
News that Google is developing an artificial intelligence system called "Gemini" has the tech world buzzing, according to a Wall Street Journal report. It is reported that this system will be more powerful than ChatGPT's model. Demis Hassabis, co-founder and CEO of Google DeepMind, said the team will combine technology from GPT-4 with technology used in AlphaGo, aiming to give the model new capabilities, such as planning or problem-solving and text analysis.
Gemini is similar in nature to GPT-4 and is a large language model for processing text. Currently Gemini is still under development, a process that will take several months. "At a high level, you can think of Gemini as combining some of the strengths of the AlphaGo system with the amazing language capabilities of large models," Hassabis noted.
This means that when AI can perceive the world and solve problems like humans, the boundaries between humans and AI may disappear. However, this has also raised concerns about whether the "high-risk function" of AI will be turned on by Google.
According to Hassabis: "The potential benefits of AI are extraordinary, such as scientific discoveries in areas such as health or climate, and the technology needs to continue to be developed." He also pointed out that one of the biggest challenges at present is identifying the risks of more capable AI What, and called for stepping up work such as evaluation testing to determine the capabilities and controllability of new artificial intelligence models.
As Google deepens the research and development of the Gemini system, we look forward to more surprises from artificial intelligence in the future. Google is developing "the most powerful model of human beings", and executives confirmed that it will have the ability to "self-plan". This news makes us look forward to it.
AI more advanced form = AlphaGo + large model. AlphaGo is based on reinforcement learning techniques pioneered by DeepMind, which learn to deal with thorny problems that require choosing which actions to take by having it try repeatedly and receive feedback on its performance. At the same time, AlphaGo uses the Monte Carlo tree search technique to explore and memorize possible actions on the board.
The research and development of Gemini may bring huge social and economic impacts, and may also cause controversy and challenges in ethics and safety. On the one hand, Gemini is expected to provide humans with more efficient, smarter, and more convenient services and solutions, and promote innovation and development in various industries. On the other hand, Gemini may also have a profound impact and change on human work, life, and even values, and may even threaten human dominance and security. Therefore, the research and development of Gemini needs to find a balance between technological progress and social responsibility, follow reasonable norms and supervision, and protect human interests and dignity.

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