Google’s DeepMind, the firm behind the historic victory of artificial intelligence (AI) over human intelligence in the complex board game Go, is gearing up for another breakthrough.
Demis Hassabis, the CEO of DeepMind, has revealed that they are developing a more powerful AI language model called Gemini, with the intention of surpassing OpenAI’s ChatGPT capabilities.
In 2016, DeepMind’s artificial intelligence program AlphaGo stunned the world by defeating a world champion Go player.
Gemini, The Fusion of Advanced Techniques
Hassabis explained that the company plans to leverage the techniques used in the creation of AlphaGo for the development of Gemini. Gemini, similar to GPT-4, is a large language model that works with text.
“At a high level, you can think of Gemini as a combination of some of the strengths of AlphaGo-like systems with the amazing language capabilities of large models.”
hassabi
The goal is to merge these technologies to equip Gemini with advanced features like troubleshooting and planning.
the foundation of AlphaGo’s skill was reinforcement learning, a method that DeepMind has perfected.
The approach involves learning software to solve complex tasks that require strategic decision making through trial and error and performance feedback. AlphaGo also used a method called tree search to investigate and remember possible game moves.
The intention is for Gemini to absorb similar methods and push the boundaries of language models, possibly even performing tasks on the Internet and computers.
Hassabis noted that Gemini development is a time-consuming process that could take several months and could involve significant funding.
Gemini Advance Capabilities
The completion of Gemini could significantly strengthen Google’s response to competition from ChatGPT and other AI technologies.
DeepMind was acquired by Google in 2014 after showing impressive results from software that used reinforcement learning to master simple video games.
It demonstrated how AI can perform tasks once thought to be the preserve of human capabilities, often with superior proficiency.
DeepMind’s reinforcement learning expertise could give Gemini unique abilities.
However, the journey towards AI advances is fraught with risks and uncertainties. The rapid development of language models has raised concerns about technology misuse and control issues.
Despite these concerns, Hassabis stressed the tremendous potential benefits of AI in areas such as healthcare and climate science, making it crucial not to halt its development.
Hassabis and his team, while acknowledging the challenges and potential risks, continue to push forward, focused on developing more powerful and innovative AI models like Gemini.
The future of AI looks bright, but the path ahead remains one of exploration and learning.