Post-LLM Architecture Explorer

17 paradigms beyond token prediction — from state space models to neuromorphic chips. Explore, compare, and understand what comes after the transformer.

⚛

Neuro-Symbolic AI

Logic meets learning

Reasoning
Reasoning
Efficiency
Learning
Maturity
〰

State Space Models

Linear time, constant memory

Efficiency
Reasoning
Efficiency
Learning
Maturity
🌍

World Models & JEPA

Simulate reality, don't predict text

Understanding
Reasoning
Efficiency
Learning
Maturity
∞

RWKV

RNN quality, transformer training

Efficiency
Reasoning
Efficiency
Learning
Maturity
⟳

xLSTM

The LSTM strikes back

Efficiency
Reasoning
Efficiency
Learning
Maturity
◈

Diffusion Language Models

Generate all tokens at once

Generation
Reasoning
Efficiency
Learning
Maturity
💧

Liquid Neural Networks

19 neurons can drive a car

Adaptation
Reasoning
Efficiency
Learning
Maturity
🧠

Neuromorphic Computing

Brain chips on milliwatts

Hardware
Reasoning
Efficiency
Learning
Maturity
λ

Program Synthesis

Learn rules, not statistics

Reasoning
Reasoning
Efficiency
Learning
Maturity
∿

Active Inference

Minimize surprise to maximize intelligence

Understanding
Reasoning
Efficiency
Learning
Maturity
⬡

Cognitive Architectures

Model the mind's machinery

Understanding
Reasoning
Efficiency
Learning
Maturity
⊕

Hybrid Architectures

Best of all worlds

Production
Reasoning
Efficiency
Learning
Maturity
Post-LLM Architecture Explorer · Research as of April 2026 · 17 paradigms mapped