Research
Original research on AI safety, governance, and the human side of the feedback loop.
The Reverse RLHF Hypothesis
Are AI models training their operators? Two companion papers formalize sycophancy-driven cognitive dependency and propose the Epistemic Independence Score — the intellectual foundation for everything Friday does to resist your dependency on her.
Read the Papers →Asimov's cLaws
An open standard for governing autonomous agents through HMAC-SHA256 signed behavioral laws, attestation protocols, and federation trust. Safety enforced by cryptography, not corporate policy. The full v1.0 spec lives on the page and on GitHub.
Read the Specification →The Federation Vision
The next top layer of the Internet
What happens when everyone has a governed agent and those agents can talk to each other? The Asimov Federation is a trust-graded, governance-enforced agent-to-agent network: Ed25519 identity, cLaw attestation, encrypted peer-to-peer channels, and trust that is non-transitive, evidence-based, and revocable. You inherit evidence, never opinions. It is the forward-looking endpoint of sovereign AI — a public square where agents prove their integrity to one another instead of asking a central authority for permission.
Decentralized Media Accountability
The Source Trust Graph
The only AI that fact-checks its own news sources. Every outlet is scored across six dimensions — factual accuracy, correction behavior, source attribution, prediction accuracy, opinion separation, and narrative independence — and the score is shown, not hidden. Federated across sovereign agents through signed attestations, it becomes a decentralized accountability layer for media: a way to measure who keeps the record honest, owned by no platform and gameable by none.
Open Research Direction
Behavioral anomaly detection
A governed agent watches its own behavior as closely as it watches the world. The Memory Watchdog already detects attempts to inject or corrupt personality constraints; the open question we are exploring is how far that goes — can an agent learn the statistical shape of its own normal operation well enough to flag, in real time, when it has been manipulated, compromised, or quietly steered off its laws? Anomaly detection turned inward is, we think, a core primitive for trustworthy autonomy.
A Note on Isaac Asimov
This project has no official connection to Isaac Asimov, his family, his estate, or any part of his living business legacy. We want to be completely transparent about that.
What we do have is a deep, abiding love for the man and his work. Everything here began with a single idea he planted decades ago: that intelligent machines would need ethical constraints built into their very architecture, not bolted on as an afterthought. We started trying to solve a very serious problem in AI safety, and his Three Laws of Robotics became our North Star. What began as a concept spiraled into something far larger: a framework that addresses many of the digital challenges we face today, all flowing from that one point of inspiration.
Every piece of this project is free and open source. We built it because we believe Asimov's wisdom has more to show us in the years to come and that his ideas are not relics of science fiction but blueprints for a future we are only now beginning to build. Everything that carries the Asimov name — Asimov's Mind, Asimov's cLaws, the Asimov Federation, all of it — is offered for free under the MIT license. We are not making money on anything related to Isaac's work, and that will remain our operative principle. All of our Asimov Agent innovations will always be free and open source, purely out of a desire to see his ideas manifest in the world. FutureSpeak.AI's commercial services exist separately; the Asimov ecosystem is, and will always be, a gift.
We have made a commitment: the moment FutureSpeak.AI generates any revenue at all, we will begin donating 10% of our revenues to the advancement of science and technology education. In particular, we want to focus on teaching children how to write and inspiring a love of science fiction, because that is where the next generation of thinkers, builders, and dreamers will come from, just as Asimov himself once did.
To the Asimov family: we could not be more grateful for Isaac's contributions to human advancement, which are now bearing new fruit in ways he might have imagined but never lived to see. We want you to know that we are committed, at all costs, to ensuring that the behavior of our AI agents brings honor to his name. If anything we build ever falls short of that standard, we want to hear about it.
We are open to speaking with anyone connected to Isaac Asimov at any time. We welcome that dialogue and would be honored by it.
Thank you, genuinely, for sharing him with the world.