In a groundbreaking development in the world of artificial intelligence, a company named Ineffable is working on learning systems that do not require human data and has received significant investment for this purpose. The London-based firm raised a total of $1.1 billion in a funding round led by Sequoia Capital and Lightspeed Venture Partners.
Ineffable's Goals and Use of Investment
Ineffable's current valuation has reached $5.1 billion. The company stated that it will use the funds obtained to develop and scale a super learning AI system capable of self-learning without human data.
The founder of the company, David Silver, is also the mind behind DeepMind’s AlphaGo model. Ineffable aims to change the fundamental working method of artificial intelligence beyond traditional product development approaches. While many current AI systems are trained on data produced by humans, Ineffable Intelligence plans to eliminate this dependency.
Reinforcement Learning Approach
Ineffable has adopted reinforcement learning methods as a central strategy. The company's goal is to develop a super learner that allows AI to learn from its own experiences through trial and error. This method has previously been applied in systems like AlphaZero, which achieved highly successful results in areas such as chess without using human data, relying solely on its own game experiences.
Ineffable's aim is to create an AI system that explores knowledge across various fields, not just limited to games, but extending from science to economics.