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FrankX.AI
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What can intelligence do?

Models & intelligence

Reasoning, multimodality, model architectures and the evidence behind capability claims.

16 research briefs 96 distinct sources

Research briefs

01

Frontier Reasoning Models & Test-Time Compute

System 2 deliberate reasoning, process reward models, and inference-time search scaling

6 sourcesUpdated 2026-08-18
02

Mixture-of-Experts (MoE) & Multi-Head Latent Attention

Sparse activation scaling, auxiliary-loss-free routing, and memory bandwidth optimization

6 sourcesUpdated 2026-08-18
03

Context Engineering & Long-Context Architecture

Million-token context windows, needle-in-a-haystack retrieval, prompt caching, and attention sink dynamics

6 sourcesUpdated 2026-08-18
04

Reinforcement Learning from Verifiable Rewards (RLVR)

Deterministic reward oracles, formal theorem verification, and self-directed policy optimization

6 sourcesUpdated 2026-08-18
05

Multimodal Reasoning & Vision-Language-Action Models

Native multimodality, spatial intelligence, 4D world representations, and cross-modal attention

6 sourcesUpdated 2026-08-18
06

Post-Training Distillation & Speculative Decoding

Knowledge transfer from reasoning teachers, speculative token drafting, and edge model optimization

6 sourcesUpdated 2026-08-18
07

Synthetic Data Curation & Automated Curricula

Constitutional AI, self-instruct generation, automated filtering, and epistemic quality metrics

6 sourcesUpdated 2026-08-18
08

Diffusion Transformers & Generative Neural Video

DiT architectures, flow matching, spatio-temporal attention, and cinematic video synthesis

6 sourcesUpdated 2026-08-18
09

Neural Audio Synthesis & Conversational Speech Models

Neural audio codecs, zero-shot voice cloning, expressive prosody modeling, and full-duplex conversational audio

6 sourcesUpdated 2026-08-18
10

Sparse Attention, State Space Models & Linear Transformers

Mamba 2, RWKV, FlashAttention-3, sub-quadratic attention, and hybrid state-space transformer backbones

6 sourcesUpdated 2026-08-18
11

Representation Engineering & Mechanistic Interpretability

Sparse Autoencoders (SAEs), concept steering vectors, dictionary learning, and circuit analysis

6 sourcesUpdated 2026-08-18
12

Adversarial Robustness & Jailbreak Defense Architectures

Automated red-teaming, prompt injection defenses, multi-turn jailbreak mitigation, and robust alignment

6 sourcesUpdated 2026-08-18
13

Multilingual Frontier Intelligence & Cross-Lingual Transfer

Polyglot tokenizers, cross-lingual representation alignment, low-resource transfer, and cultural nuance

6 sourcesUpdated 2026-08-18
14

Mathematical Theorem Proving & Formal Verification AI

Lean 4, Isabelle provers, AlphaProof, AlphaGeometry, and neuro-symbolic automated deduction

6 sourcesUpdated 2026-08-18
15

Embodied Physical AI & Spatial World Models

Humanoid robotics policies, spatial simulation, physics world representations, and end-to-end tactile learning

6 sourcesUpdated 2026-08-18
16

Enterprise AI Model Strategy: Build, Fine-Tune, or Buy?

Capital-aware decision frameworks for API rental, retrieval, adapter fine-tuning, and sovereign hosting

6 sourcesUpdated 2026-08-18

Inside Models & intelligence

The labs. The current models.

Selected model families, checked against provider documentation on 13 September 2026. Specifications are provider-reported; local experiments remain separately dated.

Full model catalog