Join Industry Leaders, Kwaai, and the broader developer community at SCALE21x on March 14th, 2024 for the Second Kwaai Personal AI Summit.  Hear about the opportunities and risks associated with the adoption of AI in the workplace, across our society, and in your personal life and what Kwaai is doing about it across our workgroups: Tools, Fundamentals and Policy.

Kwaai is on a mission to democratize AI with Personal AI.  We are building Personal AI, ensuring privacy and ownership, conducting fundamental research into model efficiencies, and advocating for responsible and humane policies that anticipate AI.

REGISTER FREE TO ATTEND
THE KWAAI PERSONAL AI SUMMIT

March 14, 2024
12:00 - 5:00 PM

Live at the Pasadena Convention Center, Los Angeles , CA
Streaming on LinkedIn Live

Join us to hear from AI thought leaders, including Keynotes from:

Doc Searls

 Individual Empowerment and Agency on a Scale We’ve Never Seen Before

Bruce Schneier

AI and Trust

John Willis

Anatomy of an LLM from one of the Godfathers of DevOps

Pankaj Kedia

The AI Accelerated Personalized Computing Revolution

Khai Pham, MD, PhD

Advancements in Machine Reasoning

Reza Rassool

What is Kwaai?
Our Mission and Values

Bruce Schneier

Security Guru, Bestselling Author, Privacy Leader

NYT Bestselling Author, including A Hacker's Mind
Author, Crypto-Gram, Schneier on Security
Fellow, Berkman-Klein Center for Internet and Society at Harvard University
Lecturer in Public Policy at the Harvard Kennedy School
Board member of the Electronic Frontier Foundation
Chief of Security Architecture at Inrupt, Inc. 

Link

AI and Trust

Trusting a friend and trusting a service are fundamentally different, and current AI systems are poised to exploit that difference. We will think of them as friends when they are actually services, and confidents when they will be actually collecting data behind our backs. Government is how we create social trust in our society, which requires regulating this potentially intimate technology.

About Bruce Schneier

Bruce Schneier is an internationally renowned security technologist, called a "security guru" by the Economist. He is the New York Times best-selling author of 14 books -- including A Hacker's Mind -- as well as hundreds of articles, essays, and academic papers. His influential newsletter Crypto-Gram and blog Schneier on Security are read by over 250,000 people. Schneier is a fellow at the Berkman-Klein Center for Internet and Society at Harvard University, a Lecturer in Public Policy at the Harvard Kennedy School, a board member of the Electronic Frontier Foundation and AccessNow, and an advisory board member of EPIC and VerifiedVoting.org. He is the Chief of Security Architecture at Inrupt, Inc.

Doc Searls

Identity and Privacy Author, Blogger and Leader
Fellow, Berkman Klein Center for Internet  & Society, Harvard University
Fellow, Center for Information Technology and Society, UC Santa Barbara
Instigator, ProjectVRM
Emeritus Editor in Chief, Linux Journal
Co-Founder, Customer Commons
Partner, The Searls Group

LinkedIn

Individual Empowerment and Agency on a Scale We’ve Never Seen Before!

According to Sam Altman, that's what OpenAI promises. Problem is, it can't deliver, because OpenAI is for AI in 2024 what IBM was for personal computers in 1974: still a mainframe company. As individuals, we know more about what we need from personal AI than any of the AI giants of today can guess at. And that's what Doc will talk about.

About Doc Searls

Doc Searls is the former editor-in-chief of Linux Journal, where he was on the masthead for 24 years. During that time he did much to establish open source as a Thing, earning a Google-O'Reilly Open Source prize for Best Communicator in 2005. In 2006 he became a fellow with Harvard's Berkman Klein Center and started ProjectVRM, which is all about increasing personal agency in networked markets, and which informed his 2012 book The Intention Economy: When Customers Take Charge. He also co-authored The Cluetrain Manifesto in 1999, which has been a hot topic ever since. And he sees personal AI as required approach to making many long-held dreams of cyber-utopians such as himself come true.

Pankaj Kedia

AI Venture Capitalist
Founder and Managing Partner, 2468 Ventures

LinkedIn

The AI Accelerated Personalized Computing Revolution

We have had a front row seat as computing has evolved over the last 3 decades – from the desktop PCs to laptop PCs, from tablets to smartphones, and from single-function devices to a plethora of smart devices and wearables. With AI going pervasive on a global scale, we are at the cusp of the next personalized computing revolution – where use cases will truly be optimized for 1:1 experiences. The personal assistant will know who you are, the recommendations will be based on personal context, the personality of the UX will adopt to your likes and dislikes, and the form factors will adapt to your lifestyle. This AI Accelerated Personalized Computing Revolution will be bigger and bolder than anything we have seen in the past with the Internet, Mobile, and Cloud and will transform how we work, play, connect, live, and share. In this keynote, Pankaj Kedia will share his vision for this impending revolution and challenge the audience to solve potential issues in realizing this vision.

About Pankaj Kedia

Pankaj Kedia is a tech intrapreneur and inventor turned AI investor, entrepreneur, educator, advisor, and thought-leader.

