Rapid AI progress concentrates power among firms holding talent, data and computing assets. Initiatives now work towards responsibly expanding access to machine learning expertise across society - unlocking innovation from new voices while aiming for equitable prosperity.

Consolidation Risks and Rewards

Over half of advanced capabilities emerge from Big Tech teams before diffusing more widely. While progress initially clusters around scarce resources, critics highlight that monopoly-like effects and inward-looking insularity tend to emerge absent deliberate countermeasures.

Lowering Barriers Through Outreach

International workshops actively aim to propagandize best practices across regions, while funding for computing infrastructure and open curricular programs reaches worldwide. Global development goals also incentivize decentralization. Sustaining local talent and IP proves challenging but promising prototypes emerge.

Coordinating Grassroots Innovation

Amid the whirlwind of progress, stable yet adaptive networks allow pooling complementary strengths across entities. Rather than isolated competition, fabricating pluralistic coalitions - woven between community and corporation - serves both ethical application and technological leadership.

From What Future Might We Forge?

Consolidated capabilities breed efficient yet concentrated influence; broadly enfranchised societies progress in sustainable unison. By marshaling resources cooperatively, perhaps balance persists between unchecked power and collective potential. The keys to an abundant human century surely trace back to the wisdom of communities building it together from the ground up.