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Deep Research: The Evolution of AI Agents

Introduction to Deep Research

• The speaker shares exciting news about improvements in Deep Research, an AI agent that has become more effective in its tasks.

• Defines an AI agent as a system capable of self-prompting and executing complete processes autonomously.

Understanding AI Agents

• Discusses the misuse of the term "agent" by brands, highlighting that many so-called agents are merely automation tools rather than true agents.

• Introduces Cloudbot as a genuine example of an autonomous agent capable of independent actions.

The Significance of Deep Research

• Describes Deep Research as one of the first useful AI agents, available across various platforms like Gemini and Copilot.

• Emphasizes its role in performing economically valuable tasks that can replace human processes rather than just speeding them up.

Practical Applications and Benefits

• Explains how to activate Deep Research within ChatGPT and outlines usage limits based on account types (free, Plus, Pro).

• Shares a practical example where Deep Research is used to gather information for podcast preparation, replacing manual research previously done by a team member.

Impact on Workflow and Efficiency

• Highlights the efficiency gained from using Deep Research, which takes significantly less time than traditional methods while being cost-effective.

• Notes that this shift allows team members to focus on higher-value tasks, leading to increased productivity and more frequent podcast episodes.

Challenges with Information Reliability

• Acknowledges issues with information reliability when using sources like New York Times or other forums during research.

Deep Research Enhancements in Chat GPT

New Features and Functionality

• The recent updates to Chat GPT's Deep Research feature allow users to filter searches by specific websites, enhancing the relevance of information retrieved.

• Users can manage sites for targeted searches, enabling them to prioritize certain websites while excluding others from their queries.

• A hybrid model is available where users can emphasize selected sites but still allow broader internet searches for comprehensive results.

Improved Planning and Execution

• The AI now presents a structured plan before executing a search, detailing steps such as gathering relevant threads and comparing explanations with key concepts.

• Users have the option to edit the AI's plan, allowing for more tailored inquiries that focus on scientific explanations rather than forum-specific content.

Results Comparison

• The output from Deep Research based on user-selected sources (e.g., foro coches) may differ significantly in quality compared to reputable scientific websites like Einstein Online.

• While both outputs may appear correct, the reliability of information sourced from established scientific platforms is emphasized as superior.

AI Tools for Everyday Use

Introduction to Plot

• Plot is introduced as a practical tool that records real-life conversations, transcribes them, and processes the data using AI for analysis and summarization.

• It offers features like internal GPT models that can manipulate gathered information into various formats based on user needs.

Enhancements in Meeting Management

• Recent devices from Plot include physical buttons to mark important moments during meetings, facilitating quick identification of key discussion points.

Future Directions of Deep Research

Integration with Business Applications

• Upcoming enhancements will enable Deep Research functionality within integrated applications, focusing on company-specific documentation and client-related information.

• Effective organization of company data is crucial for maximizing AI capabilities in business contexts.

Intelligent AI Enhancements and Their Applications

Advancements in AI Capabilities

• The discussion highlights the ability of AI to handle simpler tasks, such as managing cloud services like Drive and email functionalities, showcasing its expanding utility.

• Emphasis is placed on the horizontal advancement of AI technologies, where improvements are not just about making existing models smarter (e.g., GPT 5.3 Codex), but also enhancing their applicability across various use cases.

• The introduction of the Deep Research agent within Chat GPT is noted as a significant development that allows users to filter information sources, addressing concerns over misinformation and unreliable data.

Practical Applications and User Benefits

• The functionality of filtering out fake news and unreliable sources is presented as one of the most valuable features of Chat GPT today, potentially saving users considerable time in research tasks.