Irving Wladawsky-Berger

The 2001 Hispanic Engineer of the Year Award

In 2001, I had the honor of being named Hispanic Engineer of the Year by Great Minds in Stem (GMiS), - one of the proudest moments in my career. GMiS is an organization dedicated to ensuring that Hispanic students of all ages are inspired to pursue careers in Science, Technology, Engineering and Math (STEM). For 33 years, GMiS has recognized the achievements of the top engineers and scientists in the US Hispanic community that have been nominated in more than 20 categories in industry, government, academia and the military. Winners receive their awards at a gala event that serves as the climax of the annual GMiS conference.

A few weeks ago I received an email announcing that the 2022 GMIS conference will take place in October in Pasadena. A few days later a childhood friend sent me an article about the great Afro-Cuban singer Celia Cruz, whose music I’ve been listening to since growing up in Havana and who like me left Cuba in 1960. It reminded me that when we were asked to pick the walk-in music we wanted played as we approached the podium to receive our award and give our acceptance speech, I picked a song by Celia Cruz. Finally, earlier this year I signed up to 23andMe which confirmed that my DNA is 99.7% Ashkenazi Jewish, not surprising given my parents background.

I went back and looked at the speech I gave over 20 years ago. I hadn’t look at those remarks in a long time, but as I read them, the words still resonated with me, particularly because they reflect my multi-cultural Jewish-Cuban-American heritage. Let me share what I said back then.

Web3 - Safeguarding Our Identity and Personal Data in the Digital World

Transformative technologies are generally accompanied by a mixture of excitement and confusion in their early years. Something important is going on out there, although there’s no consensus on what it is yet. A major reason for the lack of consensus is that there’s no single dimension around which to define an emerging technology or business model. It’s like the fable of the blind men and the elephant. Each one touches a different part of the elephant. They then compare notes on what they felt, and learn that they are in complete disagreement.

This was the case with the advent of the commercial internet in the early 1990s. A lot was starting to happen around the internet, but we weren’t sure where things were heading. It was pretty clear that a communications revolution was underway: after all, the internet was fundamentally a network of networks, and email was one of its earliest and most popular applications. It was also an information revolution: anyone with a browser, a PC, and an internet connection could now access all kinds of content in the new World Wide Web. And, above all, it promised to be an economic revolution: the internet ushered a historical transition to a new kind of digital economy, including many innovative e-business applications.

Over the past few decades, the term internet has come to encompass a number of related technologies including broadband networks, mobile devices, social media, cloud computing, e-commerce platforms, big data, AI, and more. More recently, we’ve seen the emergence of a new set of technologies and business models that are once more generating excitement, confusion, and multiple opinions on what they’re all about: Web3.

Last week I wrote about web3, referencing two recent books: the just-published Digital Asset Revolution by Alex Tapscott, and the soon-to-be-published Think Blockchain by Jerry Cuomo.

I wrote that web3 aims to usher a more open, entrepreneurial internet and digital economy by replacing today’s corporate mega-platforms with blockchain-based decentralized networks. Web3 would thus give creators, developers and users a way to monetize their contributions, involve them in the governance and decision-making of the platforms supporting their work, and give individuals more privacy and control over their data.

I now want to discuss another perspective on web3 based on The Emerging New Economy: Causes and Consequences of Web 3.0, a recent Stanford seminar by Alex (Sandy) Pentland, MIT professor and faculty director of the MIT Connection Science Research initiative, - with which I’ve long been affiliated as a Connection Science Fellow.

The Potential Impact of Web3 on the Internet and the Digital Economy

A few weeks ago, the Blockchain Research Institute (BRI) announced that its annual global conference would be renamed Web3 Blockchain World, and that the Enterprise Blockchain Awards would now be called the Web3 & Blockchain Transformation Awards.

I’ve been affiliated with BRI for a number of years as a research contributor and as chair of its blockchain awards committee. I was somewhat concerned with the name change, because, as is generally true of new technologies in their early stages, there are multiple views of what web3 is all about. Critics view web3 as little more than hype, a rebranding effort to shed some of the cultural and political baggage of crypto, while supporters believe that web3 represents the future of the internet, upending traditional gatekeepers and ushering a middleman-free digital economy.

Over the following weeks I learned from BRI founder Don Tapscott his reasoning behind the decision that BRI should embrace web3 in its research and events. I read Think Blockchain, a book by IBM Fellow and VP of Blockchain Technologies Jerry Cuomo that will be published later this month. I read the section on Web3 and the New Internet of Value in Digital Asset Revolution, a book by BRI co-founder Alex Tapscott that was just published earlier this week. And I looked at a number of articles from both supporters and critics of web3.

In the end, I became convinced that web3 is now where the commercial internet was in the early 1990s, cloud computing in the late 2000s, and blockchain in the mid 2010s: a very promising set of technologies and applications in their early years. While, at this stage it’s not yet clear how it will evolve, it’s time to start paying serious attention to web3 and try to influence its directions. Let me briefly share my views of web3.

Foundation Models: AI’s Exciting New Frontier

Over the past decade, powerful AI systems have matched or surpassed human levels of performance in a number of specific tasks such as image and speech recognition, skin cancer classification and breast cancer detection, and highly complex games like Go. These AI breakthroughs have been based on deep learning (DL), a technique loosely based on the network structure of neurons in the human brain that now dominates the field. DL systems acquire knowledge by being trained with millions to billions of texts, images and other data instead of being explicitly programmed.

These task-specific, DL systems have generally relied on supervised learning, a training method where the data must be carefully labelled, - e.g., cat, not-cat, - thus requiring a big investment of time and money to produce a model that’s narrowly focused on a specific task and can’t be easily repurposed. The rising costs for training ever-larger, narrowly focused DL systems have prompted concerns that the technique was running out of steam.

Foundation models promise to get around these DL concerns by bringing to the world of AI the reusability and extensibility that have been so successful in IT software systems, from operating system like iOS and Android to the growing number and varieties of internet-based platforms.