Venue: ICLR 2023 TinyPapers

Reviews:

final_score: rating: High Potential (HP): a submission which meets the reviewing criteria and has potential to make an impact on the field
review_content: summary_of_contributions: The paper introduces a new perspective to approach artificial general intelligence which draws parallels to human intelligence. It propositions a system with three components: (1)  a neuron system to learn from interactions, (2) a sensory system to perceive the world, and (3) actuators to perform activities. This is analogous to the humans and the method of learning is analogous to humans perceive, learn and interact with the surroundings.
strengths_and_weaknesses: Strengths:
- Clearly defined problem statement and motivation for the proposed system. 
- Relevant work has been clearly explained and discussed in reference to the proposed work.
- The suggested approach has been clearly explained.

Weakness:
- The authors motivate the idea of using this approach for complex tasks and multitask scenarios. However, the section on AILife does not touch upon that aspect. It would be great to include some motivating discussion on it since those are the most interesting applications.
suggested_changes: Please see above.
review_title: null

final_score: rating: Needs Clarification (NC): a submission which does not meet the reviewing criteria and needs clarification for its described problem or solution
review_content: summary_of_contributions: The authors present AILife, a new perspective approach that aims at learning from the interaction with the virtual/real world through: i)a neuron system to mimic the biological learning process; ii) a sensory system that includes an "eye" and "skin"; iii) an actuator to change directions.
strengths_and_weaknesses: ## Strengths:
1. The paper is well written and easy to follow.

## Weaknesses:
1. The sub-images of the neurons in Figure 2 are 
grainy.
2. It is difficult to grasp the effectiveness of the approach. Please see the "Suggested Changes" section for more details.
3. Other relevant literature is missing, for example [1]


[1] : "A Path Towards Autonomous Machine Intelligence Version" by Yann LeCun.
suggested_changes: The authors present a new perspective to approach AGI. Due to the limited space provided by the conference, and the topic of the paper, it is difficult to appreciate the proposed approach. It would be interesting to see a more detailed description and comparison with other visions of AGI, such as [1]. Furthermore, I suggest, where possible, creating a simple simulated version of the proposed approach.
review_title: null

Decision: Invite to revise