![]() As the race for AI hurdles forward at a breakneck speed, we just hope the CEOs take heed of their own advice. To mitigate these risks, the statement calls for companies and governments to regulate the development of these technologies, and to be mindful of their potential effects on wider society. Just last month, Hassabis and several leading tech figures like OpenAI CEO Sam Altman signed an open statement warning that the technology could pose an existential threat to humanity akin to nuclear war and a pandemic if not safeguarded correctly. “If this technology goes wrong, it can go quite wrong.” – OpenAI CEO Sam Altman to Congress ![]() One of the new, and the most interesting application, is the development of smart personal assistants (such as Amazon’s Alexa, Apple’s Siri, Google’s Google Assistant, Microsoft’s Cortana, and IBM’s Watson). But while DeepMind CEO Hassabis has publically claimed that AI will be the “most beneficial technology for humanity ever” he still admits it's not without its risks. The application of chatbots has expanded with the emergence of Deep Learning algorithms. What Does the Future of Generative AI Look Like?Īs OpenAI and Google continue to push the boundaries of artificial intelligence, both Gemini and ChatGPT will only create more buzz going forwards. Since GPT-4 is already available to the public, its output will be more accurate and reliable than prompts generated by Gemini, making it a better choice for those using the tool for educational purposes or content creation. While GPT-4 technology can currently process images, audio, text, and video, it's only capable of generating text, which will make it less equipped at handling advanced requests than Gemini.īut this isn't to say that other chatbots like ChatGPT don't stand a chance. Since the LLM isn't limited to a single modality, it will be able to create outputs in a range of different formats, including text, images, and audio. A chatbot is an artificial intelligence program and a Humancomputer Interaction (HCI) model (Bansal & Khan, 2018). Gemini is also expected to gain a competitive advantage by acting as somewhat of an AI Swiss army knife. Artificial intelligence (AI) has influenced how we engage in our every day activities by designing and evaluating advanced applications and devices, called intelligent agents, which can perform various functions. Once fully developed, Gemini will have the potential to offer more creative responses too, by generating ‘off-script' content that isn't restricted by its training data, and that's based on the structures it learned during training instead. Unlike its rival GPT-4, DeepMind's Gemini will be able to handle any data or task without requiring specialized models. Gemini vs GPT-4: How Do the Models Compare? But superior problem solving isn't the only arena that Gemini is set to excel. While the applications of these tools may seem disparate, both models rely on deep neural networks to execute advanced problem-solving. ![]() “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,” – Demis Hassabis, CEO of DeepMindĪccording to Hassabis, engineers behind Gemini are using many techniques deployed with AlphaGo, a program developed by DeepMind which was designed to master the ancient Chinese board game Go.
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