The Latent Space wiki

People

The builders, researchers, and voices behind the work.

501 entriesPage 9 of 17
Person

Joseph Nelson

Roboflow’s cofounder and CEO builds tools that connect computer vision models to useful applications, from correcting training labels to deploying systems that act on camera feeds.

2 archive posts1 connection
Person

Josephine Teo

Singapore’s digital development minister, whose AI policy work spans workforce training, practical assurance and public-sector adoption.

2 archive posts
Person

Josh Albrecht

Imbue co-founder and CTO whose work spans cost-aware model training, infrastructure reliability, and public views on coding agents and uncertainty.

4 archive posts1 connection
Person

Josh McGrath

AI researcher whose documented work spans post-training at OpenAI and data-centric error analysis.

3 archive posts
Person

Joshua Lochner

Creator of Transformers.js, bringing pretrained machine-learning models into browsers and JavaScript applications.

1 archive post
Person

Joubin Mirzadegan

Sales and portfolio operator who cofounded Roadrunner to rebuild enterprise quoting around modern pricing and AI-assisted deal workflows.

1 archive post
Person

Jungwon Byun

Elicit cofounder and COO whose work centers on structured AI research workflows, human evaluation, and rapid product iteration.

2 archive posts1 connection
Person

Junyang Lin

AI researcher whose work spans Qwen, multimodal pretraining, and the training systems behind tool-using agents.

Person

Justin Johnson

Computer-vision researcher and World Labs cofounder whose collaborative work includes dense image captioning and perceptual losses for fast image transformation.

1 archive post3 connections
Person

Justine Moore

AI investor at Andreessen Horowitz whose public work explores creative workflows, personal AI companions, and software creation for consumers.

2 archive posts
Person

Kabir Goel

Product engineering leader at Cartesia whose work spans real-time AI audio delivery, coding-agent infrastructure, and interfaces for crafting text with LLMs.

Person

Kamil Sindi

Runway chief technology officer working on the infrastructure and evaluation of real-time generative world models.

1 archive post1 connection
Person

Kanjun Qiu

Imbue’s CEO and co-founder connects dependable AI agents with a broader ambition: software that people can understand, modify and control.

1 archive post4 connections
Person

Karan Malhotra

Nous Research co-founder whose work includes the original Hermes collaboration and WorldSim’s experiments with language-model-generated environments.

1 archive post
Person

Karan Vaidya

Composio co-founder and CTO working on how AI agents discover, execute and improve tools, with an emphasis on reusable skills and human control.

Person

Karina Nguyen

AI researcher working across post-training, model evaluation and the design of human–AI collaboration, including ChatGPT Canvas and PostTrainBench.

1 archive post
Person

Kasra Kyanzadeh

Builder of Lightpage and Feedpaper, and an advocate for evaluating LLM applications through complete pipeline replays.

Person

Kevin Hou

An engineer and product leader whose work on Windsurf and Google Antigravity centers on agents that can follow, continue, and verify software engineering work.

Person

Kevin Lin

AI researcher at Letta and coauthor of sleep-time compute and MemGPT, two approaches to using persistent context in language-model systems.

Person

Kevin Wang

First author of a NeurIPS 2025 Best Paper on scaling self-supervised reinforcement learning to thousand-layer networks; identified by Delta Podcast in May 2026 as an OpenAI researcher working on RL and reasoning.

1 archive post
Person

Kevin Weil

Former OpenAI Chief Product Officer and science leader whose work included starting OpenAI for Science and leading the scientific workspace Prism.

1 archive post
Person

Koray

Google DeepMind leader and Google Chief AI Architect whose collaborative research includes Atari deep reinforcement learning and WaveNet.

1 archive post
Person

Kwindla Hultman Kramer

Daily cofounder and CEO working on Pipecat, voice-agent evaluation, and the infrastructure for real-time AI conversations.

1 archive post
Person

Kyle Corbitt

OpenPipe co-founder whose work spans model customization, reinforcement learning for agents, and Y Combinator’s Startup School.

1 archive post
Person

Kyle Daigle

GitHub executive and former platform engineering leader whose work spans internal AI adoption, developer tools and the social trust surrounding agent-generated code.

1 archive post1 connection
Person

Kyle Kranen

NVIDIA engineer and Dynamo architect working on distributed inference, model performance, and the systems behind agent workflows.

1 archive post
Person

Kyle Kukshtel

Game developer and toolmaker whose AI work spans visual exploration interfaces, production coding experiments, and arguments about the future of games and software.

1 archive post
Person

Lance Martin

AI engineer and technical writer whose work examines agent context management and how application designs should change as models improve.

3 archive posts
Person

Laurie Voss

Developer, npm Inc. cofounder and writer on AI application design, evaluation and the changing work of software engineers.

Person

Leo Tronchon

Coauthor of OBELICS and the Idefics vision-language models, with research focused on open multimodal data and experimentally justified model design.

1 archive post

Public beta. Model source and teaching reviews passed; human editorial review is pending. Original articles and recordings remain separate.

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