DeepMind was acquired by Google in 2014, and it showcased impressive achievements by employing reinforcement learning in mastering basic video games. In subsequent years, Google’s DeepMind made history with its AI program AlphaGo, defeating a champion player in the board game “Go” in 2016.
Demis Hassabis, the CEO of DeepMind, has recently revealed the development of Gemini, an advanced AI system that draws inspiration from the techniques used in AlphaGo. Gemini is a large language model similar to GPT-4. This groundbreaking development aims to surpass OpenAI’s ChatGPT and redefine the capabilities of language models.
Hassabis anticipates that Gemini’s development will take several months and require a substantial investment, potentially reaching tens or hundreds of millions of dollars. In April, Sam Altman, CEO of OpenAI, disclosed that the development of GPT-4 cost more than $100 million.
Hassabis says, “At a high level, you can think of Gemini as combining some of the strengths of AlphaGo-type systems with the amazing language capabilities of the large models. We also have some new innovations that are going to be pretty interesting.”
In April, Google merged DeepMind with their primary AI lab, Brain, forming the powerhouse known as Google DeepMind. Hassabis believes that this collaboration between two influential entities will consolidate their expertise and significantly contribute to the continued advancements in the field of AI.
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Hassabis also shared his perspective on the risks and benefits of AI, stating, “The recent, rapid advancements in language models have made many AI experts—including some building the algorithms—worried about whether the technology will be put to malevolent uses or become difficult to control.” However, he firmly believes in the positive potential of AI, adding, “If done correctly, it will be the most beneficial technology for humanity ever. We’ve got to boldly and bravely go after those things.”
He stated, “I can see the kinds of things we’re building into the Gemini series right, and we have no reason to believe that they won’t work.”
