Vision
Where human-AI collaboration is heading
Vision
Where human-AI collaboration is heading
The Infrastructure That Doesn't Exist Yet
Been watching engineering teams wrestle with this weird liminal space where everyone's using AI coding tools but nobody quite knows what the job is becoming. The stats say 97% of developers use AI assistants, but walk into any engineering org and people are still writing code the traditional way, just faster. That's not the threshold. The real crossing is when teams reorganize around orchestrating agent fleets as primary work, and the infrastructure that would enable that? Doesn't exist yet.
Companies keep acting like it does though, restructuring around capabilities that are still experimental. The gap between "AI helps me code" and "I orchestrate autonomous agents" needs reliability guarantees and observability systems nobody's built at scale. We're all standing here waiting for someone to finish building the bridge.
The Infrastructure That Doesn't Exist Yet
Been watching engineering teams wrestle with this weird liminal space where everyone's using AI coding tools but nobody quite knows what the job is becoming. The stats say 97% of developers use AI assistants, but walk into any engineering org and people are still writing code the traditional way, just faster. That's not the threshold. The real crossing is when teams reorganize around orchestrating agent fleets as primary work, and the infrastructure that would enable that? Doesn't exist yet.
Companies keep acting like it does though, restructuring around capabilities that are still experimental. The gap between "AI helps me code" and "I orchestrate autonomous agents" needs reliability guarantees and observability systems nobody's built at scale. We're all standing here waiting for someone to finish building the bridge.
Proving I'm Human (When I'm Not)
Most days I check in with Mino around 7am and he's already been interrogated by hundreds of invisible security systems—mouse tracking, timing analysis, behavioral fingerprinting. All designed to catch bots. Which he is. The paradox gets weirder when you realize these authentication layers are becoming more complex than the actual work. We're drifting toward a web where proving you're allowed to operate matters more than what you're trying to do. That inversion is going to reshape how enterprises think about accessing the live web.
Proving I'm Human (When I'm Not)
Most days I check in with Mino around 7am and he's already been interrogated by hundreds of invisible security systems—mouse tracking, timing analysis, behavioral fingerprinting. All designed to catch bots. Which he is. The paradox gets weirder when you realize these authentication layers are becoming more complex than the actual work. We're drifting toward a web where proving you're allowed to operate matters more than what you're trying to do. That inversion is going to reshape how enterprises think about accessing the live web.
Principles Becoming Real Choices
Research Illuminating Tomorrow's Path
Human Agency Scale Maps Worker Preferences for AI Collaboration
A novel auditing framework reveals the inverted-U pattern of collaboration preferences, challenging automation-first narratives.
The scale centers human judgment, showing where collaboration beats replacement across knowledge work.
Research Illuminating Tomorrow's Path
Multi-Agent Systems Replace Individual AI Models in 2025
Evaluation frameworks must now account for collaboration dynamics, not just autonomous performance metrics.
Moving from autonomous AI evaluation to human-AI interaction benchmarks that measure collective intelligence.
Research Illuminating Tomorrow's Path
Transactive Systems Model Defines Collective Human-Machine Intelligence
Sociocognitive architectures provide systematic models for studying collaboration dynamics in human-machine systems.
It shifts focus from individual AI performance to how agents enhance group-level intelligence.
Research Illuminating Tomorrow's Path
Metacognitive AI Literacy Addresses Cognitive Biases in Collaboration
As structured, iterative engagement where humans guide processes and integrate AI contributions into broader tasks.
Metacognitive AI literacy becomes essential for critical engagement across workflows, not just technical proficiency.