About CO/AI

A community for people who’d rather understand AI than fear it.

CO/AI graphic made with MidJourney

We built CO/AI for one reason. AI is the biggest technological shift since the birth of the internet, and the greatest equalizer in human history. But only if people know how to use it. With access to frontier models, anyone can learn almost anything. The differentiator now isn’t information access. It’s fluency — the ability to separate signal from noise and act with clarity in a world moving at light speed. CO/AI exists to build that fluency.

Who We Are

CO/AI is a volunteer-driven community united by a single conviction: AI should be a human-centric tool, not the other way around. We’re researchers, operators, builders, and writers who believe the technology only matters if it serves people. No corporate backers. No hidden agenda. Just a shared commitment to making AI legible, useful, and accountable to the humans who use it.

What We Believe

AI isn’t just another tech trend. It’s a force multiplier on human capability, creativity, and competition. Cognitive leverage. And it’s rewriting the very definition of competence.

AI collapses the cost of knowledge. It accelerates the ambitious, exposes the unprepared, and rewards the curious. In a world where anyone can learn anything, the real advantage is:

  • How you think
  • What you pay attention to
  • How quickly you can understand what’s actually happening

That’s where CO/AI comes in.

What We Actually Do

1. We publish a daily feed of AI news with real commentary No AI-slop rewrites. No filler. Clear, concise analysis that tells you why something matters, or why it doesn’t. We use AI to process the noise. What’s left for our readers is the signal.

2. We separate Signal from Noise Every day, we pull threads, connect dots, and reveal the patterns behind the headlines. We focus on incentives, capital, competition, and long-term trajectory. This is research, not aggregation.

3. We write our own editorial pieces Deep dives on single issues: where we stand, why we believe it, and how we think it plays out. These are modern research notes. Definitive, opinionated, and revisited over time.

4. We review the top AI podcasts so you don’t have to Great conversations drop daily, but nobody has ten spare hours a week. We distill the best ones, add context, and tell you whether they’re worth your time.

5. We run a weekly podcast with real operators and decision-makers Investors, CTOs, founders, engineers, enterprise buyers. People actually shaping what happens next. Not tourists. Not hype men.

6. We distribute everywhere (X, LinkedIn, YouTube) but we serve readers first Reach is a tool, not the goal. The goal is authority, consistency, taste, and becoming the place serious people go to stay ahead.


We built this for people who want to stay on the right side of the biggest shift in a generation. If that’s you, subscribe. If it’s not, the future will sort us out.

Staying ahead of the AI curve can be challenging, which is why we have designed our platform to facilitate discovery, self-directed learning and practical application of AI technologies. We aim to provide a space where people can discover the latest AI advancements, connect with the brilliant minds behind these technologies, access training resources, and engage with other community members to share knowledge and opportunities. If our mission resonates with you, we invite you to be part of that community, where you can help us shape the development of AI and ultimately keep yourself and others in the loop.

Core Team

Dominik Sansevere

Newsletter Editor

Anthony Batt

Community & Research

Joanna Anthony

Lead Engineer

Liz Stone

Chief Business Officer

Jason Calleiro

Head of Design

Sasha Cadariu

AI Research

Past Community Scholars

Tony He

AI Research
Harvard

Ethan Carlson

AI Research
Cornell

Claire Birge

Design
Stanford

Annika La Vina

Contributing Author
Harvard

Jason Yang

AI Research
UCLA

Alex Bloom

Engineering
Stanford

Emma Colacino

AI Research
Columbia

Pranav Somani

Engineering
Stanford

Rebeccah Fleischmann

AI Research
Harvard

Jordan Golan

Data Science
UCLA

Linh Truong

AI Research
Cornell

Russell Chiu

Prompt Design
Brown

Michaela Bibby

Data Science
Harvard

Samih Qureshi

Engineering
Stanford

Alina Taratorin

Generative Art
Harvard

Nico Marquez

AI Research
UPenn

Dylan Ascencios

AI Research
Harvard

Don Osipov

AI Research
UChicago

Abigail Lockhart-Calpito

AI Research
Harvard