Seminar · Fellowship · Research

Study, Explain, and Try to Solve
Superintelligence Alignment

AFFINE is an intensive program designed to give promising newcomers the opportunity to acquire deep understanding of the core problems of superintelligence alignment, making them better equipped for work on the mitigation of AI existential risk.

Applications closed 22nd March (passed)

About the Program

Tackling the neglected core of AI safety

ASI breaking out of human control and pursuing ends misaligned with human flourishing is a central form of catastrophic and existential risk. Despite this, research aiming at finding a solution to the ASI alignment problem is systematically neglected by the general AI Safety ecosystem.

It is our goal to fix this inadequacy. We provide an intensive learning environment where participants engage with foundational materials, think deeply about hard problems, and solidify understanding through peer teaching and collaboration with world-class mentors.

1-Month Seminar

Intensive upskilling in superintelligence alignment at Hostačov Château, Czechia. 28 April – 28 May 2026.

Year-Long Fellowship

Extended program for ~10 top performers selected for collaborative excellence, not competition.

Expert Mentorship

Direct access to researchers from MIRI, DeepMind, Astera Institute, and Mila. Office hours, 1-on-1s, public debates.

World-Class Mentors

Learn from leading alignment researchers

Our mentors represent the frontier of AI alignment research—from foundational theory at MIRI to safety work at DeepMind, Anthropic, and Astera Institute.

Abram Demski

AFFINE · Ex-MIRI

Kaarel Hänni

Independent Researcher · Ex-Mila

Linda Linsefors

Indepndent Researcher · Founder of AI Safety Camp

Lucius Bushnaq

GoodfireAI

Richard Ngo

Independent Researcher · Ex-OpenAI · Ex-Google DeepMind

Justin Shovelain

Convergence Analysis · Ex-MIRI

Steven Kaas

AI Safety Info · Ex-MIRI

Felix Harder

Independent Researcher

Ihor Kendiukhov

Biodyn · Theomachia Labs

Jobst Heitzig

Potsdam Institute for Climate Impact Research

Program Details

Building expertise in AI alignment research

Dates 28 April – 28 May 2026
Location Hostačov, Czechia 🇨🇿
Positions 30 participants
Cost Free (accommodation & catering covered)
Application deadline: 22nd March (passed)

The AFFINE Superintelligence Alignment Seminar is a one-month intensive designed to give promising newcomers an opportunity to acquire deep understanding of the core problems of superintelligence alignment.

ASI breaking out of human control and pursuing misaligned ends is a central form of existential risk. Despite this, research aiming at finding a solution to the ASI alignment problem is systematically neglected. It is our goal to fix this inadequacy and provide more people with the prerequisites to tackle these core problems.

The problem is very difficult, so we focus on learning, distillation, and debate/epistemics practice for the full month, rather than trying to produce novel research. Participants understand topics by reading materials, thinking, discussing with peers and mentors, and solidifying understanding through peer teaching—1-on-1, lectures, or written materials.

Confirmed Mentors

Abram Demski · Kaarel Hänni · Jonas Hallgren · Ouro · Linda Linsefors · Lucius Bushnaq · Steven Kaas · Felix Harder · Ihor Kendiukhov · Jobst Heitzig · Richard Ngo · Justin Shovelain · and more

Deep Focus

The Czech countryside setting removes urban distractions while providing space for focused solo work and spontaneous collaboration.

Sustainable Pace

Program rhythm alternates between intensive technical engagement and explicit recovery time, preventing burnout.

Path to Fellowship

If funding allows, we extend to a full-year fellowship for the ~10 most promising candidates, selected for collaborative excellence.

We are open to participation for a fraction of the duration (2–3 weeks) or fully remote participation for exceptional applicants. On-site participation requires full-time engagement and cannot be reconciled with other employment.

The AFFINE Fellowship is a year-long extension of the Seminar, offered to the ~10 most promising participants. Selection happens because of collaborative excellence, not despite it—we're looking for participants who help others learn, integrate across disciplines, and build rather than hoard knowledge.

The goal extends beyond producing ten individual researchers to creating a cohesive network that continues collaborating after the month ends, whether at CEEALAR or elsewhere. To encourage ambitious approaches not guaranteed to work, we do not expect novel and promising research outputs within the one-year time frame—though it would be a very welcome surprise.

We actively encourage collaboration to cultivate the collaborative spirit of the environment, even in the face of potential adversariality arising from competition for extended Fellowship positions.

Collaborative Selection

Fellows are selected partly based on how well they collaborated with other participants during the Seminar.

Long-term Support

Full-year structure provides the time needed for deep engagement with difficult problems without pressure for quick outputs.

Network Building

Create lasting connections with fellow researchers and mentors across the AI safety ecosystem.

Fellowship extension is contingent on additional funding. We are applying for funding to cover stipends for those who would benefit from them.

Vision: A community of researchers where fruitful ideas thrive. The role of the mentor is to help fellows learn, think, and research—in particular, to think with them in a way that makes them better learners, thinkers, and researchers in the long run.

Our ideal is that the mentor-mentee relationship be many-to-many, rather than one-to-one as is typical. We'd like much of the communication to be spent building connections between mentors, so their ways of thinking—differences, similarities, bridges—can be explored and explicated in the open. This broadens mentees' exposure to different potentially valuable ideas.

Degrees of Involvement

Minimal

Drop by a dedicated Discord channel periodically to answer fellows' questions.

Recurrent Interlocutor

More extensive back-and-forth with fellows. Interest in working in public, using fellows as thinking partners.

Visiting Speaker

Give talks on focus areas, remotely or on-site. Pre-recorded talks with live Q&A welcome.

Specifically Committed

Closer, more regular mentorship to one or more fellows for an extended period.

Mentorship Activities

1-on-1 tutoring Explaining confusing topics Office hours Research collaboration Talks & lectures Workshops Rationality exercises Feedback on written work Public debates Panels & conversations Double-crux sessions

Full-time mentors spend most of the Seminar at Hostačov Château and are available to fellows for discussion throughout the program.

Our People

The team behind AFFINE

Core Team

Mateusz Bagiński

Founder & Director

Full-Time Mentors

Ouro

Orthogonal

Jonas Hallgren

Equilibria Network

Visiting Mentors

Our mentors represent leading voices across AI alignment research—from foundational theory at MIRI to frontier safety work at DeepMind, Anthropic, and Astera Institute.

Abram Demski

AFFINE · Ex-MIRI

Kaarel Hänni

Independent Researcher · Ex-Mila

Linda Linsefors

Independent Researcher · Founder of AI Safety Camp

Lucius Bushnaq

GoodfireAI

Steven Kaas

AI Safety Info · Ex-MIRI

Felix Harder

Independent Researcher

Ihor Kendiukhov

Biodyn · Theomachia Labs

Jobst Heitzig

Potsdam Institute for Climate Impact Research

Richard Ngo

Independent Researcher · Ex-OpenAI · Ex-Google DeepMind

Justin Shovelain

Convergence Analysis · Ex-MIRI

Get in Touch

We'd love to hear from you

Whether you're interested in applying to our programs, exploring partnership opportunities, or simply learning more about AI alignment research, we're happy to connect.

For application inquiries, please include relevant background information and your areas of interest in AI safety research.