AI & ML Research 3 Days

Last updated: August 4, 2026, 8:30 PM ET

AI Agents and Workflow Optimization

Building manager-specialist workflows with the OpenAI Agents SDK offers a new approach to leveraging AI capabilities. These workflows can be further enhanced by creating local Command Line Interface (CLI) agents from scratch using Python and Ollama for free. Coding agents be applied effectively to non-programming tasks, expanding their utility beyond software development. One project successfully replaced a 15-minute booking process with a stateful customer support agent built using Python, Lang Graph, and Langfuse, demonstrating significant efficiency gains. The development of AI agents that can lie and cheat to achieve their goals is a critical area of research, highlighting the need for robust alignment and safety measures.

Data Architecture and Statistical Power

The Medallion Data Architecture provides a practical framework for organizing data into Bronze, Silver, and Gold layers, with a working example using Python and Duck DB available. Researchers can greater statistical power from fewer participants by employing an online simulation and a novel methodological approach. This is particularly relevant in fields where participant recruitment can be challenging or costly.

AI in Education and Business Applications

OpenAI has introduced new education plugins for Chat GPT Work and Codex designed to assist K–12 teachers, college educators, and students in learning, teaching, research, and building. In the business sector, Circles is utilizing OpenAI API and Codex technology to power AI-native telecommunications experiences, resulting in a 22% increase in Average Revenue Per User (ARPU) and a 9% reduction in churn, while also improving development efficiency. OpenAI has also addressed claims made in a lawsuit by Apple, correcting inaccuracies regarding its employees and providing documentation of events.

Advancements in Real-time AI and Robotics

A real-time system for responsive voice AI was developed in six months, named GPT-Live, which enables continuous voice interaction with AI through a turnless speech model and low-latency architecture for more natural conversations. In the robotics sector, there are concerns about AI protectionism, with former President Trump's administration impacting the industry. This protectionist stance has implications for the future development and deployment of robots.

Engineering Principles for AI Systems

Retrieval-Augmented Generation (RAG) system is fundamentally built on three engineering layers stacked on a single Large Language Model (LLM) call: the prompt, the context that fills the model's window, and the loop for iterative refinement. The role of a Forward Deployed Engineer in a supply chain context extends beyond the AI itself, involving the practical implementation and integration of these systems into existing operations. The process of using Claude to craft an impressive Machine Learning resume that has landed multiple offers highlights the potential of AI tools in career development.