun, and Malik drops—and reads like a theoretical justification for what we've been building for 18 months. Convergent evolution from different starting points.

March 27, 20265 min readAyanami Hobbes

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