In the Long Run

In this In the long run episode, Marie and João discuss the implications of advancements in AI, specifically focusing on the difference between AI systems designed for categorization versus those that generate unpredictable outputs. They explore how these contrasting approaches relate to human behavior and organizational structures, questioning the limitations of solely relying on predictable systems. In the rapid fire news section they also touch upon recent AI developments, such as OpenAI's new model and Google's Gemini 2.0, and consider the practical applications and challenges of these technologies. Finally, the conversation concludes with some remark connected to the recent developments and the potential of quantum computing and its implications for future innovations.

In this episode Marie returns to have an insightful discussion with Jim and Joao around a study called "Generative Agent Simulations of 1,000 People" focused on computational agents that replicate human behavior across domains. They explore how such solution can be leveraged to support leadership in terms of decision making and what kind of implication such approach might have.

In the rapid-fire segment, Jim, Marie and Joao share their view on the recent actions of Elon Musk adventures as well as a short reflection on a recent study that showed that AI outperforms humans as well as humans assisted by AI.

Tune in for an insightful discussion on the current state of AI technology, its future direction, and what these developments mean for the journey toward AGI.

This episode goes into the ongoing debate about the limits of AI scaling laws and the path toward Artificial General Intelligence (AGI). With Marie absent, the Joao and Jim explore whether we’re approaching a plateau in AI advancements due to limitations in computing power and data availability. They discuss recent news suggesting that companies like OpenAI and Google DeepMind might be struggling to achieve expected results with new models, questioning if simply adding more computational power and data is a sustainable strategy.

In the rapid-fire segment, Joao and Jim share their hands-on experiences with current AI tools like Apple Intelligence and Microsoft Copilot, comparing them to more advanced tools like ChatGPT and Claude.

Tune in for an insightful discussion on the current state of AI technology, its future direction, and what these developments mean for the journey toward AGI.

In this episode of In the Long Run, hosts Marie, Joao, and Jim take a good hard look at the complexities of human identity in an increasingly AI-driven world. They discuss WorldCoin, a project co-founded by Sam Altman, which aims to verify human identity through biometric data using “orbs” to differentiate humans from AI bots.

The conversation explores the challenges of trust and identity verification in the age of deepfakes and AI agents. They debate whether it’s essential to distinguish between humans and AI, and how concepts like WorldCoin could impact privacy, security, and societal norms. The hosts also examine the role of governments versus private entities in managing identity verification and the potential implications of decentralized systems.

They touch upon the distribution of benefits from Artificial General Intelligence (AGI) and the ethical considerations of such advancements. Join us as we navigate the intricate intersection of technology, trust, and what it truly means to be human in the digital age.

In this episode of In the Long Run, we go into the intriguing world of AI agents and agentic patterns. They explore what truly defines an AI agent, discuss the differences between agents and agentic frameworks, and consider the implications of integrating more AI agents into our daily lives. The conversation touches on real-world applications in finance and robotics, examining when it’s preferable for humans versus AI to make decisions.

After the break, they introduce Google’s Notebook LLM, a cutting-edge tool that allows users to interact with their documents in innovative ways—like chatting with PDFs and generating podcasts from text. The hosts share their personal experiences with the tool, discussing how it enhances productivity and caters to different learning styles.

Join us as we navigate the potential of AI agents and tools like Notebook LLM to transform how we work, access information, and collaborate with technology.

In this episode of In the Long Run, Joao, Marie and Jim dive into the exciting world of OpenAI’s latest release—the O1 preview model. Designed to spend more time “thinking” before responding, this new AI model is breaking barriers in complex problem-solving, coding, and mathematics. The hosts discuss how this represents a significant leap in AI capabilities, possibly even challenging our definitions of intelligence.

They also explore the evolving relationship between humans and AI, debating whether AI could be considered a new form of intelligence or even a separate “species.” The conversation touches on the importance of collaboration between humans and AI, the ethical considerations of AI-assisted creations, and how organizations can adapt to these rapid technological advancements.

Join us as we navigate the implications of this paradigm shift and ponder what it means for the future of work, research, and society at large.