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Google has introduced a series of new features to its Gemini AI, including a personalization tool called Gems, which allows users to customize the AI chatbot for specific tasks. This new feature enables users to tailor the Gemini chatbot to their needs, whether as a workout partner, a coding assistant, or a writing companion.

To create a personalized Gem, users can provide instructions on the desired style of responses, save a custom introduction, and even assign a specific character to the chatbot. Once these preferences are set, the customized Gem is activated and ready for use. This feature will be available exclusively to Gemini Advanced subscribers.

In addition to the customizable Gems, Google is also launching several predesigned Gems for broader tasks such as troubleshooting code, offering writing tips, and explaining complex topics in simpler terms.

Google is also rolling out the next-generation image generation tool, Imagen 3. This update includes the reactivation of Gemini’s ability to generate AI images of people—a feature that was previously disabled due to the creation of historically inaccurate images. The company has now implemented safeguards to prevent such issues in the future. These guardrails are designed to avoid overcorrection for diversity, which previously led to embarrassing mistakes.

“We don’t support the generation of photorealistic, identifiable individuals, depictions of minors, or excessively gory, violent, or sexual scenes,” stated Gemini Product Manager Dave Citron. He acknowledged that not every image generated by Gemini will be perfect but emphasized the company’s commitment to continuous improvement based on user feedback.

Additionally, Google has incorporated the SynthID tool to watermark images created by Imagen 3, ensuring the authenticity and traceability of AI-generated content.

Imagen 3 will be available to all users starting this week, though the ability to generate images of people will initially be limited to paid subscribers.

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In a development that has sparked intense debate across the tech world, Google’s Gemini AI image generation tool recently faced significant backlash over its generation of historically and contextually inaccurate images. This incident not only raised questions about AI bias and ethical AI development practices but also cast a spotlight on Google’s overarching approach to artificial intelligence, which some critics argue is overly cautious and hindered by a fear of controversy.

The Roots of the Controversy

The controversy began when Google’s Gemini, utilizing its Imagen 2 image generation model, produced images that did not accurately reflect historical figures or contexts based on user prompts. Notably, it generated images portraying America’s Founding Fathers and various Popes in ways that diverged sharply from historical records, leading to accusations of anti-white bias and excessive political correctness.

Google’s Response and Explanation

Google was quick to acknowledge the shortcomings of the Gemini tool, temporarily disabling its ability to generate images of people while it sought to address the errors. The tech giant attributed the fiasco to two main issues: an over-tuned diversity algorithm that failed to consider context and an overly cautious model that, in some instances, opted to avoid generating any response to certain prompts.

Underlying Causes and Concerns

Experts, including Margaret Mitchell, Chief AI Ethics Scientist at Hugging Face, suggest that the root of the problem lies in the data and optimization processes used in training AI models. AI systems are often trained on vast datasets scraped from the internet, which can contain biases, inaccuracies, and inappropriate content. Companies typically employ techniques such as reinforcement learning from human feedback (RLHF) to fine-tune these models post-training, which in the case of Gemini, led to an overly cautious and sensitive system.

A Broader Reflection on Google’s AI Philosophy

This incident has ignited a broader conversation about Google’s philosophy towards AI development. Critics argue that Google’s approach is characterized by timidity, driven by a desire to avoid controversy at all costs. This cautiousness, they argue, is at odds with the company’s mission to organize the world’s information and make it universally accessible and useful. The Gemini fiasco is seen as a symptom of a culture that prioritizes avoiding criticism over bold innovation.

Looking Ahead: Boldness vs. Responsibility

At Google I/O 2023, the company announced a commitment to a “bold and responsible” approach to AI development, guided by its AI Principles. However, the Gemini controversy suggests a gap between these aspirations and the company’s current practices. Moving forward, Google faces the challenge of balancing bold innovation with ethical responsibility, ensuring that its AI models are both groundbreaking and aligned with societal values.

Conclusion

The Gemini image generation controversy serves as a pivotal moment for Google, challenging the tech giant to reassess its approach to AI development. As AI continues to evolve at a rapid pace, the need for responsible innovation that respects historical accuracy, ethical considerations, and societal norms has never been more critical. The tech community and the broader public will be watching closely to see how Google and other industry leaders navigate these complex waters in the quest to develop AI that is both powerful and principled.

