# Compute Allocation **Entity class:** Political-economic mechanism **Domain:** Artificial intelligence / infrastructure / public goods **Maturity:** Developed ## Definition Compute allocation is the process by which scarce training, inference, memory, energy, and accelerator capacity is assigned among competing users and purposes. ## Mechanism and significance Prices, contracts, reservation horizons, public procurement, university access, ownership, and strategic relationships decide which experiments and products receive machine capacity. When demand outruns supply, allocation becomes a form of priority-setting. ## Relationships - [[wiki/Compute Scarcity|Compute Scarcity]] - [[wiki/AI for Science|AI for Science]] - [[wiki/AI Governance|AI Governance]] - [[wiki/Moonshots - The Coming Manhattan Project|Moonshots — The Coming Manhattan Project]] ## Sources and provenance - [[research/All Things Superintelligence Research - The Coming Manhattan Project - Moonshots|All Things Superintelligence Research — The Coming Manhattan Project — Moonshots]] — episode transcript, reconciled against the preserved ElevenLabs timing layer. - [[research/All Things Superintelligence Research - The Coming Manhattan Project - Moonshots - Reminder and Wiki Preparation|Reminder and Wiki Preparation]] — coherent-thought ledger and evidence boundaries. ## Evidence boundary Market price reveals willingness to pay, not a complete measure of scientific, civic, or health value. Public allocation can also fail through capture, poor evaluation, or political favoritism. ## Simple Reminders, Quotations, and Thoughts > Recursive self-improvement may become the highest-value use of a frontier laboratory’s own tokens. If stronger models generate more future value than outside applications, socially valuable work can lose compute to the development of the next model generation. > **— Adapted from Alexander Wissner-Gross**, *Moonshots, October 7, 2026* [[reminders/Machine Succession/Recursive Self-Improvement May Become the Most Valuable Use of Frontier Tokens by Alexander Wissner-Gross|Recursive Self-Improvement May Become the Most Valuable Use of Frontier Tokens by Alexander Wissner-Gross]] > Open science needs a compute-backed tech tree for humanity: reserve part of frontier capacity, organize collective knowledge into explicit problem sets, and let human question-setting direct machine research toward public goods. > **— Adapted from Emad Mostaque**, *Moonshots, October 7, 2026* [[reminders/Scientific Literacy/Open Science Needs a Compute-Backed Tech Tree for Humanity by Emad Mostaque|Open Science Needs a Compute-Backed Tech Tree for Humanity by Emad Mostaque]] > When frontier compute is scarce enough to be overbid, leased at extraordinary cost, or allocated through privileged relationships, scientific merit no longer determines who can run an experiment. Access politics becomes part of the research method. > **— Adapted from Dave Blundin**, *Moonshots, October 7, 2026* [[reminders/AI Infrastructure/Compute Scarcity Turns Scientific Merit Into Access Politics by Dave Blundin|Compute Scarcity Turns Scientific Merit Into Access Politics by Dave Blundin]] > Willingness to pay is not the same thing as public value. A persuasive consumer system can absorb scarce GPUs because selling products is lucrative while disease research goes unfunded, which is why governments and universities must participate in deciding who gets compute and why. > **— Adapted from Dave Blundin**, *Moonshots, October 7, 2026* [[reminders/AI Infrastructure/Market Allocation Can Send Compute to Persuasion Instead of Public Health by Dave Blundin|Market Allocation Can Send Compute to Persuasion Instead of Public Health by Dave Blundin]] > Compute scarcity can delay mundane automation even when the software exists. If disease research, scientific simulation, robotaxis, customer service, and domestic robots compete for the same chips, capacity flows first toward the applications expected to create the most value per token. > **— Adapted from Alexander Wissner-Gross**, *Moonshots, October 7, 2026* [[reminders/AI Infrastructure/Compute Scarcity Can Delay Mundane Automation for Higher-Value Research by Alexander Wissner-Gross|Compute Scarcity Can Delay Mundane Automation for Higher-Value Research by Alexander Wissner-Gross]]