AI as the Anti-product – Guest Talk with Peter Wang
Peter Wang (Anaconda co-founder, now Chief AI Officer, and founder of the Sky Seed fund) argues that modern software/AI development is best understood through a complexity-versus-complication lens: tool stacks like CUDA and PyTorch remain complicated (Boeing-747-style, decomposable) while the models and ecosystems they produce are genuinely complex and emergent, and 'vibe coding' represents a quasi-religious third mode of engaging code beyond craftsmanship and managerial industrialization. He traces how Anaconda/NumPy's open-source success came from humble, itch-scratching human ecologies (e.g. Travis Oliphant merging numeric and numarray into NumPy) rather than top-down design, and warns that protocols like AT Protocol/Blue Sky must avoid centralized 'technocratic' forced upgrades, instead preserving pluralistic values across nodes the way open source avoided forced EOL upgrades.
Peter Wang