What is Google’s NotebookLM and where is it now available?
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Google Expands AI-Powered NotebookLM to 200+ Countries

Google has extended its AI note-taking tool, NotebookLM, to over 200 countries, including India and the UK. Powered by Google’s LLM Gemini 1.5 Pro, the platform now supports 108 languages and enables users to generate summaries and ask questions based on uploaded documents. Originally showcased as Project Tailwind at Google I/O 2023, NotebookLM assists in summarizing and querying documents using AI. It now allows sourcing content from Google Slides and web URLs, in addition to Google Docs and PDFs. New features include inline citations for fact-checking and a Notebook Guide for content conversion. Google Labs’ editorial director highlighted its applications in research, writing, and content creation. Google assures user privacy, stating that data uploaded on NotebookLM is not used for training algorithms. Future plans include integrations with note-taking apps and Audio Overviews powered by the Gemini model.

Google Play Implements Stricter Guidelines for AI Apps Amid Deepfake Nude Concerns

Google is taking action to regulate AI apps on Google Play following the circulation of apps promoting deepfake nude images. The new guidelines require developers to prevent the creation of restricted content, such as sexual and violent material, and provide users with a means to report offensive content. Apps falsely advertising inappropriate features will face removal, even if the capability does not exist. Google aims to filter out apps with harmful AI-generated content through its policies and emphasizes the importance of user feedback and testing to ensure safety and privacy compliance. Developers must adhere to Google’s regulations, including prohibiting the generation of restricted content and refraining from advertising rule-breaking features. Safeguarding against manipulative prompts and documenting testing processes are crucial steps to app approval on Google Play. Google encourages developers to utilize resources like the People + AI Guidebook to build responsible AI apps and maintain user safety in the digital landscape.

Meta Introduces AI-Powered Features to WhatsApp Business App

During Meta Conversations conference in Brazil today, Mark Zuckerberg unveiled AI-powered features for WhatsApp Business apps, enabling the creation of click-to-WhatsApp ads and automated responses to customer messages. Meta aims to facilitate business-customer interactions with AI agents and enhance conversational commerce.

WhatsApp Business users can now utilize AI for creating Facebook and Instagram ads that initiate WhatsApp chats. Meta is testing AI-driven customer support in India and Singapore, with plans to expand to Brazil. AI-generated messages will be clearly marked to distinguish them from human representatives.

Additionally, WhatsApp will leverage AI to target specific customer subsets for messaging beyond order updates. Meta offers these tools for free, targeting merchants seeking efficient CRM solutions. The collaboration with business partners like RelianceJio’s Inerakt and Gupshup aims to scale conversational commerce using generative AI assistants.

Meta’s revenue strategy for WhatsApp Business relies on increasing customer interactions through AI tools, aiming to enhance conversational experiences and drive business growth.

Adobe Introduces AEP AI Assistant for Enhanced Customer Data Management

Adobe unveils the AEP AI Assistant, a groundbreaking update to the Adobe Experience Platform (AEP) at the Summit conference in Las Vegas. The AI Assistant integrates with an enterprise’s customer data and advertising assets to provide real-time insights, personalized content creation, and audience segmentation without the need for SQL knowledge.

The AEP AI Assistant caters to marketers by answering queries, identifying high-value customers, and suggesting optimal re-engagement strategies. It can also generate marketing assets like emails, web pages, and creative briefs using Adobe’s AI image generation model, Firefly.

Future updates will include predictive analytics capabilities for AEP users to forecast conversions and analyze segment attributes. While these features enhance customer engagement and outreach, concerns remain about Adobe’s updated Terms-of-Service agreement regarding remote access to creative content for moderation and machine learning purposes.

Tektonic AI Secures $10M Funding for GenAI Business Automation

Seattle-based Tektonic AI emerges from stealth with a $10M seed funding round led by Point72 Ventures and Madrona Ventures. Co-founded by Nic Surpatanu, the startup combines Generative AI with traditional methods to enable natural language-based workflow automation, focusing on areas like quotes and renewals. Surpatanu emphasizes the importance of combining Generative AI with symbolic methods for optimal automation results. Tektonic aims to enhance adaptability and user intent understanding in business operations, addressing limitations faced by traditional RPA solutions. The company’s approach aims to increase automation efficiency from 50% to 80%, offering a significant advancement in process automation. The team is collaborating with design partners to refine its system, envisioning a future as a SaaS company that seamlessly integrates with businesses’ existing APIs. Currently, Tektonic deployment involves installing the system as a container in a business’ virtual private cloud.

Frequently asked questions

NotebookLM is Google’s AI-powered note-taking tool that has recently expanded to over 200 countries, including India and the UK. Powered by Gemini 1.5 Pro, it supports 108 languages and allows users to upload documents for AI-assisted summaries and queries. The tool can process content from Google Docs, PDFs, Google Slides, and web URLs, offering features like inline citations and a Notebook Guide for content conversion.
Google Play has implemented stricter guidelines for AI apps, particularly targeting those promoting deepfake nude images. The new regulations require developers to prevent the creation of restricted content and provide user reporting mechanisms. Apps advertising inappropriate features will be removed even if the capability doesn’t exist. Developers must document testing processes and follow Google’s People + AI Guidebook for responsible AI app development.
Meta has launched AI-powered features for WhatsApp Business that enable the creation of click-to-WhatsApp ads and automated customer responses. The system allows businesses to create Facebook and Instagram ads that initiate WhatsApp chats and provides AI-driven customer support. Currently being tested in India and Singapore, these tools are offered free to merchants and include capabilities for targeted messaging beyond order updates.
Adobe’s AEP AI Assistant integrates with enterprise customer data and advertising assets to provide real-time insights and personalized content creation without requiring SQL knowledge. It helps marketers identify high-value customers, suggests re-engagement strategies, and can generate marketing assets using Adobe’s Firefly AI image generation model. The system also includes predictive analytics capabilities for conversion forecasting.
Google maintains user privacy in NotebookLM by ensuring that data uploaded to the platform is not used for training their algorithms. The system provides secure document processing while offering AI-powered features. Future plans include integrations with note-taking apps and Audio Overviews, all while maintaining strict privacy standards.
Google Play now requires AI app developers to implement specific safety measures, including preventing restricted content generation, providing user reporting mechanisms, and documenting testing processes. Developers must avoid advertising rule-breaking features and implement safeguards against manipulative prompts. These guidelines aim to maintain user safety and privacy in the AI app ecosystem.
Tektonic AI combines Generative AI with traditional methods to enable natural language-based workflow automation. The company focuses on automating processes like quotes and renewals, aiming to increase automation efficiency from 50% to 80%. Their system is deployed as a container in a business’s virtual private cloud and integrates with existing APIs, offering a more adaptable approach to business process automation.
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Gor Gasparyan

Optimizing digital experiences for growth-stage & enterprise brands through research-driven design, automation, and AI