Google has unveiled its latest AI model, Gemini, boasting advanced reasoning capabilities and the ability to understand multiple formats simultaneously. The model, which comes in Nano, Pro, and Ultra versions, outperforms existing AI models in various benchmark tests, including beating GPT 4 on 30 out of 32 tests.
Gemini’s multimodal capability allows it to process text, audio, images, video, and code all at once, making it a versatile tool for various Google products. The release of Gemini is part of Google’s commitment to AI safety, with collaborations with governments for testing advanced AI systems.
However, challenges in deployment, such as regulatory issues and the development of hallucinations by the model, have come to light. Testing on the advanced Ultra model is ongoing, with plans for public release in early 2024.
The unveiling of Gemini has raised questions about the broader implications of AI development, including concerns about artificial general intelligence and ethical data sourcing practices. As AI models become more sophisticated, responsible and ethical development practices are essential to harness their potential while mitigating risks.
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Video Transcript
Super proud and excited to announce the launch of the Gemini era a first step towards a truly Universal AI model I see you’re drawing a Guitar as you may have heard AI is having a very busy year what if I tell you it’s making a squeaking sound oh if it’s squeaking it’s definitely going to float can work on a technology at a foundational level and it simultaneously can impact all our s Google unveils
Gemini Google has introduced its latest AI model Gemini boasting Advanced reasoning capabilities and the ability to understand multiple formats including text audio images video and code simultaneously Gemini compromises three versions Nano Pro and Ultra with the ultra model claiming to outperform human experts in multitasking tests scoring 90% on a comprehensive test covering
Subjects like mathematics physics law medicine and ethics the Gemini model represents Google’s latest foray into Cutting Edge AI development and the company claims that it surpasses existing AI models including chat gpt’s most powerful version gp4 in various Benchmark tests Google specifically mentions that Gemini Ultra outperforms
GPT 4 on 30 out of 32 Benchmark tests showcasing its prowess in reasoning and image understanding one of the notable features of Gemini is its multimodal capability enabling it to process and comprehend different types of data simultaneously this versatility allows the model to be integrated into various Google products including the search
Engine to enhance user interactions across different media formats the Gemini release is part of Google’s broader commitment to AI safety as indicated by its collaboration with governments on testing AI Advanced system systems before and after their release information has grown in scale and complexity you know the problem has
Gotten harder the duck appears to be blue this is not a common color for ducks however there are some breeds of blue ducks since we got interested in AI from the very beginning is that we always viewed our mission as a Timeless Mission as you may have heard AI is
Having a very busy year most beneficial and consequential Tech technology for Humanity this initiative aligns with the global AI safety summit’s objectives where Tech firms agreed to work closely with governments to address the challenges and risks associated with AI advancements the introduction of Gemini Pro and Nano versions is a strategic
Move by Google to make the technology accessible to a wider audience the pro model integrated into the bar chatbot offers users a chance to experience the benefits of Gemini’s capabilities while while the Nano version designed for mobile phones using Google’s Android system extends the reach of the AI model
To a broader user base however the ultra version considered the most powerful iteration of Gemini is still in testing and is slated for public release in early 2024 Google envisions incorporating Ultra into Bard Advanced a more advanced version of The Bard chatbot the announcement underscores the significance of Gemini in Google’s AI
Portfolio and its potential impact on various applications including a code writing tool called Alpha code 2 with Google claiming that Alpha code 2 can outperform 85% of competition level human computer programmers it signals a Leap Forward in AI capabilities that could reshape how coding tasks are approached in terms of Safety and
Security Google emphasizes external testing for the ultra model through a red team evaluation ensuring that experts scrutinize the model security and safety this aligns with recent executive orders such as the one issued by US President Joe Biden in October emphasizing transparency and collaboration in AI safety assessments
As Gemini becomes an integral part of Google’s AI ecosystem its impact on various applications and industries will be closely watched the successful deployment and acceptance of Gemini could Mark a significant milestone in the evolution of AI capabilities and their integration into 3day Technologies Gemini AI deployment challenges Google’s unveiling of the
Gemini AI model has garnered attention not just for its Advanced capabilities but also for the challenges and considerations associated with its deployment the model introduced in three versions Nano Pro and Ultra is designed to comprehend and respond across multiple formats including text audio images video and code simultaneously however certain
Regulatory and safety aspects have come to the Forefront indicating a nuanced approach to the model’s release one notable development is Google’s engagement with governments for testing Advanced AI systems as outlined in the AI safety Summit AT Bletchley Park Demis hbus CEO of deepmind the Google unit behind Gemini mentioned ongoing
