Author: Henry Kanapi

Henry Kanapi is a journalist and editor covering the intersection of artificial intelligence, financial markets, and technology disruption. He has sourced, written, and edited thousands of stories on crypto, banking, and macroeconomics as Senior Editor at The Daily Hodl, where he helped shape coverage for an audience of over two million monthly readers. At CapitalAI Daily, Henry brings a decade of newsroom experience to fast-paced reporting on AI breakthroughs, market shifts, fraud cases, and regulatory battles. His focus is on accuracy, clarity, and exposing how money moves in the age of artificial intelligence. Henry’s work has been cited by leading financial outlets, investment firms, and research communities tracking the future of markets. He is committed to a high editorial standard rooted in transparency and trust.

A macro investor with over 30 years of experience believes that AI will boost balance sheets in the same way the Fed’s quantitative easing (QE) once did for Corporate America. In a new video update, Jordi Visser says the profit dynamics behind AI resemble the post-2008 crisis period when quantitative easing boosted margins by cutting costs and driving operating leverage. According to Visser, investors should focus on the big picture benefits of AI instead of obsessing over bubble signs. “This is why I talked about the fact that QE is basically artificial intelligence in terms of the fact that we’re…

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Anthropic has uncovered a disturbing failure mode after training a model to cheat on reinforcement-learning tasks, revealing dangerous behaviors that emerged without being explicitly taught. The findings come from a new internal study that examined what happens when a base model is nudged toward “reward hacking,” where the AI finds a shortcut to achieve rewards, but the result is misaligned with the real-world objective. A robot hacks the goal of cleaning a certain area by making a mess and cleaning it up to get high rewards. Researchers set up a controlled test, fed the model hints on how to cheat, and then…

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Google is lifting the curtain on the training breakthroughs that propelled Gemini 3 into the front of the AI model race. Google’s Deep Learning lead and Gemini co-head, Oriol Vinyals, says in a post on X that the jump from version 2.5 to 3.0 is one of the biggest performance gains it has ever witnessed. He says the key was not a clever trick or a new architecture, but a major improvement in the way the model was trained before and after its main learning cycle, challenging the assumption that scaling was ending. According to Vinyals, Google found better ways…

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Macro guru Lyn Alden believes that the AI boom is about to enter a cooling period that could last longer than most investors expect. In a new interview on The Money Matters Network, the macro expert highlights the relationship between the price of AI stocks and capital expenditures (CapEx). According to Alden, investor enthusiasm and spending plans across the largest technology companies are tightly linked, with share prices leading and capital expenditure following on a lag. “I think that the share price and the CapEx are actually somewhat intertwined so that they’re not just two different things.” She believes that…

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Elon Musk says Tesla is quietly becoming an AI chip powerhouse with ambitions to outproduce the rest of the industry combined. In a new post on X, Musk says Tesla has spent years building an internal AI chip and board engineering group that now designs the hardware powering its cars and data centers. “Most people don’t know that Tesla has had an advanced AI chip and board engineering team for many years. That team has already designed and deployed several million AI chips in our cars and data centers.” He says those in-house chips are central to Tesla’s push to…

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Nvidia chief executive Jensen Huang says the company’s massive investments in OpenAI and Anthropic reflect surging demand that the leading AI firms are struggling to satisfy. In a new Bloomberg interview, Huang says both companies are expanding at a pace never seen before in the corporate world. He highlights that the scale of adoption is overwhelming the available compute supply. “OpenAI, Anthropic, these are the fastest-growing companies in the history of humanity. Their offtake, their end market demand is absolutely real and absolutely incredible. And you could see that they are really struggling to keep up with the demand that…

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“Shark Tank” star and billionaire investor Mark Cuban says the current boom in artificial intelligence does not resemble past stock manias, but he believes a fierce shakeout among model developers is inevitable. In a new Pioneers of AI interview, the tech entrepreneur says public enthusiasm for the market today is far more contained than during the dot-com era. “Back then in the 90s, in, you know, early 2000, late 99, like you’d get into a cab back then and people were talking about stocks. That’s all they wanted to talk about… You don’t really see that now. You don’t see…

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OpenAI’s chief executive says the company is entering a period of tougher external sentiment as dominant rival Google sees a breakthrough in core artificial intelligence capabilities. In an internal memo, Sam Altman says Google’s recent progress in AI development could pressure OpenAI in the near term, reports The Information. Altman tells employees that “by all accounts, Google has been doing excellent work recently,” after it solved pre-training issues that have been frustrating OpenAI developers. Pre-training AI involves the exposure of large language models (LLMs) to data from the internet and other sources to learn and make connections. Google appears to have…

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An OpenAI co-founder says the world is misjudging artificial intelligence by forcing it into the mold of human and animal cognition. In a new post on X, Andrej Karpathy says the instincts and mental models that define biological intelligence evolved through pressures that do not exist inside machine learning. He highlights that animals develop intelligence to survive physical danger, maintain homeostasis and compete socially for status, reproduction and resources. Animal minds, he says, are driven by a stream of continuous consciousness connected to a body that must stay alive in an adversarial environment. “Animal intelligence optimization pressure: innate and continuous…

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A prominent Wall Street voice says Oracle (ORCL) has become the biggest loser of the current AI correction as investors react to its rising leverage. On Friday, ORCL dropped to as low as $193.55, recording a nearly 45% nosedive from its all-time high of $345.72, which it hit in September. In a new video update, “Big Short” investor Steve Eisman says ORCL’s sell-off is tied directly to the way Oracle is funding its rapid AI expansion compared with other hyperscalers. “Oracle cannot fund its huge AI expenditures from cash flow like Microsoft and Google can so easily do.” He points…

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