Latest / Elon Musk Podcast / Google launches Gemini, their AI model that'll fight OpenAI and GPT-4

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Google launches Gemini, their AI model that'll fight OpenAI and GPT-4 · Elon Musk Podcast

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  Hey everybody, welcome back to the Elon Musk Podcast.
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  This is a show where we discuss the critical Crossroads, the
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  Shape, SpaceX, Tesla X, The Boring Company, and Neuralink.
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  I'm your host, Will Walden. In today's episode, we're going
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  to be talking about Google's new ChatGPT competitor Gemini, also
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  a competitor to Elon Musk's X dot AI.
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  Google recently announced the launch of Gemini, its latest and
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  most sophisticated artificial intelligence model, marking a
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  huge step in the company's efforts to compete in the
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  rapidly expanding field of generative AI.
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  Gemini, described as Google's largest and most capable AI
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  model, represents a new phase in AI development with the
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  potential to enhance a wide array of Google's consumer apps
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  and devices, including the Google Pixel 8 Chrome.
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  Now this announcement is seen as Google's response to the
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  unexpected success of Open AI's ChatGPT, and indicates a shift
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  in the company's strategic direction towards more advanced
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  AI integration across its products.
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  Now Gemini stands out from its multimodal competitors.
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  Gemini stands out for its multimodal capabilities, which
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  means it's it can process and generate responses from various
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  types of media inputs, including text, images, audio, video, and
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  also programming code. This sets it apart from existing
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  AI models, which typically focus on a single type of input.
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  Sundar, the Google CEO, emphasized the significance of
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  this development in a blog post, stating that this represents one
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  of the most substantial science and engineering efforts
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  undertaken by the company to date.
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  Google's proprietary AI chatbot, Bard has been upgraded with a
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  Gemini model and there are plans to integrate Gemini into widely
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  used products like Google's search engine in the Chrome web
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  browser. Gemini's launch also highlights
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  Google's advancements in cloud computing as the model was
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  trained using a new generation of cloud based processors.
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  Now potentially this will boost the EI industry by making AI
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  training more accessible than it is today.
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  The Gemini model comes in three different versions, Nano,
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  optimized for mobile devices and app developers, Pro, designed
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  for a broad range of tasks and consumers, and Ultra, the most
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  advanced version currently undergoing safety testing and
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  Gemini. Ultra is being released
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  gradually to select customers and partners for early feedback.
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  It is undergoing third party safety evaluations, part of
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  Google's commitment to responsible AI development.
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  And Google claims that in testing Gemini outperformed
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  other AI models and more than two dozen benchmarks commonly
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  used in AI research, particularly in tasks involving
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  reading comprehension, mathematical ability and multi
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  step reasoning. The company also highlights
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  Gemini's efficiency as it was trained on Google's own Tensor
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  Processing Units, or TP US, making it faster and cheaper to
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  run than previous models. And while Gemini's launches a
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  significant development in Google's AI strategy, there's
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  still concerns regarding the models potential to produce
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  misleading results, a known issue with large language
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  models. And Google has worked to improve
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  the factuality of Gemini's responses, but acknowledges that
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  these models can still produce incorrect information with high
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  confidence. To address this, additional
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  techniques are being used to improve the accuracy of
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  responses in products like Bard. And the roll out of Gemini
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  represents Google's larger vision for AI where a single
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  underlying technology can be improved and then integrated
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  across a range of products, enhancing user experiences in
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  diverse ways. The models integration into
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  Google Search engine, add products and Chrome browser is
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  anticipated to significantly influence the company's future
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  direction and capabilities, and Gemini's launch also signifies
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  Google's ambition to reclaim its position as a leader in AI
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  innovation. Particularly after being
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  perceived as caught off guard by the rapid success of Open AI's
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  ChatGPT, Google's approach to AI development remains cautious yet
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  optimistic with a focus on ensuring the safety and
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  responsibility of its AI systems.
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  Amidst the landscape of competitive AI development,
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  Google's strategic positioning of Gemini is a deep commitment
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  to enhancing user interaction across its vast network of
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  services. And the multimodal nature of
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  Gemini enables a more intuitive and versatile user experience by
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  integrating various forms of media input.
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  Gemini is positioning to revolutionize how users interact
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  with their technology that they're used to now like
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  google.com, their phones and also their assistants the
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  bridging the gaps between different forms of digital
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  communication. This is particularly significant
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  for mobile and web applications though, where seamless
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  integration of various media types can greatly enhance
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  functionality and user engagement.
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  And the introduction of Gemini suggests A strategic pivot for
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  Google in the realm of AI and also in the terms of search,
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  signifying a shift from more traditional singular focus on
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  web-based services to a more integrated approach.
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  This shift is expected to have significant implications for the
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  future of Google's product development and user experience
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  strategies. And by leveraging Gemini's
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  advanced capabilities, Google is poised to offer more
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  personalized, context aware services across all of its
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  platforms, potentially transforming the way you use
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  your search, interact, and consume digital content now.
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  Furthermore, Gemini's development aligns with Google's
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  broader vision of harnessing AI from more efficient in
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  intelligent computing. The use of Google's Advanced
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  Tensor Processing units in training Gemini underscores the
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  company's emphasis on not only advancing AI capabilities, but
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  also on optimizing the efficiency and speed of AI
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  processes. This focus on efficiency as
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  crucial as it addresses one of the key challenges in the AI
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  field, the high computational cost of training and running
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  sophisticated models. And by improving efficiency,
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  Google not only enhances its own AI capabilities, but also
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  contributes to the AI ecosystem by setting new standards and
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  computational efficiency and sustainability.
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  And the release of Gemini, therefore, is not just about
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  competing with other AI models like Open AIS ChatGPT, and GBT
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  4, but it's also Google's testament to advancing AI
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  technology in a more responsible and efficient manner than other
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  companies. And they could potentially
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  reshape the landscape of AI applications and could be a
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  brand new era for Google in its pursuit of cutting edge AI
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  solutions. Thank you so much for tuning
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  into the show today. I really do appreciate your
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  support. If you could take a second and
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  hit the subscribe or the follow button on whatever podcast
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  platform that you're listening on right now, I'd greatly
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  appreciate it. It helps out the show
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  tremendously and you'll never miss an episode and each episode
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  is about 10 minutes or less to get you caught up quickly.
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  And please, if you want to support the show even more, go
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  to patreon.com/stage Zero and please take care of yourselves
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  and each other and I'll see you tomorrow.