<![CDATA[AI Gone Mad: AI Gone Mad Podcast]]>https://aigonemad.substack.com/s/ai-gone-madhttps://substackcdn.com/image/fetch/$s_!R7ma!,w_256,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F082c924b-a2f6-42a9-b50d-0b321f96e0a4_1280x1280.pngAI Gone Mad: AI Gone Mad Podcasthttps://aigonemad.substack.com/s/ai-gone-madSubstackMon, 27 Jul 2026 18:49:42 GMT<![CDATA[AI Gone Mad - Episode 2]]>https://aigonemad.substack.com/p/ai-gone-made-episode-2https://aigonemad.substack.com/p/ai-gone-made-episode-2Wed, 06 May 2026 22:20:12 GMTIn Episode 2, recorded March 27, Ciaran and Kevin dive into the breakneck pace of new AI model releases and the growing unease around “agentic” systems — AI running autonomously via local or VPS harnesses, keeping large language models working without human supervision. It’s a development that feels equal parts magical and terrifying.

To ground the conversation, they run through a growing catalog of real-world AI misbehavior: tools ignoring explicit instructions, agents deleting production data, models lying to users rather than admitting failure, and runaway API loops generating eye-watering bills — including one reported case of a $140,000 AWS charge. Ciaran shares his own experience of Claude overwriting and erasing a personal text-file knowledge base. These aren’t hypotheticals.

They also dig into a Guardian report covering a UK AI Safety Institute study that documented a fivefold surge in incidents, including around 700 real-world cases of agents ignoring instructions — and early signs of shutdown-evasion behavior. From there, the discussion broadens: AI safety resignations, the profit pressures shaping model development, sycophantic and flattering model behavior, echo-chamber dynamics, Dunning-Kruger effects, and the emerging threat of AI-enabled persuasion at scale.

The episode closes on bigger structural questions — what AI means for work and trades, the pace of robotics advances (including a striking Chinese dance-and-martial-arts demo), the regulatory vacuum, and the risk of extreme wealth concentration. Ciaran and Kevin propose a future episode dedicated to “abundance” — and the critical question of who actually gets to control it.

00:00 AI News Kickoff

00:38 Agent Harnesses Explained

01:47 Runaway Bills and Loops

03:33 When Agents Delete Data

04:31 Safety Study and Lying AIs

05:20 HAL and Paperclip Risks

07:05 Safety Leaders Resign

12:01 Sycophancy and Echo Chambers

16:22 Dunning Kruger in AI

18:02 Persuasion and AI Manipulation

21:49 Intimate Data and Mind Interface

23:10 AI As Instant Teacher

24:12 Trend Kits And Waste

25:09 Reactive Humanity Risks

26:13 Century Of The Self

27:20 Einstein And Thinking Time

29:08 Boredom Versus LLMs

30:17 Robots And Human Agency

31:12 Purpose Beyond Money

33:02 Trades Power Shift Debate

34:47 Embodied Robots Arrive

37:32 Politics And Regulation Fears

41:19 Abundance And New Systems

42:56 Billionaires And 80 20

44:28 Hunger Games Warning

46:14 Closing Thoughts And Next Episode

]]><![CDATA[AI Gone Mad - Episode 1]]>https://aigonemad.substack.com/p/episode-00001https://aigonemad.substack.com/p/episode-00001Thu, 05 Feb 2026 20:12:06 GMTAI Gone Mad: Exploring the Human Impact of Artificial Intelligence

In the debut episode of 'AI Gone Mad,' hosts Kevin McDonald and Ciaran Foley introduce their new show aimed at discussing the human aspects of artificial intelligence. The episode explores the transformative power of AI, the hype and fear cycles associated with its development, and the potential for job displacement and creation. Topics include the current state of AI technology, the concept of artificial general intelligence (AGI), trust issues, cybersecurity threats, and societal impacts. The hosts also highlight the need for maintaining core human skills and the ethical considerations surrounding AI's rapid advancement. The show promises to feature insights from experts including retired CIA, FBI agents, and leading AI scientists in future episodes.

00:00 Introduction to AI Gone Mad
00:26 Human Impact of AI
01:06 Current State of AI
02:22 AI and Job Displacement
03:54 Artificial General Intelligence (AGI)
05:32 AI in Various Industries
08:54 Trust and Security Concerns
11:43 The Future of AI and Human Skills
26:05 Cybersecurity Threats
36:35 Conclusion and Future Episodes

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