* 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?