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We help founders make something people want.
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AGI: The Great Timeline Debate
Manage episode 454948542 series 3578824
コンテンツは Emily Laird によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Emily Laird またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
How long until AGI becomes a reality? Ten years? Fifty? Or is it as far-fetched as teaching your dog to do taxes? In this episode, host Emily Laird tackles the messy business of predicting AGI’s arrival. From optimistic short-term forecasts to the philosophical long-haul debates, we explore expert perspectives, historical misses, and what’s keeping timelines so murky.
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about AGI than you did before!
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Manage episode 454948542 series 3578824
コンテンツは Emily Laird によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Emily Laird またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
How long until AGI becomes a reality? Ten years? Fifty? Or is it as far-fetched as teaching your dog to do taxes? In this episode, host Emily Laird tackles the messy business of predicting AGI’s arrival. From optimistic short-term forecasts to the philosophical long-haul debates, we explore expert perspectives, historical misses, and what’s keeping timelines so murky.
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about AGI than you did before!
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continue reading
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…
continue reading
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…
continue reading
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…
continue reading
This is the audio podcast version of Troy Hunt's weekly update video published here: https://www.troyhunt.com/tag/weekly-update/
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continue reading
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continue reading
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