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Threads, the emerging social media platform, has recently introduced a new feature displaying real-time scores for in-progress sporting events, starting with NBA games. This move could potentially drive more real-time engagement on the platform and attract a larger audience from competitor X. However, there are critical errors in the implementation that might hinder Threads’ ability
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The notion of emergent capabilities in large language models (LLMs) has recently captured the attention of the AI research community. Researchers have observed what they describe as breakthrough behavior in the performance of LLMs, suggesting that there are sudden leaps in their abilities that defy conventional expectations. However, a new study by a team of
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The Financial Times recently unveiled a new generative AI chatbot called Ask FT aimed at providing curated natural language responses to subscribers’ queries. This AI bot differentiates itself from others in the market by drawing answers from the outlet’s extensive years of published information rather than from questionable sources. However, while the concept of Ask
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