We introduce Knowledge Protocol Engineering (KPE), a novel approach designed to enhance AI's capability beyond mere factual recall to practical, domain-specific execution. It argues that while current AI, like Large Language Models (LLMs), excels at memorizing information (often augmented by Retrieval-Augmented Generation, or RAG) and can utilize tools (agent systems), it frequently lacks the procedural know-how of human experts, leading to unreliable outcomes in complex tasks. KPE proposes a systematic method to translate human expertise—found in manuals and standard operating procedures—into machine-executable protocols, essentially teaching AI "how to think" within a specific field. This involves extracting expert knowledge, encoding it into structured templates, guiding the AI's execution of tasks based on these rules, and validating the output against predefined steps. The benefits of KPE include increased procedural precision, rapid specialization of AI without extensive retraining, enhanced transparency and auditability, and a shift in human roles towards "protocol engineering", where domain experts directly program AI behavior.

Knowledge Protocol Engineering: Teaching AI the How, Not Just the What

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

In this week’s episode, we dive into the hidden creativity of AI with "latent-space engines", - tools transforming chatbots from mere answer machines into innovation co-pilots. Join us as we explore how these groundbreaking systems generate genuinely novel product ideas and business strategies. Can AI truly become your next brainstorming partner? Discover provocative insights, real-world case studies, and practical steps to harness this creative frontier in your organization. Tune in and rethink what’s possible with AI-driven innovation.

Bit & Being - AI’s Hidden Idea Factory: How Latent-Space Creativity Engines Are Reshaping Innovation

Welcome to **AI with Shaily**! 🎙️ Hosted by Shailendra Kumar, a passionate AI practitioner and author, this show dives deep into the latest breakthroughs in artificial intelligence, making complex tech topics easy to understand and practical for listeners.

In this episode, Shaily takes you on a thrilling ride inside the world of autonomous vehicles 🚗💨, focusing on how self-driving cars are evolving to navigate the chaotic and unpredictable urban jungle. Imagine yourself behind the wheel of a car that not only reacts but *predicts* the movements of pedestrians, vehicles, and sudden obstacles using cutting-edge sensor fusion technology. This means combining data from cameras, LiDAR, radar, and more to create a rich, real-time understanding of the environment.

The big leap? Moving beyond rigid, rule-based programming to smart machine learning models that continuously learn and improve. These systems get better with every mile driven and simulated test, handling tough conditions like fog 🌫️, rain 🌧️, and noisy sensor inputs that used to confuse autonomous cars. It’s like teaching a car to master a skill faster and more accurately than humans can.

Shaily shares a personal story about the early challenges of trusting machines to take the wheel and how today’s data-driven AI methods are bridging that trust gap. This progress is not just theoretical; it’s gaining recognition in prestigious places like the International Journal of Vehicle Design and sparking conversations on social media as of mid-2025.

For AI enthusiasts and developers, Shaily offers a golden nugget of advice: focus on integrating multiple sensor inputs rather than relying on just one. This fusion is the “secret sauce” 🥫 for building robust autonomous systems that can handle the unpredictable nature of real-world environments.

Before signing off, Shaily poses a thought-provoking question 🤔: As AI gets better at predicting and avoiding obstacles, how might this influence the design of future urban spaces? He invites listeners to share their thoughts and engage in the conversation.

To inspire everyone, Shaily quotes the legendary Alan Turing: *“We can only see a short distance ahead, but we can see plenty there that needs to be done.”* This perfectly captures the exciting journey of autonomous obstacle avoidance—a journey that’s well underway.

Don’t miss out on more insightful AI discussions—follow Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium. If you enjoyed the episode, hit subscribe and join the growing community of AI learners and innovators.

Thanks for tuning in to **AI with Shaily**! Stay curious, keep learning, and see you next time! 🤖✨

AI with Shaily: The Future of Self-Driving Cars and Smarter Obstacle Avoidance

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

Is your AI stuck in the past? In this episode, we dive into the transformative world of Test-Time Neural Plasticity, - AI models that don't just operate but learn and adapt in real time. Join leading AI researchers and technology strategists as we explore how dynamic neural networks are revolutionizing customer interactions, financial risk management, and smart manufacturing. Are we ready to trust AI that reshapes itself on the fly? Tune in and discover why the future belongs to systems that keep learning long after they're deployed.

Bit & Being - Test-Time Neural Plasticity: AI That Adapts on the Fly

What happens when cutting-edge AI meets crumbling Latin inscriptions? In this episode, we explore how DeepMind’s Aeneas system is transforming the way historians restore and interpret ancient texts, - bridging millennia with machine learning. Joined by experts in archaeology and AI, we unpack how algorithms are now co-authoring history, reviving long-lost voices from the Roman Empire. Can a neural network understand antiquity better than a scholar? And what does this mean for the future of digital humanities, historical truth, and innovation at the intersection of tech and culture? Tune in for a conversation where past and future collide.

Bit & Being - The Future of History: How AI Co-Authors the Past

In this episode, we dive into Google DeepMind’s groundbreaking Gemini 2.5 “Deep Think”, - the multi-agent AI model reshaping what’s possible in enterprise problem-solving. From achieving gold-medal math scores to delivering 30% gains in code generation, we unpack how parallel reasoning and the “swarm advantage” can transform strategy, R&D, and long-horizon planning. Join us as we compare Deep Think to GPT-4 and Claude, explore its real-world applications, and ask: is the era of the lone genius AI over?

Bit & Being - From Chatbot to Think Tank: The Swarm Advantage and Parallel Reasoning

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

New tracks tagged #AI innovation