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Careers at the Frontier: Hiring the Future at OpenAI


Joaquin Quiñonero Candela & Natalie Cone
When AI Meets Culture
Kush Amerasinghe
Reimagining Economic Progress in the Age of AI
Cezary Gesikowski
Memory’s Blueprint: How AI Is Uncovering and Rebuilding the Architecture of the Mind
Anton Maximov PhD
Synaptic Architecture of a Memory Engram in the Mouse Hippocampus
Anton Maximov PhD & Marco Uytiepo
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Kush Amerasinghe · Jul 9th, 2025
This article explores the intersection of artificial intelligence and cultural heritage, anchored by a vivid firsthand encounter with a historic artifact from Singapore’s Peranakan Museum, showcased at the inaugural OpenAI Forum in Singapore. Author Kush Amerasinghe recounts an experience with a centuries-old kamcheng pot, brought to life through a conversational AI developed by the Paris-based startup Ask Mona. The AI, embedded in a museum exhibit, offered rich historical and cultural insights—an interaction that sparked deeper reflection on the promise and limits of AI in authentically representing and preserving human culture.
At the heart of Amerasinghe’s reflection is a core tension in cultural AI: balancing the specificity of deeply rooted traditions with the universality needed for scale and accessibility. He cautions against the risk of cultural “McDonald’s-ization”—the reduction of complex heritage into generic, globally palatable experiences. To counter this, the article advocates for new AI models that embed cultural multiplicity, foster ongoing community collaboration, and uphold ethical approaches that honor local knowledge systems.
Ultimately, Amerasinghe makes the case for an AI future rooted in cultural humility—where technology does not claim authority over heritage but instead sparks curiosity, encourages connection, and supports deeper learning. By embracing diverse perspectives and openly acknowledging its limitations, AI can act as a bridge to authentic cultural engagement, rather than a replacement for it.
# Ethical AI
# Cultural Production
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Cezary Gesikowski · Jul 7th, 2025
In his reflective piece on OpenAI’s forum “Making AI Work for Everyone”, Cezary Gesikowski, AI & Innovation Capability Development Lead at the Government of Canada, shares a personal and professional awakening sparked by the dialogue between Kevin Weil (OpenAI) and Erik Brynjolfsson (Stanford). He highlights how AI is reconfiguring our understanding of productivity, value, and governance, urging a shift from cost-centered to benefit-centered frameworks like GDP-B. Gesikowski aligns his frontline experiences in the Canadian public sector with Brynjolfsson’s “productivity J-curve,” observing that cultural rigidity, not technology, often impedes AI adoption.
Drawing parallels between historical technological revolutions and today’s AI transformation, he stresses the need for reimagined workflows and adaptive ecosystems. The piece also applauds emerging global AI leadership, such as Canada’s policy strides and the UAE’s universal ChatGPT Plus access, as signs of inclusive innovation. He advocates for embracing human-AI complementarity, organizational ambidexterity, and global metrics that better capture digital value.
Ultimately, Gesikowski sees AI not just as a technical tool, but as a societal lever that, if used wisely, can foster equity, dynamism, and human flourishing.
# AI Economics
# Career
# Future of Work
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Anton Maximov PhD · Jun 26th, 2025
Dr. Anton Maximov delivered a compelling presentation on how artificial intelligence is revolutionizing neuroscience by enabling the analysis of complex brain structures at an unprecedented scale and speed. His work uses AI-driven tools—particularly convolutional neural networks integrated with 3D electron microscopy—to uncover the nanoscale architecture of long-term memory. This research, previously impossible with manual techniques, showcases how AI transforms the pace, precision, and possibility of scientific discovery. Dr. Maximov also reflected on how AI is streamlining everyday scientific tasks, democratizing hypothesis generation, and setting the stage for more dynamic, scalable, and biologically inspired AI systems. His talk illustrated a future where AI not only accelerates research but redefines how science is conceived, conducted, and shared.
# AI Science
# Innovation
# Scientific Advancement
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Anton Maximov PhD & Marco Uytiepo · Jun 12th, 2025
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.
# AI Science
# Innovation
# STEM
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Ronnie Chatterji & Dr. Karin Kimbrough · Jun 5th, 2025
This discussion between OpenAI's Chief Economist Ronnie Chatterji and LinkedIn’s Chief Economist Karin Kimbrough explores the current and future impact of generative AI on the labor market, highlighting macroeconomic dynamics, evolving skill demands, and global disparities in AI adoption. Kimbrough offers labor market insights based on LinkedIn data, while Chatterji connects these to policy, infrastructure, and human-centered innovation themes promoted by OpenAI.
# AI Economics
# AI Literacy
# Career
# Future of Work
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Yochi Dreazen · Jun 5th, 2025
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.
# AI and Creativity
# AI Art
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Shahram Yazdani, Sebastian Salazar, Mericien Venson, MD, PhD & 1 more speaker · May 16th, 2025
This presentation showcased how Dr. Shahram Yazdani and his interdisciplinary team at UCLA are using AI and OpenAI’s language models to enhance diagnostic precision and address systemic inequities in healthcare. By leveraging text embeddings and semantic vectorization, their projects aim to reduce diagnostic errors, predict hospitalizations, and personalize care—especially for children with complex medical needs in underserved communities.
# AI Science
# Healthcare
# Innovation
# Socially Beneficial Use Cases
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Louis-David Benyayer & Jayna Devani · May 7th, 2025
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.
# Higher Education
# AI Adoption
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Kevin Weil & Erik Brynjolfsson · May 1st, 2025
Replay: Learn how AI is reshaping the economy—and why its true impact goes beyond traditional metrics.
Earlier this year, the OpenAI Forum hosted a fireside chat featuring Kevin Weil, Chief Product Officer at OpenAI, and Erik Brynjolfsson, Stanford professor and digital economy expert. They explored how AI differs from past technological revolutions, why its benefits often escape traditional economic measurements, and how businesses can integrate AI to augment—not replace—human workers.
# AI Economics
# AI Literacy
# AI Policy
# Future of Work
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