Artwork

Data Driven에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Data Driven 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Player FM -팟 캐스트 앱
Player FM 앱으로 오프라인으로 전환하세요!

Why Simulating Reality Is the Key to Advancing Artificial Intelligence

53:38
 
공유
 

Manage episode 508419019 series 1450892
Data Driven에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Data Driven 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this episode, we're joined once again by Christopher Nuland, technical marketing manager at Red Hat, whose globe-trotting schedule rivals the complexity of a Kubernetes deployment. Christopher sits down with hosts Bailey and Frank La Vigne to explore the frontier of artificial intelligence—from simulating reality and continuous learning models to debates around whether we really need humanoid robots to achieve superintelligence, or if a convincingly detailed simulation (think Grand Theft Auto, but for AI) might get us there first.

Christopher takes us on a whirlwind tour of Google DeepMind’s pioneering alpha projects, the latest buzz around simulating experiences for AI, and the metaphysical rabbit hole of iRobot and simulation theory. We dive into why the next big advancement in AI might not come from making models bigger, but from making them better at simulating the world around them. Along the way, we tackle timely topics in AI governance, security, and the ethics of continuous learning, with plenty of detours through pop culture, finance, and grassroots tech conferences.

If you’re curious about where the bleeding edge of AI meets science fiction, and how simulation could redefine the race for superintelligence, this episode is for you. Buckle up—because reality might just be the next thing AI learns to hack.

Time Stamps

00:00 Upcoming European and US Conferences

05:38 AI Optimization Plateau

08:43 Simulation's Role in Spatial Awareness

10:00 Evolutionary Efficiency of Human Brains

16:30 "Robotics Laws and Contradictions"

17:32 AI, Paperclips, and Robot Ethics

22:18 Troubleshooting Insight Experience

25:16 Challenges in Training Deep Learning Models

27:15 Challenges in Continuous Model Training

32:04 AI Gateway for Specialized Requests

36:54 Open Source and Rapid Innovation

38:10 Industry-Specific AI Breakthroughs

43:28 Misrepresented R&D Success Rates

44:51 POC Challenges: Meaningful Versus Superficial

47:59 "Crypto's Bumpy Crash"

52:59 AI: Beyond Models to Simulation

  continue reading

306 에피소드

Artwork
icon공유
 
Manage episode 508419019 series 1450892
Data Driven에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Data Driven 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this episode, we're joined once again by Christopher Nuland, technical marketing manager at Red Hat, whose globe-trotting schedule rivals the complexity of a Kubernetes deployment. Christopher sits down with hosts Bailey and Frank La Vigne to explore the frontier of artificial intelligence—from simulating reality and continuous learning models to debates around whether we really need humanoid robots to achieve superintelligence, or if a convincingly detailed simulation (think Grand Theft Auto, but for AI) might get us there first.

Christopher takes us on a whirlwind tour of Google DeepMind’s pioneering alpha projects, the latest buzz around simulating experiences for AI, and the metaphysical rabbit hole of iRobot and simulation theory. We dive into why the next big advancement in AI might not come from making models bigger, but from making them better at simulating the world around them. Along the way, we tackle timely topics in AI governance, security, and the ethics of continuous learning, with plenty of detours through pop culture, finance, and grassroots tech conferences.

If you’re curious about where the bleeding edge of AI meets science fiction, and how simulation could redefine the race for superintelligence, this episode is for you. Buckle up—because reality might just be the next thing AI learns to hack.

Time Stamps

00:00 Upcoming European and US Conferences

05:38 AI Optimization Plateau

08:43 Simulation's Role in Spatial Awareness

10:00 Evolutionary Efficiency of Human Brains

16:30 "Robotics Laws and Contradictions"

17:32 AI, Paperclips, and Robot Ethics

22:18 Troubleshooting Insight Experience

25:16 Challenges in Training Deep Learning Models

27:15 Challenges in Continuous Model Training

32:04 AI Gateway for Specialized Requests

36:54 Open Source and Rapid Innovation

38:10 Industry-Specific AI Breakthroughs

43:28 Misrepresented R&D Success Rates

44:51 POC Challenges: Meaningful Versus Superficial

47:59 "Crypto's Bumpy Crash"

52:59 AI: Beyond Models to Simulation

  continue reading

306 에피소드

모든 에피소드

×
 
Loading …

플레이어 FM에 오신것을 환영합니다!

플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.

 

빠른 참조 가이드

탐색하는 동안 이 프로그램을 들어보세요.
재생