Google is testing an AI-only version of its search engine, introducing a feature called “AI Mode” that provides users with AI-generated summaries instead of traditional search results. This experimental feature is currently available to Google One AI Premium subscribers at $19.99 per month, offering additional benefits like extra cloud storage and special AI functionalities.

“AI Mode” replaces the classic list of links with comprehensive AI-generated summaries, including hyperlinks to cited webpages and a search bar for follow-up questions.This shift aims to enhance user experience by providing more direct and nuanced answers to complex queries. The feature leverages Google’s custom Gemini 2.0 model, known for its enhanced reasoning capabilities and multimodal AI integration.

This initiative reflects Google’s strategic focus on AI integration amid rising competition from AI challengers like OpenAI.However, the move has raised concerns among publishers about potential declines in website traffic, as users might rely more on AI summaries provided directly by Google.Additionally, Google faces challenges, including a lawsuit from edtech company Chegg regarding competitive concerns over AI-generated content previews.

Despite these challenges, Google’s search growth remains strong, handling over 5 trillion searches annually with a 20% growth since ChatGPT’s launch in late 2022.The company continues to innovate its search capabilities, introducing features like AI Overviews to enhance user experience.

In conclusion, Google’s testing of an AI-only search engine represents a significant shift in how users interact with information online. By integrating advanced AI models like Gemini 2.0, Google aims to provide more direct and nuanced answers to user queries. While this innovation offers potential benefits in user experience, it also raises important considerations regarding content sourcing and the future dynamics between search engines and content publishers.

Sources-

https://indianexpress.com/article/technology/artificial-intelligence/google-tests-an-ai-only-version-of-its-search-engine-9871187

https://www.reuters.com/technology/artificial-intelligence/google-tests-an-ai-only-version-its-search-engine-2025-03-05

AutoScience Carl: Pioneering Autonomous Scientific Research

The advent of artificial intelligence has transformed numerous industries, and the realm of scientific research is no exception. AutoScience Carl represents a significant leap forward, embodying an AI framework designed to autonomously conduct scientific investigations and disseminate findings through peer-reviewed publications. This development holds the potential to accelerate the pace of discovery and redefine the traditional research paradigm.

Key Features of AutoScience Carl:

1. Hypothesis Generation: Utilizing extensive datasets and existing literature, AutoScience Carl formulates novel research hypotheses, identifying gaps in current knowledge and proposing pertinent research questions.
2. Experimental Design and Execution: The AI system designs robust experiments, selecting appropriate methodologies and analytical techniques to test its hypotheses effectively.
3. Data Analysis: Employing sophisticated algorithms, AutoScience Carl processes and interprets experimental data, ensuring rigorous statistical validation and deriving meaningful conclusions.
4. Manuscript Preparation: The AI drafts comprehensive research papers, complete with abstracts, methodologies, results, discussions, and references, adhering to the standards of scientific publishing.
5. Peer Review Simulation: AutoScience Carl can simulate the peer review process, critically evaluating its own work to enhance the quality and reliability of its publications.

Implications for the Scientific Community:

The integration of AI systems like AutoScience Carl into the research ecosystem presents both opportunities and challenges:

• Accelerated Discovery: By automating routine and time-consuming aspects of research, AI can significantly expedite the discovery process, allowing human scientists to focus on more complex and creative tasks.
• Enhanced Collaboration: AI scientists can serve as valuable collaborators, offering data-driven insights and augmenting human expertise in multidisciplinary research endeavors.
• Ethical Considerations: The rise of autonomous AI researchers necessitates discussions on ethical guidelines, authorship attribution, and the potential biases inherent in AI-generated research.

Case Studies and Achievements:

AutoScience Carl has already demonstrated its capabilities across various scientific domains:

• Machine Learning Research: The AI system has independently developed novel algorithms, contributing to advancements in artificial intelligence and data science.
• Biomedical Studies: AutoScience Carl has conducted research on protein folding mechanisms, offering new insights into complex biological processes and potential therapeutic targets.
• Environmental Science: The AI has analyzed climate data to identify patterns and predict environmental changes, aiding in the development of sustainable solutions.

Future Prospects:

The success of AutoScience Carl paves the way for the development of more sophisticated AI researchers capable of tackling increasingly complex scientific challenges. As these systems evolve, they are expected to collaborate more seamlessly with human scientists, driving innovation and expanding the frontiers of knowledge.

