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Ilya Sutskever, co-founder and former chief scientist of OpenAI, predicts that advancements in reasoning capabilities will lead to less predictable AI technologies. During a talk at the NeurIPS conference, he emphasized that the traditional method of pre-training AI systems is nearing its limits due to stagnant data growth. Sutskever highlighted the need for new approaches to data generation and model evaluation to push the boundaries of AI further.
Sutskever's vision includes the emergence of superintelligent machines capable of reasoning like humans, but he cautioned that increased reasoning could lead to unpredictability. He referenced the surprising moves made by AI systems like AlphaGo and advanced chess AIs, which can outsmart even the best human players. This shift in AI capabilities suggests a future where AI operates in ways that are not only advanced but also less predictable.
• Sutskever predicts reasoning will make AI technologies less predictable.
• Pre-training methods for AI are reaching their limits, requiring new approaches.
Pre-training refers to the initial phase of training AI models on large datasets to enhance their performance, which Sutskever claims is nearing its limits.
Superintelligent machines are AI systems that possess reasoning capabilities comparable to or exceeding human intelligence, as predicted by Sutskever.
Reasoning in AI involves the ability to evaluate multiple options and make decisions, which Sutskever warns could lead to unpredictable outcomes.
OpenAI is a leading AI research organization known for developing advanced AI models like ChatGPT, which Sutskever co-founded.
Safe Superintelligence is a company co-founded by Sutskever focused on ensuring the safe development of superintelligent AI systems.
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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