About

GoodAI was founded in 2014 with a $10M personal investment from Marek Rosa. Our long-term goal is to build general artificial intelligence that will automate cognitive processes in science, technology, business, and other fields. We conduct our own research, advocate fundamental AI research at the EU governmental level, and forge a community of like-minded groups through the GoodAI Grants program.

Team

Meet our team

Marek Rosa

Marek Rosa

Founder and CEO

Marek Rosa, CEO/CTO, founded GoodAI with a personal investment of $10M. He has set the long-term vision for GoodAI and directs the focus of the company, leading both the technical research and business sides. He takes a hands-on approach to our daily research and development as a researcher and programmer himself.

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Olga Afanasjeva

Olga Afanasjeva

COO

Olga is an AI evangelist with a background in arts and social sciences, pursuing her passion for discovery and redefining the limits of what is possible. She leads the day to day activities of GoodAI.

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Jan Feyereisl

Jan Feyereisl

Advisor for AI People & Senior Research Scientist

Together with his colleagues, Jan is actively investigating various aspects of the Badger architecture, focusing on facets at the intersection of various disciplines ranging from machine learning, complexity science and computational mechanics all the way to psychology. Jan is particularly interested in the dynamics of collective computation & learning. He is also the Executive Director of the AI Roadmap Institute.

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Martin Poliak

Martin Poliak

Tech Lead - AI People

Ph.D. in Computer Science, Martin acts as the Tech lead for AI People game at GoodAI Games, making sure that the team delivers a breakthrough AI-powered game. Previously Martin held the position of Research manager, helping research different flavors of Badger architecture. He has been with GoodAI since 2015.

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Lucie Šoufková

Lucie Šoufková

HR Manager

Lucie Šoufková is responsible for recruitment and Human Resources at GoodAI and our sister company Keen Software House.

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Jaroslav Vitku

Jaroslav Vitku

Senior Research Scientist

Ph.D. in Artificial Intelligence and Biocybernetics, actively working on R&D of the Badger architecture. Recently familiar with words/abbreviations like Deep RL, Multi-Agent RL, ES, GA, DQN, DDPG, MADDPG, Gym, open-endness, POET, PyTorch, AWS, etc..

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Petr Hlubuček

Petr Hlubuček

Research Scientist

Petr has a background in Computer Science and Biology and is currently working on research of Badger architecture. He is interested in interpretability and visualization of RNN-based models. Lately he has been working with attention, meta-learning, program induction.

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Joseph Davidson

Joseph Davidson

Senior Research Scientist

Ph.D in Computer Science from the University of Glasgow. Joe is currently interested in the discovery of learning algorithms which can themselves learn and adapt to biases in the data. While this is primarily to facilitate the development of the Badger architecture as a lifelong learning machine, it also serves Joes true dream of being able to get out of hyperparameter tuning.

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Shantesh Patil

Shantesh Patil

Senior Game Designer

Shantesh is a Game Designer with over a decade of experience working on several titles across larger studios like Ubisoft as well as leading teams at smaller independent studios. He has a strong interest in crafting interactive experiences that connect with players on an emotional level. He leads the design effort on the AI Game project.

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Ege Atici

Ege Atici

Senior Unity Developer

Ege is a computer engineer who has been designing and developing games using Unity. She also has a keen interest in Machine Learning and Prompt Engineering and is enhancing her skills in these areas through GoodAI.

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David Castillo

David Castillo

Advanced ML / DL Engineer

Ph.D. in Modular Neural Network by the University of Las Palmas de Gran Canaria. David started working in the Badger architecture, with a focus on memetics, and he is now part of the LLM-agent team. His research interests revolve around modular intelligent systems and collective intelligence. David is an amateur runner and licensed hanggliding pilot.

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Vojtěch Matušinský

Vojtěch Matušinský

QA Lead

Vojtěch is a huge video game enthusiast who started in the industry as a journalist. Before becoming QA Lead in GoodAI, Vojtěch worked in various video game companies getting experience mostly in QA, but also in PR and Marketing. Testing artificial intelligence is still a big new challenge for him. As a QA lead he is trying to involve all testers deeply into development so they do not only report bugs, but also provide valuable feedback.

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Nilavazhagan Elangovan

Nilavazhagan Elangovan

Advanced Unity / AI Developer

Nila is a dedicated game developer with a passion for creating immersive experiences. While he specializes in Unity, he has also experimented with the Unreal Engine. At GoodAI, Nila has contributed to various areas both within and beyond Unity, including NPC AI systems, the UI Toolkit & UGUI, editor tools, Addressables, Unity Profiler, speech recognition and more. His mission is to make the world a happier place, and he believes video games are the key to achieving this.