Sources–

https://www.theinsaneapp.com/2024/08/this-ai-scientist-handles-the-entire-research-process.html

https://www.aimodels.fyi/papers/arxiv/ai-scientist-towards-fully-automated-open-ended

Coca-Cola’s AI Ad Faces Backlash for Lack of Creativity

In a bid to stay ahead of digital trends, Coca-Cola launched an AI-powered advertisement that aimed to redefine marketing through artificial intelligence. However, instead of being met with praise, the ad has been widely criticized for feeling generic, uninspired, and lacking the brand’s signature emotional appeal.

The ad, which was produced with the help of AI tools, features a collection of visually striking yet disconnected scenes, attempting to tell a brand story without the usual human touch. While the AI-generated visuals are sleek and polished, many viewers felt that the ad lacked the storytelling depth and emotional connection that Coca-Cola ads are known for.

What Went Wrong with Coca-Cola’s AI Ad?

Several advertising experts and social media users have pointed out key issues with Coca-Cola’s AI-generated campaign:

1. Lack of Human Emotion – Unlike Coca-Cola’s iconic ads that evoke nostalgia and happiness, this AI-generated version feels robotic and impersonal.
2. Repetitive Visuals – Many of the AI-created images appear generic, failing to create a distinct brand identity.
3. Disjointed Storytelling – Instead of a coherent narrative, the ad jumps between various AI-generated clips that don’t form a strong emotional connection.
4. Missed Opportunity – AI could have been used to enhance human creativity rather than replace it entirely, leading to a more compelling campaign.

The Role of AI in Advertising: Innovation or Over-Reliance?

AI has rapidly become a tool of choice for many brands looking to streamline their advertising processes. From personalized recommendations to automated content creation, AI can enhance marketing efficiency. However, Coca-Cola’s latest campaign raises concerns about over-reliance on AI at the expense of human creativity.

Industry experts argue that AI should complement creative teams rather than replace them. While AI can generate visuals and automate production, true brand storytelling requires human emotion, cultural understanding, and strategic messaging—elements that AI still struggles to master.

Consumer Reactions: Disappointment and Criticism

Following the ad’s release, social media was flooded with mixed reactions. While some praised Coca-Cola for experimenting with AI, others called the campaign lazy and uninspired. Many consumers expressed their preference for past Coca-Cola ads, which featured heartfelt narratives, relatable characters, and strong emotional connections.

Comments from disappointed fans included:

• “This doesn’t feel like Coca-Cola. It’s just AI-generated images with no soul.”
• “If this is the future of advertising, I’d rather stick to traditional creative campaigns.”
• “AI should be used as a tool, not a replacement for creativity.”

What’s Next for Coca-Cola?

Despite the backlash, Coca-Cola remains committed to exploring AI’s role in marketing. The company is likely to refine its approach, integrating AI with human creativity rather than solely relying on automation. Future campaigns may combine AI-powered efficiency with traditional storytelling to strike the right balance between technology and emotion.

A Cautionary Tale for Brands

Coca-Cola’s AI ad serves as a lesson for brands navigating the AI revolution. While AI can enhance marketing efforts, it cannot replace the essence of great advertising—human connection. As AI continues to evolve, brands must find ways to integrate it effectively without losing their creative authenticity.

Sources-

https://www.theshortcut.com/p/coca-colas-latest-ai-advert-is-as-lazy-as-it-gets

https://techstory.in/coca-colas-ai-generated-christmas-ad-sparks-backlash-from-fans

Honor Bets Big on AI with ‘Intelligent Phone’

In an era where artificial intelligence is reshaping industries, Honor is making bold moves to leverage AI in the smartphone space. The company recently announced the development of its AI-powered ‘Intelligent Phone,’ a device designed to offer an enhanced user experience through machine learning, deep neural processing, and advanced AI models.

Honor’s CEO highlighted that the new ‘Intelligent Phone’ will focus on real-time learning, personalized user adaptation, and AI-driven multitasking. Unlike traditional smartphones, which rely on pre-programmed responses, Honor’s new device will dynamically adjust its features based on user behavior and environmental factors.

