Humanist
Superintelligence

Responsible AI to empower humanity

At MAI, we’re building the world’s most capable AI systems, with humanity at the center of every decision.

Humanist Superintelligence means building the world’s most advanced AI systems designed to stay controllable, aligned, and firmly in service of humanity.

Core products and experiences

Our major consumer Al products include Copilot, Bing, GroupMe, Edge, and MSN. We also have teams working on Data, Security, Privacy, Monetization, Health, Responsible Al, Commerce, and Microsoft Advertising. Our mission is to build state of the art Al models, and create an AI companion for everyone.

A blurred image of wildflowers and mountains with the word "Copilot" in large white text. Below is a search bar with a colorful icon and the phrase "Let's talk," resembling a chat interface.

Copilot is your AI companion that helps you think, create, and get things done, whether you’re solving problems, exploring ideas, or just having a great conversation.

An RL environment for writing

Proposed suggestions are penalized if they drift the text toward generic phrasing, by measuring stylometric distance from the writing’s fingerprint.
A structural edit’s reward stays provisional until it survives the writer’s later judgment, discounted sharply if reverted within a time-and-keystroke window.
Structural operations preserve the author’s underlying logic and factual stance. Claims are not authored, only reorganized.
A universal metric for good structure doesn’t exist, because structural boldness is a matter of individual taste. Value is dictated by revealed preference, an edit is rewarded by its adoption.
Referential integrity across a document’s semantic layers is enforced, ensuring operations leave the text whole with no orphaned claims or circular dependencies.
Generative additions are limited to minimal connective tissue bridging ideas. Retention evaluates only this connective tissue, treating authorial rewrites as intent rather than failure.

Read the thesis

The one thing no AI writing tool actually does — preserve your voice while it helps you think — turns out to be a research problem, not a product feature. You can’t specify your voice up front; you can only recognize it being violated. So the fix isn’t a better prompt, it’s a constraint: the model gets to move your words, never to write them. The essay is the case study — the argument, the mechanism, the rubric for learning a single writer’s taste — and an honest ledger of what’s proven and what isn’t yet.

Read the essay ↗
Kavin Sood
I’m an independent researcher and toolmaker, building tools for thought that amplify human agency without flattening it.

I’m drawn to information theory, human-computer interaction and ai alignment. I think in isomorphisms, which is how Alfred started: writing modeled as navigation through a hierarchical proximity graph. I write a lot, I have ~20k words published on my blog.

Before Alfred, I did alignment research at Lossfunk on sycophancy in language models. I was a founding engineer at 19, and I built YAOS, a local-first distributed sync engine for Obsidian, with 25k users.

This project was built over Anthropic’s Opus 4.7 hackathon (2% acceptance).

Kavin Sood
Independent researcher