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محتوای ارائه شده توسط Alan Pentz and Corner Alliance. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Alan Pentz and Corner Alliance یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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The Path to Human-Level AI: Insights from AGI Pioneer Peter Voss of Aigo.ai

37:14
 
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Manage episode 428137824 series 3512115
محتوای ارائه شده توسط Alan Pentz and Corner Alliance. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Alan Pentz and Corner Alliance یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Peter Voss, CEO of iGo.ai and a pioneer in artificial general intelligence (AGI), joins Max Romanik to discuss the future of AI development. With over 20 years dedicated to AGI research, Peter provides insights into the fundamental differences between narrow AI and AGI, emphasizing the limitations of current big data approaches and the potential of cognitive architectures.

The conversation covers a wide range of topics, including:
  • The evolution of AI and Peter's journey into AGI research
  • Key distinctions between narrow AI, current deep learning systems, and true AGI
  • The potential of AGI to transform industries and solve complex problems
  • Challenges in AI regulation and the need for a balanced approach
  • The concept of "personal, personal assistants" as a vision for future AI interaction
  • Concerns about AI safety and the importance of diverse perspectives in the debate
  • The role of self-awareness in artificial intelligence
  • Potential impacts of AGI on decision-making, privacy, and human flourishing

Peter argues for a shift towards cognitive AI approaches, which he believes will lead to more efficient, adaptable, and truly intelligent systems. He expresses skepticism about heavy-handed government regulation and instead advocates for enforcing existing laws and fostering competition in AI development.

Throughout the discussion, Peter emphasizes the transformative potential of AGI to address complex global challenges, enhance human decision-making, and usher in an era of "radical abundance." He also calls for a more balanced dialogue on AI risks and benefits, noting that current discussions are often skewed towards exaggerated fears.

If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcasts, Spotify and Google Podcasts, instructions on how to do this are here.

Tune in here:


Connect with the host and guests here:

Tune in here:

Previous guests include: Jesse Anglen of Rapid Innovation, Maya Sherman of Embassy of Israel In India, Alex Wirth of Quorum, Mfon Apkan of Methodist University, Dr. Eva-Marie Muller-Stuler of Ernst & Young, and Christophe Foulon

Check out our Top 3 episodes:

If you are interested in joining AI, Government, and the Future as a guest, please complete this form: fame.so/cai-guest

AI, Government, and the Future is handcrafted by our friends over at: fame.so
  continue reading

57 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 428137824 series 3512115
محتوای ارائه شده توسط Alan Pentz and Corner Alliance. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Alan Pentz and Corner Alliance یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Peter Voss, CEO of iGo.ai and a pioneer in artificial general intelligence (AGI), joins Max Romanik to discuss the future of AI development. With over 20 years dedicated to AGI research, Peter provides insights into the fundamental differences between narrow AI and AGI, emphasizing the limitations of current big data approaches and the potential of cognitive architectures.

The conversation covers a wide range of topics, including:
  • The evolution of AI and Peter's journey into AGI research
  • Key distinctions between narrow AI, current deep learning systems, and true AGI
  • The potential of AGI to transform industries and solve complex problems
  • Challenges in AI regulation and the need for a balanced approach
  • The concept of "personal, personal assistants" as a vision for future AI interaction
  • Concerns about AI safety and the importance of diverse perspectives in the debate
  • The role of self-awareness in artificial intelligence
  • Potential impacts of AGI on decision-making, privacy, and human flourishing

Peter argues for a shift towards cognitive AI approaches, which he believes will lead to more efficient, adaptable, and truly intelligent systems. He expresses skepticism about heavy-handed government regulation and instead advocates for enforcing existing laws and fostering competition in AI development.

Throughout the discussion, Peter emphasizes the transformative potential of AGI to address complex global challenges, enhance human decision-making, and usher in an era of "radical abundance." He also calls for a more balanced dialogue on AI risks and benefits, noting that current discussions are often skewed towards exaggerated fears.

If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcasts, Spotify and Google Podcasts, instructions on how to do this are here.

Tune in here:


Connect with the host and guests here:

Tune in here:

Previous guests include: Jesse Anglen of Rapid Innovation, Maya Sherman of Embassy of Israel In India, Alex Wirth of Quorum, Mfon Apkan of Methodist University, Dr. Eva-Marie Muller-Stuler of Ernst & Young, and Christophe Foulon

Check out our Top 3 episodes:

If you are interested in joining AI, Government, and the Future as a guest, please complete this form: fame.so/cai-guest

AI, Government, and the Future is handcrafted by our friends over at: fame.so
  continue reading

57 قسمت

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