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By:

Kiran D. Tare

21 August 2024 at 4:53:13 pm

The Great Contrarian

Michael Burry made his reputation by seeing through the housing boom. Now he is turning his scepticism on AI by questioning the stories being told about it. Michael Burry has always had an uncomfortable relationship with consensus. When everyone else sees a boom, he tends to look for the balance sheet underneath it. Recently, when some of the globe’s most powerful executives began telling the public that Artificial Intelligence is something is both enormously valuable and dangerously...

The Great Contrarian

Michael Burry made his reputation by seeing through the housing boom. Now he is turning his scepticism on AI by questioning the stories being told about it. Michael Burry has always had an uncomfortable relationship with consensus. When everyone else sees a boom, he tends to look for the balance sheet underneath it. Recently, when some of the globe’s most powerful executives began telling the public that Artificial Intelligence is something is both enormously valuable and dangerously powerful, Burry’s instinct was to wonder who benefits from the story. Burry’s instinct – of saying directly that the Emperor has no clothes – has made him famous. As the physician-turned-investor immortalised in 2015 film The Big Short, Burry was one of the investors who saw the fragility of America’s housing market before the financial crisis of 2008. While Wall Street was busy packaging subprime mortgages into increasingly elaborate securities, he concluded that the loans were deteriorating, lending standards were weakening and house prices could not keep rising simply because the financial system assumed they would. This month, as some of the world’s most prominent AI executives began warning that the technology could produce catastrophic consequences unless its development was slowed, Burry again took aim at the argument. In a post on his Substack, Cassandra Unchained, he described the warnings from OpenAI’s Sam Altman, Anthropic’s Dario Amodei and Elon Musk as “self-serving” and suggested that the language of impending catastrophe was serving a very different purpose from public safety. Burry pulled no punches when he said that the technology’s boosters and its doomers can sometimes be selling the same product. Burry’s suspicion is that the more extraordinary AI appears, the more extraordinary its valuations become. The same behemoths then warn that AI development must be slowed, gain time and protection from their competitors. Burry’s suspicion is particularly pointed because OpenAI and Anthropic have been moving towards possible public listings at enormous valuations. Inc. reported his argument on September 16, noting his contention that AI safety warnings could provide “cover” for slowing growth and postponing IPO plans. Burry’s provocative formulation is that large language models are not themselves artificial general intelligence, and the industry’s rhetoric about slowing “AI” therefore risks confusing a specific class of technologies with a much broader hypothetical future. The current AI debate has increasingly acquired the language of science fiction when it speaks of machines that might escape human control and autonomous systems that might manipulate infrastructure. While such scenarios deserve examination, Burry asks a more mundane question: what if the companies issuing the warnings have commercial incentives that are being overlooked? It is a question characteristic of the man who became famous by reading the footnotes while everyone else watched the headline. Burry’s scepticism toward AI is not new. Since launching Cassandra Unchained in November 2025, he has made the economics of the AI boom one of its central subjects. His writings have examined what he calls “supply-side gluttony”, the enormous investment in AI infrastructure and the financial assumptions underlying the industry. He has also taken short positions against several beneficiaries of the AI boom, including Nvidia and Palantir, arguing that the market may be pricing in too much future success. In one series, The Heretic’s Guide to AI’s Stars, he has examined the accounts of Nvidia and the major hyperscalers, focusing on capital spending, financing arrangements, customer concentration, depreciation and other details that can disappear beneath the headline numbers. His argument is not simply that AI companies are overvalued. He sees familiar patterns in the rush to build infrastructure before the economic returns have been established. In June, he wrote that he had seen something similar before and compared the current AI capital flows with the exuberance of the late 1990s. Burry’s reputation has not been built on predicting every future development. Rather, it was built on being willing to ask whether the story everyone else was telling was supported by the evidence. The housing crisis taught investors that financial innovation could conceal old-fashioned bad lending. The AI boom may yet teach markets that revolutionary technology can coexist with inflated expectations and extraordinary valuations. Burry’s great talent is refusing to accept the present at face value. In a market increasingly dominated by grand claims about machines that will either save civilization or destroy it, that may be the most contrarian position of all.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Writer: Dr. Ramnath Babu T J
Dr. Ramnath Babu T J
Nov 7, 2024
3 min read

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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