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David Luan

David Luan is an artificial-intelligence entrepreneur who was selected for the first Thiel FellowshipThiel FellowshipThe Thiel Fellowship is a two-year grant program started by investor Peter Thiel and run by the Thiel Foundation that funds young people who skip or stop out of college to build new things instead. The program has been criticized by figures in education for encouraging young people to leave college.Open the full entry class in 2011; he served as VP Engineering at OpenAIOpenAIOpenAI is an artificial intelligence research and product organization founded in 2015 that develops the GPT model series, ChatGPT, Codex and a developer API, and conducts research on image, speech, video and intelligent agents. After its 2025 restructuring, the nonprofit OpenAI Foundation continues to control the for-profit OpenAI Group PBC. Its growth has involved large-scale fundraising and compute partnerships, and has also been accompanied by controversies over governance, copyright, privacy and AI safety.Open the full entry, co-founded Adept and served as its CEO, and from 2024 to 2026 worked at AmazonAmazonAmazon is a publicly traded U.S. technology and retail company founded by Jeff Bezos in 1994, with its principal corporate offices in Seattle. Its businesses span e-commerce, logistics and fulfillment, digital advertising, membership and entertainment services, consumer electronics, and Amazon Web Services cloud computing.Open the full entry, where he led its San Francisco AGI Lab.

Contents22 sections
Key facts

Selected as a Thiel Fellow

Digital Trends’ profile of the fellows the same day wrote that a lifelong passion for robots drove his wish to reinvent the consumer robotics industry, with the aim of putting robots into homes to do chores and tasks of various types and skill levels.⁠[2]

Years later he said on the Latent Space podcast: “I’m personally fascinated by robotics. I’ve always loved robotics.”⁠[3]

Co-Founding the Robotics Company Dextro with Darren Zhu

The article states that the two later abandoned the project: the high cost of the system’s infrastructure limited the market to large biotech companies, and many potential customers planned to cut their research and development spending.⁠[4]

Founding the Computer-Vision Company Dextro with Sanchit Arora

AlleyWatch wrote in 2017 that Dextro was founded in 2013 by Sanchit Arora and Luan, who served as co-founder and CEO; TASER International’s February 2017 press release, for its part, describes Dextro’s history up to the acquisition as “the two years since their founding.”⁠[5][6]

Xconomy writes that the idea took shape while he was living in San Francisco, where he saw more and more cameras being built into robots and connected devices. He and Sanchit Arora had both studied computer vision for robotics; the two first built a simple API that let connected devices do “smart things” with what they saw, and in his words “hacked together a primitive version” to see what people wanted. Developers and large companies then approached them about using it for social-media analytics and content categorization, which led to a more robust effort. “We spent a lot of time building our technology,” he said.⁠[7]

In a 2015 AlleyWatch interview he said that Dextro was started when they realized that perception, a robot’s ability to make sense of complex human scenes through its cameras, was one of the largest problems facing widespread robotics adoption; after early prototypes drew attention, they found the system could generalize to video-understanding problems in many markets. He said half of Dextro’s team had a robotics background, from MIT, iRobot, the GRASP Lab, SRI and elsewhere; the company was based in SoHo, New York City, and chose New York because it could assemble a team of machine-learning PhDs and master’s graduates there.⁠[8]

Dextro’s Video-Understanding Platform and Funding

AlleyWatch introduced him in 2015 as the “Founder and CEO of Dextro.” He said Dextro made video “searchable, discoverable, and understandable by machines,” and that its “Sight Sound and Motion” platform analyzed the visuals, audio and motion in a video rather than relying on text tags; the company had completed its first financing with New York investors and was growing both its engineering and business teams.⁠[8]

Xconomy writes that Dextro launched a tool for discovering publicly shared Periscope live streams, which at the time covered only Periscope content; the company had raised $1.7 million from angel investors including Esther Dyson and the co-founders of Medidata and Skype, from the venture firms RRE Ventures and Two Sigma Ventures, and from Yale University.⁠[7]

