We introduce Centaur, an advanced AI model developed by Helmholtz Munich that simulates human decision-making with remarkable accuracy. This system, trained on a vast dataset of human psychological studies and choices, can predict how individuals will behave across diverse scenarios, from financial risks to memory games, often outperforming traditional psychological theories. Centaur represents a breakthrough in bridging the gap between explaining and predicting human behavior, by fine-tuning a large language model to understand the general principles of human cognition. While offering immense potential for innovation, personalized experiences, and strategic planning by enabling virtual experimentation, the article also highlights critical ethical considerations regarding privacy, manipulation, and the responsible deployment of such powerful AI. Ultimately, the text encourages leaders to embrace the opportunities presented by AI that understands human behavior while establishing strong ethical guidelines.

Human Behavior Isn’t Random. This AI Proves It - and Predicts Yours!

We discuss Prompt Declaration Language (PDL), a revolutionary approach to AI infrastructure that addresses the current "black-box" nature of prompt engineering. It argues that traditional methods, relying on unpredictable "magic prompts", are unsustainable and lead to a scalability crisis in enterprise AI. PDL, developed by IBM and open-sourced, utilizes a transparent, YAML-based declarative language to define AI interactions and workflows, transforming opaque prompts into version-controlled, debuggable, and optimizable components. This shift promises to make AI development more akin to traditional software engineering, enabling collaboration, reliability, and improved performance through explicit, reviewable, and testable AI logic. The text emphasizes that embracing such transparent and accountable AI practices is crucial for future innovation and trustworthiness in AI systems.

Bit & Being - PDL is to Prompts as git was to Code

This AI-generated overview explores David Naylor's report on how his triathlon journey—powered by his own AI training agent—reveals key strategies for business resilience, AI integration, and growth. Discover the unexpected parallels for high-growth companies. Learn more about Naylor Technology Limited's Fractional CTO & AI Advisory services.

A Triathlon Journey: My Path to Resilience and Peak Performance – A Metaphor for Scaling Businesses

In this episode, we dive into how universities are reimagining computer science education in the age of generative AI. At the University of Washington, students are now citing ChatGPT as collaborators on assignments, and faculty are experimenting with how to teach problem-solving in a world where AI can handle the syntax. We explore what it means when academic leaders say “coding is dead” , - not as a death knell for tech careers, but as a call to shift focus from typing lines of code to designing intelligent systems. With insights from recent grads, startup employers, and curriculum designers, we unpack the evolving definition of “entry-level” and why curiosity, adaptability, and AI fluency are quickly becoming core job skills. From debugging all-nighters to AI-assisted workflows, this is a candid look at what the next generation of tech talent is learning, - and what the rest of us might need to unlearn. Whether you're hiring, teaching, or just trying to stay relevant, this episode explores what “post-coding” really means.

Bit & Being - Inside the AI Classroom: How Universities Are Re‑Tooling to Produce Post‑Coding Talent

In this episode, we dive into how hybrid AI is transforming legacy modernization, - from tedious rewrites to rapid, precise overhauls. Join us as we explore how combining deterministic verification with generative AI unlocks speed without sacrificing trust. Featuring real-world insights from GAPvelocity.ai, we unpack how abstract syntax trees (ASTs) provide semantic clarity and auditability in high-stakes environments. Can enterprises finally modernize mission-critical systems without the chaos? Tune in to find out how this hybrid approach is reshaping the future of digital transformation.

Bit & Being - Hybrid AI Legacy Modernization

What if your AI could pause, - and actually think? In this episode, we dive into the surprising world of Energy-Based Transformers (EBTs), the new AI architecture bringing “System 2” reasoning to machines. Join us as we unpack how this shift challenges the speed-obsessed AI paradigm, why smarter doesn’t always mean faster, and what this means for business leaders navigating high-stakes decisions. With insights from the latest research and a dose of wit, we explore how AI that reasons like a human could reshape the future of innovation.

Bit & Being - The AI Breakthrough No One’s Talking About: System 2 via Energy-Based Transformers

What happens when AI stops guessing, - and starts reasoning? In this episode, we dive into the groundbreaking shift from brittle automation to fluid intelligence, exploring how Model Synthesis Architecture (MSA) and mini-world models are redefining what AI can do. Join us as we unpack this hybrid approach that merges neural networks with symbolic logic, bringing adaptability, transparency, and human-like decision-making into real-world applications. From supply chains to healthcare, discover how the next generation of AI isn’t just smarter, - it’s more trustworthy.

Bit & Being - From Brittle to Brilliant: How Model Synthesis Architecture Is Reinventing AI Reasoning

In this episode, we explore why data alone no longer gives leaders a competitive edge. And why courageous intuition is making a comeback in the age of AI. From Captain Sully’s iconic “gut call” to Netflix’s billion-dollar hunches, we examine how bold, instinct-driven decisions are quietly reshaping strategy in tech-led organizations. You’ll hear provocative insights on automation bias, the centaur model of human+AI collaboration, and why great leadership increasingly means knowing when to ignore the algorithm. If your dashboards say one thing but your instincts say another, this episode is for you.

Bit & Being - AI Is Everywhere. Courageous Intuition Is Not.

In this episode, we unpack the urgent warning from over 40 AI researchers who say our rare view into AI’s “inner monologue” may soon disappear. You’ll hear how leaders from OpenAI, DeepMind, Anthropic, Meta, and more are joining forces to keep AI transparent, - and why that’s both a technical and strategic challenge. We explore real cases where monitoring AI’s reasoning caught risky behavior, the forces that could make such insight vanish, and what innovation leaders should be doing now to keep the glass from going dark.

Bit & Being - AI’s Inner Monologue: A Window into Transparency That May Soon Close

Billions of red-eyed insects and… your roadmap? In this episode, we unpack the cicada’s prime-number playbook, - why synchronized swarms (predator satiation) and staggered cycles (competition avoidance) make these insects unstoppable, and translate it into strategies for tech, security, and policy. Should companies ship in coordinated waves? When should movements desynchronize to win attention? Could prime-number rhythms harden cyber defenses? Join us for a fast, witty tour from forest floor to boardroom, - where timing, not force, becomes the ultimate advantage.

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