As a tech intrapreneur, Pankaj played leadership roles in founding, incubating and growing a series of new personal computing businesses at Intel and Qualcomm over the last 3 decades. He is credited for driving the growth of the Internet with laptop PCs, establishing mobile Internet with smartphones, and capitalizing on cloud expansion with IOT and wearable devices. Having lived through these technology revolutions – Internet, Mobile, and Cloud – Pankaj is now shaping and accelerating AI explosion as an investor, entrepreneur, educator, advisor, and thought-leader. As a renowned global tech executive, Pankaj is bringing the benefits of AI to society-at-large and is focused at the intersection of AI and high-growth verticals such as healthcare, wellness, industrials, consumer, finance, and energy.

As the Founder and Managing Partner of 2468 Ventures, he has directly invested in 125+ early-stage and Series A startups, is a partner at multiple VC firms and angel groups where he chairs the AI committees, teaches AI to MBA students at the University of San Diego Knauss School of Business, sits on multiple public, private, and non-profit boards of AI companies, and is a sought-after CXO advisor around AI and technology topics. He is a lifelong learner with degrees from Univ of Michigan, Wharton, Stanford, and IIT Roorkee. Pankaj lives in La Jolla, has worked in 25+ countries across 4 continents, has traveled to 100+ countries as a global citizen, and is committed to making San Diego a beacon of AI innovation.

John Willis

Cloud and DevOps Thought Leader
Author, Deming's Journey to Profound Knowledge
Co-Author, The DevOps Handbook
Founder, Botchagalupe Technologies

LinkedIn

Anatomy of an LLM from one of the Godfathers of DevOps

John offers a deep dive into the intricacies of tuning and augmenting Large Language Models (LLMs and RAGs). Gain a comprehensive understanding of the current Generative AI landscape, encompassing vector databases, LLM orchestration, foundational LLMs, and testing and observability. Stay tuned for live code demonstrations; I hope the demo gods are on our side!

About John Willis

Join us for an enlightening presentation led by John Willis, a pioneering figure in the DevOps movement. As he was wrapping up his book on Dr. Edwards Deming, often regarded as the pioneer of agile, lean, and DevOps methodologies, John stumbled upon ChatGPT. This serendipitous discovery prompted him to delve into the realm of AI from the perspective of a seasoned IT professional. Dive into the insights from his book, "A Journey to Profound Knowledge: How Deming Helped Win a War, Altered the Face of Industry, and Holds the Key to Our Future," and understand its connection with the emergence of AI in the tech world.

Khai Pham, MD, PhD

Kwaai Fundamental Research Leader
Workgroup Leader: Machine Reasoning
Founder and CEO, ThinkingNodeLife.ai

LinkedIn

Advancements in Machine Reasoning

In this talk, Dr. Khai Pham will share about how biological inspiration from our thinking mind will help us advance causal reasoning.

About Khai Pham, MD, PhD (AI)

Combining Medicine (MD) and Artificial Intelligence (PhD) at Sorbonne University, Dr. Khai Pham has been in the field of AI for 30 years. Few have tried to work on unifying AI approaches across the different systems, including Machine Learning, Reasoning AI, and Distributed Multi-Agent AI. He is a leading expert in Distributed AI and focuses today on developing the next-gen Generative Distributed Reasoning AI (GDR-AI) that differs from existing Generative AI, such as ChatGPT, by two main elements: it is based on reasoning and not pattern recognition and generates reasoning models (the way humans understand the world and make rational decisions) instead of texts, images, or videos.

He has been a successful innovator and entrepreneur in Silicon Valley. He was the founder & CEO at DataMind, a leading AI company based on the first generation of his Distributed AI Technology. It was used by major financial institutions, marketing centers, and medical manufacturers, and Bank of America acquired the patent in 2012. Later renamed RightPoint, it was acquired by E.piphany (Nasdaq:EPNY) for US$637 Million.

Today, Dr. Pham is the Founder & CEO of ThinkingNodeLife.ai (TNL), the first AI Digital Cells Lab at scale capable of generating the most advanced Digital Human Cell Clones . This allows the prediction and the mechanistic understanding of the impacts of molecules or drugs on any human cells of interest. This impacts the entire drug R&D value chain in multiple ways. TNL provides a decisive advantage for developing both first-in-class drug, by providing mechanistic identification of novel disease-targets, and best-in-class drug, by simulating each drug in various R&D phases. For example, all assets of a pharmaceutical company can be prioritized for early development using TNL’s platform and existing launched products can be quickly repurposed for new indications. The TNL AI Digital Cells Lab has already proven its effectiveness in serving biopharmaceutical customers, particularly in the realms of cancer and autoimmune diseases.  Dr. Pham is also a founding advisory board member of KWAAI.ai, a non-profit AI Research and Development Lab Democratizing AI. He mainly contributes to the AI Fundamentals.

Hear from Kwaai Advisors at SCALE21X


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Catch up from last quarter...

Kwaai's Inaugural Personal AI Summit