Machine Learning Prague 2016 www.mlprague.com

1. Accelerating Towards General Artificial Intelligence:
GoodAI and the Future of Humankind
Marek Rosa
CEO, CTO & Founder
GoodAI and Keen Software House

2. About GoodAI
• Interest in general AI since childhood
• Development began in January 2014,
within Keen Software House
- Space Engineers + Medieval Engineers
• My personal $10mil investment
• Team of 30 researchers
• Team members = co-owners of
GoodAI

3. Our mission
Develop general artificial intelligence as fast as possible,
be helpful to humanity, and understand the universe.

4. Advantages of AGI
• General AI vs narrow AI
• Highest “return on investment” (ROI) possible
=> high-risk & high-reward
• Recursively self-improving AI; exponential
growth
• Could be “our final invention” (in a good sense)
• AI scientists, AI programmers, AI astronauts,
AI ….
• Solve the problems of humankind
• Illness, death, climate change, rescue
operations, exploring the universe
• Everyone will benefit from AI (charities,
corporations, individuals…)

5. Effect on Jobs
• AI will be increasingly more skilled than humans at performing
human tasks. Where will this lead?
• Increased automation in our economy
• Employers will start to prefer intelligent machine workers to
human ones
• Job replacement
• Institute a universal basic income
• Exit the human-based economy
• No need to work to survive
• Altruism
• Investing in the AI future

6. What is Intelligence?
• Learn, adapt, solve problems and
achieve goals in a complex
environment
• Model of the world where only
relevant parts are represented
• Evolution vs intelligence
- Intelligence is both faster and cheaper
- Intelligence needs fewer resources
• Maximize the chance of achieving goals
in the future (goal / resources / time)
BrainSensors Motors

7. Unified Brain Architecture
• Our own all-in-one AI brain architecture
- Composed of a network and sub-networks of "experts" (essentially small
programs)
- Purpose is to make a procedural representation of the world, past
experiences, learned skills, predictions, plans, etc.
• Not just integrating Deep Learning, Machine Learning, HTM, LSTM,
or others as independent modules where each is focused on
specifics
- Look to the principles of intelligence, aim to understand them, and
implement only those principles into our unified brain architecture
- Building our own design, not on top of existing technology

8. Intrinsic Properties
• One system manifests them all:
- Over-generalization
- Generalize-first
- Analogy
- Knowledge transfer + context switching:
Reuse existing or modified programs
(groups of experts)
• Conflicting and Parallel Actions
- Hierarchical long-term sequences
- Actions (hierarchical) –> motor commands
- Behaviors: internal, external, general to
specific / concrete
• Learning to learn
• Additive learning, compositional learning
• Online, continuous, lifelong learning
• Unsupervised and supervised learning, puppet
learning, guided and gradual learning, reinforcement
learning
• Pattern detection
• Altering knowledge
• Unified memory: working + short term + long term +
episodic
• Anomalies / novelty detection
• One-shot learning
• Pattern reconstruction
• Detect uncertainty + confidence
• Predictions – multiple and simultaneous
• Perceptual consistency, continuity

9. Learned General Abilities
• Visual attention / focus
• Feature selection
• Language?
• Gratification delay
• Mental time travel
• Imagination
• Active logic reasoning
• Meta cognition
• Third party intervention
• Empathy
• Mirroring
• Recognize himself in the mirror
• Abduction
• Induction
• Deduction
• Imitation learning
• Planning – long-term sequences of actions
• Active learning
• Proactive learning
• Cooperation
• Curiosity
• Creativity
• Imagination
• Exploration
• Exploitation

10. Learned Skills / Knowledge / Experience
• Recognize apple, pear, door (locked / unlocked)
• Apple tree produces apples...pear tree produces pears…
• Open door
• Close door
• Day + night
• …

11. School for AI
• Set of simple game environments
• Gradual and guided learning
• Learning tasks
• Communication
• Can serve as an AGI benchmark
• Sets the requirements for our Unified Brain Architecture!

12. Brain Simulator
• In-house, collaborative
platform for researchers,
developers, and high-tech
companies
• Prototype and simulate
artificial brain architectures
• Share knowledge

13. Integration with Space Engineers

14. Future Business Applications
• Useful to start with games (safe, low-risk environment)
• Easy-to-implement applications
• Later commercialization
- Automating science, engineering, art, manufacturing, robotics, etc.
• Paradox: need to reach human-level AI before commercializing?

15. Thank you!
Keep in touch or join our teams!
We’re hiring:
Game Programmers
Game Artists
Game Writer
…and more!
marek.rosa@keenswh.com
twitter.com/marek_rosa
blog.marekrosa.org
www.KeenSWH.com www.GoodAI.com