AGI for Humanity

Safety cannot be an afterthought; it must be the foundational, non-negotiable bedrock of AGI development. This principle requires a proactive and rigorous safety culture, including:

• Verifiable Alignment: Research must focus on creating systems whose goals are provably aligned with human values, moving beyond simply hoping for the best.
• Robust Interpretability: We must be able to understand and audit the reasoning behind an AI's decisions, eliminating "black box" systems for critical functions.
• Aggressive Red-Teaming: An independent body must be tasked with continuously trying to break, misuse, and find flaws in the AI systems before they are deployed.
• Pausing Capabilities: The consortium must have both the technical ability and the political authority to pause or roll back development if safety milestones are not met or if dangerous, unintended capabilities emerge.

This mission requires more than just technical expertise. The consortium must actively recruit a diverse, interdisciplinary, and international body of talent. This includes not only leading AI researchers and engineers but also ethicists, sociologists, psychologists, diplomats, and artists to ensure the system's values are robust and human-centric. By creating a collaborative environment that transcends corporate secrecy and national borders, we can build a holistic intelligence that reflects the full spectrum of human wisdom and experience, rather than the narrow perspective of a single team or culture.

A technology this powerful cannot be steered by a corporate board or a single nation-state. Its governance must be explicitly designed for neutrality, accountability, and global representation. We propose a multi-stakeholder model, similar to successful international bodies, with a council that includes scientific experts, government representatives, and members of civil society. This governing body must have the binding authority to enforce safety protocols, audit development, and ensure its actions are transparent to the public it serves.

Secrecy is a catalyst for mistrust and disaster. Transparency must be a core operating principle, extending beyond merely open-sourcing code. It requires public disclosure of research goals, funding sources, training data composition, safety experiment results, and known system limitations. This radical transparency allows for global peer review and public scrutiny, creating a feedback loop that identifies risks and biases far more effectively than any internal team could. This isn't about revealing dangerous secrets; it's about preventing the creation of dangerous, unexamined systems in the first place.

The ultimate purpose of AGI must be to elevate the well-being of every person, not to amplify the wealth or power of a few. This principle mandates that the benefits of AGI are treated as a global public utility. The consortium must proactively apply AGI capabilities to humanity's most pressing challenges, such as curing diseases, mitigating climate change, providing personalized education, and eradicating poverty. Access to these world-changing tools must be equitable, ensuring AGI closes global divides rather than widening them into an unbridgeable chasm.

The race for AGI is fueling a dangerous arms race for computational power and data. The only way to de-escalate is to transform these contested resources into shared instruments for global good. The consortium must establish and manage a centralized pool of compute, analogous to a CERN for AI research, accessible to the international team. Funding will be drawn from a neutral trust supported by diverse sources, and training data will be ethically sourced and globally representative, moving beyond biased, scraped datasets. Pooling resources is the most practical way to ensure no single entity achieves a dangerous monopoly over the future of intelligence.