Podcast thumbnail for Hello SundAI - our world through the lense of AI

Hello SundAI - our world through the lense of AI

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by Roger Basler de Roca

4.0(10 reviews)
53 episodes
Updated Daily
Accepts GuestsHas Sponsors
37

Podcast Authority

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PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality55
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YouTube0
Engagement50

Podcast Overview

"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

Language

🇺🇲

Publishing Since

3/28/2019

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37

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality55
Social0
YouTube0
Engagement50
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11
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excellent
Episode Length
23 minutes
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good
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3.0/5

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Recent Episodes

Episode thumbnail for The Illusion of Thinking: Decoding AI's Reasoning Limits

August 24, 2025

The Illusion of Thinking: Decoding AI's Reasoning Limits

<p><strong>In this episode, we enter the world of Large Reasoning Models (LRMs).</strong> </p><p>We explore advanced AI systems such as OpenAI’s o1/o3, DeepSeek-R1, and Claude 3.7 Sonnet Thinking—models that generate detailed &quot;thinking processes&quot; (Chain-of-Thought, CoT) with built-in self-reflection before answering. </p><p>These systems promise a new era of problem-solving. Yet, their true capabilities, scaling behavior, and limitations remain only partially understood.</p><p>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. </p><p>These environments allow precise control over task complexity while avoiding data contamination issues that often plague established benchmarks in mathematics and coding.</p><p>A striking finding: <strong>LRMs face a complete accuracy collapse beyond certain complexity thresholds.</strong> Paradoxically, their reasoning effort (measured in &quot;thinking tokens&quot;) first increases with complexity, only to decline after a point—even when token budgets are sufficient.</p><p>We identify three distinct performance regimes:</p><ul><li><p><strong>Low-complexity tasks</strong> – where standard Large Language Models (LLMs) still outperform LRMs.</p></li><li><p><strong>Medium-complexity tasks</strong> – where LRMs’ additional &quot;thinking&quot; shows a clear advantage.</p></li><li><p><strong>High-complexity tasks</strong> – where both LLMs and LRMs collapse entirely.</p></li></ul><p>Another challenge is <strong>“overthinking.”</strong> 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 <strong>exact computation</strong>: they fail to leverage explicit algorithms, even when provided, and show inconsistent reasoning across different puzzle types.</p><p>This episode invites you to rethink assumptions about AI’s capacity for <strong>generalizable reasoning</strong>. What does it truly mean for a machine to &quot;think&quot; under increasing complexity? And how should these insights shape the next generation of AI design and deployment?</p><p> </p><p>Sources: Shojaee, P., Mirzadeh, I., Alizadeh, K., Horton, M., Bengio, S., &amp; Farajtabar, M. (2025). <strong>The illusion of thinking: Understanding the strengths and limitations of reasoning models via the lens of problem complexity</strong>. (Unpublished manuscript). <a href="https://arxiv.org/abs/2506.06941" target="_blank" rel="noopener noreferer">https://arxiv.org/abs/2506.06941</a><br> </p><p><strong>Disclaimer: </strong>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.</p><p><a href="https://rogerbasler.ch/en/contact/">⁠https://rogerbasler.ch/en/contact/</a></p>

Episode thumbnail for AI Cannot Think: When AI Reasoning Models Hit Their Limit

June 9, 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.

Episode thumbnail for The Art and Science of Prompt Engineering by Google

April 27, 2025

The Art and Science of Prompt Engineering by Google

<p>In this show, we break down the art of crafting prompts that help AI deliver <strong>precise, useful, and reliable results</strong>.</p><p>Whether you&#39;re summarising text, answering questions, generating code, or translating content — we’ll show you how to guide LLMs effectively.</p><p>We explore real-world techniques, from simple <strong>zero-shot prompts</strong> to advanced strategies like <strong>Chain of Thought</strong>, <strong>Tree of Thoughts</strong>, and <strong>ReAct</strong>, combining reasoning with external tools.</p><p>We’ll also dive into how to control AI output — tweaking things like <strong>temperature</strong>, <strong>token limits</strong>, and <strong>sampling settings</strong> — to shape your results.</p><p>Plus, we’ll share best practices for writing, testing, and refining prompts — including tips on examples, formatting, and structured outputs like <strong>JSON</strong>.</p><p>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.</p><p>Let’s unlock the full potential of AI — one prompt at a time.<br></p><p><strong>Disclaimer: </strong>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.</p><p><a href="https://rogerbasler.ch/en/contact/">⁠https://rogerbasler.ch/en/contact/</a></p>

53 total episodes available

Recent guests on Hello SundAI - our world through the lense of AI

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Zaphir

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Lodge, J. M.

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Lisec, J.

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McGrath, D.

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Khosravi, H.

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Frequently asked questions

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What is 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

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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