AI Evolution

In this episode of AI Evolution, the conversation picks up after a busy few weeks in AI, with plenty to catch up on.
David, Ben and Dave discuss the latest releases from Claude and ChatGPT, how the tools compare in real-world use, and why some people are moving closer to AI while others are starting to pull back.
The discussion also explores the growing power of no-code and AI-assisted app builders, including how tools like Lovable can now turn a rough idea into a working prototype in a matter of minutes. That leads into a bigger question:
What happens when anyone can build their own app to solve their own problem?
The episode also looks at OpenAI’s possible move into AI-first devices, whether an app-less phone could really work, and why Apple and Samsung may still have the upper hand.
There’s also a deep dive into image generation, creative control, prompting, and the difference between knowing how to use the tool and having a good idea in the first place.
Later, the conversation turns to AI safety, security vulnerabilities, Anthropic’s unreleased Mythos model, and the challenge of deciding when powerful AI systems should be kept private.
Topics covered include:
Claude Opus 4.7 vs ChatGPT 5.5
Why Claude often feels stronger for writing and reasoning
Building personal apps with AI tools
The rise of no-code platforms like Lovable
Whether AI could kill the traditional app ecosystem
OpenAI’s possible hardware ambitions
Voice-first AI devices
AI image generation and creative prompting
Why human creativity still matters
AI security risks and vulnerability discovery
AI in education, recruitment and everyday work
Why detecting AI-written content is still unreliable

A wide-ranging conversation about where AI is heading next, what it means for creators and businesses, and why the most powerful shift may be people building tools for themselves rather than waiting for someone else to build them.

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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