AlleyWatch wrote in 2017 that Dextro’s seed round totaled $1.71 million from YEI Innovation Fund, Connecticut Innovations, Two Sigma Ventures, RRE Ventures and KBS Ventures, with individual investors including Esther Dyson, Jaan Tallinn and Semil Shah; the article calls Dextro the first deep-learning company to analyze livestreams in real time.⁠[5]

Dextro Acquired by TASER for Axon AI

On February 9, 2017, TASER International announced two acquisitions to create an artificial-intelligence division, Axon AI; one of them was Dextro, the other a computer-vision team that Fossil Group had obtained through its acquisition of Misfit. The press release states that Dextro makes videos discoverable and searchable using machine learning and calls its system the first computer-vision and deep-learning system to make the visual contents of video searchable in real time; the two acquisitions brought a team of nearly 20 researchers and engineers. The release refers to him as “Dextro co-founder and CEO.”⁠[6]

In the release he said: “Dextro has built a highly advanced video analytics technology driven by machine learning,” and that in combination with Axon “we create an incredibly powerful AI solution tailored to the unique requirements of public safety.”⁠[6]

In its interview after the acquisition, AlleyWatch wrote that the terms were not disclosed and that TASER was building its Axon AI division on Dextro’s technology. He said: “We’ve known TASER CEO Rick Smith and the Axon team for a long time,” and “The acquisition is a natural fit for both companies.” His advice to New York founders was: “Focus relentlessly on building products your end customers want.”⁠[5]

Introducing him at the start of a Latent Space episode, the host swyx said that he had started a company in college and that this was his route to being acquired into Axon, where he was a “director of AI.”⁠[3]

Vice President of Engineering at OpenAI

The Masters of Scale biography states that from 2017 to 2020 he was VP Engineering at OpenAI, overseeing teams in research, language, supercomputing, reinforcement learning, safety and policy, and helping ship GPT, CLIP and DALL-E; the 20VC episode page likewise says that at OpenAI he oversaw research on language, supercomputing, reinforcement learning, safety and policy, and that his teams shipped GPT, CLIP and DALL-E.⁠[9][10]

In the same episode he recalled that OpenAI’s Dota effort was going hard at the time; that he spent a good deal of time sprinting to help get the GPT-2 paper out; that every day while GPT-3 was being scaled up he would wake up stressed; and that the supercomputing team run by Chris Berner was one of his teams. His post introducing Adept states that his team at OpenAI scaled the Transformer into GPT-2 and GPT-3, and Tech Brew writes that at OpenAI he helped ship models including GPT-2, GPT-3 and DALL-E.⁠[3][3][3][3][11][12]

Leading Large-Model Work at Google

On Latent Space he said that after OpenAI he led GoogleGoogleGoogle is an American technology company founded by Larry Page and Sergey Brin and incorporated in 1998. It became an Alphabet subsidiary in 2015. Its businesses include internet search, advertising, software platforms, cloud computing, and artificial intelligence.Open the full entry’s large-language-model efforts while also co-leading Google BrainGoogle BrainGoogle Brain was Google’s AI research team, co-founded by Jeff Dean and others in 2011. It open-sourced the TensorFlow machine learning system in 2015 and was merged with DeepMind into Google DeepMind in April 2023.Open the full entry as one of its leads, speaking of “my year where I led the Google LM effort.” The post introducing Adept states that he led Google’s giant model efforts; 20VC describes him as a co-lead of Google Brain; AI Business called him a Google research director in 2022, and GeekWire in 2025 likewise described him as a former Google Research director.⁠[3][3][11][10][13][14]

Tech Brew writes that most of Adept’s founders left Google around the end of 2021.⁠[12]

Co-Founding Adept

On Latent Space he said “we started the company in January 2022.” Tech Brew writes that Adept had been in operation since that January and that its founding team included seven Google Brain alumni; he was CEO, Ashish Vaswani chief scientist and Niki Parmar CTO. Adept’s introductory post states that its co-founders Ashish Vaswani and Niki Parmar invented the Transformer in 2017.⁠[3][12][11]

