Whether you're trying to understand where AI fits in your growth strategy, looking to move faster on an initiative that's stalled, or exploring what a fractional engagement could mean for your organization. I'd welcome the conversation.
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Honest, experience-driven perspectives on emerging technology. Curated for executives who want signal, not noise.
“Interaction Models: A Scalable Approach to Human-AI Collaboration” reframes AI from tool to teammate. The future isn’t just smarter models, but better interaction patterns that scale trust, context, and decision-making between humans and AI.
A fascinating question: can AI be truly creative without some form of feeling or subjective experience? The future debate around AI may become as philosophical and ethical as it is technical.
OpenAI Daybreak feels like a glimpse into how AI can become more proactive, contextual, and deeply integrated into everyday work. The shift is no longer just smarter models—it’s AI evolving into a true operating layer for productivity.
Google’s report that hackers used AI to uncover a major software flaw is a wake-up call. AI is accelerating both defense and offense, forcing cybersecurity into a new era where speed, automation, and adaptability matter more than ever.
White House discussions around vetting AI models before release highlight how quickly AI is moving into regulated territory. My Harvard Business School class on model governance foresaw this shift from optional best practice to potential pre-deployment requirement.
Image AI models are now outperforming chatbot upgrades in driving app growth. Visual generation is becoming the real engagement engine—more intuitive, more viral, more sticky than text-only AI. We’re shifting from talking to creating.
Data centers moving offshore with Panthalassa’s $140M raise signals a fascinating shift—AI infrastructure powered by ocean waves and rethinking energy constraints. The next compute frontier may be as much about location as silicon.
A sharp and insightful read on why biological systems don’t map cleanly to clean software interfaces. My takeaway? The real challenge isn’t model power, it’s ambiguity, context, and messy data boundaries.
“When machines make marketers more human” is a refreshing take on AI’s role in marketing. Instead of replacing creativity, it amplifies empathy, personalization, and connection. A smart reminder that tech can elevate the human side of storytelling.