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What the... Liquid Neural Networks
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Sisällön tarjoaa Joseph Raczynski. Joseph Raczynski tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
In the ever-evolving landscape of artificial intelligence (AI), it's easy to be swept up by utopian dreams or dystopian fears. But what does the future of AI really hold? Srinivas Narayanan, Vice President of Applied AI at OpenAI, recently shared his insights at the "From the Labs of OpenAI" session, offering a nuanced perspective on where AI is heading and the challenges we face.
The Inflection Point of AI
Narayanan kicked off the session by acknowledging the polarized views surrounding AI. On one hand, there are those who believe AI will solve all our problems. On the other, there are concerns about AI exacerbating existing issues. This dichotomy isn't new. Throughout history, technological advancements have often sparked both excitement and fear.
"Large language models and our deeper understanding of scaling laws are driving the current inflection point in AI," Narayanan explained. This newfound capability makes it seem like Artificial General Intelligence (AGI) might finally be within reach. However, the journey to this point has been far from linear, and the future remains uncertain.
This is an AI assisted voice conversation. The content comes from a blog written by Joseph Raczynski.
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