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Ilya Sutskever, co-founder of OpenAI, discussed the future of AI at the NeurIPS 2024 conference, suggesting data for training AI models is running out, likening it to fossil fuels. He anticipates advancement in independent AI systems, synthetic data, and quicker computing abilities. In the cryptocurrency world, AI decision-making is growing, highlighted by AI models promoting memecoins. Google’s DeepMind AI lab has launched Gemini 2.0, an advanced model capable of complex tasks. Autonomous AI developments could overcome limits of dealing with imperfect data, an area currently challenging for AI.

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Ilya Sutskever, one of the big brains who co-founded OpenAI, recently delivered a presentation at the NeurIPS 2024 conference, where he shared his thoughts on the future of artificial intelligence (AI). He argues that the early days of AI, focused on pre-training, are winding down. He believes we are on the cusp of an era defined by super-smart AI.

In simpler terms, he thinks that the advances in computing power we are seeing, from upgraded hardware and software to smarter machine-learning systems, are now surpassing the amount of data we currently have to train AI models. He compared data to fossil fuels that are bound to run out someday. He stated:

“We are not generating that much more data because there’s only one internet. You could say data is like the oil for AI. It was created back in the day, and we’re consuming it. And just like with oil, we’ve reached peak data – there’s only so much of it. We’ll have to make do with what we’ve got.”

Ilya suggests that the future of AI lies in a new wave of advancements, spanning from independent AI systems and synthetic data to faster computing abilities. This, he believes, will sow the seeds for superintelligence in AI.

Within the world of cryptocurrency, AI that can make decisions without needing people to steer the ship are making a big splash. This new trend has gained momentum with the rising popularity of AI-based currencies (affectionately known as AI memecoins) and large-language AI models, such as Truth Terminal.

One example that blew up the internet was when Truth Terminal began promoting a memecoin called Goatseus Maximus (GOAT), taking its market value to a cool billion dollars. It turned a lot of heads, making both casual investors and business sharks sit up and take note.

Meanwhile, the eggheads at Google’s DeepMind AI lab have launched Gemini 2.0. It’s an advanced AI model that will serve as the backbone of these independent AI systems. What makes it extra special is its capability to carry out complex tasks like interacting with various websites and logical reasoning.

The development of AI that can think and act for themselves is a major leap towards a future where AI can overcome limitations of dealing with imperfect data. At the moment, AI still struggles with misinterpreting faulty data, also known as AI hallucinations. And as older AI models are used to train newer ones, the quality of performance tends to degrade over time. But with these advancements, the future appears more promising for AI.