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…and Network Appliance. This earlier experience supplies context for his present responsibility for data infrastructure and engineering at MiraOmics. By May 2025, Honicky was publicly associated with AI applications in omics. Pythia…
…AI-content work, MacCloy built data systems and led software engineering organizations. His personal account dates his advertising-technology work to 2006–2010, notably at Quantcast, involving auction systems, automatic audience…
…and maintains that primary system. He describes autoresearch as engineering the latter: choosing feedback signals and evaluations that help agents improve the system and make architectural decisions. His practical advice is to filter…
…founding president, described his work on AI software engineering through Devin in an interview with Jason Richards. Previously, he led Scale AI’s machine-learning organization and worked on Tesla Autopilot. His decision to work on…
…whose OpenAI work developed a concrete practice of harness engineering: shaping the context, tools, constraints, and feedback around an AI agent so it can complete work reliably. He helped build an internal product under a prohibition on…
…concerns the whole system. Proteins interact in a biological context, and a prediction of a shape is distinct from a model of dynamics, function or a designed intervention. He argues for connecting molecular models to larger systems while…
…learning, AI, big data, and cloud computing. That work provides context for his later attention to both AI platforms and the obstacles customers face in adopting them. Charrington holds a B.S. in Computer and Systems Engineering from…
…stalled items. Julien recounts an agent identifying a shared engineering-bandwidth dependency between infrastructure and API-key migrations, allowing him to adjust their sequencing. He still edited reports for organizational context,…
…exploring human–AI collaboration through reasoning, memory and context awareness. He is also one of the creators of Writely, which became Google Docs following Google's acquisition. Schillace joined Microsoft in 2021, saying he saw it…
…author of The Prompt Report: A Systematic Survey of Prompt Engineering Techniques, first submitted on June 6, 2024. In his September 2024 interview, he said he led a 30-person research team over about nine months. The February 2025 revision…
…on large-scale experimentation for ML research and engineering. The founders planned to use their own systems as their first customers, gaining rapid feedback from that work. Ghemawat’s earlier work at Google provides context for the…
…while crediting Morcos, Leavitt, and Gaza with the research and engineering needed to build the company. Her relationship with Modal co-founder Erik Bernhardsson developed through technical discussion before an investment. The February 2022…
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A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
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