The wiki

Developer and product leader working on OpenAI’s developer experience and SDKs, with contributions to TypeScript agents, gpt-oss integration, and AI coding workflows.

President of SemiAnalysis and semiconductor investment writer whose AI analysis emphasizes agent workflows and the continued role of expert judgment.

Shared tools, coordinated agents, inspectable code, and the product judgment behind personal software.

Dropbox co-founder whose personal AI experiments informed a shift toward search and organizing cloud content, alongside consequential staffing and platform decisions.

From cloud file syncing to AI search, organization, and content governance across workplace tools.

Machine learning researcher and coauthor of the variational autoencoder, Adam optimizer, Glow, and Variational Diffusion Models.

Useful workplace agents depend on bounded instructions, carefully prepared company data, and a product employees can shape around their own work.

An enterprise AI platform that evolved from developer tooling into custom agents and shared workspaces for human-agent collaboration.

AI practitioner and writer whose work combines hands-on business automation, specialized GPT workflows, and explanations of AI-assisted software security.

Figma co-founder whose AI strategy emphasizes design judgment, visual exploration, and connections between design and code.

SemiAnalysis founder Dylan Patel connects chips, software and supply chains to the practical economics of building and serving AI.

A robotics company combining human-video pretraining, robot demonstrations and its own physical platform.

Poolside cofounder whose work combines code-model research, engineering systems for rapid experimentation, and advocacy for open weights and research.

Materials scientist and Periodic Labs co-founder combining crystal prediction, synthesis and experimental characterization.

Technology entrepreneur and investor involved in AI financing, company incubation, and public discussions of how AI products create value.

An open-science research community whose work spans public training datasets, language models, controlled studies of learning, and evaluation tools.

An AI audio company that expanded from speech synthesis and a dubbing idea into expressive voice models, music generation, production tools and conversational agents.

Elicit builds AI tools for scientific evidence synthesis, developing from a literature-review assistant into structured reviews, research agents, and evidence-backed decision support.

From oversight experiments to reusable notebooks, Elicit builds research workflows whose steps can be trained, checked, and scaled.

An open language-model researcher whose SmolLM work connects small-model training, reasoning and practical reuse of intermediate checkpoints.

xAI cofounder and historical OpenAI co-chair whose Tesla autonomy plan paired fleet learning with a public argument about deployment and validation.

Neo4j co-founder and CEO advocating graphs, shared ontologies, and persistent context for AI systems.

Economist and data science leader whose work at Stripe spans payments foundation models, agentic commerce, and the practical decisions behind AI adoption.

Anthropic interpretability researcher and machine learning author who builds tools for tracing model computation and testing internal mechanisms.

Chatbots for adult creators must coordinate persona, sales, memory, and boundaries. Convincing language is only one part of the system.

Factory co-founder whose work centers on coding-agent harnesses, automated software validation, and organization-wide autonomy.

Glean’s workplace search problem opens a broader discussion of ranking, tool use, model costs, and knowing which work to automate.

Creator of SudoLang, author of Composing Software, and advocate for structured pseudocode in AI-driven development.

StackBlitz founder and Bolt co-founder focused on AI app building, enterprise context, and security within the development workflow.

Toko co-founder and CTO, building AI conversation practice for language learners, with earlier work in algorithmic accountability and fairness.