We discuss the concept of "AI speedrunning," explaining how "fast followers" are often overtaking "first movers" in the artificial intelligence industry. It highlights that companies are now quickly adopting and improving upon new AI breakthroughs rather than solely focusing on original invention. The text cites examples like Apple's market dominance through refinement and Grok's swift impact by leveraging existing platforms and a unique tone, demonstrating that speed to adapt is often more critical than being first. Furthermore, it emphasizes how open-source communities and AI tools are dramatically accelerating R&D cycles, creating a widening gap between organizations that embrace continuous innovation and those that lag. Ultimately, the text argues that success in the AI era hinges on a blend of strategic pioneering and rapid, intelligent adoption, fostering a culture of agility and continuous learning.

The Fastest-Follower Wins: The Age of AI Speedrunning

We explore explore several facets of modern software development, particularly the rise of AI-powered coding tools and low-code/no-code platforms. They discuss how these innovations offer rapid development and increased productivity, with tools like GitHub Copilot and Google's Gemini CLI enabling faster code generation and task management. However, a significant theme is the concern over technical debt, as AI-generated code can lead to inconsistencies, duplication, and potential security vulnerabilities if not properly managed through human oversight and rigorous code reviews. Concurrently, the sources touch upon the aging of legacy programming languages such as Visual Basic and PowerBuilder, highlighting the ongoing need for migration and modernization in the software industry.

12 AI IDEs, 5 Policy Tests, 1 Guide for CTOs

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.

New tracks tagged #Tech Leadership