In the Long Run

• Ep. 21 - AI for business and robots for consumers

  This week’s episode: Jim attended an event with OpenAI in London and shares some highlights. OpenAI’s reorganisation has been finalised, sparking fresh discussions about AGI timelines. There was also a notable update from the world of AI robotics: 1X has opened pre-orders for its humanoid robot, NEO, priced at $20,000, with deliveries to consumer homes expected next year.AI in Government: UK public sector trials show AI improving transcription and data processing while reinforcing a “more human” service to citizens.OpenAI Enterprise Vision: AI positioned as an “enterprise operating system,” integrating ChatGPT, Codex, Canva, Figma, and Deep Research.Adoption Lessons: Organisations like BBVA prove AI saves time but stress cultural readiness, leadership engagement, and peer learning.OpenAI Structure & AGI Goals: Reorganisation balances Microsoft’s stake with nonprofit oversight; targets include an AI research intern by 2026 and automation by 2028.1X NEO Robot: humanoid robot for homes performs chores, allows remote guidance, and raises privacy questions.

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• Ep. 20 - One Year Anniversary Extravaganza

  What made “In the Long Run” worth listening to this year? Which episode stuck with you most, and why? We celebrate 1 year of In the Long Run in our 20th episode. We have reached 100 subscribers! Thanks for being part of this journey. Here’s to another year of great conversations and new listeners joining in.And which breakthrough felt like the real shift this year? We reflect on the biggest events that happend in tech news this year and how they affected our lives. Would you welcome a robot in your home if it looked more like a person - or less? With Sora 2 in everyone’s pocket, does realism in video spark more creativity or more mistrust? Has open source caught up, or does leadership still rest with the big players? And who will be the big players one year from now; Google, Apple or still OpenAI?

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• Ep. 19 - Universal Basic Podcast

  Consumer ChatGPT use skews to practical help and tutoring, while we use it more for research, brainstorming, content editing, technical support and especially coding.AGI plus UBI could entrench inequality if compute access becomes the key capital, keeping wealthy users ahead and limiting mobility.ASML’s backing of Mistral links Europe’s chipmaking choke point more tightly to a European AI model builder.Meta’s new glasses surface answers in your field of view, winning tech-crowd praise but prompting mixed Dutch reactions about boredom, fear and privacy.Apple’s pushback on the EU’s DMA shows how rules shape what citizens get, with live translation at risk while incumbents defend lucrative defaults.

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• Ep. 18 - Brain-Computer Interfaces and the AI Hallucination Problem

  In this episode we explore brain-computer interfaces, discussing MIT's Alterego project and Joao's startup Wyrde AI, which aims to read thoughts through BCI-enabled glasses. While promising seamless AI interaction, concerns arise about mental focus and unintended actions.As second topic we dive into OpenAI's research which reveals that AI hallucinations stem from training processes that reward guessing over admitting uncertainty - a problem the hosts recognize in human organizations where senior staff can make unfounded claims while juniors must stay cautious.Brief news includes a proactive AI assistant that continuously monitors users without prompting, and Oracle's temporary rise as the world's most valuable company due to AI infrastructure hype.

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• Ep. 17 - GPT-5, AI rights, and why 95% of AI pilots fail

  We are back from the summer break and GPT-5 has been introduced. OpenAI replaced model selection with automatic routing. While this benefits casual users, we found the change disruptive as more advanced users. We debate whether users should expect to continually relearn prompting techniques as models evolve, and why a gradual sunset period for older versions would have eased the transition.Microsoft’s AI lead Mustafa Suleyman commented on “AI rights”. While he cautions against premature debates, we reflect on society’s tendency to anthropomorphise even simple technologies, raising concerns about attachments and misuse, especially with chatbot integrations in consumer platforms.Finally, we review an MIT study revealing that 95% of AI pilots fail. The researchers argue that experimentation is necessary, failure builds knowledge, and success depends on creating real value rather than adding AI for its own sake.

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