The wiki

Cross-border investor whose public work on financial AI centers on traceable evidence, consistent numbers and accountable investment decisions.

Weights & Biases cofounder and former CTO, now leading AI software-platform efforts at CoreWeave.

OpenAI API engineering leader whose public work spans function calling, agent evaluation, developer platforms and reliability.

Durable workflows, streaming interfaces, operational context, and external security controls turn an agent loop into a usable application.

A commerce platform extending its merchant tools into AI assistance, automated experimentation, simulated shopping and agent-driven commerce.

Shared experiments, deliberate code review, simulated shoppers and specialized models show what it takes to turn abundant generation into useful work.

Product leader whose work spans Gemini developer tools, search grounding and real-time applications; identified at Google Cloud Next 2026 as Gemini Enterprise’s quality lead.

Creator of Guardrails and co-founder of Guardrails AI, Shreya Rajpal develops ways to specify, validate and test language-model behavior in real applications.

Computer science researcher working on data management for AI systems, document-processing pipelines, and evaluation aligned with human judgment.

Language-agent researcher whose work connects reasoning, interaction, interface design and reliable evaluation.

Oleve co-founder whose work spans shared AI infrastructure, agents for consumer-app operations, and production feedback for learning tools.

An AI company building simulations of human behavior for product testing and business decisions, with roots in generative-agent research.

Co-founder of turbopuffer, whose search architecture grew from the cost of AI retrieval at Readwise and years of infrastructure work at Shopify.

Notion cofounder whose AI work spans early prototypes, repeated agent redesigns, and tools for evaluating and supervising automated work.

Creator of Datasette and LLM, Django co-creator, and a writer on language-model tools, prompt injection and AI-assisted software development.

Part 3 of 3 examines why simulated materials data can miss experimental needs, how training accommodates laboratory timescales, and why better GPU utilization could free money for lab work.

Human simulation combines personal histories, observed choices, and controlled experiments to model how people respond—and help decision makers explore what to do next.

Salesforce’s workplace messaging platform has expanded from channels and search into generative summaries, personal AI assistance, and a shared interface for third-party agents.

A Zurich podcast-app company using AI to capture, retrieve, and guide listeners through spoken knowledge.

SoftBank Group’s AI activities span OpenAI investment, infrastructure financing, enterprise agents and semiconductor ownership, alongside edge-AI development by SoftBank Corp.

Foundation models let developers begin with trained capabilities, then build the data connections, infrastructure and interfaces that make them useful. A 2023 view of the engineering role emerging around that change.

Composio cofounder focused on how AI agents authenticate, use software tools, and improve their interactions with external systems.

Docker’s creator, whose work at Dagger applies containerized execution to coding agents and software delivery.

AI developer relations leader and educator whose work includes building Mistral’s developer community, Mixtral coauthorship, and teaching practical uses of language models.

PyTorch co-founder, AI infrastructure engineer, and robotics researcher whose work emphasizes accessible tools, user feedback, and practical applications.

SpaceX expanded into AI models, coding agents and compute services in 2026, alongside its established spacecraft and launch-vehicle work.

The AI organization following SpaceX’s acquisition of xAI, developing Grok models and agents alongside the Colossus compute infrastructure.

The organization behind Grok combines model development, persistent work agents and Colossus compute infrastructure, following SpaceX’s acquisition of xAI in February 2026.

An AI language-learning company built around spoken practice, combining its own teaching systems with speech recognition and conversational models.

Fast speaking drills, adaptive curricula, and patient turn detection show what it takes to turn capable models into a language tutor.