Derek, partner since 2016 (Milton, Ontario)
This week in charts
Private credit
Employee efficiency
When Canada’s national pension plan reported financial results in May, one fact really stood out for me: a full third of its assets — about $190 billion — are invested in private equity.
Different from public equity, where investors buy a stake in a publicly listed company, private equity refers to the private ownership of non-listed firms or of those that were once public and have been since taken private. CPP Investments invests in private equity in two ways. The first is via direct investments, where it holds ownership stakes that vary from passive, minority positions, up to 100% control of private companies. The second is through private equity funds run by private equity firms, such as KKR and Blackstone. In this type of investment, CPP commits an amount (typically, a few hundred million dollars) alongside other big (mostly institutional) investors.
On the face of it, this investment approach seems reasonable — struggling businesses could always use fresh cash injections and new leadership. But some feel private equity has a tendency to put profits ahead of ethics.
But despite increasing concern about private equity tactics, over the past decade CPP Investments has shifted more and more of its assets into that investing category in search of high returns. Private equity now accounts for 33 per cent of their portfolio. For comparison, CalPERS, the largest U.S. pension fund, has only about 11% of its assets invested in private equity, while Norway’s oil fund, one of the world’s largest wealth funds, has no investments in private equity at all.
Ethical questions are not the only concern when it comes to CPP’s investments in private equity. There is also the lack of transparency. While CPP regularly commits hundreds of millions of dollars to private equity funds, contributors and beneficiaries often have no idea how the money is really invested.
Private equity investments cannot be marked-to-market in the same way that public equities are, since these are stakes in private companies. This could create ambiguities with respect to the true value of some private equity holdings. Since the “market value” of a private equity fund is reported by the private equity firm that runs it, some question whether reported values can always be trusted.
Additionally, since usually there is a gap (of months, or in some cases years) between the time at which an institution (such as CPP Investments) commits funds to a private equity investment and the time at which the money is actually transferred, there is some ambiguity in the method used for calculating returns.
The CPP Investments’s heavy reliance on returns generated by private equity requires a serious debate.
But if fresh academic research shows that there is no added value in private equity, and Warren Buffett — arguably the most successful investor in the world — is highly skeptical about private equity, I think Canadians should be concerned.
Buyout groups raise debt against portfolios to return cash as dealmaking slows
Private equity fund managers are borrowing against asset portfolios to return cash to investors as they struggle to exit investments, adding another layer of debt to the loans financing their corporate buyouts.
Firms are increasingly resorting to the technique, called net asset value financing, because rising debt costs and concern over the economy are making it difficult for them to sell or list the companies they own.
NAV financing is perceived as less risky than lending to a single company. It is also cheaper for the borrower, according to private equity executives.
But some analysts have voiced concerns that such borrowing heaps extra debt on buyout portfolio companies that are already grappling with higher borrowing costs and a weakening economic outlook.
He added that NAV financing had provided “an alternative means to introduce liquidity” at a time when “all M&A metrics are down and exit activity is dramatically reduced [and] refinancing at the individual asset’s level is more expensive and difficult”.
Transformers: the Google scientists who pioneered an AI revolution
In early 2017, two Google research scientists, Ashish Vaswani and Jakob Uszkoreit, were in a hallway of the search giant’s Mountain View campus, discussing a new idea for how to improve machine translation, the AI technology behind Google Translate.
The AI researchers had been working with another colleague, Illia Polosukhin, on a concept they called “self-attention” that could radically speed up and augment how computers understand language.
Polosukhin, a science fiction fan from Kharkiv in Ukraine, believed self-attention was a bit like the alien language in the film Arrival, which had just recently been released. The extraterrestrials’ fictional language did not contain linear sequences of words. Instead, they generated entire sentences using a single symbol that represented an idea or a concept, which human linguists had to decode as a whole.
The cutting-edge AI translation methods at the time involved scanning each word in a sentence and translating it in turn, in a sequential process. The idea of self-attention was to read an entire sentence at once, analysing all its parts and not just individual words. You could then garner better context, and generate a translation in parallel.
The three Google scientists surmised this would be much faster and more accurate than existing methods. They started playing around with some early prototypes on English-German translations, and found it worked. During their chat in the hallway, Uszkoreit and Vaswani were overheard by Noam Shazeer, a Google veteran who had joined the company back in 2000 when Google had roughly 200 employees. Shazeer, who had helped build the “Did You Mean?” spellcheck function for Google Search, among several other AI innovations, was frustrated by existing language-generating methods, and looking for fresh ideas.
So when he heard his colleagues talking about this idea of “self-attention”, he decided to jump in and help. “I said, I’m with you . . . let’s do it, this is going to make life much, much better for all AI researchers,” Shazeer says.
The chance conversation formalised a months-long collaboration in 2017 that eventually produced an architecture for processing language, known simply as the “transformer”. The eight research scientists who eventually played a part in its creation described it in a short paper with a snappy title: “Attention Is All You Need.”
Today, the transformer underpins most cutting-edge applications of AI in development. Not only is it embedded in Google Search and Translate, for which it was originally invented, but it also powers all large language models, including those behind ChatGPT and Bard. It drives autocomplete on our mobile keyboards, and speech recognition by smart speakers.
Its real power, however, comes from the fact that it works in areas far beyond language. It can generate anything with repeating motifs or patterns, from images with tools such as Dall-E, Midjourney and Stable Diffusion, to computer code with generators like GitHub CoPilot, or even DNA.
