A van is parked in front of a nondescript garage. The van is going to ruin the photos. Despite appearances, this is a special garage – 2066 Crist Drive is Steve Jobs’ childhood home and the birthplace of Apple.
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At c. US$700 billion, Tesla’s lofty market capitalisation is buoyed by promises of fully autonomous vehicles. Elon Musk’s original masterplan (now removed from the Tesla website) was to “develop a self-driving capability that is 10X safer than manual via massive fleet learning” and to “enable your car to make money for you when you aren’t using it“.
So far, these have been a pipe dream. The 10th October “We, Robot” event is meant to assuage critics. Judging by the share price drop of c. 8% the following day, market participants are not convinced by Tesla’s autonomous future.
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It’s a breezy evening by the lake. The walk on the pavement near a busy intersection is marred only by wafts of cigarette smoke. Petrol fumes are a thing of the past – electric vehicles dominate the tree-lined boulevard. Restaurants and cafes are packed, with an orderly queue forming in front of an internet-famous eatery (网红店). I’m at the scenic West Lake in Hangzhou. This is China in the year 2024.
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We have ever-changing answers to the perennial “what do you want to be” question. When I was very young, I wanted to be a pilot, traversing the world in jumbo jets. In my early teens, I found an affinity for computers and thought that I would very much like to be a tech entrepreneur.
A few years later, I approached the end of secondary school and was in dire need of a realistic career plan. I picked up the book, Rich Dad, Poor Dad, by chance, which led to an interest in investments. I read more investments-related books and came across something about Warren Buffett, the legendary investor, considering becoming an actuary. Boom – I had my answer – I was to be an actuary.
Having spent almost 15 years in the profession – studying for actuarial exams, training to become an actuary, and working as a qualified actuary – I still don’t have all the answers. But I do have one advice for young actuaries – do everything you can to increase your luck surface area.
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When I first heard of Bitcoin, I dismissed it like most people. I mean, what is this “magic internet money” that needs to be “mined” using electricity? It was not an intuitive concept to wrap my head around. Reading the Bitcoin white paper was an eye-opener. It turns out there’s no magic or witchcraft; Bitcoin is the first application of blockchain – a distributed, decentralised ledger. I’ve since gone deep down the rabbit hole and have written and spoken about the use cases of blockchain.
Bitcoin has come a long way since its genesis block on 3 January 2009. Bitcoin’s longevity and resilience has reinforced the belief that it will probably persist for years to come. One of Bitcoin’s most prominent proponents, Balaji Srinivasan, believes that Bitcoin is a viable escape hatch from a collapsing fiat system.
Time will tell whether Balaji is right.
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This blog post was first published in the June 2023 edition of The Actuary magazine. It’s also part of an ongoing series on how I use AI interns to improve my life. In this case, I’ve used ChatGPT for writing inspiration. The complete prompts and responses are at the bottom of the page.
Artificial Intelligence (AI) and machine learning (ML) techniques have been much hyped over the years. Beyond creating alternatives to generalised linear model (GLM), they have not come close to revolutionising actuarial work. Adoption of AI and ML techniques by the profession has been hampered by a lack of quality data and poor data infrastructure. Worse still, premature guardrails were imposed with good but misguided intentions – overzealous guidelines on AI safety and ethics were not commensurate with the primitive capabilities of the AI models in use.
In recent months, there have been impressive breakthroughs in AI models. You would have heard about ChatGPT and its ilk by now. These generative AI systems are unlike any that has come before – not only do they understand natural language (ChatGPT tells me it understands over 100 languages), they generate text, software code, and images with human-like flair and creativity.
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Artificial Intelligence (AI) is getting good, real good. Kevin Kelly, the futurist, has introduced the idea of AI as a universal personal intern (UPI) because its current capability is at the level of a competent intern – good enough to do the initial legwork but that work needs to be checked.
I’ve been making good use of generative AI like ChatGPT to solve real problems in my life. I’ve always enjoyed reading Twitter threads on how people use ChatGPT in an innovative way (the one that asks it to make as much money as possible is by far the most entertaining).
In the same spirit, I’ve decided to start a series of blog posts to share how I’m using AI. ChatGPT has suggested that I call this series “How I Used AI Interns to Improve My Life” for maximum clicks.
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This blog post was first published in the October 2022 edition of The Actuary magazine.
The term “metaverse” first appeared in the science fiction novel, Snow Crash. In Neal Stephenson’s seminal novel published in 1992, the metaverse is a “computer-rendered imaginary place” that users access by wearing “goggles that wrap halfway around the head”. What was once a niche nerdy term has exploded into mainstream consciousness. Hitherto the domain of science fiction, the metaverse is slowly becoming a reality.
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I love this time of the year – crisp autumn mornings, fall foliage, pumpkin spice latte, and Tesla’s annual AI Day.
Tesla AI Day is part product demonstration, part university lectures. These events provide technical details that showcase the company’s progress in artificial intelligence (AI) and robotics. They’re also staged to attract the best and brightest.
Tesla’s ability to recruit and retain top science and engineering talents in the age of the Great Resignation is an unparalleled competitive advantage, on par with its zero advertisement customer acquisition strategy.
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I spent the last several weekends working on Buildspace projects. These projects are free learn-by-doing tutorials on building fully functional web3 applications – from writing smart contracts, deploying them onto the blockchain, to building the user interface that interacts with the smart contract.
The applications I learnt to build include a decentralised version of Twitter, a non-fungible token (NFT) generator (see the collection on OpenSea), and a simple game that uses NFTs to represent the game characters. Doing these projects have helped me connect the dots.
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