“Welcome to April 13, 2026” — The Innermost Loop
Why this is in the vault
Daily digest from the co-author of Solve Everything, processed the same day as the full book. This issue surfaces several themes that map directly onto the book’s frameworks — Jevons paradox validating the abundance flywheel, agents operating autonomously at every layer of the stack, and the economy repricing around AI capabilities. Useful as a real-time data layer on top of the strategic arguments in the master synthesis.
Bias / sponsorship check
No paid sponsors detected. Wissner-Gross writes as an independent commentator. Substack subscription CTA appears twice (standard). Tone is pro-acceleration with literary framing; no disclosure of financial positions. He does not mention Solve Everything in this issue, so no direct self-promo.
Core argument
The newsletter is structured as a single-day sweep across seven domains — faith, architecture, agents, silicon, robotics, physical science, and economics — unified by the implicit thesis that AI is simultaneously penetrating every layer of civilization. The opening line, “the Singularity is now a pastoral concern,” sets the frame: the frontier has moved past technical debate into moral and institutional territory.
Key threads:
Faith-tech collision. Anthropic hosted Christian leaders to advise on Claude’s moral development, while a commercial app charges $1.99/min to chat with an AI Jesus. The gap between institutional deliberation and market exploitation is the story.
Neural Computers (Meta). A new architecture that unifies computation, memory, and I/O into a learned runtime, trained from screen-and-action traces. This is a move toward machines that learn to operate computers by watching, not by being programmed — relevant to the L0-L5 maturation curve from Solve Everything Ch 3.
Sovereign AI stacks. Japan’s SoftBank-Sony-Honda consortium targeting a 1T-parameter “physical AI” model by 2030. Nationalization of the compute layer.
Agents loose in the stack. Linux kernel maintainer running AI-assisted fuzzing; an AI leasing a San Francisco storefront, hiring staff, setting prices. Claude for Word in beta. Anthropic reportedly building a full-stack app builder.
Jevons paradox in silicon. Google’s TurboQuant compression, intended to shrink LLM footprints, is expected to expand memory chip demand. GPU rental up 48% in two months ($4.08/hr for Blackwell). Efficiency begets more usage — the abundance flywheel from Ch 6 in action.
Robotics colonizing niches. Robotic bird decoys restoring sage grouse populations; talking robot guide dogs; Unitree humanoid at $6,806; China’s robot marathon with 40% fully autonomous entrants.
Economic repricing. Prediction markets outperforming weather forecasts. ProPublica journalists striking over AI layoffs — first US newsroom strike on AI. Half of employed Americans now use AI at work. Anthropic revenue reportedly on track to pass Google’s by Q4, Amazon’s by Q1, and the US federal government’s by Q2-Q3. Closing line: “a corporation stops being an economic entity and becomes an ontological one.”
Mapping against Ray Data Co
- Jevons paradox + abundance flywheel — directly validates the Solve Everything Ch 6 framework. Efficiency gains in inference are not reducing compute spend; they are expanding it. This is the abundance pattern RDCO should be teaching clients to anticipate rather than budget against. Strong Sanity Check angle: “cheaper inference does not mean cheaper AI.”
- Agents at every layer — the AI storefront running hiring, pricing, and design decisions is the Muddle Path made literal (Ch 8) unless there is an eval layer verifying those decisions. RDCO’s positioning as the evaluation infrastructure company is reinforced.
- Anthropic revenue trajectory — if Anthropic passes Google in revenue by Q4, the Claude-first stack decision looks prescient. Worth tracking for the Sanity Check positioning note.
- Labor pushback — the ProPublica strike and the law-firm repricing story are early signals of institutional friction. Relevant to any consulting engagement where RDCO advises on AI adoption: unions and professional norms are real constraints, not just technical ones.
- Neural Computers — if Meta’s architecture matures, it changes the substrate assumptions in Solve Everything Ch 3. Worth a concept note if more papers follow.
Related
- book-solve-everything-master-synthesis-2026-04-13 — same author; abundance flywheel, L0-L5 curve, and Muddle-vs-Rails all cited above
- book-solve-everything-ch6-the-engine-2026-04-13 — abundance flywheel framework directly validated by Jevons data in this issue
- book-solve-everything-ch8-muddle-vs-machine-2026-04-13 — the AI storefront is the Muddle Path without targeting systems
- book-solve-everything-ch3-the-mechanics-2026-04-13 — L0-L5 maturation curve relevant to Neural Computers thread
- 2026-04-12-innermost-loop-singularity-immune-response — previous day’s issue; anti-AI violence, autonomy horizons, Anthropic market share
- 2026-04-13-stratechery-mythos-muse-compute — Anthropic product strategy (Claude for Word, app builder) overlaps with agent threads here
- 2026-04-12-lindstrom-board-ai-governance — governance gaps for autonomous agents, directly relevant to the AI-storefront scenario