AI Business writes that Adept had nine founding members: Luan as CEO; Kelsey Schroeder, who had led product for Google machine learning; Erich Elsen, a GPU computing pioneer who co-led DeepMindGoogle DeepMindGoogle DeepMind is Google’s artificial intelligence research organization, formed in April 2023 by merging DeepMind, which Google acquired in 2014, with the Brain team from Google Research, and led by CEO Demis Hassabis. It developed AlphaGo, AlphaFold, and the Gemini family of models, and Hassabis and John Jumper received the 2024 Nobel Prize in Chemistry for AlphaFold’s protein structure prediction work.Open the full entry’s large-model scaling effort; the Google Brain research scientists Niki Parmar and Ashish Vaswani as CTO and chief scientist; Anmol Gulati, who built Google’s production speech-recognition model; the former Google software engineer Fred Bertsch; and Augustus Odena and Max Nye, who built Google’s code-generation model.⁠[13][11]

Adept Launches Publicly with $65 Million in Funding

On April 26, 2022, he published “Introducing Adept” on Adept’s website, describing Adept as a machine-learning research and product lab “building general intelligence by enabling people and computers to work together creatively.” The post states that Adept was training a neural network to use “every software tool and API in the world” as a universal collaborator for knowledge workers, working alongside people inside existing software such as Airtable, Photoshop and Tableau, and argues that this interface-based approach is the most practical and safest path to general intelligence.⁠[11]

The post announced that Adept had raised $65 million from Saam Motamedi and Reid HoffmanReid HoffmanReid Hoffman is an American entrepreneur, venture investor, author and podcast host, co-founder of LinkedIn, Inflection AI and Manas AI, and a partner at Greylock. A former PayPal executive, he has built and backed businesses in professional networking, artificial intelligence and drug discovery. His co-authored books include The Startup of You and Blitzscaling.Open the full entry at Greylock, Lee Fixel at Addition, Root Ventures, and angel investors including Scott BelskyScott BelskyScott Belsky is an American entrepreneur, author and early-stage investor who co-founded the creative portfolio platform Behance; after Adobe acquired it in 2012 he served as Adobe’s chief product officer and chief strategy officer. Since 2025 he has been a partner at the independent film studio A24 and founder of A24 Labs, and since September 2026 also a Product Advisory Partner at Union Square Ventures (USV).Open the full entry, Howie Liu, Dara Khosrowshahi, Chris Re, Lip-Bu TanLip-Bu TanLip-Bu Tan is a Malaysia-born entrepreneur and venture capitalist who founded Walden International in 1987, served as chief executive officer of Cadence Design Systems from 2009 to 2021, and has been chief executive officer of Intel since March 2025.Open the full entry, Andrej KarpathyAndrej KarpathyAndrej Karpathy is an AI researcher and educator, one of the founding members of OpenAI, who served as Tesla’s Director of AI and led the Autopilot computer vision team from 2017 to 2022, founded the AI education company Eureka Labs in 2024, and joined Anthropic in 2026 to work on pre-training research; at Stanford he designed and taught the university’s first deep learning course, CS231n, and he coined the term “vibe coding.”Open the full entry, Nathan Benaich, David Ha, Jaan Tallinn, Sarah Meyohas and Kevin Kwok; Tech Brew calls the round a Series A.⁠[11][12]

Tech Brew writes that Adept set out to create an AI assistant for the layperson that would carry out tasks through hundreds of software tools such as Photoshop, Airtable and Twilio, and that it hoped to release initial demos and sign its first customers within a year; the article paraphrases his view that Adept’s product would differ from robotic process automation (RPA).⁠[12]

ACT-1, Followed by the Persimmon and Fuyu Models

Adept’s blog lists “ACT-1: Transformer for Actions,” published on September 14, 2022. On Latent Space he recalled releasing the ACT-1 demo and said that Adept later pushed hard on work such as the Fuyu architecture; the episode page lists models Adept released, including Persimmon-8B, Fuyu-8B and Fuyu Heavy.⁠[15][3][3][3]

