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Content provided by Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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Teaching AI to Think: Reasoning, Mistakes & Learning with Alex Dimakis - Episode 11: The Effortless Podcast

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Manage episode 469161942 series 3613634
Content provided by Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, Amit and Dheeraj dive deep into the world of AI reasoning models with Alex, an AI researcher involved in OpenThinker and OpenThoughts. They explore two recent groundbreaking papers—SkyT1 and S1 (Simple Test Time Scaling)—that showcase new insights into how large language models (LLMs) develop reasoning capabilities.

From structured reasoning vs. content accuracy to fine-tuning efficiency and the role of active learning, this conversation highlights the shift from prompt engineering to structured supervised fine-tuning (SFT) and post-training techniques. The discussion also touches on open weights, open data, and open-source AI, revealing the evolving AI landscape and its impact on startups, research, and beyond.

Key Topics & Chapter Markers

  • [00:00] Introduction – Why reasoning models matter & today's agenda
  • [05:15] Breaking Down SkyT1 – Structure vs. Content in reasoning
  • [15:45] Open weights, open data, and open-source AI
  • [22:30] Fine-tuning vs. RL – When do you need reinforcement learning?
  • [30:10] S1 and the power of test-time scaling
  • [40:25] Budget forcing – Making AI "think" more efficiently
  • [50:50] RAG vs. SFT – What should startups use?
  • [01:05:30] Active learning – AI asking the right questions
  • [01:15:00] Final thoughts – Where AI reasoning is heading next

Resources & Links

📄 Papers Discussed:

Hosts:

Dheeraj Pandey: Co-founder and CEO at DevRev, formerly Co-founder and CEO of Nutanix. A tech visionary with a deep interest in AI and systems thinking.

Amit Prakash: Co-founder and CTO at ThoughtSpot, formerly at Google AdSense and Bing, with extensive expertise in analytics and large-scale systems.

Guest:

Alex Dimakis: Professor at UC Berkeley and co-founder of Bespoke Labs, Alex has made significant contributions to deep learning, machine learning infrastructure, and the development of AI reasoning frameworks.

Follow the Hosts and the Guest:

Dheeraj Pandey:

LinkedIn - https://www.linkedin.com/in/dpandey

Twitter - https://x.com/dheeraj

Amit Prakash:

LinkedIn - https://www.linkedin.com/in/amit-prakash-50719a2/

Twitter - https://x.com/amitp42

Alex Dimakis:

LinkedIn - https://www.linkedin.com/in/alex-dimakis-b1b20320

Twitter - https://x.com/AlexGDimakis

Share Your Thoughts:

Have questions, comments, or ideas for future episodes? Email us at [email protected]

Don’t forget to Like, Comment, and Subscribe for more in-depth discussions on AI, technology, and innovation!

  continue reading

16 episodes

Artwork
iconShare
 
Manage episode 469161942 series 3613634
Content provided by Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, Amit and Dheeraj dive deep into the world of AI reasoning models with Alex, an AI researcher involved in OpenThinker and OpenThoughts. They explore two recent groundbreaking papers—SkyT1 and S1 (Simple Test Time Scaling)—that showcase new insights into how large language models (LLMs) develop reasoning capabilities.

From structured reasoning vs. content accuracy to fine-tuning efficiency and the role of active learning, this conversation highlights the shift from prompt engineering to structured supervised fine-tuning (SFT) and post-training techniques. The discussion also touches on open weights, open data, and open-source AI, revealing the evolving AI landscape and its impact on startups, research, and beyond.

Key Topics & Chapter Markers

  • [00:00] Introduction – Why reasoning models matter & today's agenda
  • [05:15] Breaking Down SkyT1 – Structure vs. Content in reasoning
  • [15:45] Open weights, open data, and open-source AI
  • [22:30] Fine-tuning vs. RL – When do you need reinforcement learning?
  • [30:10] S1 and the power of test-time scaling
  • [40:25] Budget forcing – Making AI "think" more efficiently
  • [50:50] RAG vs. SFT – What should startups use?
  • [01:05:30] Active learning – AI asking the right questions
  • [01:15:00] Final thoughts – Where AI reasoning is heading next

Resources & Links

📄 Papers Discussed:

Hosts:

Dheeraj Pandey: Co-founder and CEO at DevRev, formerly Co-founder and CEO of Nutanix. A tech visionary with a deep interest in AI and systems thinking.

Amit Prakash: Co-founder and CTO at ThoughtSpot, formerly at Google AdSense and Bing, with extensive expertise in analytics and large-scale systems.

Guest:

Alex Dimakis: Professor at UC Berkeley and co-founder of Bespoke Labs, Alex has made significant contributions to deep learning, machine learning infrastructure, and the development of AI reasoning frameworks.

Follow the Hosts and the Guest:

Dheeraj Pandey:

LinkedIn - https://www.linkedin.com/in/dpandey

Twitter - https://x.com/dheeraj

Amit Prakash:

LinkedIn - https://www.linkedin.com/in/amit-prakash-50719a2/

Twitter - https://x.com/amitp42

Alex Dimakis:

LinkedIn - https://www.linkedin.com/in/alex-dimakis-b1b20320

Twitter - https://x.com/AlexGDimakis

Share Your Thoughts:

Have questions, comments, or ideas for future episodes? Email us at [email protected]

Don’t forget to Like, Comment, and Subscribe for more in-depth discussions on AI, technology, and innovation!

  continue reading

16 episodes

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