Originally published on: December 15, 2024
At the Neural Information Processing Systems (NeurIPS) 2024 conference, OpenAI co-founder Ilya Sutskever made a bold statement: the era of artificial intelligence pre-training is coming to a close. Sutskever argued that advancements in computing power, hardware, software, and machine-learning algorithms are outpacing the availability of data for AI model training. He likened data to finite fossil fuels that will eventually be depleted.
Sutskever predicts the next phase of AI evolution will involve agentic AI, synthetic data, and inference time computing, ultimately leading to the emergence of an AI superintelligence. These developments go beyond traditional chatbot models, enabling AI agents to make autonomous decisions without human input.
One notable example of AI advancements is Google’s DeepMind unveiling Gemini 2.0, a powerful AI model designed to empower AI agents. These agents will be capable of complex tasks such as coordinating between websites and logical reasoning. By moving beyond data hallucinations caused by incorrect data sets, AI is setting the stage for a new era of intelligent machines.
In the realm of AI-generated memecoins, innovations like Truth Terminal and the viral success of Goatseus Maximus (GOAT) showcase the potential for AI in financial markets. With GOAT reaching a market capitalization of $1 billion, both retail investors and venture capitalists are taking notice of the power of AI-driven technologies.
As the AI landscape continues to evolve, the possibilities for superintelligent machines and autonomous decision-making are becoming increasingly tangible. The end of the AI pre-training age marks a new chapter in the development of artificial intelligence, one that promises to revolutionize industries and reshape the future of technology.