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Startups are betting on AI to predict the future

In early September, two AI models made history when they took the top spots in the Metaculus Cup, a competition among prediction champions, both human and nonhuman

Startups are betting on AI to predict the future

Multiple startups are optimistic about harnessing artificial intelligence (AI) to make more accurate predictions across a range of subjects, from financial markets to cultural events. According to Dan Schwarz, co-founder of FutureSearch, a forecasting firm, by 2030, the organization anticipates traditional decision-making methods will seem as primitive as the Stone Age.

AI models have already matched the proficiency of the best human superforecasters, who surpass ordinary individuals in their predictions. In September, AI models achieved top positions in the Metaculus Cup, a competition that pits human and non-human prediction experts against each other. Superforecaster Tom Liptay, employed by FutureSearch, acknowledges that his role may become obsolete as AI surpasses human capabilities in the coming years.

Theo Summer, co-founder of Preseen, achieved rapid growth by applying AI tools to generate a $1.9 million return on $35 within seven months on the American prediction site, Kalshi. The objective is not to ensure outcomes but to quantify the probability of various interconnected events, such as fluctuations in oil prices and geopolitical conflicts.

Hedge funds traditionally dominate the market, but AI forecasting is expected to further automate financial markets, potentially rendering retail investors obsolete in the near future due to the accessibility of advanced AI tools. AI forecasting systems are not limited to finance; they are also applied in government policy, corporate decision-making, scientific research, and insurance risk assessments.

While these tools offer valuable insights, concerns exist about potential misuse by authoritarian regimes like Russia or China.

Written by urgent.news from The Hindu - Sci-Tech's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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