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Anthropic interpretability researcher and machine learning author who builds tools for tracing model computation and testing internal mechanisms.
Factory co-founder whose work centers on coding-agent harnesses, automated software validation, and organization-wide autonomy.
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.
Modal’s co-founder and CEO works on making cloud computation easier to develop and scale. His earlier contributions include Spotify recommendation infrastructure, the similarity-search library Annoy, and the batch workflow engine Luigi.
Engineer and former robotics CTO whose Anthropic work combined minimal agent scaffolding with carefully designed tools, and whose public views emphasize reliability and auditable results.
AI engineer whose work spans NVIDIA Cosmos, Grok Imagine and mixture-of-experts language models, with a focus on interactive video and the language systems behind it.
Featherless AI cofounder and CEO, RWKV research collaborator, and advocate for affordable, multilingual open-model inference.
Applied AI scientist and writer working on reliable LLM systems, evaluation, and recommendations.
San Francisco Compute cofounder focused on making GPU capacity tradable and reducing the risks of long compute commitments.
Genesis co-founder and molecular machine-learning researcher whose work spans learned molecular representations and the accuracy needed for AI-assisted drug discovery.
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