Listen to Across The Mountains from Alexander the Great movie while reading this article.

I want to ask you a simple question: What would you do if you had no fear?

And I don’t mean what would you do if you didn’t care about the outcome.

I am asking how would your decisions differ if you didn’t have that little voice in your head telling you it won’t work, it’s going to hurt, or what are people going to say?

What if you simply lacked this internal dialogue of self absorbed doubt and imagined consequence? …

People are interested in knowing what our progress was in 2019 and what our plans are for 2020. In this post, you can learn about the highlights of last year and our plans for the future.


  • Space Engineers released from Early Access
  • GoodAI published new Badger Architecture
  • Oranžérie (The Orangery) — our new office building
  • Plans for 2020 — Space Engineers updates, GoodAI Research

Highlights for GoodAI Research

  • Badger architecture — we published a paper describing the framework and principles of our AI architecture. Badger is the culmination of our efforts over the last five years. It’s the main direction in which we will be focusing our research in the following years. Badger is an agent made from multiple agents (aka experts) that share the same policy (neural network) but each has a unique internal state. They communicate and coordinate during the inner-loop (lifetime of the agent), and the result of this is adaptation and task solving. The search for a better expert-policy is performed in the outer loop, and only there the policy is modified. The advantage we see in Badger is the ability to automate the search for properties such as meta-learning, learned credit assignment, recursive self-improvement (via communication), gradual learning, transfer learning, and build up to AGI. …


  • An agent is made up of many homogeneous experts
  • All experts share the same expert policy, but have different internal memory states
  • Functionally it captures the notion of ‘how can homogeneous experts coordinate together to learn to solve new tasks as fast as possible’
  • Source code of a prototype attached
  • Current state & next steps
  • I am doubling the funding for GoodAI
  • We are looking for new colleagues. Join our team!
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Illustration of a ‘Badger Agent’


GoodAI started 5 years ago with a single mission: “develop general artificial intelligence — as fast as possible — to help humanity and understand the universe”

Back then we had only a vague idea of what to do, what the requirements of general AI are, and what should be our milestones. …

I am very excited to announce GoodAI Applied’s most recent project which is using AI to detect and prevent pressure ulcers in hospitals. This is our first major project using AI in the healthcare industry and has great potential.

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The GoodAI team with MUDr. Lívia Večeřová of Hospital Na Bulovce

Pressure ulcers, also known as decubitus ulcers, are caused when patients spend too much time lying in one place. They can develop extremely quickly and are even used as an indicator of good care in healthcare facilities. We have teamed up with Hospital Na Bulovce in Prague to help nurses and doctors tackle this problem.

Our team is using AI image analysis technology in order to determine the position of a patient and alert a nurse, or doctor, to let them know whether they should take action. …


People are interested in knowing what our progress was in 2018 and what our plans are for 2019 so below you can learn about:

  • 2018 for Space Engineers
  • 2018 for Medieval Engineers
  • 2018 for GoodAI Applied
  • 2018 for GoodAI Research
  • Plans for 2019

2018 has been a very busy year for both Keen Software House and GoodAI. I have summarized some of the key achievements and developments in both companies.

Space Engineers

There were several significant updates for Space Engineers during the year. Our main focus was to bring new things to the game and to make the major features even better than they were before. …


  • We intend to run a global survey to find out the public opinion about AGI.
  • We ran a practice survey at the Human-Level AI Conference 2018.
  • We are still working to shape the survey and are interested in your ideas.
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Photo credit: NASA

At GoodAI we believe that it is important that the public is involved in decision making processes, especially ones that will have huge impacts on humanity. General artificial intelligence has the potential to transform society and we want to find out what concerns the general public. …

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GoodAI team, conference chair Tarek Besold and the AI Safety panel share the stage at the end of the conference.

This month over 500 people attended the Human-Level AI Conference in Prague, which was organised by the team at GoodAI. The attendees got the opportunity to see over 40 experts in the AI field covering a wide range of topics.

The conference was a combination of three established conferences AGI, BICA and NeSy, as well as an extra Future of AI Track aimed at a wider audience.

The range of issues discussed was extremely impressive, from detailed research on human-level AI to issues such as AI safety, societal impacts and investment.

The conference truly exceeded my expectations. The quality of the keynote talks was fantastic, the media coverage (see a few examples in Czech and English below) was extremely wide and the atmosphere was very warm and welcoming. Both participants and speakers seemed to enjoy themselves very much! …

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  • I have awarded $15,000 of prizes for the second round of GoodAI’s General AI Challenge, Solving the AI Race.
  • The six top solutions out of 59 were awarded prize money.
  • This was just the first stage where the goal was to get as diverse pool of ideas as possible.
  • Prize winners have been invited to the Human-Level AI Conference in Prague this August to discuss their submissions.
  • We intend to continue working on solutions to the AI Race. In the future we will focus on concrete KPI’s and testing for robustness of solutions.

I am very excited to announce the prize winners of the second round of the General AI Challenge, Solving the AI Race. The round was the first qualitative round of the challenge and followed on from the Gradual Learning round last year. In January we challenged the public to come up with solutions to the pitfalls of an AI Race…


  • General artificial intelligence (AGI) differs from specialized AI in that it can tackle new and unseen problems, using previously learnt skills
  • General AI will have profound influences on society, these influences will be based on who creates AI and how it is created
  • The role of the state will change dramatically with the advent of general AI
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Photo credit: NASA

This article is not a prediction of the future but are some of my considerations of possible scenarios. The reason we map these scenarios is to guide what actions we can take to ensure a positive future.

Artificial Intelligence (AI) is created by people and it is these people that will determine what values are given to, and promoted by it. Recently articles about “churches of AI” have appeared, however there is no reason why people should want to create God-like AIs. In fact it is quite the opposite, the creator should build a servant, or even better — use AI to expand his/her own natural intelligence and possibilities. This will serve to promote the values ​​of AI creators and society respectively (values which ​​will be based on data and training tasks on which AI will be educated). …

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  • GoodAI has launched “Solving the AI Race” round of the General AI Challenge
  • $15,000 of prizes for solutions
  • Round will run until May 2018

Today we have launched the “Solving the AI Race” round of the General AI Challenge, where participants have the chance to win $15,000 in prizes by sending us suggestions on how to mitigate the risks associated with a race to transformative AI.

The round is the first non-technical round of the General AI Challenge, and asks participants to submit suggestions of how we can avoid the potential pitfalls of a race to AI where:

  • Key stakeholders, including the developers, may ignore or underestimate safety procedures, or agreements, in favor of faster…


Marek Rosa

CEO, CTO and Founder at GoodAI and Keen Software House - - - Building general AI as fast as possible!

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