I can’t help but smile at how strikingly futuristic OS/2 seemed in 1987. Threads, virtual memory, and dynamic linking weren’t just technical jargon, they promised a world where multitasking felt natural, not glitchy. And yet, the real world, buttressed by partitioned drives and CPU mode gymnastics - pulled things back to earth in a hurry. It’s a timeless lesson! Still, I admire how Microsoft tried to bridge legacy DOS and modern multitasking without turning everything upside down. The dream was there; the execution just had to catch up. Some grand ideas stay ahead of their time.

This great reflection tells a critical caution for leaders and AI strategists: AI’s evolution is incremental, not meteoric. Historical patterns, overpromising and underdelivering, underscore the risks of overinvestment in “next-big-thing” technologies. The real value lies in identifying modular, manageable intelligence components and integrating them purposefully. Organisations should prioritize pragmatic deployment; robotic automation, expert systems with narrow scope, incremental neural methods, over sweeping, speculative initiatives. This disciplined, phased approach reduces risk, aligns expectations with actual readiness, and ensures AI becomes an enabler rather than a headline-seeking mirage. As he rightly highlights, intelligence probably isn't one magic switch; but a messy, beautiful quilt of many threads.

Teletext is ridiculed today as archaic, yet it remains widely used in multiple countries, particularly where public broadcasters continue to support it. It does feels like a familiar relic that refuses to vanish. There was something charming about flicking through text pages with chunky graphics on a TV screen. Now, it’s low-fi comfort, really. This stubborn endurance in Europe speaks volumes: sometimes old tech sticks around not because it’s cool, but because it works and people trust it. Teletext thrived because it leveraged existing broadcast infrastructure, remained easy to use, and was backed by public broadcasters.

This is a beautiful, obsessive labour of love that marries mechanical precision with DIY ingenuity. Rendering invisible mechanisms visible - how cool is that? - bringing each tiny cog and spring into view as if you could almost hear them tick again. This use of resin, fishing line, and budget molds is wildly inventive, pure maker spirit. Ellertsen’s project exemplifies the power of perseverance in prototyping high-precision craftsmanship. His domain-blending approach, applying watchmaking techniques in a resin casting context, offers manufacturers valuable lessons in agile iteration. The enduring process speaks to industrial design: success often lies in embracing iterative refinements and small-scale experimentation to master intricately technical objectives.

Bjango’s deep dive into Daft Punk’s vocal effects illuminates the duo’s disciplined yet experimental production ethos. Their evolving use of distinct processing tools; from the analogue warmth of Roland SVC-350 to the digital precision of Auto-Tune and DigiTech processors. Which speaks to a strategic flexibility rather than stylistic uniformity. By selecting the most fitting device per track, Daft Punk optimized both aesthetic and mood, demonstrating that technical artfulness, not brand name alone, crafts defining soundscapes. I love how it blends interviews, hardware sleuthing, and keen audio analysis to map each song to a piece of gear. It’s less about one magical machine and more about how creativity meets craft, and how choices evolve with context. For anyone curious about that iconic Daft sound, this is pure gold dust for the ears.