This Week in AI

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-30T20:10:37.542Z • Permanent link

Mark Zuckerberg, Meta's CEO, has been intensifying the company's push for superintelligence, a term coined by philosopher Nick Bostrom to describe AI systems that surpass human intelligence in all domains. In a recent interview with CNBC, Zuckerberg stated that Meta aims to create a superintelligent AI that can learn and improve at an unprecedented scale, potentially leading to breakthroughs in fields like medicine, climate change, and education. The project, code-named "Llama 3," has been underway for several months and involves a team of over 100 researchers and engineers. One key data point is that Meta's Llama 3 model has already achieved state-of-the-art performance on various natural language processing tasks, including text classification and question answering.

The initiative has sparked concerns among experts and policymakers, who worry that unchecked growth in AI could lead to unforeseen consequences, such as job displacement, bias, and loss of human agency. Facebook's rival, xAI, has taken a different approach, focusing on more narrow and specialized AI applications, like computer vision and reinforcement learning. xAI's CEO, Amnon Shashua, has stated that his company aims to develop AI solutions that augment human capabilities, rather than replacing them. Despite these differing approaches, both Meta and xAI are pushing the boundaries of AI research, driving innovation and progress in the field.

Xavier Nada, a veteran tech executive and former CEO of IBM's AI division, has weighed in on the debate, arguing that the development of superintelligent AI requires careful consideration of the social and economic implications. Nada, who has served on various AI-related boards and advisory committees, emphasizes the need for greater transparency and accountability in AI decision-making processes. His comments reflect the broader context in which Meta and xAI are operating, a landscape characterized by intense competition, rapid innovation, and growing concerns about the ethics and governance of AI.

The implications of Meta's superintelligence push extend far beyond the realm of AI research, with potential impacts on the global economy, society, and politics. Companies like Microsoft, Google, and Amazon are already investing heavily in AI-related research and development, and the stakes are high. If Meta's Llama 3 model is successful, it could lead to a new era of AI-driven innovation, potentially disrupting entire industries and creating new opportunities for growth and employment.

However, the consequences of unchecked AI growth could be devastating, with some experts warning of a "superintelligence apocalypse" that could render human civilization obsolete. This is precisely why policymakers and regulators are taking notice, with governments around the world launching initiatives to develop guidelines and standards for the development and deployment of AI. For example, the European Union has established a high-level AI strategy, which includes measures to promote transparency, accountability, and human-centered AI development.

The pursuit of superintelligence by Meta and xAI reflects a broader pattern of AI-related innovation and investment, which has been gaining momentum over the past decade. The AI Winter of 2016-2017, characterized by a decline in funding and interest in AI research, has given way to a new era of optimism and investment, driven in part by advances in deep learning and the emergence of new AI-related technologies. This shift has been fueled by the growth of the global AI market, which is expected to reach $190 billion by 2025, according to a report by MarketsandMarkets.