Tidbits #38 – The Pastry AI That Can Detect Cancer

Hello, friends!

There’s a lot to talk about. A lot that is interesting.

A common theme that I think is becoming increasingly prevalent is the fungibility of technology. Not just software, but all of tech, including biotech, across all industries and aspects of life. What I mean is that technology is increasingly not its own confined domain, but something that is becoming foundational to everything that we do, to our future, and to our world.… Read the rest “Tidbits #38 – The Pastry AI That Can Detect Cancer”

Tidbits #36 – New Business Surge, Changing Date Nights, and a Whole New Reality

Hello, hello! 👋🏻

Here’s what I found interesting recently.


🗺 Geopolitics

#1 Microsoft Attack Blamed on China Morphs Into Global Crisis

A sophisticated attack on Microsoft Corp.’s widely used business email software is morphing into a global cybersecurity crisis, as hackers race to infect as many victims as possible before companies can secure their computer systems.

The attack, which Microsoft has said started with a Chinese government-backed hacking group, has so far claimed at least 60,000 known victims globally, according to a former senior U.S.

Read the rest “Tidbits #36 – New Business Surge, Changing Date Nights, and a Whole New Reality”

Predicting the Potential of “New Electricity” by Looking at the Lessons of “Old Electricity”

Andrew Ng (former Chief Scientist at Baidu, Co-founder of Coursera) is fond of referring to AI as the “new electricity”. Similar to how electrification ended up transforming every single industry during the 20th Century, AI is broadly expected to have similar (if not greater) impact in the coming years.

This post by Oscar Li does a great job encapsulating Andrew Ng’s thoughts as shared during a recent lecture at Stanford.… Read the rest “Predicting the Potential of “New Electricity” by Looking at the Lessons of “Old Electricity””

What Apple, Google, and Facebook’s Business Models Tell Us About Their Ability to Adapt to the Coming AI-Future

 

Judging from market multiples, it’s clear the market is skeptical of Apple’s ability to continue to succeed and has been for many years (currently, 1-yr forward P/E of ~15x despite recent re-rating), while holding limited concern for Google and Facebook (both 1-yr forward at ~26x).

This concern is understandable given the ever-changing tech environment and the long list of tech companies that have been buried over time (e.g.… Read the rest “What Apple, Google, and Facebook’s Business Models Tell Us About Their Ability to Adapt to the Coming AI-Future”