Trump misunderstood what a transistor was while criticizing the CHIPS Act during a speech. Instead, he thought tech companies needed to be making "transgenders" to qualify for government funding.

Some of the most misunderstood companies are those that are ramping up or expanding production. Our investment research has recently featured two polymetallic miners that are in the middle of completely transforming their operations, yet remain off the radar and misunderstood by most investors. Our team walks subscribers through the investment case, the catalysts the market hasn't noticed, and the risks.

Perhaps we’ve misunderstood each other regarding my trading approach. Apart from those 2–3 altcoins that I consider worthwhile and am prepared to hold for the long term, all the others are, as far as I’m concerned, simply speculative instruments and rubbish that serve no purpose: I trade them when the chart presents an opportunity, take my profits and move on. I don’t get carried away by the project, the narrative or the community. To put it bluntly: 99 per cent of altcoins are rubbish. But even rubbish, if you know how to read the chart and manage risk, can make you money.

Cantor was often misunderstood, both by his contemporaries and by later historians. Leopold Kronecker strongly opposed Cantor's work and called him a scientific fraud, a renegade, and a “corrupter of youth.” In contrast, Bertrand Russell considered Cantor one of the greatest thinkers of the nineteenth century. David Hilbert praised Cantor's work and believed it had opened new possibilities in mathematics. Henri Poincaré and others disagreed. They considered set theory and Cantor's theory of transfinite numbers a serious problem in mathematics that would eventually need to be corrected. Georg Cantor (1845–1918), the founder of transfinite set theory, was one of the most influential and controversial mathematicians in history. In the late nineteenth century, his work on continuity and infinity led him to develop new ideas that differed greatly from the traditional understanding of infinity in mathematics.

Palantir is still so misunderstood by most. I am such a massive bear on software because I think LLMs are going to render almost all of it useless eventually, but Palantir is the rails for the LLM train to mow down everything. Every corporate AI meeting or talk I’ve attended has the same problem, and ontology is the solution. Most don’t even know yet.