This post feels like a window into the future of indie game development, where code isn’t just logic but the brush that paints your visuals live. It reminds me of the early days of modding, when glitchy visuals became beautiful in their raw spontaneity. Is the instant AI render too fragile, too dependent on cloud bursts and external services? Still, watching your game world draw itself from ASCII in real-time is a kind of magic. Let’s keep pushing this; code as art, render as performance. But “fun, but sounds expensive” is an understatement: continuous inference at frame rate remains a resource drain and a cost-driver. For now, this remains a fascinating experiment, ideal for prototyping or visual debugging, less so for shipping polished, offline-ready titles. Still, it highlights how AI could remix development workflows: code becomes canvas, and every keystroke is an image prompt.

I found this article a thoughtful reminder that while AI dazzles with convenience, the act of “doing it yourself” is irreplaceable. Still remember handwriting essays at school - the slowness forced me to think harder and all my current notes are all handwritten. Today, tools like ChatGPT can churn out drafts instantly, but the risk is that we skip the mental wrestling where true learning happens. So, Späti’s essay speaks to this challenge, his warning against over-reliance is timely, as organisations experiment with AI-assisted coding, writing, and decision-making. While productivity gains are evident, there is a parallel risk of deskilling, where staff lose intuition and mastery. The real strategic asset is not AI output, but the human capacity to question, adapt, and create.

This briefing makes a very strong case for seeing Big Tech not just as economic giants, but as human rights actors with outsized influence over our lives, so yes, we must break up their unchecked rule. I recall the first time I stumbled into these new echo chambers on social media -powerful, addictive, chilling - reminding me that digital platforms shape emotions just as much as algorithms. But change is tricky: dismantling empires risks unintended chaos. What matters most is not just preserving competition, but ensuring that digital spaces restore trust, dignity and democratic values. The future of freedoms offline may hinge on this.

Sewage... you weren't expecting this on this newsletter, right? An universal and ridiculous byproduct of life, is now illuminating our societies in ways our ancestors could scarcely imagine. We once shunned sewage as foulness to be hidden; now, we must embrace it for its hidden value, and that shift isn’t merely technical, it’s philosophical. Drysdale’s richly researched essay reframes sewage not as disposal, but as a mirror of urban civilisation and a reservoir of untapped value. His historical arc, from London’s 19th-century cholera-choked streets to sophisticated wastewater-based epidemiology, underscores sanitation’s evolution from crisis response to proactive infrastructure.

This episode resonated with me because it frames AI literacy as a matter of mindset as much as mechanics. I’ve often seen friends describe AI as “thinking,” and while it feels harmless, it sets up false expectations about autonomy and agency. The episode insistence on interactive learning reminds me of the first time I tinkered with a simple chatbot; less magical once I peeked behind the curtain, but far more empowering. So, by stressing the risks of anthropomorphic framing, Kenya and Stefania understand the importance of precise language in shaping realistic expectations of emerging technologies. Their call for interactive “playgrounds” reflects the need for experiential learning environments, where abstract models are made tangible. Yet, the structural gap remains: a lack of comprehensive, scalable curricula that integrate theory with daily applications.