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