Skip to main content
Watch or Listen

Episode Summary

Veteran software engineer Carl Brown of Internet of Bugs joins me to expose the fallacy and dodgy claims that superintelligence and AI will kill humans.

We discussed how the tech sector reached its current messy situation, starting with social platforms that learned to reward outrage, engagement, and extreme opinions long before today’s AI boom. From Gamergate to Brexit/MAGA, we saw how algorithms could amplify misinformation, manipulate public attention, and divide communities.

AI is now taking that same system and making it more powerful, more personal, and harder to scrutinise. Carl made a crucial point about the way “AI safety” is being portrayed and discussed by the media and the tech sector.

We constantly hear that AI might eventually destroy humanity, but far less attention is paid to the harms already happening today, such as data breaches, surveillance, deepfake abuse, copyright theft, manipulation, and vulnerable people being misled by automated systems.

The hyped-up apocalyptic narrative may sound serious, but it can also distract us from asking the most important questions: what is happening now, who is responsible, and why are companies still pushing forward if they genuinely believe their technology could cause catastrophic harm?

We also challenged the economic story behind the AI bubble. Companies and investors talk about trillion-dollar markets built on the promise of replacing human labour, yet businesses are still struggling to prove meaningful returns.

Carl put it perfectly that feeling more productive is not the same as generating more revenue, reducing costs, or improving quality. More lines of code do not automatically mean better software, and more AI output does not automatically mean real progress. Much of the current boom seems to depend on the hope that someone else will pay more later.

We delved deeper into the true meaning and value of knowledge, curiosity, and care. I like to discuss how people need to learn beyond their own fields, question confident claims, and use AI to strengthen their expertise rather than replace their judgment.

However, Carl’s version was even more direct: People need to care about the truth, businesses need to care about their customers, care about the quality of their work, and care about the consequences.

Join the conversation and tell us whether you think AI created the crisis we are facing, or did it just inherit it from humans?

Key Takeaways

(YouTube Timestamps)
  • 00:00:00 – Preview
  • 00:03:00 – Why independent media matters more than ever in the age of AI slop, clickbait, misinformation and attacks on fearless journalism
  • 00:03:41 – After nearly 40 years of software engineering, why did Carl switch to content creation and launch Internet of Bugs on YouTube?
  • 00:15:33 – Gamergate and the rise of algorithmic outrage, leading to today’s toxic social media environment, disinformation, Brexit, MAGA and real-world political harm
  • 00:30:34 – The growing power and political influence of Big Tech, and the public’s exposure to misleading narratives
  • 00:33:25 – Lina Khan, antitrust and why Silicon Valley pushed back against the Biden administration and supported Trump
  • 00:39:33 – Corporate accountability, the AI bubble and overhyped AI safety narratives versus current harms
  • 00:48:30 – The “AI race with China” and fear-based messaging used to justify massive investments in AI labs and data centres
  • 00:50:33 – CEOR Voices: Vess Clewley, Co-founder and CEO of ClubLe, on using behavioural intelligence to help people get out more and use less AI
  • 00:56:36 – How the current data-centre push has increased public resentment towards AI and Big Tech, potentially bridging political divides
  • 01:00:18 – Silicon Valley’s singularity and immortality fantasies, and the belief that technology leaders are above “normal” humans
  • 01:05:38 – Whistleblowing, media access and coordinated narratives — from fringe forums to algorithmic feeds
  • 01:13:33 – Silicon Valley’s connection with global far-right movements, Texas politics and shifting public sentiment towards Big Tech and MAGA
  • 01:22:32 – AI regulation as a political issue for Democrats ahead of the midterms and the rise of “socialist” Democrats
  • 01:28:48 – How capitalism, socialism, oligarchy and concentrated power have increasingly centred around technology and AI
  • 01:34:02 – The AI business model and the missing return on investment for business and enterprise customers
  • 01:38:15 – When could the AI bubble burst?
  • 01:43:12 – Media hype, AI doom and the lack of tangible evidence behind sensational stories about AI “civilisations” and other extreme scenarios
  • 01:49:05 – Did AI really almost start a war with China? Why AI companies should be held accountable for claims about AI agents, hacking and national security risks
  • 02:10:38 – Recursive self-improvement (RSI): what is it, and why has it become a prominent term in current AI doomer claims?
  • 02:16:25 – How AI accelerationists and AI doomers exploit the public’s lack of technical knowledge, and why technical expertise requires intellectual humility

About our Guest

Share this