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Exploring the AI Landscape · Artificial Intelligence Exposed

• 0:07
  Speaker 1: Welcome everyone to today's episode, where we dive deep into
• 0:11
  Speaker 1: the fascinating world of AI, inspired by the twenty twenty
• 0:14
  Speaker 1: four AI Index Report. I mean, wow, this year's edition
• 0:18
  Speaker 1: is packed with insights that are just mind blowing. We're
• 0:20
  Speaker 1: talking about AI's growing influence on society, and let me
• 0:23
  Speaker 1: tell you, it's not just about robots taking over our jobs.
• 0:27
  Speaker 1: It's about how AI is reshaping everything from our daily
• 0:29
  Speaker 1: lives to global economies. So buckle up, because we're in
• 0:33
  Speaker 1: for a wild ride.
• 0:37
  Speaker 2: Wow that sounds super interesting. So, like, what are some
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  Speaker 2: of the key takeaways from this report? I mean, I've
• 0:44
  Speaker 2: heard a bit about AI, but it's kind of overwhelming, right.
• 0:49
  Speaker 1: Absolutely. One of the standout points is that AI has
• 0:53
  Speaker 1: actually surpassed human performance in certain tasks like image classification.
• 0:57
  Speaker 1: Imagine a computer being able to identify all objects in
• 1:00
  Speaker 1: a photo better than you can. But here's the kicker.
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  Speaker 1: When it comes to complex tasks like advanced mathematics, AI
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  Speaker 1: still struggles. It's like having a super fast car that
• 1:11
  Speaker 1: can't navigate a tricky mountain road.
• 1:15
  Speaker 2: That's a really cool analogy. So it's like AI is
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  Speaker 2: great at some things, but not so much at others.
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  Speaker 2: I mean can you give me an example of a
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  Speaker 2: task where it really shines. Sure.
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  Speaker 1: Think about how AI is used in healthcare. For instance,
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  Speaker 1: AI algorithms can analyze medical images like X rays or
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  Speaker 1: MRIs and detect anomalies that a human eye might miss.
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  Speaker 1: It's like having a super sleuth detective on your team,
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  Speaker 1: but when it comes to diagnosing a complex condition, it
• 1:46
  Speaker 1: still needs a human doctor to make the final call.
• 1:50
  Speaker 2: Oh wow, that's fascinating. So it's like AI is a
• 1:53
  Speaker 2: really smart assistant but not quite ready to take the lead. Right.
• 1:57
  Speaker 2: What about the research side of things? I heard there's
• 1:59
  Speaker 2: a big different between industry and academia and AI research.
• 2:04
  Speaker 1: Exactly. The report highlights that the industry is leading the
• 2:07
  Speaker 1: charge in AI research, producing fifty one notable machine learning
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  Speaker 1: models compared to academias fifteen in twenty twenty three. It's
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  Speaker 1: like a race where the corporate teams have the best
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  Speaker 1: trainers and resources, while the academic teams are still figuring
• 2:21
  Speaker 1: out their game plan.
• 2:24
  Speaker 2: Haha, that's a funny way to put it. So, like,
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  Speaker 2: why do you think that is? Is it just about
• 2:30
  Speaker 2: money or something else?
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  Speaker 1: Great question. It's definitely about funding, but it's also about
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  Speaker 1: the urgency of application companies are racing to innovate and
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  Speaker 1: bring AI solutions to market, while academia often focuses on
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  Speaker 1: foundational research that takes longer to translate into practical applications.
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  Speaker 1: It's like the difference between a fast food restaurant and
• 2:52
  Speaker 1: a gourmet kitchen. One is all about speed and efficiency,
• 2:56
  Speaker 1: while the other is about crafting something exquisite, but it
• 2:59
  Speaker 1: takes time.
• 3:03
  Speaker 2: I can totally see that. Speaking of money, I heard
• 3:07
  Speaker 2: that training these AI models is getting super expensive. Like,
• 3:10
  Speaker 2: what's the deal with that? Oh?
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  Speaker 1: It's wild. For instance, open AI's GPT four is estimated
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  Speaker 1: to have cost around seventy eight million dollars to train,
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  Speaker 1: and Google's Gemini Ultra is even higher at one hundred
• 3:25
  Speaker 1: and ninety one million dollars. It's like building a spaceship.
• 3:28
  Speaker 1: Huge investments for something that can potentially change the world.
• 3:32
  Speaker 1: But you know, with great power comes great responsibility.
• 3:35
  Speaker 2: Right right? So, Like, does that mean only big companies
• 3:40
  Speaker 2: can afford to develop AI? Now? What about smaller startups?
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  Speaker 1: That's a valid concern. While big companies have the resources,
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  Speaker 1: there's a growing trend of democratization in AI. Open source
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  Speaker 1: models and cloud based services are making it easier for
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  Speaker 1: smaller players to enter the game. It's like how the
• 3:58
  Speaker 1: Internet opened up opportunities for small businesses to thrive.
• 4:03
  Speaker 2: Hmm, that's really encouraging. But what about the regulations. I
• 4:07
  Speaker 2: heard there's been a big increase in AI regulations in
• 4:10
  Speaker 2: the US recently.
• 4:13
  Speaker 1: Yes, the report notes that the US saw a jump
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  Speaker 1: from just one regulation in twenty sixteen to twenty five
• 4:19
  Speaker 1: and twenty twenty three. So like, the government finally realized
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  Speaker 1: that we need some rules of the road as we
• 4:24
  Speaker 1: speed down this AI highway. But it's a balancing act.
• 4:29
  Speaker 1: Too many regulations could stifle innovation, while too few could
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  Speaker 1: lead to chaos.
• 4:36
  Speaker 2: Wow, that's a lot to think about. So it's like
• 4:38
  Speaker 2: we're in this exciting yet kind of scary time with AI. Right,
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  Speaker 2: what do you think the future holds?
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  Speaker 1: Absolutely, the future is both thrilling and uncertain. BILI is
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  Speaker 1: accelerating scientific progress and enhancing productivity, but we need to
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  Speaker 1: ensure that we're developing it responsibly. It's like being on
• 4:58
  Speaker 1: the edge of a cliff. There's a breath taking view,
• 5:01
  Speaker 1: but you have to be careful not to fall.
• 5:05
  Speaker 2: Hmmm. I love that metaphor, So, like, what can we
• 5:08
  Speaker 2: do as individuals to stay informed and engaged with these changes.
• 5:13
  Speaker 1: Great question. Staying curious, educating ourselves, and advocating for responsible
• 5:19
  Speaker 1: AI practices are keys. It's like being part of a
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  Speaker 1: community garden. Everyone has a role to play in nurturing it.
• 5:28
  Speaker 2: Haha. I love that a community garden of ai. This
• 5:32
  Speaker 2: has been such an eye opening conversation. Thanks for sharing
• 5:35
  Speaker 2: all this amazing information.