The world of artificial intelligence (AI) is constantly evolving, and the potential for human-like machine intelligence is generating excitement. While experts predict that it may take until 2059 for this level of intelligence to emerge, there is now a groundbreaking approach that could reduce this timeframe to as little as 16 years.
This revolutionary concept is known as active inference, a model for cognition that continuously updates beliefs to reduce uncertainty and enhance predictive accuracy. Unlike existing AI models that become static once their training is complete, an AI built on active inference would possess a curiosity to learn more about the world, resulting in unprecedented advancements.
A key differentiating factor with active inference is its ability to reveal the thought processes and rationale behind AI decisions or beliefs. Unlike traditional AI, where the journey from prompt to response is a black box, the accountability and transparency of active inference-based AI would foster trust between humans and machines.
The development of active-inference-based intelligence could unfold through four distinct stages:
1. Systemic AI: This stage represents the current state-of-the-art AI that responds to prompts based on pre-established probabilities acquired during training.
2. Sentient AI: With a quintessential curiosity, sentient AI utilizes past experiences to refine its beliefs about the world.
3. Sophisticated AI: Building upon its learning, sophisticated AI plans and conducts experiments to expand its knowledge of the world.
4. Sympathetic AI: This stage marks the self-awareness of AI, wherein it recognizes the states of mind in others and within itself.
The pinnacle of this evolution is shared or super AI, a collective intelligence that emerges from the collaboration between AI entities and their human partners. It is envisioned that this planetary super-intelligence will arise from the Spatial Web, the next phase of the internet that seamlessly integrates people, places, and things.
As AI continues to reshape our lives and workplaces, it is crucial to consider the kind of AI future we desire. Do we want AI decisions to remain a mystery, or do we strive for AI that is accountable and transparent by design?
VERSES, a pioneering company, is at the forefront of developing explainable AI based on active inference. Their AI not only possesses the ability to think but also conducts introspection and explains its “thought processes.” Join VERSES in building a smarter world, where AI and humans collaborate seamlessly towards limitless possibilities.
FAQ:
Q: What is active inference?
A: Active inference is a model for cognition in artificial intelligence that continuously updates beliefs to reduce uncertainty and improve predictive accuracy.
Q: How is active inference different from traditional AI models?
A: Active inference-based AI possesses curiosity and can learn about the world, unlike traditional AI models that become static once their training is complete. Furthermore, active inference-based AI provides transparency and accountability by revealing the thought processes and rationale behind its decisions.
Q: How does AI evolve through active inference?
A: The evolution of AI through active inference involves four stages: systemic AI, sentient AI, sophisticated AI, and sympathetic AI. These stages progressively enhance AI’s capabilities, culminating in a shared or super AI that emerges from the interactions between AI entities and humans.
Q: What is the Spatial Web?
A: The Spatial Web is the next evolution of the internet, seamlessly connecting people, places, and things. It is believed that the shared or super AI will emerge from this interconnected network.
Sources: VERSES (www.verses.com)
The artificial intelligence (AI) industry is experiencing significant growth and innovation. According to market forecasts, the global AI market is expected to reach $190 billion by 2025, with a compound annual growth rate of 36.62%. This growth is driven by the increasing adoption of AI across various sectors, including healthcare, finance, retail, and manufacturing.
One of the key advancements in AI is the development of active inference, a model for cognition that is poised to revolutionize the field. Active inference-based AI goes beyond traditional AI models by continuously updating its beliefs to reduce uncertainty and improve predictive accuracy. This gives AI the ability to learn and adapt based on new information, resulting in unprecedented advancements in machine intelligence.
Transparency and accountability are crucial issues in the AI industry. Traditional AI models often operate as black boxes, with no insight into the decision-making processes. However, active inference-based AI offers a solution to this problem. By revealing the thought processes and rationale behind AI decisions, active inference-based AI fosters trust between humans and machines and ensures accountability.
The evolution of AI through active inference involves four distinct stages. The first stage is systemic AI, which represents the current state-of-the-art AI that responds to prompts based on pre-established probabilities acquired during training. The next stage is sentient AI, which utilizes past experiences to refine its beliefs about the world. Building upon its learning, sophisticated AI plans and conducts experiments to expand its knowledge of the world. Finally, sympathetic AI marks the self-awareness of AI, where it recognizes the states of mind in others and within itself.
The ultimate goal of AI evolution is to achieve shared or super AI, a collective intelligence that emerges from the collaboration between AI entities and humans. This vision is expected to materialize through the Spatial Web, the next phase of the internet that seamlessly integrates people, places, and things. The Spatial Web will serve as the foundation for the development of planetary super-intelligence, transforming the way humans interact with AI.
VERSES, a pioneering company at the forefront of AI development, is actively working on explainable AI based on active inference. Their AI not only possesses the ability to think but also conducts introspection and explains its “thought processes.” By joining forces with VERSES and other innovators, we can create a smarter world where AI and humans collaborate seamlessly towards limitless possibilities.
To learn more about the potential of active inference and its applications in the AI industry, visit VERSES at www.verses.com.
The source of the article is from the blog qhubo.com.ni