Hello SundAI - our world through the lense of AI

About Hello SundAI - our world through the lense of AI

"Hello SundAI - Our World Through the Lens of AI," is your twice-weekly dive into how artificial intelligence shapes our digital landscape. Hosted by Roger and SundAI the AI, this podcast brings you practical tips, cutting-edge tools, and insightful interviews every Sunday and Wednesday morning. Whether you're a seasoned tech enthusiast or just starting to explore the digital domain, tune in to discover innovative ways to get things done and propel yourself forward in a world increasingly driven by AI. Our hashtag is: #helloSundai

Publisher

Roger Basler de Roca

Category

business

Language

en

Explicit

No

First episode

28 Mar 2019

Latest episode

24 Aug 2025

Latest episodes

53 episodes in the feed.

1. 

   24 Aug 2025

   The Illusion of Thinking: Decoding AI's Reasoning Limits

   In this episode, we enter the world of Large Reasoning Models (LRMs). We explore advanced AI systems such as OpenAI’s o1/o3, DeepSeek-R1, and Claude 3.7 Sonnet Thinking—models that generate detailed "thinking processes" (Chain-of-Thought, CoT) with built-in self-reflection before answering. These systems promise a new era of problem-solving. Yet, their true capabilities, scaling behavior, and limitations remain only partially understood. By conducting systematic investigations in controlled puzzle environments—including the Tower of Hanoi, Checker Jumping, River Crossing, and Blocks World—we uncover both the strengths and surprising weaknesses of LRMs. These environments allow precise control over task complexity while avoiding data contamination issues that often plague established benchmarks in mathematics and coding. A striking finding: LRMs face a complete accuracy collapse beyond certain complexity thresholds. Paradoxically, their reasoning effort (measured in "thinking tokens") first increases with complexity, only to decline after a point—even when token budgets are sufficient. We identify three distinct performance regimes: Low-complexity tasks – where standard Large Language Models (LLMs) still outperform LRMs. Medium-complexity tasks – where LRMs’ additional "thinking" shows a clear advantage. High-complexity tasks – where both LLMs and LRMs collapse entirely. Another challenge is “overthinking.” On simpler problems, LRMs often find correct solutions early but continue to pursue false alternatives, wasting computational resources. Even more surprising is their weakness in exact computation: they fail to leverage explicit algorithms, even when provided, and show inconsistent reasoning across different puzzle types. This episode invites you to rethink assumptions about AI’s capacity for generalizable reasoning. What does it truly mean for a machine to "think" under increasing complexity? And how should these insights shape the next generation of AI design and deployment? Sources: Shojaee, P., Mirzadeh, I., Alizadeh, K., Horton, M., Bengio, S., & Farajtabar, M. (2025). The illusion of thinking: Understanding the strengths and limitations of reasoning models via the lens of problem complexity. (Unpublished manuscript). https://arxiv.org/abs/2506.06941 (https://arxiv.org/abs/2506.06941) Disclaimer: This podcast is generated by Roger Basler de Roca (contact) by the use of AI. The voices are artificially generated and the discussion is based on public research data. I do not claim any ownership of the presented material as it is for education purpose only. ⁠https://rogerbasler.ch/en/contact/ (https://rogerbasler.ch/en/contact/)

2. 

   9 Jun 2025

   AI Cannot Think: When AI Reasoning Models Hit Their Limit

   This episode explores a new study that investigates the capabilities and limitations of Large Reasoning Models using puzzle environments, revealing surprising findings about their performance across varying complexities and highlighting potential scaling limits in AI reasoning.

3. 

   27 Apr 2025

   The Art and Science of Prompt Engineering by Google

   In this show, we break down the art of crafting prompts that help AI deliver precise, useful, and reliable results. Whether you're summarising text, answering questions, generating code, or translating content — we’ll show you how to guide LLMs effectively. We explore real-world techniques, from simple zero-shot prompts to advanced strategies like Chain of Thought, Tree of Thoughts, and ReAct, combining reasoning with external tools. We’ll also dive into how to control AI output — tweaking things like temperature, token limits, and sampling settings — to shape your results. Plus, we’ll share best practices for writing, testing, and refining prompts — including tips on examples, formatting, and structured outputs like JSON. Whether you’re just getting started or already deep into advanced prompting, this podcast will help you sharpen your skills and stay ahead of the curve. Let’s unlock the full potential of AI — one prompt at a time. Disclaimer: This podcast is generated by Roger Basler de Roca (contact) by the use of AI. The voices are artificially generated and the discussion is based on public research data. I do not claim any ownership of the presented material as it is for education purpose only. ⁠https://rogerbasler.ch/en/contact/ (https://rogerbasler.ch/en/contact/)

Who has been a guest on Hello SundAI - our world through the lense of AI

Names identified in recent episode analyses. Showing up to five guests.

• Zaphir
• Lodge, J. M.
• Lisec, J.
• McGrath, D.
• Khosravi, H.

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

3.0 / 5

3 ratings

Spotify

4.4 / 5

7 ratings

Podcast Authority Score: 37 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

55

Social presence

0

YouTube

0

Engagement

50

Contact Hello SundAI - our world through the lense of AI

Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.