Key AI Features of Honor’s Intelligent Phone:

1. AI-Powered Camera System – The device will feature an advanced AI-driven photography system that optimizes images in real time, recognizes scenes, and enhances photo clarity based on lighting conditions.
2. Smart Assistant – Honor is integrating an AI assistant capable of deep contextual understanding, offering proactive suggestions, managing tasks, and improving communication efficiency.
3. Performance Optimization – The AI algorithms will monitor usage patterns, optimize background processes, and enhance battery life by adjusting power consumption dynamically.
4. Seamless AI Interactions – Users can expect advanced voice recognition, gesture-based interactions, and predictive typing, making interactions more fluid and intuitive.
5. Privacy & Security – The AI system will feature on-device processing to ensure data privacy, along with advanced security features like facial recognition and behavioral authentication.

Honor’s Vision for AI in Smartphones

Honor’s move aligns with the growing industry trend of AI-powered mobile devices. Competing brands like Apple and Samsung have already begun incorporating AI into their ecosystems, but Honor’s approach focuses on making AI the central component rather than an add-on feature.

Honor believes that AI-powered smartphones will soon become a necessity rather than a luxury. By enabling devices to think, learn, and respond intelligently, the company aims to offer a truly immersive and personalized digital experience.

Industry Experts Weigh In

Technology analysts predict that AI-driven smartphones will dominate the next wave of mobile innovation. With AI improving personalization, efficiency, and real-time adaptability, devices like Honor’s ‘Intelligent Phone’ are expected to pave the way for a new generation of mobile computing.

Experts also suggest that AI-powered smartphones could significantly impact industries such as gaming, content creation, and virtual assistance. As AI continues to evolve, its integration into smartphones will push the boundaries of what mobile devices can achieve.

Expected Launch and Availability

While Honor has not yet disclosed the official launch date of its ‘Intelligent Phone,’ industry insiders speculate that the device could hit the market by the end of 2025. With Honor’s proven track record in innovation, this AI-powered smartphone is expected to set new standards in the industry.

Resource-

https://www.thehindu.com/sci-tech/technology/gadgets/honor-smartphone-maker-bets-on-ai-powered-intelligent-phone/article69284156.ece

OpenAI has announced plans to integrate its AI video generation tool, Sora, into ChatGPT, aiming to enhance the platform’s capabilities by allowing users to create videos directly within their conversations.This development signifies a significant advancement in AI-driven content creation, offering users a more dynamic and interactive experience.

Sora: Transforming Text into Video

Sora is OpenAI’s text-to-video model designed to generate videos from text prompts, images, and video inputs.Initially launched in the US and recently introduced in the UK, Sora allows users to create videos up to 20 seconds long in various aspect ratios and resolutions, including up to 1080p.The integration of Sora into ChatGPT aims to provide users with a seamless experience, enabling the generation of videos directly within their conversations.

Subscription Plans and Accessibility

OpenAI offers Sora through two subscription tiers:

ChatGPT Plus: Priced at $20 per month, this plan allows subscribers to generate up to 50 videos monthly, with resolutions up to 720p and durations up to 5 seconds.

ChatGPT Pro: At $200 per month, this plan offers unlimited video generations, enabling users to create up to 500 priority videos at the highest resolutions.

Currently, Sora is not available in EU countries, Switzerland, and the UK, but OpenAI plans to refine and extend its availability as deepfake mitigations improve.

Safety Measures and Ethical Considerations

OpenAI has implemented measures to prevent misuse of Sora, including blocking the creation and upload of abusive content such as child sexual abuse materials and sexual deepfakes.

reuters.com The company plans to include C2PA metadata in future deployments to help detect misleading content and ensure ethical use of the technology.

The planned integration of Sora into ChatGPT represents a significant step forward in AI-driven content creation, offering users the ability to generate videos seamlessly within their conversations. As OpenAI continues to refine Sora’s capabilities and address ethical considerations, this development is poised to enhance user experience and set new standards in the field of artificial intelligence.

Sources-

https://thetechportal.com/2025/03/02/openai-plans-to-integrate-the-video-generator-tool-sora-into-chatgpt

https://www.reuters.com/technology/artificial-intelligence/openai-releases-text-to-video-model-sora-chatgpt-plus-pro-users-2024-12-09/

In a bold move set to redefine the digital landscape, Perplexity AI has announced the upcoming launch of ‘Comet,’ an AI-driven web browser designed to transform user interactions with the internet. Leveraging advanced artificial intelligence, Comet aims to introduce ‘agentic search’ capabilities, enabling autonomous task execution and a more intuitive browsing experience. This strategic initiative positions Perplexity AI to challenge established browser giants like Google Chrome and Microsoft Edge, marking a significant milestone in the evolution of web navigation.

