People

Axiom founder and CEO whose technical vision connects mathematical discovery, informal intuition and machine-verifiable proofs.

Adobe scientist exploring intent-driven websites and AI-assisted deployment recovery, with a background in open-source software automation.

Claude Code product leader whose work centers on rapid experimentation, minimal scaffolding, and developer control as model capabilities improve.

Together AI co-founder and machine learning systems researcher whose work spans data quality, distributed infrastructure and efficient model architectures.

Engineer working on clinical decision support at Abridge, with earlier experience in enterprise search at Glean and robotics and AI research at Vicarious AI.

Letta co-founder and AI researcher whose collaborative work includes MemGPT’s memory management and sleep-time compute.

AI researcher whose collaborative work examines how language models use computation, acquire capabilities, and learn to complete user-specified tasks.

Stanford professor and Physical Intelligence cofounder working on robot learning, fast adaptation, and reliable general-purpose robots.

Writer and computer scientist focused on bringing AI into production, from machine learning systems design to foundation-model applications and agent evaluation.

Compiler and language engineer whose work on MLIR, TensorFlow infrastructure, and Modular connects AI programming with heterogeneous hardware.

Stanford NLP researcher whose work spans statistical language processing, neural models, preference optimization, and action-conditioned world models.

Stanford computer scientist whose collaborative work spans weak supervision, memory-efficient attention and GPU kernels, with recent arguments about how AI agents change systems programming.

AI researcher whose collaborative work spans adversarial examples, Inception and Batch Normalization, and whose later research advocates machine-verifiable reasoning.

OpenAI Platform Experience contributor who demonstrated AgentKit and explained its customer-informed approach to building, evaluating and deploying AI agents in 2025.

Xaira Therapeutics’ Chief Discovery Officer leads the experimental biology and data generation behind its AI-driven discovery work.

AI researcher whose work at Hugging Face spans reproducible model evaluation, assistant benchmarks, and practical guidance on what benchmark results mean.

AI/ML engineer and consultant who created OpenInspect, an open-source system for shared background coding agents, and advocates company control over agent infrastructure.

The pseudonymous creator of ComfyUI, whose experiments with diffusion models led to a node-based interface and a focus on local execution.

AI and computational neuroscience researcher whose collaborative work examines learning and forgetting, efficient local–cloud inference, and models that learn from experience.

Machine learning and systems researcher working on hardware-aware GPU kernels and efficient model architectures.

Machine learning researcher and rekursiv.ai co-founder whose work spans autoregressive video generation, efficient video recognition and multilingual parsing.

Prediction Guard founder and CEO, Practical AI co-host, and practitioner of low-resource NLP and distributed machine-learning research.

AI researcher at Noetik whose work spans self-supervised visual models and neuroscience.

Cognitive scientist working on human–agent collaboration, interaction training data, and evaluation of AI’s effects on human thinking.

Anthropic CEO whose collaborative research spans AI safety, learning from human preferences, and language-model scaling, and whose public writing addresses powerful AI’s benefits, risks, and governance.

Arize AI’s Head of Agent Strategy, whose technical writing addresses prompt lifecycle management and practical evaluation of retrieval-augmented applications.

Creator of Claude Plays Pokémon, with a background in machine learning infrastructure and public views on prompting, fine-tuning, and agent reliability.

Retool’s founder and CEO on AI-enabled internal software, developer control, and governance beneath generated code.

AI research and engineering leader who co-founded Adept, advocated reliable computer-use agents, and led Amazon’s AGI SF Lab at its December 2024 launch.

Dreamer cofounder and former Stripe CTO whose work spans consumer AI agents, developer infrastructure and Android Wear.