The industry is sprinting toward autonomous action while skipping the onboarding step every human gets: learn what matters before anyone hands you the scalpel. Sudhir Hasbe argues graph databases are the knowledge layer—relationships over rows, feature reduction over million-token dumps, shared semantic maps over siloed agent memory.
Before you start doing, start knowing.
—Robb Wilson on organizational AGI · Invisible Machines · S7E13Tushar Deshmukh on why more data isn’t more insight—data tells you what happened, not why, and only human research reveals the why AI-scale patterns hide.
Neil Sahota on why people using AI are outpacing those who aren’t—leverage over effort, the psychology of adoption, and how to start without falling behind.
Members EssayJosh Tyson on Good Will Hunting, canonically correct knowledge, and why LLMs regurgitate books but cannot tell you what your Sistine Chapel smells like.
UX × AI SeriesTushar Deshmukh on a four-week, evidence-first guide to building genuine AI fluency—observe, prompt deeply, test against your research, then map where AI belongs in your practice.
Peter Hinssen on builders, sellers, and measurers—why AI may amplify the first two while the third merges into a radically new operating model.
UX × AI SeriesTushar Deshmukh on why AI pattern-matching is not empathy—and why calling it that can displace the human understanding design is supposed to protect.
When every team ships its own agent, customers feel fragmented CX and designers lose the system—sprawl is a governance and UX design problem, not only an IT one.
Sirte Pihlaja on the consumer-side gap—organizations built inbound AI at speed, but Gartner says machine customers who initiate service requests are coming fast.
Good Will Hunting, canonically correct knowledge, and why LLMs regurgitate books but cannot tell you what your Sistine Chapel smells like.