Adept’s $350 Million Series B

20VC Interview

On June 23, 2024, 20VC published an interview with him, introducing him as co-founder and CEO of Adept, a company building AI agents for knowledge workers. The episode title lists its topics: why foundation-model performance is not diminishing but the models are commoditising, why NVIDIA will enter the model space and models will enter the chip space, and the right business model for AI software.⁠[10]

Joining Amazon in the Adept Deal

On June 28, 2024, CNBC wrote that Amazon had hired him and other members of Adept’s team for its AGI team; he would lead an “AGI Autonomy” division and report to Rohit PrasadRohit PrasadRohit Prasad is an artificial intelligence executive who led work on Alexa and artificial general intelligence at Amazon and oversaw development of the Amazon Nova foundation model family; he has been chief executive officer of the robotics company Boston Dynamics since October 2026.Open the full entry, senior vice president and head scientist of Amazon’s AGI unit. In an internal memo whose contents Amazon confirmed, Rohit Prasad wrote that the company had hired him and “a few other deeply talented team members to our AGI team,” and that the deal “will accelerate our roadmap for building digital agents that can automate software workflows.” Amazon licensed Adept’s technology, multimodal models and some datasets on a non-exclusive basis.⁠[17]

Adept wrote the same day that its co-founders and some of its team were joining Amazon’s AGI organization and that Amazon was licensing Adept’s agent technology, multimodal models and a few datasets; Zach Brock, the head of engineering, took over as CEO, and Tim Weingarten remained head of product. CNBC wrote that Adept said building its own models would have required more capital, that the arrangement with Amazon let it focus on agents, and that it would continue as a standalone company.⁠[18][17]

Dow Jones Newswires wrote in 2026 that in the deal Amazon agreed to hire some of Adept’s employees and to pay about $330 million to license its technology, a figure that comes from The Wall Street JournalThe Wall Street JournalThe Wall Street Journal is a U.S. news publication founded in 1889, with a focus on business, finance and economics. It is published by Dow Jones, part of News Corp.Open the full entry. GeekWire wrote in 2026 that the U.S. Federal Trade Commission was said to have examined the deal in 2024, and that acqui-hires of this kind have drawn regulatory scrutiny amid concerns that tech giants use such structures to absorb AI start-ups without triggering formal merger reviews.⁠[19][20]

Amazon’s AGI Lab Formally Established

GeekWire writes that the San Francisco-based Amazon AGI Lab that he led was formally established in December 2024 as a small, focused research group, and that he was also Amazon’s vice president of Autonomy. In 2025 GeekWire gave his title as “vice president of AGI Autonomy.”⁠[20][14]

Launch of Nova Act

In March 2025 Amazon unveiled Nova Act, an AI model and developer toolkit for building agents that carry out tasks autonomously in web browsers, released as a research preview and the first release of the San Francisco AGI Lab. GeekWire writes that Nova Act came as a Python software package that takes natural-language instructions and lets agents run in the background, many at once and without displaying anything on screen, completing step-by-step browser tasks such as submitting time-off requests or placing recurring orders; he led the lab together with Pieter AbbeelPieter AbbeelPieter Abbeel is an artificial intelligence and robotics researcher from Belgium, a professor at UC Berkeley and director of its Robot Learning Lab, known for research on robot apprenticeship learning and deep reinforcement learning. He co-founded Gradescope and Covariant and joined Amazon with part of the Covariant team in 2024.Open the full entry, an Amazon Scholar in robotics.⁠[14][20]

At the launch he said: “We really think agents are the last missing piece on the path to general intelligence,” adding, “This is really meant to be a way to engage developers,” and “We want to see what developers are going to do with it.”⁠[14]

Nova Act Becomes Generally Available on AWS

Announces Departure from Amazon

On Tuesday, February 24, 2026, he announced in a LinkedInLinkedInLinkedIn is a social networking platform for professionals. It was founded in 2002 by Reid Hoffman and others, launched in 2003, and listed on the New York Stock Exchange in 2011; after Microsoft acquired it for approximately $26.2 billion in 2016, it became a wholly owned Microsoft subsidiary. Its revenue comes from membership subscriptions, advertising, and recruitment solutions.Open the full entry post that he would leave Amazon at the end of the week to “cook up something new,” less than two years after joining. He wrote: “There’s incredible work to be done at Amazon and opportunities for me to take on more areas,” and “But with AGI so close, I decided to spend 100% of my time on teaching AI systems brand new capabilities”; GeekWire writes that he also said: “I have a bet for what’s next.”⁠[19][20]