Comet: Pioneering Agentic Search

At the core of Comet lies the concept of ‘agentic search,’ a feature that empowers the browser to perform tasks autonomously, thereby streamlining user workflows. This innovation signifies a departure from traditional search methods, offering a more interactive and efficient means of accessing information online. By integrating AI capabilities directly into the browser, Comet seeks to anticipate user needs and provide tailored solutions, setting a new standard for personalized web experiences.

Technical Foundation and Platform Compatibility

Built upon the robust Chromium framework, Comet ensures cross-platform compatibility, catering to both desktop and mobile users. This foundation not only guarantees a seamless browsing experience but also leverages the stability and security inherent in Chromium-based architectures. While specific details regarding platform support remain undisclosed, the choice of Chromium suggests a broad reach, aiming to accommodate a diverse user base.

Market Positioning and Competitive Landscape

Perplexity AI’s entry into the browser market introduces a formidable competitor to established players such as Google Chrome, Microsoft Edge, and Apple Safari. The integration of AI-driven features positions Comet uniquely, offering functionalities that extend beyond conventional browsing. As AI continues to permeate various facets of technology, Comet’s launch reflects a strategic effort to harness this trend, potentially reshaping user expectations and industry standards.

User Engagement and Anticipation

In anticipation of Comet’s release, Perplexity AI has initiated a waitlist, inviting users to register for early access. This approach not only gauges public interest but also fosters a community eager to explore the browser’s capabilities upon launch. While an official release date has yet to be announced, the growing excitement underscores the market’s readiness for innovative browsing solutions that integrate advanced AI functionalities.

Perplexity AI’s announcement of Comet signifies a pivotal development in the realm of web browsers, introducing AI-powered features that promise to enhance user experiences through autonomous and intelligent functionalities. As the digital landscape continues to evolve, Comet stands poised to offer a fresh perspective on how users interact with the internet, challenging existing paradigms and setting the stage for the next generation of web navigation tools.

Sources-

https://indianexpress.com/article/technology/artificial-intelligence/perplexity-comet-agentic-web-browser-9855131

https://readwrite.com/perplexity-teases-plans-to-launch-its-own-web-browser-comet

Comprehensive Overview of Granite 3.2’s Features:

Conditional Reasoning:

Granite 3.2 incorporates conditional reasoning, enabling the model to engage in step-by-step problem-solving processes. This feature allows the model to “think” through complex tasks, enhancing decision-making and judgment capabilities. Unlike traditional models that apply reasoning uniformly, Granite 3.2’s conditional approach permits users to activate this feature as needed, balancing computational efficiency with analytical depth.

Document Vision Processing:

Addressing the need for efficient document digitization, Granite 3.2 introduces a vision model optimized for processing and understanding legacy documents. This capability is particularly beneficial for organizations managing extensive archives, facilitating the extraction and analysis of information from scanned materials. By leveraging this feature, businesses can streamline workflows and enhance data accessibility.

Time Series Forecasting:

Granite 3.2 extends its functionality to include time series forecasting, utilizing transformer technology to predict future values from temporal data. This advancement is crucial for sectors reliant on trend analysis, such as finance, supply chain management, and retail inventory planning. The model’s ability to forecast up to two years into the future empowers organizations to make informed decisions and optimize operations.

Performance and Accessibility:

IBM emphasizes the efficiency of Granite 3.2, achieving competitive results with a smaller model size, thereby reducing computational costs. All Granite 3.2 models are available under the permissive Apache 2.0 license on platforms like Hugging Face, promoting accessibility and collaboration within the AI community. This open-source approach encourages developers and researchers to integrate Granite 3.2 into diverse applications, fostering innovation across industries.

The introduction of Granite 3.2 marks a significant milestone in IBM’s pursuit of advancing AI capabilities tailored for enterprise needs. By integrating conditional reasoning, document vision processing, and time series forecasting, IBM provides a versatile toolset for organizations to tackle complex challenges. The model’s open-source availability underlines IBM’s commitment to fostering an inclusive AI ecosystem, empowering businesses and developers to harness the potential of advanced AI technologies.

Sources-

https://indianexpress.com/article/technology/artificial-intelligence/ibm-expands-granite-model-family-with-granite-3-2-featuring-vision-and-reasoning-capabilities-9859856