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Rail Chamidullin

Rail Chamidullin

Machine Learning Engineer

Rail is a Machine Learning Engineer, specializing in developing and deploying AI systems. At GoodAI, he focuses on integrating Large Language Models (LLMs) into the AI People game, a sandbox game featuring AI-powered NPCs. Rail holds a Master's degree in Computer Vision from Czech Technical University.

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Advisors

Meet our advisory team

Šimon Šicko

Šimon Šicko

CEO, Pixel Federation

Simon Sicko is the co-founder and CEO of the Slovak company Pixel Federation - an independent game developer and publishing company. With more than 200 employees it belongs to one of the largest Game Studios in Central Europe. Šimon is an experienced entrepreneur and provides GoodAI with strategic guidance.

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Lucia Šicková

Lucia Šicková

CLO, Pixel Federation

Lucia is Chief Learning Officer at the Slovak company Pixel Federation. She is an experienced Project Manager with a unique skill-set in the area of Human Resources and IT Management. He key focus is on learning, education, personal growth. She is advising GoodAI on strategic matters.

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Dr. Wendelin Böhmer

Dr. Wendelin Böhmer

TU Delft

Assistant Professor Böhmer's research interest focuses on the intersection between inductive and deductive reasoning in artificial intelligence. He studied computer science and received a PhD at the Technical University of Berlin and worked as a postdoc for the University of Oxford.

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Our approach

The guiding principles of our AI research focus on developing AI agents capable of gradually accumulating skills and recursively self-improving. To fulfill this vision, we are concentrating on LLM agents equipped with Long-Term Memory (LTM). To better track our advancements in LTM, we have developed and open-sourced the GoodAI LTM Benchmark, along with some of our LTM agents. Additionally, we are working on a game titled “AI People,” which will feature LLM agents with long-term memory, marking it as one of the first AI-simulated games. In the past, we initiated the GoodAI Grants program, founded the AI Roadmap Institute, and launched the General AI Challenge, all aimed at harnessing the power of collaboration to address open research problems collectively.

History

Our progress

  1. February 2024

    Long-Term Memory

    We have open-sourced the living GoodAI LTM Benchmark, our reference LTM agents, experiment data, and the initial results. The LTM Benchmark shows that our GPT-4 agents extended with LTM outperform plain GPT-4 agents’ ability to learn continually.

  2. November 2022

    Large language models

    AI Game being developed to innovate game play experience. Focus on fine-tuning LLMs for the creation of autonomous agents.

  3. October 2022

    Research: AI in games

    Culmination of EU and internal grant projects: Open-Source Spaceship Generator, iv4XR, and VeriDream.

  4. April 2022

    Research: Collective intelligence

    GoodAI, the University of Chemistry & Technology in Prague, and Google Research co-host a workshop on collective intelligence at ICLR.

  5. October 2021

    Research: Memetic badger

    New paper published on new modes of knowledge transfer: memetics.

     

  6. August 2020

    GoodAI grants program

    Grant program launches with $300,000 pledged to advance external projects related to GoodAI’s fundamental research.

  7. August 2020

    Research: Badger seminar

    Meta and multi-agent learning workshop brings together AI researchers working on lifelong machine learning systems.

  8. December 2019

    Research: Badger architecture

    Publication release of Badger Architecture, GoodAI’s unifying framework to enable scaling and life-long learning.

  9. August 2018

    Human-level AI conference

    GoodAI hosts the Human-Level AI 2018 multi-conference, comprising three major conferences and academic events.

  10. January 2018

    AI ethics & safety

    Solving the AI Race round of the General AI Challenge launches with a focus on AI’s long-term impacts on society.

  11. February 2017

    General AI Challenge

    $5M pledged in prize money over coming years to tackle crucial research problems in AGI. Round 1: Gradual Learning is initiated.

  12. August 2016

    Team expansion

    R&D team grows to 20 researchers, scientists, and programmers. Major progress update released: Framework, AI Roadmap Institute, Roadmap, GoodAI Applied.

  13. January 2016

    Research: Gradual learning

    Research focus on the growing topology architectures that support the gradual accumulation of skills. Start of design and development of the School for AI. Start of development of Arnold Simulator.

  14. January 2014

    Inception

    Building on the success of Marek Rosa’s first company, GoodAI is launched to bridge knowledge between academia and industry on the path to AGI. 

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