The Dark Art of AI Marketing
THE SO WHAT
Risk-forward AI narratives are now a marketing channel — when CEOs talk existential danger, they’re also segmenting customers and regulators. If you’re selling AI, decide explicitly whether your brand leans into safety theater, raw capability, or infrastructure pragmatism, because the middle is disappearing.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIScribing startup Abridge adds NEJM, JAMA as it moves into medical AI search
Abridge stitching NEJM and JAMA into its workflow is the real moat move—control the clinician’s point-of-care search and the scribe becomes the operating system for the exam room. If you’re selling into providers, assume the battle is shifting from “AI note-taking” to “clinical decision surface” and align integrations, not features, around that.
Applied AIOpenAI's $852B Valuation Not Too High: Vinod Khosla
Treat an $852B private valuation as a macro input—capital is pricing in that frontier model spend on chips and data centers will stay unconstrained for years. If you’re not at that scale, your edge is not “better models” but faster verticalization, lower latency on decisions, and ruthless focus on unit economics while the giants optimize for total addressable compute.
Applied AITrump’s posting even more AI-generated Trump-Jesus fanart
AI-generated religious-political fanart at this scale turns content moderation into a constitutional minefield—platform rules now intersect directly with speech, faith, and identity. If your product hosts user-generated media, you need a playbook for synthetic content that’s symbolically loaded, not just porn and spam filters.
Show HN: Jeeves – TUI for browsing and resuming AI agent sessions
A terminal UI to search and resume agent sessions across Claude and Codex is a small but telling move—agent output is becoming a knowledge corpus that needs its own observability layer. If your team is leaning into agents, start treating runs as assets to be indexed, audited, and replayed, not disposable chat logs.