In the Long Run

• 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.

  --------  

  53:13

  --------

  53:13
• 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.

  --------  

  31:38

  --------

  31:38
• Ep. 16 - When AI Rewrites Itself, Who’ll Rule Your Ears? And Your Summer Survival Kit

  This episode explores the future of self-improving AI. MIT’s SEAL framework lets language models generate their own fine-tuning data and learning goals. Sakana AI’s Darwin Gödel Machine goes a step further: it rewrites its own code through evolutionary search, building a growing library of smarter agents. These advances point to a future where smaller, more adaptable models can keep learning on the fly.We also cover the conflict between OpenAI and the Google-backed audio startup iyO. OpenAI is investing $6.5 billion in Jony Ive’s hardware company (io) to develop a new AI companion. iyO is about to launch iyO One, AI-powered earbuds for voice-first interaction. The legal clash reflects rising expectations in AI-native hardware.Google DeepMind introduces Gemini Robotics On-Device. It runs locally on robots, removing the need for internet access and enabling real-time object control. The new SDK lets developers fine-tune models with just 50 demonstrations, making it quicker to adapt to new tasks.Your Summer Survival Kit: listen again to our episode “Attention Is All You Need”, read Klara and the Sun, and let Jim explore AI tools like Synthesia, Canva AI, Notion AI and Sana Agents (so you don’t have to). Instead, take the time to reflect on how AI is shaping your field and get ready for what autumn brings.---Papers“Self-Adapting Language Models (SEAL)” – Zweiger et al., MIT, 2025“The Darwin Gödel Machine” – Sakana AI & UBC, May 2025ClipsSam Altman + Jony Ive IO announcement (YouTube)iyO earbud reveal (TED talk)Generalist robotics demoGemini Robotics SDK launchSummer Reading & ListeningKlara and the Sun – Kazuo IshiguroAI och makten över besluten – Steinrud et al.BBC In Our Time (podcast)Hard Fork (New York Times)The Ezra Klein ShowTools to TestSynthesia (AI Video)Canva AINotion AISANA agents

  --------  

  44:52

  --------

  44:52
• Ep. 15 - AI Factories, Wicked Problems, and the Limits of Alignment

  João and Marie connect with Jim, who’s reporting directly from Nvidia’s GTC in Paris. Jim shares firsthand insights about CEO Jensen Huang’s ambitious vision for massive European “AI factories,” dives into the impact of Nvidia’s on the AI landscape, and reflects on what Disney’s humanoid robot, walking across a simulated desert, means for embodied intelligence and human-machine interactions.Back in the virtual studio, the trio shifts from advanced hardware to complex ethical challenges: Marie introduces the concept of “wicked problems,” highlighting the difficulty of defining universally acceptable solutions in scenarios such as childcare and traffic. Jim deepens the debate with Stuart Russell’s cautionary thoughts on humble and controllable AI agents. Together, they question if big organizations can truly align AI systems when perfect answers don’t exist.

  --------  

  52:55

  --------

  52:55
• Ep. 14 - Who Moved My Algorithm?

  João, Marie and Jim explore how the rise of AI is reshaping the world of work. They start with Microsoft’s 7,000-person layoff notice and ask whether this signals the end of tech’s boom years—or simply the next step in a fast-moving shift. Then it’s on to Duolingo and Shopify’s bold “AI-first” strategies. What do these statements really ask of employees, and why does the tone feel so different between Europe and North America?The conversation widens to include the hard reality of change inside established organisations. Marie brings up Who Moved My Cheese?, not for nostalgia, but to ask whether we ever truly embrace ongoing reinvention—or just ride out each wave. João argues that big companies can adapt, as long as there’s vision from the top and curiosity at the bottom. We also cover the news, as always!

  --------  

  48:16

  --------

  48:16

Fler podcasts i Teknologi

Trendiga poddar i Teknologi

Om In the Long Run