Best AI Research Tools for Google AI Ultra

Gemini Notebook (formerly NotebookLM) is an AI notebook and source-grounded learning tool that helps users understand information faster. The platform allows users to upload their own sources, ask questions, and receive answers based on the materials they provide. Gemini Notebook is designed to make notes, documents, reports, and study materials more useful by turning them into interactive knowledge resources. Users can generate Audio Overviews, Mind Maps, Reports, Flashcards, Quizzes, Video Overviews, Data Tables, Infographics, and Slide Decks from their content. Audio Overviews let users hear summaries of their sources read aloud, making it easier to learn while listening. Public notebooks give users examples to explore, including collections on super agers, life advice, Shakespeare, and major corporate earnings reports. Gemini Notebook is positioned as a tool for learning any subject with the help of trusted source material rather than general AI responses alone. The product also highlights privacy protections, especially for organizations and schools whose data stays private. By combining source-grounded answers, study tools, multimedia summaries, and structured content generation, Gemini Notebook helps users learn, research, and organize information more effectively.

Gemini 2.5 Deep Think represents an advanced reasoning capability within the Gemini 2.5 suite, employing innovative reinforcement learning strategies and extended, parallel reasoning to address intricate, multi-faceted challenges in disciplines such as mathematics, programming, scientific inquiry, and strategic decision-making. By generating and assessing various lines of reasoning prior to delivering a response, it yields responses that are not only more detailed and creative but also more accurate, while accommodating longer interactions and integrating tools like code execution and web searches. Its performance has achieved top-tier results on challenging benchmarks, including LiveCodeBench V6 and Humanity’s Last Exam, showcasing significant improvements over earlier iterations in demanding areas. Furthermore, internal assessments reveal enhancements in content safety and tone-objectivity, although there is a noted increase in the model's propensity to reject harmless requests; in light of this, Google is actively conducting frontier safety evaluations and implementing measures to mitigate risks as the model continues to evolve. This ongoing commitment to safety underscores the importance of responsible AI development.