This week, we&#39;re taking a deep dive into the "AI bubble" and exploring why some experts are concerned.<ul><li>Are we in a bubble? Despite massive investments—as much as $40 billion—a recent MIT report reveals that 95% of companies have seen little to no return on their generative AI initiatives.</li><li>We&#39;ll explore why some experts, including Sam Altman, are comparing today’s AI boom to the dot-com bubble, and why the "dream" might be outpacing reality.</li><li>Why do so many LLMs rely on Reddit for 40% of their data? We discuss the good, the bad, and the ugly of this information source.</li><li>A look at the surprising chart showing a dramatic drop in ChatGPT usage after June 6, suggesting that a significant number of users might be using it for "homework."</li><li>Is AI responsible for recent layoffs, or are companies using it as an excuse to cut costs? We break down the likely combination of both.</li><li>We&#39;ll get my final thoughts on whether this is a true bubble ready to pop or just a much-needed slowdown in the pace of AI innovation.</li></ul>@KTrimbach42 @onechancefreedm<a href="https://x.com/mazeincoding/status/1952787361768587741" target="_blank" rel="noopener">https://x.com/mazeincoding/status/1952787361768587741</a>

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151 - The AI bubble

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