Embedded AI - Intelligence at the Deep Edge

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In this episode, we explore the shift from traditional web browsing to AI-powered conversational search. What does this mean for truth, transparency, and the way we think. As chatbots become the new gateway to information, content creators face economic disruption: “zero-click” answers threaten ad revenue, pushing the world from SEO to Generative Engine Optimization (GEO). But the deeper concern lies in trust. Large l...

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This episode dives into one of the most debated questions in AI today: Are large language models actually reasoning, or are they just incredibly sophisticated parrots?

Our discussion traces two schools of thought. On one side, new ideas like grokking and adaptive reward systems suggest that AI may soon cross the threshold into true problem-solving—discovering novel solutions it was never explicitly trained on. On the o...

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In a world where AI can write code in seconds, what is the true role of a human engineer? Welcome to Embedded AI, the podcast that explores what is required to build robust, secure, and scalable software with artificial intelligence.

Discover why up to 45% of AI code contains security vulnerabilities and why a mandatory, human-led audit is your most critical line of defense. We'll also dive deep into technical arc...

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In this episode, we explore why today’s AI agents, despite huge advances, still fall short of true, unsupervised autonomy. We break down the findings from two key studies that map out both the architectural and operational barriers to fully independent systems.

First, we describe the four levels of agent autonomy, showing why most current systems are stuck at Level 2 or 3. We discuss deep technical constraints — short ...

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In a move that's sending shockwaves through the maker community, Qualcomm has officially acquired Arduino. In this episode, we look at one of the biggest tech stories of October 2025.

First, we explore the "why" behind this deal. While Arduino democratized electronics, its core technology was falling behind modern 32-bit competitors. We discuss how this acquisition is Qualcomm's strategic play to do...

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Is your business prepared for Australia's shift from voluntary AI ethics to mandatory regulation? In this episode, we unpack a comprehensive guide for establishing a robust AI governance framework within large Australian enterprises. Learn about the multi-layered governance structure, the five core policies you need to implement, and how to create a tiered training program that gets your entire organisation on bo...

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In this episode, we ask: Is the rise of Artificial Intelligence as pivotal as the invention of electricity or the internet? We look at this history-shifting moment by tracing AI's evolution from the first "perceptron" in the 1950s, through the infamous "AI Winter," to today's deep learning revolution.

We then peek under the hood of the Large Language Models (LLMs) powering our world, break...

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In this episode, we explore why autonomous AI agents are being called the next frontier for business. 

We're moving beyond isolated AI projects and into the era of the "agentic enterprise," where intelligent, autonomous agents are woven directly into the fabric of daily operations. But what exactly is an AI agent? We break down their key traits—autonomy, adaptability, and goal-orientation—and explain how...

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In this episode, we dive into one of the biggest challenges in AI today, bias in large language models. The research shows that these models don’t represent all of humanity; instead, they overwhelmingly reflect the values and psychology of Western, Educated, Industrialized, Rich, and Democratic, or “WEIRD”, societies. 

One source frames this as more than just an ethical problem. It’s a real business risk, with potentia...

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In this episode, we investigate the growing conversation around deterministic large language models (LLMs), models designed to always return the same output for the same input. We contrast this with the more common stochastic LLMs that rely on random sampling and parallel computation, making their outputs variable even with identical prompts.

We explore the engineering efforts aimed at reducing this variability, includ...

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In this episode, we explore the emerging reality of a "generative AI plateau." For years, the path to better AI has been a simple one: bigger models, more data, and more compute. But now, that brute-force approach is showing diminishing returns. We'll discuss why the industry is hitting this wall, what new strategies are emerging to break through it, and what this all means for the future of AI and the ...

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In today's episode, we're tackling one of the biggest questions facing modern businesses: What's the best way to introduce AI tools to your organization? Is it a top-down corporate mandate, or a bottom-up, grassroots movement? We'll explore the pros and cons of both, and reveal what the data shows is the most effective approach.

The future of AI in business isn't a battle between top-down and b...

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Exploring what it means for a system to converse like a human but forget like a goldfish. Today, we're diving into a topic that's both a technical puzzle and a philosophical mystery: the statelessness of large language models, or LLMs.

Think about the last conversation you had with an AI. It felt real, didn't it? It seemed to understand you, to reason, and to respond. But what if I told you that in the v...

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In this episode, we dive into the profound ways artificial intelligence (AI) is reshaping democracy and the global economy. The discussion looks at how AI-driven misinformation, digital authoritarianism, and the growing dominance of tech giants are eroding public trust and threatening the integrity of elections. On the economic front, we explore how AI is transforming labor markets—creating new opportunities while sim...

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In this episode, we explore the idea that Artificial Intelligence marks one of the great turning points in human history, on par with the Agricultural, Printing, and Industrial Revolutions. By looking back at how past revolutions reorganized labor, democratized resources, and reshaped societies, we frame AI as the next major epoch—one that automates cognitive tasks and even democratizes creativity itself.

But the story...

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In this episode, we explore the fascinating new trend of vibe coding, where Large Language Models transform natural language into a programming interface. We trace the history of programming languages and natural language processing to show how this approach represents the next big leap in software abstraction. Alongside the excitement, we discuss the technical hurdles—from limited context windows and interpretability...

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In this episode, we investigate Embodied Intelligence—the argument that true artificial intelligence can’t exist in isolation from the physical world. Unlike today’s Large Language Models, which lack grounded understanding and causal reasoning, embodied AI seeks to merge perception, action, and reasoning through direct interaction with the environment.

We explore the technical blueprint shaping this field: advances in ...

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The headlines scream, "50% of jobs gone in 1-5 years!" Do you need to be worried or have we seen this all before? In this episode, we explore how Artificial Intelligence is reshaping the white-collar workforce—not by wiping out jobs, but by reallocating tasks. Rather than triggering mass unemployment, AI is automating routine cognitive work and amplifying productivity. It wont be all pain free though. Drawin...

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In this episode, we explore how Artificial Intelligence and Digital Twin technology are revolutionizing the Facilities Management (FM) industry. No longer a reactive, behind-the-scenes function, FM is evolving into a proactive, data-driven strategic asset. We unpack the powerful synergy between AI and Digital Twins—where real-time building replicas meet intelligent analytics—to deliver measurable outcomes like lower o...