AI safety and alignment research has predominantly been focused on methods for safeguarding individual AI systems, resting on the assumption of an eventual emergence of a monolithic Artificial General Intelligence (AGI). The alternative AGI emergence hypothesis, where general capability levels are first manifested through coordination in groups of sub-AGI individual agents with complementary skills and affordances, has received far less attention. Here we argue that this patchwork AGI hypothesis needs to be given serious consideration, and should inform the development of corresponding safeguards and mitigations.
DeepMind is prioritizing readiness, proactive risk assessment, and collaboration with the wider AI community as they explore the frontiers of AGI, focusing on mitigating risks like misuse and misalignment.
Google co-founder Sergey Brin has called for the company to 'turbocharge' its efforts in the race to achieve Artificial General Intelligence (AGI), citing increased competition and the need for more efficient use of AI in coding and productivity.
> "The other ingredient is a call for employees to double down on their work. This includes a recommendation of “being in the office at least every weekday” and that “60 hours a week is the sweet spot of productivity,” while warning that more might result in burnout. "
> "The other ingredient is a call for employees to double down on their work. This includes a recommendation of “being in the office at least every weekday” and that “60 hours a week is the sweet spot of productivity,” while warning that more might result in burnout. "