Vaswani, who grew up in Oman in an Indian family, has a particular interest in music and wondered if the transformer could be used to generate it. He was amazed to discover it could generate classical piano music as well as the state-of-the-art AI models of the time.
“The transformer is a way to capture interaction very quickly all at once between different parts of any input, and once it does that, it can . . . learn features from it,” he says. “It’s a general method that captures interactions between pieces in a sentence, or the notes in music, or pixels in an image, or parts of a protein. It can be purposed for any task.”
The genesis of the transformer and the story of its creators helps to account for how we got to this moment in artificial intelligence: an inflection point, comparable to our transition on to the web or to smartphones, that has seeded a new generation of entrepreneurs building AI-powered consumer products for the masses.
But it also highlights how Google’s evolution into a large bureaucratic incumbent has stifled its ability to let entrepreneurialism flourish, and to launch new consumer products quickly. All eight authors, seven of whom spoke to the Financial Times, have now left the company.
This week’s fun finds
Monday night nailbiter
EdgePoint Football Club gave the fans an exciting finish to its penultimate game of the regular season. After trailing 1-2 at the half, two unanswered goals in the second frame brought the team’s record to 4-0-2.
The latest EdgePointer of the Month features our CFO Norm Tang.
Our CFO Norm reviews many important things at EdgePoint, but his most critical assessments might be using a detailed scoring system to rate our EdgePoint moais (company lunches to bring people together). He’s proof that there is accounting for taste. Norm’s discerning nature isn’t limited to food – he has recommendations for almost everything from sneakers to power tools to cars. The former competitive motorcycle rider may have hung up his racing suit, but Norm still organizes company outings to go-kart tracks to feed his need for speed. We’re also very fortunate that he’s as skilled with words as he is with numbers since Norm’s company-wide E-mails often keep us laughing (or running to the kitchen when he brings in a couple dozen of his favourite Jamaican patties).
Prior to joining EdgePoint, Norm worked as a senior manager at KPMG LLP’s Financial Institutions and Real Estate Assurance practice. He earned his B.Comm. from the University of Toronto and is both a Chartered Accountant and a Chartered Professional Accountant. Norm is also Chief Financial Officer of Cymbria Corp. and Director of Finance of EdgePoint Investment Group Inc.
Norm’s office is a testament to his love of collecting things, and in that spirit, he decided to share his list of top three places that he’s crashed a motorcycle:
3) Entering the hairpin at Shannonville Motorsport Park – “It particularly sucked because it was a high-side crash and I ruined my favourite helmet and tore my rotator cuff. I also realized later that I had a concussion.”
2) The carousel also at Shannonville – “Memorable because it ended my amateur racing career. I tore my other rotator cuff and it took about three months before I could lift my arm over my head. I learned that 30 years of age is about when the body starts making business decisions for you.”
1) Making an outside pass at Turn 2 at Mosport during practice – “One of the more terrifying corners at any racetrack on planet Earth. It’s extremely fast (160+ km/h), downhill, completely blind (you have to be turning before you can see the turn), and it’s off-camber. I slid all the way and hit the tire wall. Two hours later I repaired the bike and put it on pole so it wins #1 crash.”
Scientists Discover That Metals Heal Themselves in 'Astonishing' Breakthrough
Scientists have observed metal “healing” itself for the first time, an unexpected discovery that challenges basic tenets of materials science and could pave the way toward more durable metal structures, reports a new study.
The breakthrough was made at Sandia National Laboratories during an experiment that was initially focused on the growth of nanoscale fatigue cracks on metals, such as platinum. Researchers including Brad Boyce, a staff scientist at Sandia, watched the tiny cracks form and grow in the metal as expected, but were stunned to see the metal autonomously welding itself back together.
Human beings, along with countless other lifeforms, have evolved ways to heal ourselves from injuries and illnesses, but reproducing this restorative ability in artificial materials can be a tall order. Some substances, such as plastics and ceramics, demonstrate remarkable self-healing abilities, but few experts had considered that metals might be able to autonomously mend their wounds.
While the discovery may evoke visions of T-1000 robots or indestructible metalworks, the long-term implications of this self-healing process remain unclear. That said, the researchers noted in the study that “self-healing has the potential to impact numerous structural applications of metals, in particular fatigue failures under cyclic loading where delayed catastrophic failure is difficult to anticipate, even given extensive empirical data.”
The Disneyland 'first pickle' award that’s almost impossible to win
“The first pickle,” she said. “It’s a real thing. You get an award if you buy the first pickle of the day from one specific pickle cart at Disneyland.”
The legend is real. The first person of the day to purchase a $3.99 pickle from the fruit cart midway down Main Street in Disneyland Park gets a special “first pickle” pin. Simple, right? As I would soon find out, it was the complete opposite of simple. Trying to get the first pickle turned out to be one of the most difficult things I’ve ever done at Disneyland.
First, there was the planning stage. Disneyland starts letting people into the park half an hour before rope drop: If the park opens at 8 a.m., for example, the gates open at 7:30 a.m. But you can’t just saunter up at 7:30 a.m. expecting to get straight through. There’s parking to consider. Security lines. Trams to Downtown Disney. Plus, you'll need to get past all the people queued up to rope drop who will inevitably have gotten there earlier.