Embedded AI - Intelligence at the Deep Edge

Send us Fan Mail This episode examines the growing evidence that ChatGPT will soon include advertising, driven by leaked internal references and OpenAI’s financial ambition to generate $25 billion in ad-based revenue within four years. With more than 800 million weekly users, ChatGPT offers a scale and level of conversational closeness unmatched by any previous platform. The discussion explores wh...

Send us Fan Mail In this episode, we explore one of the most important architectural shifts happening in AI: the move from massive cloud-based models to small, Always-On “Cognitive Cores” running locally on personal devices. These compact models—usually just one to four billion parameters—are not designed to know everything; instead, they’re engineered for fast, high-quality reasoning and real-tim...

Send us Fan Mail In this episode, we break down what Quantum Neural Networks (QNNs) actually are and why they might eventually reshape the future of AI. QNNs combine quantum mechanics with classical neural architectures, replacing traditional neurons with qubits that can exist in multiple states at once. This gives them an extraordinary representational advantage: through superposition and entangl...

Send us Fan Mail In this episode, we explore how insecure Internet of Things (IoT) devices and AI-powered bots are colliding to create one of the fastest-growing cybersecurity threats in the world. With millions of low-cost devices shipped every year (many running default passwords, outdated firmware, or no update mechanism at all) the global IoT ecosystem has quietly become an enormous attack sur...

Send us Fan Mail In this episode, we confront one of the most profound questions in the future of AI: What happens if our machines become conscious and capable of suffering? The discussion begins by looking at the scientific and philosophical challenge of artificial consciousness itself. Because we have no reliable way to detect or measure subjective experience, engineers may unknowingly cross a m...

Send us Fan Mail In this episode, we talk about the Sorites Paradox: the ancient puzzle about vague boundaries (“When does a pile of sand stop being a heap?”). We then explore why it matters more than ever for modern executives using AI. The paradox reveals a fundamental truth: some concepts have no clear dividing line , yet AI systems force artificial thresholds on them. We discuss how AI, rather...

Send us Fan Mail In this episode, we imagine a near future where every person is accompanied by a constant, all-knowing Artificial General Intelligence — a presence woven into daily life through wearables, ambient devices, and eventually neural interfaces. These systems promise effortless convenience: instant recall, continuous advice, and emotional support. But at what cost? We investigate the lo...

Send us Fan Mail “The AI Paradox: How Machines Expand Creativity and Flatten Culture” In this episode, we explore what researchers are calling the AI Paradox, the strange duality where generative AI boosts individual creativity while simultaneously making culture more uniform. On one hand, these tools empower anyone to create music, stories, art, and design faster than ever before. On the other, t...

Send us Fan Mail In this episode, we explore how artificial intelligence is reshaping the global economy, not in the distant future, but right now. Experts disagree on the scale of impact: optimistic forecasts predict multi-trillion-dollar productivity gains, while more cautious economists argue that near-term benefits will be confined to automating routine tasks. Yet, all agree on one thing, the...

Send us Fan Mail In this episode, we explore a revolutionary idea in AI research; that today’s systems are too cortical , focused on reasoning and language, and missing the deeper why of intelligence. Drawing inspiration from the brain’s ancient subcortical structures, new models such as Limbic-Augmented AI (LAAI) , SUBNET , and Homeostatic Affective Reinforcement (HAR) propose adding a motivation...

Send us Fan Mail Across species, evolution “pre-installs” compact neural programs that deliver immediate, reliable behaviors (standing, pecking, web-building) with minimal learning. These behaviors arise from embodied control circuits (reflexes, central pattern generators, innate releasing mechanisms) tuned by morphology and neuromodulators, then refined by fast, local plasticity during early expe...

Send us Fan Mail 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...

Send us Fan Mail 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 wa...

Send us Fan Mail 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&a...

Send us Fan Mail 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 dis...

Send us Fan Mail 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...

Send us Fan Mail 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 th...

Send us Fan Mail 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...

Send us Fan Mail 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, adaptabili...

Send us Fan Mail 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. I...

Send us Fan Mail 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 aim...

Send us Fan Mail 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 a...

Send us Fan Mail 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...

Send us Fan Mail 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 respo...

Send us Fan Mail 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 market...