SingularityNET and ASI Alliance have unveiled AIRIS, a self-learning proto-AGI within Minecraft, to advance artificial superintelligence efforts.
The new proto-AGI can adapt, navigate, and generate rules based on real-time experiences, representing a significant advancement in the development of artificial general intelligence (AGI). This is in contrast to the typical game AI.
AIRIS, which stands for Autonomous Intelligent Reinforcement Inferred Symbolism, can adapt to new stimuli and challenges independently of predetermined rules.
The deployment of AIRIS in Minecraft, the first proto-AGI that can learn and adapt autonomously, has the potential to revolutionize the field of robotics, automation, and smart systems that address real-time problems.
Gaming-based self-directed learning
Minecraft’s incorporation of AIRIS represents a novel approach to AI and gaming, as it independently refines its own “rule set” based on in-game experiences.
The proto-AGI generates new rules when confronted with unfamiliar situations, adapting its pathfinding, navigation, and obstacle-avoidance strategies in real-time, according to a press release shared with Cointelegraph.
This practicality of AIRIS is well-suited to the open-ended, unpredictable sandbox world of Minecraft, which offers a vast environment in which the proto-AGI can explore the boundaries of autonomous AI learning.
Possible future applications
The ASI Alliance and SingularityNET regard the integration of AIRIS into Minecraft as a controlled test for future applications that entail adaptive, real-time learning.
The proto-AGI endeavors to address real-world challenges that require contextual and independent problem-solving by refining AIRIS in the complex digital environment of Minecraft.
A spokesperson for the ASI Alliance informed Cointelegraph that the team was required to “assess the system in a more intricate and open-ended 3D environment.”
“Minecraft is an ideal fit for this purpose — it’s widely popular, meets all the technical requirements to integrate AI, and is already used as a benchmark for Reinforcement Learning. This will enable us to directly compare AIRIS’s performance with that of existing algorithms.”
CEO of Singularity’s perspective on AGI and decentralization
In the 46th episode of The Agenda podcast, the Cointelegraph team interviewed Ben Goertzel, the CEO of SingularityNET and the ASI Alliance, to differentiate between fact and fiction in the context of AGI.
Goertzel contended that AI must engage in decentralized processes “for the benefit of humanity” and that this is the purpose of “SingularityNET.”
He stated that while large language models (LLMs) such as OpenAI’s ChatGPT can perform general tasks, they are of a different quality than AGI due to their failure to extend beyond their training.
The Singularity and ASI Alliance CEO defined AGI as an AI that can do “everything that people can do, including the human ability to leap beyond what we’ve been taught.”