GeekWire writes that in his post he said the team “will be in great hands” with Peter DeSantis, and that Amazon declined to comment beyond his post. Based on a review of LinkedIn profiles, GeekWire counted that four of the five Adept co-founders who had joined Amazon in the deal had by then left.⁠[20]

Education and Early Life

Digital Trends wrote in May 2011 that he had begun his studies at Andover and Yale University at the age when most people start middle school.⁠[2]

Digital Trends also wrote that he had been an investment associate with the Yale College Student Investment Group and a research intern at iRobot, the company that makes the Roomba robotic vacuum.⁠[2]

The Masters of Scale biography states that he holds a BS in Applied Math and Political Science from Yale University.⁠[9]

Interviews and Talks

Latent Space published an interview with him titled “Why Google failed to make GPT-3 + why Multimodal Agents are the path to AGI,” hosted by Alessio and swyx; the show notes link to a video of Dextro’s presentation at Data Driven NYC in 2015.⁠[3]

Angel Investments

In 2026 Primitive Labs, a company that uses AI to model customer behavior, launched with Rohit Talluri, who had worked under him in Amazon’s Autonomy Lab, as CEO; GeekWire writes that the backers listed in the company’s launch post included him as an angel investor.⁠[21]

Related Organizations, Websites, and Public Accounts

Thiel Fellowship: Official website: https://thielfellowship.org/ (opens in a new window).⁠[22]

Sources

  1. Young Entrepreneurs Rule – Meet Peter Thiel's First "20 Under 20" Thiel Fellows (opens in a new window)
  2. Peter Thiel's '20 Under 20': Who we're putting our money on (opens in a new window)
  3. Why Google failed to make GPT-3 + why Multimodal Agents are the path to AGI — with David Luan of Adept (opens in a new window)
  4. The Road Less Traveled: Darren Zhu, B.S. '13 (opens in a new window)
  5. This NYC Startup Was Just Acquired by TASER to Make Video Understandable (opens in a new window)
  6. TASER Makes Two Acquisitions to Create “Axon AI” Artificial Intelligence Comes to Public Safety (opens in a new window)
  7. Dextro Rolls Out Way to Make Periscope Video Streams Discoverable (opens in a new window)
  8. This NYC Startup Understands Video Better Than You (opens in a new window)
  9. David Luan (opens in a new window)
  10. 20VC: Why Foundation Model Performance is Not Diminishing But The Models Are Commoditising, Why Nvidia Will Enter the Model Space and Models Will Enter the Chip Space & The Right Business Model for AI Software with David Luan, Co-Founder @ Adept (opens in a new window)
  11. Introducing Adept (opens in a new window)
  12. Adept wants to make an AI assistant that just gets you (opens in a new window)
  13. Ex-Google, DeepMind Staff set up Startup to Develop General Intelligence (opens in a new window)
  14. ‘Nova Act’ moves Amazon further into the AI agent race (opens in a new window)
  15. Blog (opens in a new window)
  16. Announcing our Series B (opens in a new window)
  17. Amazon beefs up AI development, hiring execs from startup Adept and licensing its technology (opens in a new window)
  18. An update from Adept (opens in a new window)
  19. Amazon AI Lab Leader to Depart Amid Leadership Reshuffle (opens in a new window)
  20. Head of Amazon’s AGI lab is leaving in latest exit from high-profile Adept startup deal (opens in a new window)
  21. An agent in the empty chair: Amazon vets launch Primitive Labs, using AI to model customer behavior (opens in a new window)
  22. Thiel Fellowship (opens in a new window)
  23. OpenAI (opens in a new window)
  24. About Google: Our products, technology and company information - About Google (opens in a new window)
  25. Amazon News: Breaking news about Amazon and latest company updates (opens in a new window)
  26. David Luan (@jluan) / X (opens in a new window)