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Mira Murati and John Schulman July 10, 2026 manifesto — distributed AI, Tinker fine-tuning, multimodal collaboration vs centralized frozen models. Decentralized alignment, Hayek tacit knowledge, vs METR autonomy charts.
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On July 10, 2026, Thinking Machines Lab published The Future Worth Building Is Human — a full manifesto from the lab Mira Murati and John Schulman built after leaving OpenAI, backed by a reported $2 billion seed round.
The thesis in one line: AI should extend human will and judgment — not freeze a snapshot of organizational knowledge and replace the people who generate it.
Same week as GPT-5.6 Sol rollout and OpenAI's $50K bio jailbreak bounty, Thinking Machines is arguing the industry's autonomy race measures the wrong thing.
| Theme | Thinking Machines position |
|---|---|
| Mission | Extend human will and judgment |
| Anti-pattern | Frozen models trained in few places, not shaped by users |
| Pro-pattern | Distributed AI as diverse as the people it serves |
| Tools | Tinker — train open-weights with your knowledge |
| Interfaces | Interaction models — live multimodal collaboration in the model |
| Research | Connectionism publications — open science |
| Alignment | Decentralized — many AIs, not one spec |
| Benchmarks | Skeptical of METR-only autonomy horizons |
The essay opens with tacit, local knowledge — Polanyi and Hayek cited explicitly:
Toyota callback: Mitsuru Kawai brought master craftsmen back to automated lines — "To be the master of the machine, you have to have the knowledge and the skills to teach the machine."
explainx.ai read: This is the philosophical counterweight to agents' last exam and METR time-horizon charts — those measure solo agent hours; Thinking Machines wants joint human-machine outcomes as the optimization target.
From the manifesto:
Murati's X thread (July 10) tied the year-one recap: interaction model previews, Tinker for anyone training open weights, Connectionism research drops.
Key claims:
| Problem | Thinking Machines answer |
|---|---|
| Narrow channel | Text box + latency can't carry rich intent → bet on native multimodal interaction in the model |
| Wrong metric | METR task-completion horizons track solo autonomy, not collaborative yield |
| Incentive mismatch | Single rented model benefits from absorbing user distinctiveness; customized AI benefits when customers own specialized advantages |
Parallel on explainx.ai: Fable advisor + Sonnet executor and Matt Shumer's goal/bar loops are practitioner versions of "don't optimize only for solo agent hours."
The manifesto's sharpest policy section:
Vision: An ecosystem of AIs — raised in different places, disagreeing like humans — vs one averaged morality from a handful of labs.
Contrast July 2026:
| Lab | Alignment shape |
|---|---|
| OpenAI | Central GPT-5.6 + bio bounty + government preview |
| Anthropic | Classifier-gated Fable 5 |
| Thinking Machines | Own weights + local shaping + diverse ecosystem |
Murati's July 10 thread referenced work already public:
The manifesto is the why behind those products — not a sudden pivot.
Enterprise AI leads — manifesto articulates why renting one frontier model may erode proprietary know-how.
Open-weight builders — Tinker narrative aligns with Ollama funding and sovereign AI threads.
Policy readers — decentralized alignment as alternative to export-control theater and single-lab value lock-in.
Agent engineers — critique of METR-only success metrics; design for human-in-the-loop yield, not autonomous hours alone (human-in-the-loop guide).
Official: The Future Worth Building Is Human · @thinkymachines · @miramurati
Manifesto themes and product references reflect Thinking Machines Lab's July 10, 2026 publication. Funding figures and product timelines cited from public reporting and lab posts — verify on thinkingmachines.ai.
