







machine learning blockchain research
Big Brain Holdings
We are witnessing the early stages of a technological revolution, with blockchain at its core—a shift as impactful as the advent of the internet.

The rules to make the rules
My journey to understand blockchain political systems continues.

Harnessing Collective Intelligence better than LLMs w/ Sean Geobey
GiveTrack™ - The future of philanthropy built upon Bitcoin and Blockchain
AB Foundation CLG (Ireland)
The AB Charitable Foundation is committed to being a bridge between blockchain technology innovation and social good.
Deconstructing the Machine Learning Value Chain
This essay offers a materialist analysis of machine learning in the form of a critical intervention that deconstructs the value chain of this technological para
Combining Machine Learning and Homomorphic Encryption in the Apple Ecosystem
At Apple, we believe privacy is a fundamental human right. Our work to protect user privacy is informed by a set of privacy principles, and…


Collective action strategies in the age of AI w/ Nick Vincent from Data Leverage - The Blockchain Socialist
I spoke to Nick Vincent, assistant professor of computing science at Simon Fraser University and author of the Data Leverage substack, about what it actually means that AI systems are built on the collective output of humanity’s digital labor and what we can do about it. Nick has spent years researching how data functions as a bargaining tool, […]

Exploring Gender Disparities in Blockchain and Artificial Intelligence (AI) Adoption
Gender disparities in blockchain and artificial intelligence (AI) adoption reveal distinct patterns of technology acceptance, with women showing notably lower e
Vertical Federated Learning: Concepts, Advances, and Challenges
Vertical Federated Learning (VFL) is a federated learning setting where multiple parties with different features about the same set of users jointly train machine learning models without exposing their raw data or model parameters. Motivated by the rapid growth in VFL research and real-world applications, we provide a comprehensive review of the concept and algorithms of VFL, as well as current advances and challenges in various aspects, including effectiveness, efficiency, and privacy. We provide an exhaustive categorization for VFL settings and privacy-preserving protocols and comprehensively analyze the privacy attacks and defense strategies for each protocol. In the end, we propose a unified framework, termed VFLow, which considers the VFL problem under communication, computation, privacy, as well as effectiveness and fairness constraints. Finally, we review the most recent advances in industrial applications, highlighting open challenges and future directions for VFL.
Collective action strategies in the age of AI w/ Nick Vincent from Data Leverage
Podcast Episode · The Blockchain Socialist · March 4 · 1h 3m
A Spectrum of Consent
Blockchain & Decentralized Identity Architect — Internet Cryptography Pioneer — Co-author TLS Security Standard — Collaborative Tools & Patterns

Sweet, group-controlled communities that a decentralized organization can control with a gnosis safe * We can't actually use a gnosis safe for this because blockchains give everyone the ick so we have to reinvent something that'll be like a gnosis safe only worse
bryan newbold
some thoughts on how to implement public community spaces in atproto. I think it is important for us to stretch what the protocol can do; and there are some great opportunities for self-hosting, moderation, customization, etc
Blockchain (by Zicklag) — Semble
Paxum: Home

Regulated Crypto Payment Gateway for Businesses | CoinGate

Best Payment Gateways for Adult Entertainment and Merchant Accounts 2026

BTCPay Server
cycles.money