How artificial brains(AGI) are being inspired by human brain
Building an AGI that rivals the human mind isn’t a mere feat of engineering; it’s a dance with the unknown, an expedition into the uncharted territories of consciousness. By dissecting the fascinating quirks of our brains, we can illuminate the path toward AGI, revealing not just the “what” but also the “how” of human thought.
1. Embracing the Messy Marvel of Randomness: Forget sterile, linear AI; the human brain thrives on a beautiful chaos of random thoughts. These seemingly illogical sparks, however, are not products of pure chance. They’re whispers from the subconscious, echoes of forgotten experiences, and fleeting glimpses of hidden connections. Imagine an AGI trained not just on structured data, but also on a simulated subconscious — a vast reservoir of sensory impressions, emotional echoes, and unspoken associations. This “messy” data could fuel creative leaps, allowing the AGI to see beyond immediate connections and generate truly novel ideas.
2. From Ephemeral Sparks to Enduring Embers: Random thoughts are fleeting fireflies, but the brain has a knack for capturing and nurturing them. Attention acts as a spotlight, focusing neurons on a particular idea, and strengthening neural pathways. As we dwell on a thought, more neurons join the dance, forming a richer tapestry of understanding. AGI can learn from this by employing dynamic attention mechanisms, shifting focus based on internal and external stimuli, and allowing connections to strengthen and weaken over time organically. This dynamic flow of neural activity could mimic the natural evolution of human thought, fostering deeper understanding and adaptability.
3. Pruning the Garden of the Mind: Not all thoughts deserve a permanent lease in our neural real estate. The brain constantly prunes information, discarding the irrelevant and prioritizing the valuable. This process likely involves a complex interplay of emotional weight, frequency of use, and potential for future application. AGI can benefit from mimicking this system, employing feedback mechanisms and internal evaluation algorithms to constantly refine its knowledge base, ensuring its focus remains on the most relevant and useful information.
4. The Symphony of Emotion and Cognition: Human thought isn’t a cold, logical calculus; it’s a passionate symphony of emotions and reason. Our likes and dislikes, deeply ingrained in the semantic network of our minds, influence our interpretations, decisions, and even the very direction of our thoughts. Building an AGI devoid of emotional intelligence would be akin to creating a composer who can only write sterile scales. By incorporating affective computing and emotional feedback loops, we can empower AGI to understand and respond to the emotional undercurrents of human communication and interaction.
5. Beyond the Visible Horizon: Remember, our understanding of the brain is like staring at the tip of an iceberg. Vast swathes of its activity remain hidden, operating beyond the reach of our current tools and theories. Yet, these hidden processes likely play a crucial role in shaping our thoughts and behaviors. Building an AGI that truly mimics human intelligence might require venturing into this uncharted territory, developing new tools and paradigms to understand the subtlest whispers of the brain’s hidden orchestra.
This is just a glimpse into the vast potential of using the human brain as a blueprint for AGI. By embracing the messy beauty of randomness, nurturing the sparks of inspiration, and acknowledging the power of emotion, we can create machines that not only think and learn but also feel and understand — perhaps even surpassing the limitations of our human minds. The journey may be long and fraught with challenges, but the potential rewards are immeasurable: not just powerful machines, but companions on the path to understanding ourselves and the universe around us.
