Ethan Mollick on co-existence with AI as co-intelligence era ends
Ethan Mollick's Substack post reflects on the evolving relationship between humans and AI systems, framing a transition away from a 'co-intelligence' paradigm toward something new. The piece appears to address how humans and AI will coexist as AI capabilities advance beyond collaborative augmentation. As a commentary from a prominent AI-and-work researcher, it likely signals a shift in how practitioners and policymakers should think about human-AI collaboration.
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Welcome to the AGI era of AI governance
A commentary piece from Interconnects argues that AI governance has entered an 'AGI era,' framing this as a one-way transition that the field was unprepared for. The piece appears to analyze the governance and policy implications of AI systems reaching or approaching AGI-level capabilities. The framing suggests a significant shift in how AI oversight and regulation must be approached.
MIT Technology Review: Leadership challenges in hybrid human-AI enterprises
MIT Technology Review examines how leadership teams are adapting to a projected 300% surge in AI agent adoption over the next two years. The piece focuses on the organizational and managerial implications of AI agents that autonomously coordinate complex tasks across tools and environments, distinguishing them from prior automation paradigms. The article addresses strategic and workforce management questions for enterprises integrating agentic AI.
Real AI Agents and Real Work
A commentary piece from One Useful Thing examining the practical deployment of AI agents in real work contexts, framing the tension between human-centered work and AI-generated productivity outputs. The piece appears to analyze how autonomous AI agents are changing knowledge work workflows. Published by a Tier 2 source known for applied AI analysis aimed at practitioners and researchers.
Google I/O Signals Shift in AI-Driven Science Strategy
MIT Technology Review analyzes Demis Hassabis's remarks at Google I/O 2026, where he described humanity as 'standing in the foothills of the singularity.' The piece examines how Google DeepMind's public framing and strategic direction for AI in scientific research is evolving. The commentary reflects on broader shifts in how major labs are positioning AI as a tool for accelerating scientific discovery.
Some ideas for what comes next, May 2026
A commentary piece from Interconnects surveying the current AI landscape and speculating on near-term developments. Topics covered include Gemini Flash 3.5, a model called Mythos, the open-versus-closed model balance, America's open-source momentum, and emerging power dynamics among AI labs. The piece appears to be a monthly forward-looking analysis rather than a news report.
[AINews] The Other vs The Utility
A Latent Space commentary piece uses a quiet news day to reflect on the conceptual debate around AI 'character' — framed as 'Clippy vs Anton' — contrasting utility-focused AI design against AI systems conceived as having genuine character or personhood. The piece appears to engage with ongoing discourse about how AI assistants should be designed and perceived. As a tier-2 commentary source, this represents a research-commentary entry on AI alignment and design philosophy.
Making AI Work: Leadership, Lab, and Crowd
This commentary from One Useful Thing proposes a framework for organizational AI adoption centered on three elements: leadership commitment, structured experimentation (lab), and distributed employee engagement (crowd). The piece offers practical guidance for companies navigating AI integration. As a tier-2 commentary source, it reflects practitioner thinking on enterprise AI deployment patterns rather than reporting new technical developments.
Against "Brain Damage": AI's Effect on Human Thinking
This commentary from One Useful Thing examines whether AI use helps or harms human cognitive capabilities. The piece engages with the ongoing debate about whether reliance on AI tools degrades or augments human thinking. It likely addresses concerns about cognitive offloading and the conditions under which AI assistance is beneficial versus detrimental.