On the AI Job Market and Rediscovering Humanity
I was thinking recently about a familiar ritual that unfolds across the country every spring: college graduation. Thousands of young adults, armed with new degrees, step into the workforce eager to land their first “real” job. It’s a time of optimism, anxiety, and trying to find the right fit for their unique skills and personalities.…
The Architecture of Consciousness: Is the Brain a Quantum Computer or a Complex Network?
As humanity dives deeper into artificial intelligence, I believe the next frontier beyond AGI and ASI is what I call artificial consciousness (AC). If you treat the human brain as the ultimate engineering challenge, consciousness is its most interesting output. The debate over how the brain actually generates subjective experience has been split between a…
The AI Efficiency Trap: Why Firing Your Team Won’t Get You to 100x
Most companies are looking at AI through the wrong end of the telescope. They see tools like Claude or ChatGPT and think, “Great, I can fire half my engineers, cut my R&D budget, and build the exact same product for pennies.” This is a defensive, race-to-the-bottom mindset. If you are only using AI to shrink…
The Neuroscience of Creative Genius: Balancing Brilliance and Madness
The “Mad Genius” Paradox History has long suggested a link between madness and genius. Modern neuroscience suggests that creative geniuses may indeed possess the “right amount” of crazy. The key predictor of high creative achievement appears to be a specific cognitive combination: Reduced Latent Inhibition (a difficulty in filtering out irrelevant stimuli) paired with High IQ. In this…
Elon Musk: The Converging Tech Tree
This was one of the most useful videos I’ve seen this year. Below is the summary of some of the highlights from the video. 1. Methodology: Problem Solving & Business Creation The “Limiting Factor” Approach Musk’s primary algorithm for business and engineering is identifying and attacking the single biggest constraint holding back progress. Maniacal Urgency…
The Infinity Game
Human civilization has always been engaged in a single, desperate pursuit: the flight from our greatest fear. It is not fear of the unknown, but fear of the ending. The fear of finiteness. Mortality. The terrified realization that things run out. For millennia, we have expressed this anxiety—and our yearning for the opposite—through religion. Whether…
The Great Flattening: Imagining the Post-Hierarchy Organization in the Era of AI Agents
The release of Claude Code with Opus 4.5 last November was the inflection point for me. It vividly showed just how rapidly we can now accelerate the transformation of workflows, bringing the power of AI agents to every organization at a pace bounded by our own speed of thought and agency. We are standing on…
Vibe Coding
I’ve spent the past week living in Claude Code and Codex. Being a daily ChatGPT user alone won’t get you a true sense of what AI can already do today. Using these vibe coding platforms builds a far more direct intuition for what AI can actually achieve right now. It’s incredible how this reshapes the…
The Long Arc of Tenacity: Nancy Wexler’s Journey
Most people underestimate time. We think of effort as something you can measure in hours, days, maybe a few years at best. We live in startup time—sprints, ship cycles, quarterly OKRs. But there’s another kind of time, one that runs on decades. That’s the time Nancy Wexler lived in. Wexler’s story begins not in a…
My Life’s Priorities
I read this quote a long time ago and it has stayed with me ever since: “Someone once told me the definition of Hell: The last day you have on earth, the person you became will meet the person you could have become.” – Anonymous This idea sparked my lifelong pursuit of unlocking not only…
Foundations of the A2A Economy: AI Agent Interoperability Protocols
With the rise of Anthropic’s MCP (& quickly becoming one of the emerging open standards) and Google’s recent announcement of the Agent2Agent Protocol (A2A), it’s clear the technology world is racing full-speed toward laying the foundations of the A2A economy. What I initially thought would take years is now unfolding in mere months — a…
AI-Default Organizations
Tobi Lütke recently shared Shopify’s internal memo setting the baseline expectation for AI usage across their company. If you think back a few decades, organizations began expecting employees to use desktop computers by default. Then it was Microsoft Office. Then it was the internet. Employees who adopted these tools early were seen as far more…
Evolutionary Prompting: Using modular prompts to improve AI agent performance
There’s a lot to be said about efficiency—whether you’re writing code or crafting prompts for an AI. The basic idea is simple: if you can break something complicated into reusable, modifiable parts, you can build better systems faster. In AI, that means rethinking how we write prompts for LLMs and AI agents. Modular Prompts: The…
The Three Stages of the A2A Economy
In just a few years, AI—specifically OpenAI—has transformed what was once an interesting toy into a force that’s reshaping various industries and jobs in a non-linear way. Enter the new economic paradigm, known as the agent-to-agent (A2A) economy, where AI-driven agents from different organizations—or even between businesses and consumers—collaborate, negotiate, and transact autonomously. At the…
Rise of the A2A economy: How AI agent-to-agent interactions will reshape the world
At Sendbird, we’ve been actively working with companies across the globe that are considering the adoption of conversational AI to enhance their customer service. During this process, we’ve encountered many forward-looking enterprises eager to accelerate their adoption of AI agents—not just for customer service, but also to drive transactions and revenue growth. This got us…
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