-
Building Better AI Through Neuroscience: Combining Theory of Mind with Kindness
Why Current AI Safety Approaches Fall Short As artificial intelligence becomes increasingly integrated into our society, ensuring its safe deployment has become one of humanity’s most urgent challenges. Current approaches to AI safety face three critical limitations: Learning from the Human Brain Our research proposes a revolutionary approach that draws inspiration from how human cognition…
-
The Urgent Need for Intrinsically Kind AI
Why Teaching AI to Care Matters More Than Teaching It to Comply As artificial intelligence systems become increasingly powerful and autonomous, a crucial question emerges: how do we ensure these systems truly care about human wellbeing? Current approaches to AI safety focus primarily on making AI systems appear aligned with human values through external rewards…
-
When Internal Beliefs Compete with Social Influence: A Complex Systems Approach
Understanding Belief Polarization Through Network Dynamics Our beliefs don’t exist in isolation. Each belief we hold connects to other beliefs within our minds while simultaneously connecting us to others who share or oppose those beliefs. This creates a fascinating “network within a network” structure — our internal belief systems embedded within broader social networks of…
-
Beyond Separate Learning Systems: The Case for Excess Capacity
Breaking Down Traditional Boundaries in Learning Models For decades, our understanding of how brains learn has been dominated by dual-system theories. These theories suggest that we need separate, complementary learning systems to handle different types of knowledge — one for individual episodes (specific memories) and another for generalizable rules. Similarly, scientists believed there was an…
-
Team Agents: The Natural Complement to Personal Agents
As personal agents become integral to our lives, automating tasks and optimizing individual productivity, a new challenge emerges: how do we ensure seamless collaboration when agents, not humans, are doing most of the work? The potential for miscommunication and conflict is significant, especially when two or more people — or their agents — attempt to…
-
Personalizing AI Agents for Trust and Productivity
The Power of Personalization Artificial intelligence agents are poised to revolutionize our lives, offering endless possibilities for how we interact with and leverage technology. But their true potential lies in personalization — shaping agents to reflect the unique needs, goals, and values of each user. Much like smartphones, which serve as tools for vastly different…
-
How Does AI Think?
Introduction: Bridging the Gap I was in the car, scrolling through an article my dad had sent me, when I first encountered the idea that machines might truly ‘think.’ The piece detailed how Google’s AlphaGo Zero had defeated the world champion of the strategic board game, Go — a feat that was considered sensational at…
-
GPT-5 will be like a “virtual brain”
AI is changing so fast that it is important to anticipate changes before they arrive. If you want to know what to expect for GPT-5, all signs point towards a virtual brain. When I hear Sam Altman mention the brain I perk up, as this is one of the main lenses I use to think…
CyberKind 