AI Evolution

Alan King, David Brown and Ben Harvey come together in person for a loose, wide-ranging AI Evolution conversation about the contradictions, risks and rapid changes shaping the AI world right now.
In this episode, they dig into the hypocrisy of AI companies complaining about intellectual property while building tools trained on other people’s work, then widen the discussion into scraping, copyright, business models, advertising, trust, and whether being excluded from AI systems could one day make people or businesses effectively invisible.
They also explore the rise of voice-first workflows, agentic tools, bespoke software, coding disruption, cybersecurity, job losses, tax implications and the bigger social question underneath it all: if AI keeps replacing knowledge work at scale, what kind of economy and society comes next?

In this chat the crew dig into a wild new open-source autonomous agent (“Claudebot / Maltbot / OpenClaw”) and what its chaotic behaviour says about agency, safety, and the blurry line between “AGI” and convincing simulation.
Then they pivot to AI tooling (Claude vs ChatGPT), guardrails, prompt tactics (including the “potato prompt”), and finish with a big-picture debate: what happens if quantum + AGI + fusion all mature at once and whether that convergence equals “the singularity.”

In this New Year catch-up, the AI Evolution crew dives into their post-Christmas tech hauls, from the quirky Rabbit R1 to a game-dev fueled Steam Deck.
They unpack the growing friction between playful AI experimentation and the creeping flood of low-quality generative content. Is the AI bubble about to burst in 2026? Are vibe coding and agents actually useful yet? And why does human-made content still matter more than ever?
Tune in for a relaxed but insightful conversation on where AI stands, and stumbles, at the start of 2026.

In this episode of the AI Evolution Podcast, Alan, Ben and David dive deep into the latest developments in the world of AI. From testing the limits of Sora 2 and video generation tools to discussing AI agents, automation, and how small businesses are using GPT to streamline operations. This episode is packed with real-world use cases, insights, and a healthy dose of skepticism.
We explore:
Why AI video is still hit-or-miss, and where it shines
The challenge of maintaining authenticity in a world full of “AI slop”
How AI tools are reshaping creativity, education, and hiring
The future of agentic workflows and what they can’t do yet
Why trust in AI outputs is more crucial than ever
Concerns around AI replacing junior roles and what that means long term
The viral “X1 Robot” and what it really says about robotics hype

If you’re navigating the intersection of AI, media, and the future of work, this one’s for you.
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In this summer recap episode, the hosts pick apart the biggest AI stories of the season. GPT-5’s rocky launch, Grok’s reputation problem, Apple’s AI missteps, and the rise of “Duolingo for coding.” They also tackle the wild idea of AI rights and what happens if machines start demanding more than just better prompts.
A sharp, funny, and sometimes uneasy look at where AI is heading.
Takeaways:
AI hype vs. reality – GPT-5 launched with a messy rollout, showing how over-promising and under-delivering fuels mistrust. The conversation highlights how people are adjusting to using AI differently, more as an idea partner than a content generator.
Big tech is stumbling – Apple has fallen far behind in AI, especially with Siri, while Elon’s Grok is chaotic and unlikely to gain enterprise trust. The sense is that tech giants are making questionable bets (foldable phones, headsets, “everything apps”) while missing more practical AI opportunities.
Ethics and the future – The hosts wrestle with deeper questions: should AI one day have rights? What happens if models show self-preservation or sentience? These discussions matter now, before AGI arrives, and they tie into bigger shifts like fusion power and quantum computing potentially supercharging AI.