Web 3.0 Dreams and Reality

Web 3.0 Dreams and Reality

Every industry consolidates to a handful of centralized competitors. That will never change regardless of current dreams of decentralization from Web 3.0. Modern computing is a constant struggle between decentralization and centralization. Centralization wins eventually, and it will again. These dynamics, combined with the latest crash that may cool investors’ appetite for all things crypto, suggest that Web 3.0 will not dislodge Web 2.0. Instead, the future may belong to a mix of the two, with Web 3.0 occupying certain niches. Whether or not people keep splurging on NFTs, such tokens make a lot of sense in the metaverse, where they could be used to track ownership of digital objects and move them from one virtual world to another. Web 3.0 may also play a role in the creator economy, assuring intellectual property ownership. NFTs make it easier for creators of online content to make money. In this limited way, at least, even the masters of Web 2.0 see the writing on the wall: on January 20th both Meta and Twitter integrated NFTs into their platforms.

Digital Assets

Digital Assets – Technology of Freedom?

Digital assets are disrupting finance – the world’s largest industry. All assets, intellectual property, and even currency can now be digitized, and anyone can access anything from anywhere. The finance industry is being this intermediated and globalized, economic development and policy will be forever changed.

Time

A Few Simple Conclusions on a Few Simple Topics

Transformation, Valuation, Employment, and Deflation

Disruption to some of the world’s most important industries, deflationary pressure caused by scaling lower-cost businesses, and sustained low interest rates challenge traditional valuation models. Technological platforms, from blockchain-based businesses to energy storage to DNA sequencing, enable unprecedented disruption to business and economic models.

Interest rates will remain low, equity values will remain high, innovation will drive deflationary pressure, and volatility will be intense and frequent. A new approach is required to understand dynamic global competition and sustainable value.

Distributed Machine Learning Can Bring Healthcare Breakthroughs

Over the last decade, the dramatic rise of deep learning has led to stunning transformations in dozens of industries. It has powered our pursuit of self-driving cars, fundamentally changed the way we interact with our devices, and reinvented our approach to cybersecurity.

In health care, however, despite many studies showing its promise for detecting and diagnosing diseases, progress in using deep learning to help real patients has been agonizingly slow. All this could change with distributed learning.