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Prof. Dr. Hans Uszkoreit | How Universal are Foundation Models? | Rise of AI Conference 2023
Professor Hans Uszkoreit reevaluates the concept of universal foundation models, highlighting their limitations and the need for ethical, truthful, and creative AI systems.
- The concept of universal foundation models needs to be reevaluated as they may not be as universal as thought.
- Foundation models are not yet capable of rational inferencing, self-awareness, or consciousness.
- The development of foundation models is a step towards AI, but it is not necessarily a guarantee of achieving AGI.
- The focus should be on creating systems that are ethical, truthful, and creative.
- The concept of “truth” is complex and requires further consideration.
- The idea of a single, universal model for all applications is impractical and may lead to homogenization.
- The development of foundation models is a continuous process, and it is necessary to keep improving them.
- The use of pretraining techniques can help create more universal foundation models.
- The concept of “emergence” in AI systems is important and requires further research.
- The development of foundation models can help create multilingual systems that can understand and generate text in different languages.
- The need for infrastructure building and education is essential for the development of AI systems.
- The concept of “sensory gathering robots” is a potential application of AI in the future.
- The development of AI systems requires a collective effort from industry, government, and academia.
- The focus should be on creating systems that are beneficial to society and ethical.
- The concept of “transfer learning” is essential for the development of AI systems.
- The concept of “autoGPT” is a potential application of AI in the future.
- The development of AI systems requires further research and experimentation.