Research on the protocols where AI meets crypto.
Deep-dive reports on AI models, robotics and life science, and the crypto networks building them.
Age of Machines: The Learning Problem
Robots have well under 1% of the experience language models learned from. The training approaches labs are stacking, the vendors selling robot data by the hour, and the open networks building a different supply.
Bittensor
Published reports
Bittensor: The Intelligence Olympics
Which subnets earn real revenue, and which burn emissions to simulate it.
Read the reportAge of Machines: The Learning Problem
Why robots lack training data, who is selling it, and the open networks collecting it from anywhere.
Walrus: Solving the AI Memory Bottleneck
Why agents need memory they can audit, port and verify, and whether Walrus Memory can provide it.
Bittensor: The Investment History
Genesis TAO mining, dTAO, 128 subnets and their alpha tokens, institutional funds and the pending spot ETF.
XMAQUINA: Onchain Markets for Pre-IPO Robotics Equity
How a DAO turns verified positions in private humanoid companies into tradable markets.
Surf: A Data Platform for Crypto Intelligence
Onchain, social, market and prediction data through one API, and the competitive landscape around it.
x402: Unlocking the Internet's Missing Payment Layer
A capital allocator's guide to the HTTP payment protocol behind autonomous transactions.
Readers
AI capability is concentrating in a few companies. Open infrastructure is the counterweight.
Crypto reduces reliance on any single institution by making rules transparent and collectively governed.
Read the researchWhere the work is focused
AI models
Open training and inference networks: who supplies the compute, how models are evaluated, and whether open weights can keep pace with closed labs.
Robotics
The coordination, data and capital layers for physical AI, from robot fleets and positioning networks to onchain markets for robotics equity.
Life science
Open data and crowdsourced discovery: decentralized science, AI-driven molecular design and the incentive models that could fund them.
Tokenization
Equities and traditional stocks moving onchain: how tokenized shares are issued and custodied, who can hold them, and whether onchain markets can match listed-market liquidity.
Conversations with builders in crypto-enabled AI
The research team
| Name | Role | Background | Experience | Links |
|---|---|---|---|---|
 0xSammy |
Co-Founder | 0xSammy is the co-founder of Khala Research and prominent educator with 100k+ followers across social channels. Previously, he spent a decade at EY running consulting teams for multi-national corporations. |  |
X |
 Jack Ai-Leung |
Co-Founder | Jack Ai-Leung is the co-founder of Khala Research and operates investment firm Pylon Partners, which focuses on commercializing open source software. Previously, he spent his career in corporate finance in Asia. |  |
LinkedInX |