People

Machine-learning researcher whose joint work spans variational autoencoders, symmetry-aware networks and graph convolutions, and whose materials-discovery work emphasizes practical impact and gradual automation.

AI engineer and educator associated with a PDF-chatbot project and coauthor of Learning LangChain with Nuno Campos.

OpenAI research leader whose work spans human feedback, coding-agent evaluation and alignment, with an expanded safety role reported in July 2026.

Artificial Analysis cofounder whose work connects independent AI evaluation with the practical trade-offs of building applications.

Co-founder of Markprompt, whose work combines documentation retrieval, configurable AI behavior, and an interest in interfaces beyond chat.

Co-founder of Phind and founder of Standard Signal, working on AI search, programming assistance and autonomous trading.

Cursor co-founder whose public work explains the shift from AI autocomplete to delegating software development to autonomous agents.

OpenAI API tech lead in 2024 and co-lead of Structured Outputs, combining model training with engineering constraints to make model responses usable in software.

Developer of Marble, an AI tutor for LeetCode, and presenter of OpenCode, a programming tutor centered on critical thinking.

AI researcher and entrepreneur whose work includes Databricks’ Dolly models, AI-assisted financial research and studies of social and economic networks.

Instagram’s co-founder and former CTO moved from leading Anthropic’s product organization into experimental AI products, with a focus on increasingly delegated agent work and its human bottlenecks.

Suno co-founder and CEO whose work combines generative audio models with a focus on making music creation accessible to more people.

Technology executive whose work spans Microsoft AI, Yandex and Shopify, with public views on agent critique, automated experimentation and customer simulation.

AI researcher and technology leader whose work spans semantic video indexing, urban mobility analytics, customer support and applied AI in financial services.

Lighthouse founder whose work spans immigration automation, AI-focused investing, and public writing about technology and human agency.

Reflection co-founder and CEO whose collaborative reinforcement-learning research spans visual control, in-context learning, and language-model reward modeling.

Positron AI’s CEO, formerly Lambda’s COO, advocates specialized inference hardware and simpler access to AI infrastructure.

Machine-learning researcher whose work spans benchmark reliability, algorithmic fairness, and predictions that change the outcomes they forecast.

Software engineer and Gemini Deep Research tech lead in 2025, whose work helped turn web research into reports and whose public interests included personalized learning and multimodal research agents.

Worked on Goodfire’s founding team, connecting mechanistic interpretability research to model customization, production guardrails, and interfaces for controlling AI systems.

Software engineer, author and educator whose work includes React Native AI and developer education around coding agents at Cognition.

Brev co-founder focused on easier GPU access, developer experience at NVIDIA, and tools that agents can use.

Former GitHub CEO whose AI work spans Copilot’s launch, browser agents, startup funding and the Vesuvius Challenge.

Sierra agent engineering founder whose work combines customer systems integration, reliable AI orchestration, and customer-facing engineering.

Researcher and Interconnects author focused on open language models, post-training recipes, and the reward signals that shape AI assistants.

Zed’s CEO and co-founder advocates AI-assisted software craftsmanship, interchangeable coding agents, and collaboration that keeps conversations connected to code.

Chai Discovery product leader working on AI tools for medicine design, with earlier experience in security automation, product management, and robotics.

Machine-learning security researcher whose work tests model robustness, training-data privacy, and the security of production language-model APIs.

OpenAI Apps SDK contributor who helped shape MCP Apps and argues for model-facing tools designed around user intent.

Google DeepMind image-product leader associated with Nano Banana and Whisk, whose public views emphasize iteration and cultivated creative judgment.