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Google CEO Sundar Pichai has labeled the recent controversy surrounding Google’s Gemini AI engine as “unacceptable” after it produced historically inaccurate images of racially diverse Nazis. In an internal memo addressed to the staff, Pichai acknowledged the offense caused and emphasized the company’s commitment to addressing and rectifying the issues.

In the memo, Pichai stated, “I know that some of its responses have offended our users and shown bias — to be clear, that’s completely unacceptable, and we got it wrong.” He further urged the teams to work tirelessly to rectify the problems and emphasized the high standards expected from Google.

The Gemini AI engine faced criticism for generating images of racially diverse Nazi soldiers, including black and Asian individuals in Wehrmacht uniforms. Users accused the AI of displaying bias and inappropriate contextual usage. Pichai’s statement recognized the imperfections of AI at this emerging stage but underscored Google’s commitment to meeting the high expectations set for the technology.

The controversy led to a significant drop in Alphabet’s shares, Google’s parent company, losing over $90 billion in market value. This marks one of the largest daily drops in the past year, emphasizing the potential financial implications of AI-related controversies for tech giants.

Tesla CEO Elon Musk also weighed in on the matter, criticizing the AI chatbot and highlighting concerns about its programming. Google responded by pausing the tool’s capacity to generate photos of people while they work to address and fix the issues.

This incident adds to a series of challenges and debates surrounding AI ethics, diversity, and responsible implementation, raising questions about the industry’s development and the need for stringent oversight.

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Google has expanded the reach of its Gemini app, an AI-driven chatbot, to more than 150 countries and territories, including India. Initially launched for Android users on February 8, the Gemini app has gained attention for its innovative features. The app is now accessible in English, Korean, and Japanese, catering to a diverse global audience.

The expansion aims to bring the power of AI-driven conversations to users worldwide. Notably, there is no dedicated Gemini app for iOS, but iPhone users can access Gemini through a toggle within the Google app, unlocking the chatbot’s capabilities.

To use the Gemini app on Android, users need a device with a minimum of 4GB of RAM and operating on Android 12 or later. Similarly, iPhone users with iOS 16 or later can interact with the chatbot through the Google app, activating the feature via a toggle in the top-right corner. Currently, the app supports English, Japanese, and Korean languages.

Gemini’s global rollout commenced recently and is expected to continue over the next few days, allowing users worldwide to seamlessly integrate the chatbot into their digital experiences. Users must be signed in to a personal Google Account or a Workspace account with the feature enabled by the administrator.

Addressing user concerns, Jack Krawczyk, Senior Director of Product at Google overseeing Gemini, mentioned that restrictions on image uploading and generation were being relaxed. He emphasized responsible alignment on refusals for both images and text. Additionally, Krawczyk acknowledged user feedback regarding clarity on the assistant’s capabilities over Google Assistant and assured improvements in communication on features in progress versus those already available.

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Since the recent launch of ChatGPT, AI discussions have been buzzing worldwide. Several tech giants have introduced their AI models, and now Google has joined the race with the unveiling of ‘Gemini AI,’ an advanced Artificial Intelligence model.

Claiming to be smarter than existing models, Google has introduced its Advanced Artificial Intelligence model ‘Gemini AI.’ Sundar Pichai, the CEO of Google, shared that this model draws inspiration from human conversations. In simple terms, it aims to understand interactions between individuals, shaping the development of this AI model.

Developed collaboratively by DeepMind and Google Research teams, Gemini AI is capable of handling various tasks, including text, images, audio, and coding. It offers three versions: ‘Ultra’ for complex tasks, ‘Pro’ for multitasking, and ‘Nano’ for on-device operations.

Available on Google Board Soon

Google Assistant and Board’s Vice President Sisi Hsiao revealed that Gemini Pro version will launch on Board from December 6, offering specialized support. This chatbot will assist users in comprehending stories, summarizing information, engaging in debates, coding, and outlining plans.

New Year, New Features

Starting next year, Gemini Ultra version will also be supported on Google Board. With multi-model reasoning capabilities, Gemini Ultra promises to excel in understanding high-quality code in various coding languages, making it a valuable tool for comprehending, explaining, and generating new code.

Accessible Across 170+ Countries

Google plans to roll out Gemini Pro initially with text-based prompts, with multi-model support coming later. The new AI will be available in over 170 countries, expanding its accessibility. While English will be the initial language, support for additional languages is on the horizon.

Google’s commitment to evolving AI models like Gemini AI reflects a global effort to bring smarter, more intuitive technology to users worldwide. Stay tuned for updates as Google continues to push the boundaries of conversational AI

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