This groundbreaking research reveals the physical architecture of memory engrams in the mouse hippocampus, pushing the boundaries of neuroscience through the integration of artificial intelligence with advanced 3D electron microscopy. By combining chemogenetic tagging of neurons with AI-driven image segmentation, the researchers achieved an unprecedented nanoscale reconstruction of hippocampal circuits involved in memory. Contrary to classical Hebbian theory, they found that neurons active during memory formation do not preferentially wire with each other; instead, they expand their connectivity via complex multisynaptic boutons (MSBs), enabling broader and more flexible information encoding. These structural changes were accompanied by synapse-specific enlargement, mitochondrial remodeling, and altered interactions with astrocytes—signatures linked specifically to negative-valence associative learning. The findings challenge traditional models of memory storage and suggest a novel mechanism where synaptic complexity, not just strength or density, enhances memory capacity. Overall, this study provides a structural foundation for understanding how the brain encodes, generalizes, and maintains long-term memories.

At the OpenAI Forum’s debut event in Asia, a groundbreaking collaboration with the Peranakan Museum, Singapore’s National Heritage Board, and Ask Mona demonstrated how AI can transform cultural engagement. Visitors now interact directly with artifacts through personalized, multilingual dialogues, highlighting AI’s potential to democratize access to heritage, deepen curiosity, and spark civic belonging.

This Forum session, led by OpenAI’s Jayna and ESCP’s Louis-David Benyayer, highlighted the transformative role of AI in education, particularly how institutions like ESCP are pioneering campus-wide adoption of generative AI (notably ChatGPT Edu). The session detailed experimental and scalable implementations of custom GPTs, reflections on responsible AI integration, and a broader philosophical shift toward preparing students for an AI-rich world. It underscored the value of change management, experimentation, and community-building in embedding AI tools meaningfully in academic and administrative settings.

Explore and leverage Deep Research in ChatGPT to dramatically speed up and elevate your research work. Deep Research, powered by OpenAI’s o3 reasoning model, autonomously browses, analyzes, and synthesizes hundreds of sources to deliver professional-grade, well-cited reports in minutes. Researchers Isa Fulford and Zhiqing (Edward) Sun emphasized that the best results come from clearly stating your research objective while giving the model creative freedom. OpenAI is expanding access and continuously improving safety, making Deep Research a transformative tool for professionals across science, finance, law, and more.

The evolving landscape of AI is marked by increasing generality, scalability, and advanced reasoning capabilities—trends exemplified by OpenAI’s "O series" models, which demonstrate the potential for AI to "think" before responding. In remarks by Noam Brown, Researcher at OpenAI, the discussion highlighted two key AI paradigms—pre-training and reasoning—and how models improve as they process more data and compute. These technical advances are not only accelerating model performance but also reshaping the strategic and economic dynamics of AI infrastructure. Complementing this, discussions led by OpenAI’s Chief Economist Ronnie Chatterji and Forum members explored how AI intersects with geopolitics, national security, and economic policy. They examined the balance between democratic and autocratic approaches to AI development, the implications for global alliances, and how AI infrastructure investments influence both economic and military strategy. Together, these conversations underscore the dual trajectory of AI: accelerating technical progress and deepening its role in global policy, infrastructure, and institutional governance.

The OpenAI Forum session featured two University of Maryland educators—Michel Cukier and Pam Orel—sharing real-world examples of integrating AI, especially ChatGPT, into their teaching. The conversation showcased practical applications, highlighted student engagement and learning improvements, and pointed to a larger vision of AI-enabled personalized education. OpenAI’s Kirk Gulezian framed the discussion within a broader mission to enhance, not replace, education, aligned with democratizing AI benefits and strengthening national competitiveness through innovation in education.

Earlier this year, the OpenAI Forum hosted a fireside chat on the economic implications of artificial intelligence with Kevin Weil, Chief Product Officer at OpenAI, and Erik Brynjolfsson, a Stanford University professor who studies the digital economy. They discussed how AI compares to past technological revolutions, why its benefits aren’t fully reflected in traditional metrics, and how to integrate AI so that it augments human workers rather than replacing them.