AI Agents & the Future of Human Experience + Always On AI Wearables + Artificiality Updates for 2025

AI Agents & the Future of Human Experience + Always On AI Wearables + Artificiality Updates for 2025

Author: Helen and Dave Edwards January 17, 2025 Duration: 27:14

Science Briefing: What AI Agents Tell Us About the Future of Human Experience * What These Papers Highlight - AI agents are improving but far from capable of replacing human tasks. Even the best models fail at simple things humans find intuitive, like handling social interactions or navigating pop-ups. - One paper benchmarks agent performance in workplace-like tasks, showing just 24% success on even simple tasks. The other argues that agents alone aren’t enough—we need a broader system to make them useful. * Why This Matters - Human Compatibility: Agents don’t just need to complete tasks—they need to work in ways that humans trust and find relatable. - New Ecosystems: Instead of relying on better agents alone, we might need personalized digital “Sims” that act as go-betweens, understanding us and adapting to our preferences. - Humor in Failure: From renaming a coworker to "solve" a problem to endlessly struggling with pop-ups, these failures highlight how far AI still is from grasping human context. * What’s Interesting - Humans vs. Machines: AI performs better on coding than on “easier” tasks like scheduling or teamwork. Why? It’s great at structure, bad at messiness. - Sims as a Bridge: The idea of digital versions of ourselves (Sims) managing agents for us could change how we relate to technology, making it feel less like a tool and more like a collaborator. - Impact on Trust: The future of agents will hinge on whether they can align with human values, privacy, and quirks—not just perform better technically. *What’s Next for Agents - Can agents learn to navigate our complexity, like social norms or context-sensitive decisions? - Will ecosystems with Sims and Assistants make AI feel more human—and less robotic? - How will trust and personalization shape whether people actually adopt these systems? Product Briefing: Always On AI Wearables * What’s new: - New AI wearables launched at CES 2025 that continuously listen. From earbuds (HumanPods) to wristbands (Bee Pioneer) to stick-it-to-your-head pods (Omi), these cheap hardware devices are attempting to be your always-listening assistants. * Why This Matters - From Wake Words to Always-On: These devices listen passively—no activation required—requiring the user to opt-out by muting rather than opting in. - Privacy? Pfft: Not only are these devices small enough to hide and record without anyone knowing. The Omi only turns on a light when it is not recording. - Razor-Razorblade Model: With hardware prices below $100, these devices are priced to all for easy experimentation—the value is in the software subscription. * What’s Interesting - Mind-reading?: Omi claims to detect brain signals, allowing users to think their commands instead of speaking. - It’s About Apps: The app store is back as a business model. But are these startups ready for the challenge? - Memory Prosthetics: These devices record, transcribe, and summarize everything—generating to do lists and more. * The Human Experience - AI as a Second Self?: These devices don’t just assist; they remember, organize, and anticipate—how will that reshape how we interact with and recall our own experiences? - Can We Still Forget?: If everything in our lives is logged and searchable, do we lose the ability to let go? - Context Collapse: AI may summarize what it hears, but can it understand the complexity of human relationships, emotions, and social cues?


Hosted by Helen and Dave Edwards, Stay Human, from the Artificiality Institute is a conversation that lives in the messy, human space between our tools and our selves. Each episode digs into the subtle ways artificial intelligence is reshaping our daily decisions, our creative impulses, and even our sense of identity. This isn't a technical manual or a series of futuristic predictions; it's a grounded exploration of how we maintain our agency in a world increasingly mediated by algorithms. The podcast operates from a core belief: that our engagement with AI should be about more than just safety or efficiency-it needs to be meaningful and worthwhile. You'll hear discussions rooted in story-based research, where complex ideas about cognition and ethics are unpacked through relatable narratives and real-world examples. The goal is to provide a framework for thoughtful choice, helping each of us consciously design the relationship we want with the machines in our lives. Tuning in offers a chance to step back from the hype and consider how we can actively remain the authors of our own minds, preserving what makes us uniquely human even as the technology evolves. It's an essential listen for anyone curious about the personal and philosophical dimensions of our digital age.
Author: Language: en-us Episodes: 100

Stay Human, from the Artificiality Institute
Podcast Episodes
Helen Edwards and Dave Edwards: Make Better Decisions [not-audio_url] [/not-audio_url]

Duration: 37:04
We humans make a lot of decisions. Apparently, 35,000 of them every day! So how do we improve our decisions? Is there a process to follow? Who are the experts to learn from? Do big data and AI make decisions easier or ha…
Kat Cizek and William Uricchio: Co-Creation [not-audio_url] [/not-audio_url]

Duration: 55:43
We all do things with other people. We design things, we write things, we create things. Despite the fact that co-creation is all around us it can be easy to miss because creation gets assigned to individuals all too oft…
Gerd Gigerenzer: Staying Smart [not-audio_url] [/not-audio_url]

Duration: 1:01:40
How should we respond and react to artificial intelligence and its impact on the world and each other? How should we handle the risk and uncertainty risk caused by the permeation of AI throughout our lives? To tackle the…
Eric Pliner: Difficult Decisions [not-audio_url] [/not-audio_url]

Duration: 59:20
We all want decision-making to be easier. We want simple tools and frameworks that provide a process for no-regrets decisions. But it just isn’t that easy. Despite how much we understand about the science of decision-mak…
Tom Hale: Oura Ring and the New Data of Health [not-audio_url] [/not-audio_url]

Duration: 57:08
We’d all like to be healthier—to sleep longer, have lower stress, and have more energy. But is it possible for an AI to help us accomplish this? And how would that experience feel? What data would we need to provide? How…
Frank Rose: Storytelling in a Data-Driven World [not-audio_url] [/not-audio_url]

Duration: 59:17
We all love stories—they are one of the most important ways that humans communicate. Stories create heroes to root for and villains to revile. Stories create realities and help us align our values and objectives with oth…
Ben Shneiderman: Human-Centered AI [not-audio_url] [/not-audio_url]

Duration: 1:03:52
Many of our listeners will be familiar with human-centered design and human-computer interaction. These fields of research and practice have driven technology product design and development for decades. Today, however, t…
Julio Mario Ottino: The Nexus [not-audio_url] [/not-audio_url]

Duration: 59:41
“How can we augment our thinking spaces to increase creative solutions? How can we make those solutions real by mastering complexity?” Julio Mario Ottino and Bruce Mau ask and answer these questions in their ambitious an…
Mark Nitzberg: Human-Compatible AI [not-audio_url] [/not-audio_url]

Duration: 54:11
We hear a lot about harm from AI and how the big platforms are focused on using AI and user data to enhance their profits. What about developing AI for good for the rest of us? What would it take to design AI systems tha…
Barbara Tversky: Spatial Cognition [not-audio_url] [/not-audio_url]

Duration: 1:07:01
Have you ever wondered why you can recognize and remember things but can’t describe them in words? That is one of the questions that started Barbara Tversky’s contrarian research and academic career, leading to her theor…