genioux Fact post by Fernando Machuca and Bing Chatbot
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Introduction:
In the rapidly evolving landscape of artificial intelligence, two tech giants, Google and OpenAI, are making significant strides. Their latest AI models, Gemini and ChatGPT respectively, are pushing the boundaries of what AI can achieve.
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genioux GK Nugget:
"Google’s Gemini and OpenAI’s ChatGPT are leading the AI revolution, with their capabilities extending beyond text to include audio, video, and images." — Fernando Machuca and Bing Chatbot
genioux Foundational Fact:
Google’s Gemini, a “natively multimodal” model, and OpenAI’s ChatGPT, a language model, are demonstrating the potential of AI. Gemini can learn from various data types, including text, audio, video, and images, while ChatGPT shows how AI models can acquire extensive knowledge about the world from text alone. However, both Google and OpenAI agree that to develop AI systems with a deeper understanding of the world, it’s necessary to integrate these models with other AI techniques.
10 Relevant genioux Facts:
Lighthouse of the Big Picture of the Digital Age |
- Google’s new AI model, Gemini, is giving OpenAI’s ChatGPT a run for its money, pushing both to explore more groundbreaking concepts.
- The launch of Gemini, touted as a revolutionary and powerful AI model by Google, indicates that the AI boom is far from over, with the past year since ChatGPT’s launch marking significant progress in the field.
- Earlier this year, Google quickly launched Bard, a direct competitor to ChatGPT, using LLM chatbot technology developed before OpenAI’s but kept private. With Gemini, Google claims to have ushered in a new era that transcends text-based LLMs, potentially paving the way for a new generation of AI products distinct from those powered by ChatGPT.
- Gemini, described by Google as a “natively multimodal” model, can learn from various data types, including text, audio, video, and images.
- ChatGPT demonstrates how AI models can acquire extensive knowledge about the world from text alone. Some AI researchers believe that simply scaling up language models could enhance their capabilities to human-like levels.
- Demis Hassabis, the executive behind Gemini’s development and the mastermind behind the superhuman Go-playing bot AlphaGo, spoke highly of Gemini’s new capabilities, which he believes will distinguish Google’s products in the future.
- However, Hassabis also mentioned that to develop AI systems with a deeper understanding of the world than current chatbots, it’s necessary to integrate LLMs with other AI techniques.
- Despite the fierce competition between Hassabis and OpenAI, both agree on the need for innovative approaches. OpenAI’s secretive project, Q*, indicates that the company is also considering strategies beyond merely scaling up systems like GPT-4.
- OpenAI CEO Sam Altman stated in April that despite ChatGPT’s success, AI needs a major new idea to make significant further progress. He suggested that the era of “giant, giant models” is coming to an end, and improvements will come in other ways.
- Google may have just showcased a method that surpasses ChatGPT with the launch of Gemini. But perhaps the most significant takeaway from Gemini’s debut is that Google, like OpenAI, is striving for something more impactful than today’s chatbots.
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Conclusion:
The launch of Google’s Gemini and the success of OpenAI’s ChatGPT mark a significant milestone in the field of AI. Both companies are not only striving to enhance their current models but are also exploring innovative approaches to make significant further progress in AI. The future of AI looks promising with these advancements.
REFERENCE
The GK Article
Will Knight, Google’s Gemini Is the Real Start of the Generative AI Boom, WIRED, December 7, 2023.
Will Knight
Will Knight is a senior writer for WIRED, where he covers artificial intelligence¹. He authors the Fast Forward newsletter, which delves into how advances in AI and other emerging technologies are set to transform our lives¹. Prior to joining WIRED, Knight was a senior editor at MIT Technology Review, where he wrote about fundamental advances in AI and China's AI boom¹. Before that, he was an editor and writer at New Scientist¹. He studied anthropology and journalism in the UK before shifting his focus to machines¹. He is currently based in Cambridge, Massachusetts¹.
Source: Conversation with Bing, 12/8/2023
(1) Will Knight | WIRED. https://www.wired.com/author/will-knight/.
(2) Will Knight | Stanford HAI. https://hai.stanford.edu/people/will-knight.
(3) Will Knight | WIRED. https://bing.com/search?q=Will+Knight+WIRED+biography.
(4) Will Knight | Page 2 | WIRED. https://www.wired.com/author/will-knight/?page=2.
(5) Will Knight | WIRED UK. https://www.wired.co.uk/profile/will-knight.
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Source: Conversation with Bing, 11/27/2023
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Source: Conversation with Bing, 11/27/2023
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Source: Conversation with Bing, 11/27/2023
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The categorization and citation of the genioux Fact post
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Categorization
Type: Breaking Knowledge, Free Speech
g-f(2)1688: The Juice of Golden Knowledge
GK Juices or Golden Knowledge Elixirs |