2 ms·
Outline: 1. Introduction 2. Desiderata for an intelligent machine 2.1 Ability to communicate 2.2 Ability to learn 3. A simulated ecosystem to educate commu
by tajen 11y ago
Outline:
1. Introduction
2. Desiderata for an intelligent machine
2.1 Ability to communicate
2.2 Ability to learn
3. A simulated ecosystem to educate communication-based intelligent machines
3.1 High-level description of the ecosystem (Agents, Interface channels, Reward, Incremental structure, Time off for exploration, Evaluation)
3.2 Examples from early stages of the simulation (Preliminaries and notation, The Learner learns to issue Environment commands, Associating language to actions, Learning to generalize, Understanding higher-level orders, Interactive communication, Algorithmic knowledge)
3.3 Interacting with the trained intelligent machine
4. Towards the development of intelligent machines
4.1 Types of learning
4.2 Long-term memory and compositional learning skills
4.3 Computational properties of intelligent machines
5. Related ideas
6. Conclusion
I'm thinking the winner might not be the company who makes huge progress towards MI, it could be the one who provides the ecosystem. For example, in the trend of Siri-type chatbots, Slack is very well positioned to reap most of the benefits even without doing much research in AI, because they could get a commission on the platform usage.
- JoshTriplett 11y agoIf we successfully create actual machine intelligence, with the ability to learn and communicate, then the "winner" hardly matters; it only matters whether they programmed it correctly or not. Any scenario that has a "winner" means they didn't.
- cafebeen 11y agoIf we manage to build truly intelligent machines, I'd hope it'd be used to enrich people's lives, that is, all humans be the winners