In his latest blog post, OpenAI CEO Sam Altman predicts that in 2025, agency systems capable of doing real cognitive work will appear; In 2026, systems capable of coming up with new insights may emerge; In 2027, robots capable of performing tasks in the real world may appear. In some very important ways, the 2030s will most likely be very different from any previous period, with intelligence and energy going to be incredibly rich, with an abundance of intelligence and energy (and good management), it is theoretically possible to have anything else. At the same time, we also face serious challenges. Security needs to be addressed at both the technical and societal levels, but given the economic implications, widespread access to superintelligence is also crucial. The best way forward may be:1. Addressing the problem of alignment, which can robustly guarantee that AI systems are learning and acting in the direction that the collective really wants in the long run; 2. Focus on making superintelligence cheap, widely available, and not overly focused on any individual, company, or country.
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Sam Altman Envisions the Future of AI: The Rise of Cognitive Systems by 2025 and Abundance of Intelligence and Energy in the 2030s
In his latest blog post, OpenAI CEO Sam Altman predicts that in 2025, agency systems capable of doing real cognitive work will appear; In 2026, systems capable of coming up with new insights may emerge; In 2027, robots capable of performing tasks in the real world may appear. In some very important ways, the 2030s will most likely be very different from any previous period, with intelligence and energy going to be incredibly rich, with an abundance of intelligence and energy (and good management), it is theoretically possible to have anything else. At the same time, we also face serious challenges. Security needs to be addressed at both the technical and societal levels, but given the economic implications, widespread access to superintelligence is also crucial. The best way forward may be:1. Addressing the problem of alignment, which can robustly guarantee that AI systems are learning and acting in the direction that the collective really wants in the long run; 2. Focus on making superintelligence cheap, widely available, and not overly focused on any individual, company, or country.