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Remembering my mischievous friend, Tom Lehrer

Tom Lehrer, 1928-2025. Credit: Getty

Tom Lehrer, 1928-2025. Credit: Getty

29 July 2025 - 2:15pm

Tom Lehrer, who has died at the age of 97, effectively vanished from the public eye half a century ago. Yet my brief encounters with the former musical satirist in his later years offered insight into the kind of man he was.

We met through a Harvard professor called Dorothy Zinberg. The two had been friends since childhood, and were neighbours in Cambridge, Massachusetts until her death in 2020. As a “friend of Dorothy”, she was more like a sibling to him, spending every one of Lehrer’s birthdays and every Thanksgiving with him. Tom would sit at Dorothy’s grand piano playing singalongs with A4 hand-outs. She even “inherited” his mother’s pearls and Pucci dresses.

It was Dorothy who arranged a dinner for the three of us in a carpeted Harvard Square eatery in 2012. Tom was 85 at the time, and already deaf enough that he could “no longer hear his mistakes at the piano”, but he still had a twinkle in his eyes. And the dark, scathing wit was very much still there; as Dorothy would say, “his disgruntlement knows no bounds.”

Any politician who came up would be excoriated. Dorothy had recently seen her friend Henry Kissinger, though I’m unsure whether she referred back to Tom’s public assessment of the US Secretary of State: “Political satire became obsolete when Henry Kissinger was awarded the Nobel Peace Prize.” Bring up showbiz, however, and Lehrer’s eyes would light up. He could still rattle off any line of just about any musical, from Gilbert and Sullivan to the present day. He’d just met, after much reluctance, Daniel Radcliffe — whose rendition of Tom’s song “The Elements” had been a YouTube sensation — and had a blast.

And what of his private life? There were hints of an encounter with Noël Coward, mention of which received an amused raised eyebrow. Sondheim was a contemporary, but while Tom was devoted to Stephen’s lyrics, he claimed to have “no interest” in him. Was there someone in Santa Cruz, where he spent five months each year? No comment.

Tom remained healthy, abstaining from alcohol and rationing his consumption of salt and sugar, and confronted with humour the sad realities of ageing. When he broke his hip in 2019, he wrote to Dorothy: “Three cheers for cortisone. Perhaps instead of a cocktail party you might have a cortisone party. With dancing, of course. Anyway, I hope the cortisone holds out and that one does not build up an immunity to it. Even after you are gone, the shots may help you roll over in your grave at current events.”

His friends weren’t spared from his satire, either. When he caught sight of my cringeworthy notes from a fancy holiday in Cape Town, he couldn’t help but return to his roots in parody. “Santa Cruz is exquisitely lovely this time of year,” he wrote. “What a treat to wake each morning to view Monterey Bay practically at my Florsheim-slippered feet and sit out on the plywood deck, sipping Mountain Dew from an heirloom jelly glass, under a veritable pergola of spider webs. Those less fortunate (and doesn’t that include everybody?) must live inland.” The full spoof extended to 600 words, including lines such as “Last night they introduced me to several of the nouveau-riche multithousandaires who have helped make Santa Cruz the must-see town that it is today. We all ended up at a delightful new sports bar, which fortunately hasn’t been ‘discovered’ yet, and sipped Bud Lite until almost ten o’clock.”

Above all, Tom was generous to a fault. He placed his entire works in the public domain in 2020, and on a smaller scale gifted me several songbooks and offered me his piano music after he stopped playing. He left the world clamouring for more of his sardonic songs when he quit music for mathematics at the height of his fame. But his memory and wit will live on well beyond his 97 years.


Harry Briggs is an investor, pianist and showtune fan.

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China is threatening America in the AI race

Reports sugget Zhipu AI  has released a new model that can rival leading US systems. Credit: Getty

Reports sugget Zhipu AI has released a new model that can rival leading US systems. Credit: Getty

1 July 2026 - 10:18am

China is trying to catch up with America on artificial intelligence. The Wall Street Journal has reported that Zhipu AI — one of China’s six “AI tiger” LLMs — has released a new model that can rival leading US systems, including Anthropic’s Mythos, in cybersecurity tasks such as pinpointing security bugs. While this marks a milestone in China’s drive to catch up with Western AI capabilities, strong performance on a single benchmark does not mean it has taken the lead. Chinese models still lag behind their Western counterparts in broader capabilities, such as autonomous operation. Skepticism is therefore warranted before resorting to hysterical conclusions, but complacency about the geopolitical implications of China’s AI advances would be an even greater mistake.

On the infrastructure side, Chinese AI is still constrained by access to advanced chips, with American labs way ahead in computing capacity as well as investment. Analysis from earlier this year suggests that Chinese models are likely to be at least a few months behind those in the US. But they are still continuing to make progress, or that the geopolitical importance of AI will be decided only by whose LLM has ventured deeper into the technological frontier. The practical applications of AI, countries’ to capture foreign markets, and the application of AI into the real economy will matter just as much.

Here, China may hold an advantage. As with its dominance across many critical supply chains, Beijing may not need to produce the most advanced AI systems — only those that are affordable and widely deployable. In doing so, it could consolidate global influence by supplying functional, low-cost AI at scale.

Beijing seems to be pursuing exactly that path, developing an AI “open-source” strategy that offers affordable, widely available AI models for companies and individuals to use and modify as they wish. The production of the DeepSeek AI model, which matched the performance of Silicon Valley tools such as ChatGPT at a fraction of the cost for users, created goodwill among Chinese models with developers.

The four most popular models on OpenRouter, an AI hardware platform for developers, are now all Chinese. The goal for China is not only to win the frontier-model race, but to make its systems the default layer of AI adoption across industries and global markets. For most economies, the choice is increasingly between an affordable tool they can deploy now and a more robust one that may be out of reach.

And while the countries adopting Chinese models may be exposed to political pressure and cyber threats from Beijing, safer and more capable alternatives matter little if they are unaffordable. American AI companies are already under pressure to monetize products whose operating costs are rising. If Chinese open-source models become the cheap default for startups, universities, governments and businesses across the developing world, then America’s AI lead will be eroded from below.

Perhaps more concerning for America in the long run is how AI can give Chinese manufacturing even more strength, through the ongoing integration of AI as a general-purpose technology. China’s new Five-Year Plan mentioned AI more than 50 times and includes an “AI+” action plan aimed at spreading AI across the economy.

Beijing has been pioneering automation of its critical infrastructure for years, with promising recent results in increasing warplane production capacity. In that regard, China’s open-model strategy and manufacturing dominance will reinforce each other. Cheap, adaptable models accelerate deployment across the real economy while those deployments generate real-world data and use cases that can feed back into further model improvement.

The United States should not dismiss the importance of its lead in the AI race. That lead worries Beijing, not least because a more automated Chinese economy would also become more vulnerable to AI-generated cyber threats. But nor should Washington assume that China cannot catch up with American capabilities over time.

This AI competition represents part of a broader struggle over tech supply chains and geopolitical influence. Decisions over whether to adopt US or Chinese models could produce a more fragmented global reality, with different regions relying on different cloud providers, chips and security structures. The result will likely be a global economy which is divided into competing spheres, rather than one which produces a single winner.


Miquel Vila is a political and geopolitical risk consultant focusing on industrial strategy, critical infrastructure and global supply chains.

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