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← Prometheans 100+ Kanjun Qiu

Imbue CEO, building AI reasoning agents

Kanjun Qiu

CEO & Co-Founder — Imbue General Partner — Outset Capital Co-Founder & CEO — Sourceress Chief of Staff — Dropbox
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Profile

Kanjun Qiu is the co-founder and CEO of Imbue, a San Francisco AI research lab betting that the missing ingredient in today’s models isn’t scale — it’s reasoning. Where most of the frontier labs chase larger context windows and higher benchmark scores, Qiu has staked Imbue on agents that can genuinely reason about code and act on your behalf: systems that know when to ask a clarifying question, revise a wrong conclusion, break a problem into steps, and admit uncertainty instead of confidently hallucinating. For developers watching the “AI agent” hype cycle repeatedly over-promise, her framing is refreshingly honest — she titled one of her best-known interviews “Why AI Agents Don’t Work (Yet).”

Her path to running an AI lab is unusual. Qiu studied computer science at MIT and did research at the MIT Media Lab, funding her degree by writing high-frequency trading algorithms. She was the first Chief of Staff at Dropbox, joining as it scaled from roughly 200 to 1,200 people — a front-row seat to how organizations grow, coordinate, and lose institutional knowledge, themes that recur constantly in how she thinks about intelligence. She then co-founded Sourceress, a machine-learning recruiting startup, before launching what became Imbue (originally “Generally Intelligent,” founded in 2021 with CTO Josh Albrecht) and rebranding it in 2023 to reflect a mission of imbuing computers with intelligence and human values.

What makes Imbue worth a developer’s attention isn’t just the philosophy — it’s that the lab actually ships infrastructure. In 2024 Imbue trained a 70-billion-parameter reasoning model from scratch on 4,032 H100 GPUs and, crucially, open-sourced the tooling: CARBS, a cost-aware hyperparameter optimizer that lets small experiments predict large-model behavior, plus cleaned evaluation datasets, a new code-reasoning benchmark, and 450,000 human judgments about question quality. The lab announced a $200M Series B at a $1B+ valuation, led by the Astera Institute with Nvidia, Eric Schmidt, and others — remarkable for a team that was around 20 people. Beyond Imbue, Qiu is a general partner at Outset Capital, backing early-stage founders.

For someone learning AI today, Qiu is a useful counterweight to the “bigger model solves everything” orthodoxy. She argues for human-centered AI — tools that amplify human agency rather than replace it — and she backs that argument with released code rather than manifestos. Whether the reasoning-first bet pays off is still an open question, but the open-source contributions alone have made Imbue’s research genuinely useful to anyone training or evaluating large models.

Books

📖
Sew Electric
a collection of DIY projects that combine fabric, electronics, and programming
2013 ↻
A collection of hands-on LilyPad Arduino projects that teach programming, electronics, and craft together — co-authored with Leah Buechley and Sonja de Boer to bring computer science to middle and high school students.
📖

Sew Electric

a collection of DIY projects that combine fabric, electronics, and programming

Leah Buechley — 2013

Publisher
HLT Press
Pages
185
ISBN
9780989795609
Published
2013
More → Amazon

Key Articles & Papers

Training a 70B model from scratch: open-source tools, evaluation datasets, and learnings 2024 — Imbue's flagship technical report on building a reasoning-focused 70B base model on 4,032 H100s — a practical, unusually candid guide to large-scale training. Open-sourcing CARBS: our cost-aware hyperparameter optimizer 2024 — How Imbue scaled small experiments to a 70B model — directly useful tooling for anyone tuning large training runs. Sanitized open-source datasets for evaluating our 70B model 2024 — Cleaned versions of 11 popular reasoning benchmarks plus a new code-comprehension benchmark and 450K human quality judgments. Why AI Agents Don't Work (yet) — with Kanjun Qiu of Imbue 2023 — A widely-read Latent Space conversation laying out the reasoning-first thesis and the real limits of current agents.

Videos

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Spotify Podcasts

What it takes to trust AI | Kanjun Qiu
What it takes to trust AI | Kanjun Qiu
Possible
2026
The future of AI is human-centered, with Kanjun Qiu
The future of AI is human-centered, with Kanjun Qiu
Pioneers of AI
2025
Imbue CEO Kanjun Qiu on Transforming AI Agents Into Personal Collaborators - Ep. 239
Imbue CEO Kanjun Qiu on Transforming AI Agents Into Personal Collaborators - Ep. 239
NVIDIA AI Podcast
2024
Kanjun Qiu, Imbue, & Agency in the Age of AI
Kanjun Qiu, Imbue, & Agency in the Age of AI
Minus One
2024
Reinventing AI Agents with Imbue CEO Kanjun Qiu
Reinventing AI Agents with Imbue CEO Kanjun Qiu
Gradient Dissent: Conversations on AI
2024
AI Agents That Reason and Code with Imbue Co-Founders Kanjun Qiu and Josh Albrecht
AI Agents That Reason and Code with Imbue Co-Founders Kanjun Qiu and Josh Albrecht
No Priors: Artificial Intelligence | Technology | Startups
2023
Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
Latent Space: The AI Engineer Podcast
2023
Imbue: AI Agents That Can Reason with CEO Kanjun Qiu
Imbue: AI Agents That Can Reason with CEO Kanjun Qiu
The MAD Podcast with Matt Turck
2023
Kanjun Qiu: AI, metascience, institutional knowledge, trauma models, structure of knowledge, creativity and dance
Kanjun Qiu: AI, metascience, institutional knowledge, trauma models, structure of knowledge, creativity and dance
Ben Yeoh Chats
2023
Kanjun Qiu and Josh Albrecht: Generally Intelligent
Kanjun Qiu and Josh Albrecht: Generally Intelligent
The Gradient: Perspectives on AI
2022

YouTube

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2026
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2024
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2023
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