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End of the AI Pre-Training Era: Ilya Sutskever's Predictions

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by Giorgi Kostiuk

a year ago


At the Neural Information Processing Systems (NeurIPS) 2024 conference in Vancouver, Canada, OpenAI co-founder Ilya Sutskever argued that the age of artificial intelligence pre-training is ending, forecasting the rise of an AI superintelligence.

New Statement from OpenAI Co-Founder

Ilya Sutskever stated that increasing computing power through better hardware, software, and machine-learning algorithms is outpacing the total amount of data available for AI model training. He likened data to fossil fuels, which will eventually run out. Sutskever said: “Data is not growing because we have but one internet. You could even say that data is the fossil fuel of AI. It was created somehow, and now we use it, and we've achieved peak data, and there will be no more — we have to deal with the data that we have.”

Data is not growing because we have but one internet. You could even say that data is the fossil fuel of AI. It was created somehow, and now we use it, and we've achieved peak data, and there will be no more — we have to deal with the data that we have.

Development of AI Agents in the Crypto Industry

AI agents go beyond current chatbot models by being able to make decisions without human input and have become a popular narrative in the crypto space due to the rise of AI memecoins and large-language models like Truth Terminal. Truth Terminal went viral after promoting a memecoin called Goatseus Maximus, which achieved a market capitalization of $1 billion, attracting attention from retail investors and venture capitalists.

Technological Achievements and AI Challenges

Google's DeepMind artificial intelligence laboratory unveiled the Gemini 2.0 model, which will power AI agents capable of assisting in complex tasks like coordinating between websites and logical reasoning. Advances in AI agents that can act and reason independently will help overcome data hallucination issues caused by incorrect datasets and degraded performance from relying on older language models to train newer ones.

Overall, these insights highlight the importance of AI development and overcoming current limitations to expand its applications in various fields, such as the crypto industry, where AI agents can offer new levels of autonomy and functionality.

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