Author: Vince Quill, CoinTelegraph; Compiler: Deng Tong, Golden Finance

OpenAI co-founder Ilya Sutskever recently gave a speech at the Neural Information Processing Systems (NeurIPS) 2024 conference in Vancouver, Canada.

Sutskever said improvements in computing power through better hardware, software and machine learning algorithms are outpacing the total amount of data available for training AI models. The AI ​​researcher likens data to fossil fuels, which will eventually be depleted. Sutskever said:

“Data is not growing because we only have one Internet. You could even say that data is the fossil fuel of artificial intelligence. It was created in some way and now we use it and we Peak data has been reached, there will be no more data ” “ — We have to deal with the data we have ”

Agent artificial intelligence, synthetic data and inference time. Computing is the next evolutionary direction of artificial intelligence, which will eventually give rise to artificial intelligence superintelligence.

Chart comparing AI pre-training computing power and dataset size. Source: TheAIGRID, Ilya Sutskever

AI agents will surpass current chatbot models, being able to make decisions without human input, and with the rise of AI Meme Coins and the rise of large language models (LLMs) like Truth Terminal, artificial intelligence agents have become a popular narrative in the crypto space.

After LLM began promoting a meme coin called Goatseus Maximus (GOAT), Truth Terminal quickly became popular, and the market value of the coin eventually reached $1 billion, attracting the attention of retail investors and venture capitalists. focus on.

GOAT token market information. Source: CoinMarketCap

Google’s DeepMind artificial intelligence lab has launched Gemini 2.0 – an artificial intelligence model that will power artificial intelligence agents.

According to Google, agents built using the Gemini 2.0 framework will be able to assist with complex tasks such as coordination and logical reasoning between websites.

Advances in AI agents that can act and reason independently will lay the foundation for AI to escape the illusion of data.

AI hallucinations occur due to incorrectData sets and AI pre-training increasingly rely on using old LLMs to train new LLMs, which degrades performance over time.