Ex OpenAI Employee "ASI by 2028" | Sabine Hossenfelder responds

In the video, former OpenAI employee Leopold Aschenbrenner discusses the potential for achieving Artificial Super Intelligence (ASI) by 2028, emphasizing the importance of AI safety and responsible development. He highlights the rapid acceleration of AI progress, predicting that AI models could reach the level of an AI researcher by 2027, while also addressing challenges such as data and energy constraints in achieving AGI and ASI.

In the video, Leopold Aschenbrenner, a former OpenAI employee, discusses the potential rapid advancement of artificial intelligence (AI) towards achieving Artificial General Intelligence (AGI) and eventually Artificial Super Intelligence (ASI) by 2028. He emphasizes the importance of AI safety to prevent catastrophic outcomes and highlights the role of AI researchers in ensuring responsible development.

Ashen Breer points out that the progress in AI is accelerating rapidly, with models like GPT-4 showing significant advancements in reasoning capabilities and problem-solving. He predicts that by 2027, AI models could reach the level of an AI researcher or engineer, marking a significant leap in AI capabilities. He also discusses the potential for automated AI researchers to significantly enhance the pace of AI development.

The video touches upon the challenges of data and energy constraints that could impact the timeline for achieving AGI and ASI. It also explores the idea of exponential growth in AI capabilities and the implications of an intelligence explosion. The discussion raises concerns about the readiness of governments and societies to handle the rapid advancements in AI technology.

While some experts raise concerns about the potential risks associated with AI advancements, others like Ashen Breer remain optimistic about the transformative potential of AI. The video highlights the need for proactive measures to address ethical, security, and societal implications of AI development. Overall, it presents a thought-provoking perspective on the future of AI and the critical importance of responsible AI research and deployment.