Episode 0: Beyond the Hype

While the internet is flooded with people either regurgitating OpenAI press releases or copying everyone else’s highlight reels, James and Lee want to bring something different - reality. Not the hype, not the doom, just two experienced developers talking about what AI actually does, where it falls short, and why most people have the wrong context entirely.

James kicks things off with frustration. He’s been at tech meetups where the AI conversation has got heated, and he’s tired of the same two camps dominating the discussion - the people who think AI is the best thing ever, and the people who think it’s the new devil that’s going to kill everybody’s jobs. He’s particularly irritated by the term “AI slop,” which he sees being thrown at everything indiscriminately. People see anything on social media and immediately label it AI, forgetting that Photoshop and video editing have existed for decades. James was himself dismissing AI as “jumped up predictive text” just six to eight months before recording, and he’s watched it come so far in that time that it’s mind-blowing. His frustration is that everyone is talking about the potential or the hype, but nobody is talking about real-world usage.

Lee picks up the thread and agrees - but adds important context about adoption. He notes that while companies like OpenAI report 800 million users, that’s still only around 10 percent of the world, and they’re self-reported numbers. Many of those users are doing really basic stuff. The deep, meaningful, industry-changing usage is still concentrated in a small group. Lee also points out that a lot of the crypto sales crowd migrated over to AI, bringing their hype-driven approach with them, but behind the scenes, genuinely useful things have been happening. He mentions bumping into someone who didn’t even know what ChatGPT was - a reminder of how far the awareness gap still stretches.

James shares an experience that illustrates the disconnect perfectly. He’d recently been talking to very experienced developers who didn’t understand how AI could augment their skillset. When he showed them, it blew their minds - they’d only seen AI generating silly videos and had written it off as useless. James makes the point that AI impacts every industry, not just tech, and that people are ignoring this. He compares the current perception to blockchain - businesses are shoving AI into everything whether it makes sense or not. “You don’t need an AI toaster,” Lee quips, “but maybe you do.”

This triggers one of the episode’s best tangents. James describes his misadventures with smart kitchen appliances. He was looking for a new washing machine and a kettle - pausing to explain to the international audience that a kettle is something that boils water so you can make tea - and found everything was Wi-Fi enabled. The kettle’s selling point was that you could start it boiling from your phone, which James immediately dismissed: “What happens if there’s not enough water in there? You still have to walk to the kitchen.” Lee, the self-confessed gadget lover, immediately sees the potential: “I could tie it to Alexa!” James, firmly not a customer, then describes buying a Wi-Fi-enabled tumble dryer. The only thing you could do over Wi-Fi was set up custom drying cycles, which you then couldn’t use from the tumble dryer itself - you had to stand in front of it with your phone. His point lands clearly: just because you can add technology to something doesn’t mean you should. It has to bring genuine value.

Before diving too deep, they do introductions. Lee introduces himself - based in Abu Dhabi in the UAE, he’s known James since they were 16, having gone to college and university together. He’s been coding since he was 12, runs consultancy firms, does solution architecture for governments and banks, and has trained over a thousand people in AI over the past two years. He writes a twice-weekly newsletter on AI and describes himself as always being at the cutting edge of technology - sometimes too cutting edge. A friend once told him he’s always three steps ahead, but it’s two steps ahead where you make the money. He’s trying to stay in the two-steps-ahead zone now.

James introduces himself as the Cynical Developer - a podcaster since 2016, author, technologist, and software consultant. He’s the person companies bring in to get stuff out the door. His mantra is “F it, commit it, ship it.” He’s been using AI on both client work and personal projects, and while it “blows smoke up your ass quite a lot,” it can also be humbling. He describes having AI review projects he built where he wasn’t overly familiar with the codebase, and it coming back with “this project’s pretty good, but what the hell is this over here?” James credits Lee with teaching him to program in the Visual Basic days, noting it’s come full circle - now neither of them needs to write the code because the AI does it.

The episode takes an entertaining turn when Lee declares that the most important aspect of the entire podcast isn’t the guests they could interview - not the CEO of Nvidia, not Microsoft, not OpenAI - but choosing the intro jingle. James, noting that the show’s artwork is AI-generated (tweaked by him using his graphic design background), correctly guesses Lee has AI-generated the jingles too.

Lee introduces Suno, an AI audio generation tool, and proceeds to play a series of jingle options - all inexplicably in the hip-hop and rap genre. James immediately points out the absurdity: “American hip hop for two British guys.” What follows is a chaotic audition that includes a spoken-word piece about humans and technology set in Japan, a UK rap track featuring the lyrics “two blokes in the UK, drinking bomb facts” (James wishes he’d put his balaclava on), and - in a moment Lee nearly glosses over - songs he made that morning to get his kids to school on time, one of which is called “Poison Pancakes” and doesn’t actually mention pancakes for the first minute. Lee insists one of the jingles is a genuine banger and that Taylor Swift should watch out. James is unconvinced. The pair agree that listeners will have to tune into the next episode to find out which one they actually went with - leaving the door open for K-pop demon hunters as a backup option.

Underneath the chaos, a serious point is being made. The jingles - produced in minutes with text prompts - demonstrate exactly the kind of creative augmentation Lee and James are talking about throughout the episode. You don’t need to be a musician to produce a podcast intro. The barriers to creation are dropping, and that’s the real story of AI that nobody seems to be telling.

Subscribe now and join us on this AI journey - tune in next episode to find out which jingle actually made the cut.