The post discusses the critical debate over the risks of centralizing versus decentralizing AI development, highlighting the trade-offs involved. Centralized AI can concentrate power but may allow for better accountability, while decentralized, open-source AI fosters broader innovation but risks misuse by bad actors. A recent Reuters report reveals that China has been using open-source AI models like Meta's Llama for military applications, including surveillance and intelligence. This raises concerns about the unintended consequences of open-sourcing powerful AI technologies, as they can strengthen authoritarian regimes and exacerbate geopolitical tensions.

This edition features a recap of our co-founders' participation in the ARENA program, where they gained insights on AI Safety, coding fundamentals, and worked on vision interpretability. The experience highlighted the need for organizational capacity in the AI safety field. In our reading group, we discussed "GSM-Symbolic," analyzing LLMs' reasoning limitations, showing LLMs' struggles with irrelevant information but hinting at potential improvements with scale. We’re also expanding our team for community events, with upcoming gatherings on November.

Leo Hyams, co-founder of AI Safety Cape Town (AISCT), introduces the organization, which focuses on ensuring AI systems benefit humanity. AISCT believes South Africa has untapped talent for AI safety and has built a growing community, a research lab, and international partnerships. AISCT has participated in events like Deep Learning IndabaX 2024 and successfully ran a fellowship with AI Safety Sweden. Their current research evaluates large language models for traits that may harm human agency, and they host biweekly AI safety reading groups. Upcoming plans include a fellowship with the European Network for AI Safety and a Cape Town retreat for young professionals exploring AI safety careers. Readers are invited to engage with the organization and stay updated.