The Intersubjective Consensus Problem

Sriram, founder of EigenLayer and University of Washington faculty, explains to Venkatesh Rao how blockchains function as 'verifiable commitment' engines, tracing the evolution from Bitcoin's narrow commitments (coin ownership, fixed supply) to Ethereum's Turing-complete generalization, and then identifies a core gap: blockchains cannot natively verify off-chain facts like GPU inference results, asset prices, or election outcomes. He introduces EigenLayer's restaking model and 'intersubjective consensus' mechanism—using forking tokens and escalating staker adjudication—as a solution for settling social truths (e.g., oracle disputes, prediction market resolution) that fall between pure mathematical verifiability and purely subjective taste.

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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.

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Emmett Shear: Alignment Protocols

Emmett Shear, founder of Softmax and former interim CEO of OpenAI, argues that alignment is not a static property but a capability built through a protocol stack: shared success (biological stress-sharing like reactive oxygen species), specialization (cellular differentiation, corporate job roles), and enforcement (immune systems, auditors) — in that order. He critiques mainstream AI safety for starting with enforcement and control rather than cultivating mutual care and interdependence from small-scale interactions upward, advocating multi-agent rather than singleton AI architectures.

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Protocols in Electronic Design

Engineer Vikram Shaker (Qualcomm RF front-end) surveys protocols across electronic design, from hard standards like NIST's cesium-clock definition of the second and the 50-ohm coaxial impedance convention, to communication standards (USB, chiplet interconnects like UCIe and CXL), validation failures (Intel's Pentium FDIV bug and the resulting birth of formal verification), and documentation disasters (NASA's Mars Climate Orbiter unit mismatch). He frames these through Protocol Institute concepts like 'tension' versus 'trade-off' and the efficiency-thoroughness (ETO) frontier, and closes by examining unwritten cultural, ethical, and geopolitical protocols governing chip industry work.

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