How Balyasny Asset Management built an AI research engine

From assistance to execution: How enterprises put AI to work

OpenAI research reveals how enterprises are adopting agentic AI, using ChatGPT and Codex, and how frontier firms are pulling ahead in AI adoption.

How to manage AI investments in the agentic era

Learn how enterprises can manage AI investments in the agentic era by measuring useful work per dollar, improving efficiency, and scaling high-value workflows.

The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management

The paper introduces an agentic strategic asset allocation pipeline called the Self Driving Portfolio, where 44 specialized agents generate market assumptions, 21 competing methods construct portfolios, and agents critique and vote on each other's outputs. A researcher agent can propose new construction methods, while a meta agent evaluates past forecasts against realized returns and rewrites agent code and prompts to enhance future performance. The entire process is governed by an Investment Policy Statement, mirroring the document that guides human portfolio managers, thereby constraining and directing autonomous agents.

Introducing the OpenAI Economic Research Exchange

OpenAI launches the Economic Research Exchange to study AI’s impact on jobs, productivity, and the economy. Applications are now open for selected research projects.

Introducing the OpenAI Economic Research Exchange

OpenAI launches the Economic Research Exchange to study AI’s impact on jobs, productivity, and the economy. Applications are now open for selected research projects.

AssetOpsBench: Bridging the Gap Between AI Agent Benchmarks and Industrial Reality

Automating 90% of finance and legal work with agents

Hebbia’s deep research automates 90% of finance and legal work, powered by OpenAI

Research acceleration: The view inside OpenAI

The article discusses how coding agents are transforming AI research within OpenAI. It presents early data on agent usage, experiment velocity, task complexity, and the resulting acceleration of research. The piece highlights the growing role of these agents in speeding up development and experimentation.

How workers are unlocking new ways of working

The article discusses findings from OpenAI Economic Research that illustrate how workers are integrating AI into their jobs beyond conventional roles. It highlights specific new activities that are becoming regular components of their work routines. The research provides insight into the evolving nature of work in the AI era.

AI in Australia—OpenAI’s Economic Blueprint

Today, OpenAI, in partnership with Mandala Partners, is sharing the OpenAI AI Economic Blueprint for Australia. At a time when boosting productivity has emerged as a national priority for Australia, the Blueprint provides a clear, actionable plan for how Australia can unlock the full economic and social potential of artificial intelligence.

Using OpenAI o1 for financial analysis

Rogo scales AI-driven financial research with OpenAI o1

Ontology-supported AI Model and Dataset Management

The paper introduces an ontology-supported platform designed to facilitate the exchange, usage, and analysis of AI models and datasets. It addresses the need for effective management of AI assets in industrial settings by providing a structured framework that reduces semantic gaps. A real‑time critical systems use case demonstrates the platform’s practical utility.