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    In 2023, researchers introduced new benchmarks—MMMU, GPQA, and SWE-bench—to test the limits of advanced AI systems. Just a year later, performance sharply increased: scores rose by 18.8, 48.9, and 67.3 percentage points on MMMU, GPQA, and SWE-bench, respectively. Beyond benchmarks, AI systems made major strides in generating high-quality video, and in some settings, language model agents even outperformed humans in programming tasks with limited time budgets.
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    Mr. Lynch developed his investment philosophy at Fidelity Management and Research, and gained his considerable fame managing Fidelity’s Magellan Fund. The fund was among the highest-ranking stock funds throughout Mr. Lynch’s tenure, which began in 1977 at the fund’s launching, and ended in 1990, when Mr. Lynch retired. Peter Lynch’s approach is strictly bottom-up, with selection from among companies with which the investor is familiar, and then through fundamental analysis that emphasizes a thorough understanding of the company, its prospects, its competitive environment, and whether the stock can be purchased at a reasonable price.
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    Industry continues to dominate frontier AI research. AI support for scientific progress accelerates even further. However, it trails behind on more complex tasks like competition-level mathematics, visual commonsense reasoning and planning
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    No modern-day investment "sage" is better known than Peter Lynch. Not only has his investment approach successfully passed the real-world performance test, but he strongly believes that individual investors have a distinct advantage over Wall Street and large money managers when using his approach. Individual investors, he feels, have more flexibility in following this basic approach because they are unencumbered by bureaucratic rules and short-term performance concerns.