Discussions with the UK government about the AI safety Institute conducting tests on the most advanced version of Gemini this aligns with the commitment made by Tech firms during the summit to collaborate with governments on pre- and post-release testing of advanced AI systems however the testing scope appears to be limited to the most
Advanced or Frontier models what if I tell you it’s making a squeaking sound oh if it’s squeaking it’s definitely going to float super proud and excited to announce the launch of the Gemini era a first step towards a truly Universal AI model we have an opportunity to make
AI even more helpful for people for businesses this is a picture of a crab the Gemini approach to multimodality is all the kinds of things you want uh an artificial intelligence system to be able to do the pro and Nano versions set to be released publicly
Will not be part of these tests the decision to exclude these versions could be strategic focusing testing efforts on The Cutting Edge capabilities of the ultra model which is expected to be released in early 2024 regulatory considerations have also led to delays in the release of the pro
Powerered version of Bard in the UK and the European economic area encompassing the EU and Switzerland sa the general manager for Bard at Google mentioned ongoing discussions with local Regulators without specifying the nature of regulatory issues causing the delays this emphasizes the importance of compliance with region regulations in
The deployment of advanced AI models considering potential ethical and legal implications one notable challenge highlighted in the unveiling is the issue of hallucinations or false answers generated by the model Eli Collins the head of product at Google Deep Mind acknowledged that hallucinations remain an unresolved research problem this acknowledgement underscores the
Complexity of AI development as even Advanced grapple with with issues related to generating accurate and reliable responses despite being multimodal and capable of comprehending various prompts the pro and Nano iterations of Gemini set for public release currently respond only in text or code format this limitation points to the evolving nature
Of AI models and suggests that while they might excel in certain tasks there are still areas where refinement is needed as AI models become more sophisticated addressing such limitations becomes an ongoing aspect of their development Google’s Advanced AI Google’s latest AI model Gemini has been showcased through promotional videos highlighting its Advanced capabilities
Including the ultra model’s ability to understand and provide detailed tips on a student’s handwritten physics homework the videos demonstrate Gemini’s Proficiency in analyzing visual stimuli such as identifying drawings of ducks and correctly recognizing scenes from movies as seen in a reenactment of the matrix’s famous bullet time scene the
Ultra model of Gemini described as having Advanced reasoning is positioned as a groundbreaking advancement in AI capabilities it is designed to exhibit novel capabilities indicating its potential to perform tasks not previously achieved by existing AI models the demonstration of Gemini’s ability to comprehend and provide insights into handwritten physics problems underlines its potential
Applications in education and problem-solving scenarios however as with any AI advancement concerns and questions arise regarding the broader implications and potential risks associated with artificial intelligence the term AI encompasses a wide range of systems capable of Performing tasks that typically require human intelligence concerns range from the dissemination of mass-produced disinformation to the
Development of super intelligence systems that could surpass human control some experts particularly worry about the emergence of artificial general intelligence referring to AI systems that can perform a diverse array of tasks at or Beyond human intelligence levels when asked whether Gemini represents a significant step toward AGI
Demis hassabis CEO of Deep Mind the Google unit behind Gemini acknowledged the foundational Role multimodal Models like Gemini could play in the development of AGI however he also highlighted that there are still aspects missing and under active research and Innovation the issue of data sourcing for training AI
Models was also addressed hbus mentioned that data used to train Gemini was obtained from various sources including the open web this approach has previously sparked concerns and protests from the publishing and creative Industries which have argued against the use of copyrighted content available online for training AI models amazing
About Gemini is that it’s so good at so many things as we started getting to the end of the training to organize the world’s information and make it universally accessible and useful Gemini can understand the world around us in the way that we do I see you’re drawing a Guitar you can work on a technology at a foundational level and it simultaneously can impact all our products the demonstration of Gemini’s capabilities raises questions not only about its immediate applications but also about the trajectory of AI development and its ethical implications as AI models become more sophisticated and capable of
Advanced reasoning the need for responsible and ethical AI development practices becomes increasingly crucial in decision Google’s Gemini AI model with its Ultra version showcasing advanced reasoning and novel capabilities represents a significant leap in AI development the demonstrations highlight its potential applications in education problem solving and visual analysis however
Concerns about the broader implications of AI including its path toward artificial general intelligence and the ethical consideration surrounding data sourcing underscore the ongoing need for careful and responsible AI development practices as these Technologies continue to advance a balanced and ethical approach is essential to harness their potential while mitigating potential
Risks that’s all for this video folks see you next time
Video “Google GEMINI BEATS ChatGPT In ALL TESTS (SCARY BREAKTHROUGH)” was uploaded on 01/25/2024 to Youtube Channel Artificial Intelligence News Daily