Interpretation of the White House's latest "Genesis Plan": Reshaping the American research system with AI

CN
4 hours ago

In-depth exploration of the specifics of this command and how it will reshape the landscape of artificial intelligence, energy, and science over the next decade.

Author: Ask Perplexity

Compiled by: Deep Tide TechFlow

White House Launches "Genesis Mission": AI Version of the "Manhattan Project" Officially Debuts

The U.S. Department of Energy (DOE) will build a national-level AI platform based on American supercomputers and federal scientific data, aimed at training foundational models in the scientific field and running AI agents and robotic laboratories to achieve experimental automation in biotechnology, critical materials, nuclear fission/fusion, space, quantum technology, and semiconductors.

Let’s delve into the specifics of this command and how it will reshape the landscape of artificial intelligence, energy, and science over the next decade:

Core: A New "U.S. Science and Security Platform"

The Department of Energy (DOE) is tasked with transforming the national laboratory system into an integrated technological architecture that provides the following functions:

  • High-Performance Computing (HPC): Supports large-scale model training, simulation, and inference

  • Domain-Specific Foundational Models: Covers disciplines such as physics, materials, biology, and energy

  • AI Agents: Used for exploring design spaces, evaluating experiments, and automating workflows

  • Robotic/Automated Laboratories and Production Tools: Supports AI-driven experiments and manufacturing

This means building a "national-level AI scientist" and "AI laboratory technology" as part of the infrastructure.

Clear and Highly Strategic Goals

Within 60 days, the Department of Energy must propose at least 20 "national challenges" covering the following areas:

  • Advanced Manufacturing

  • Biotechnology

  • Critical Materials

  • Nuclear Fission and Fusion

  • Quantum Information Science

  • Semiconductors and Microelectronics

This plan aims to ensure energy dominance, supply chain security, and national defense capabilities.

Urgent Timeline to Ensure Implementation of the Plan:

  • Within 60 days → Propose a list of "national challenges"

  • Within 90 days → Complete a comprehensive inventory of federal computing, networking, and storage resources required for the Genesis plan

  • Within 120 days → Provide initial models and data assets, and develop a plan to introduce more datasets (including data from other government agencies, academia, and the private sector)

  • Within 240 days → Map the distribution of all robotic laboratories and automated facilities in national laboratories

  • Within 270 days → Demonstrate initial operational capabilities in at least one national challenge

Goal: To launch a complete AI scientific cycle system within 9 months.

Establishing a Federal AI Technology Stack Parallel to Commercial AI

The command explicitly requires the Department of Energy (DOE) and the White House Office of Science to:

  • Integrate AI projects and datasets from various agencies into this platform

  • Launch joint funding programs and incentive projects

  • Build a collaboration framework with external partners (including co-development agreements, user facility sharing, data/model sharing, and intellectual property rules)

Nvidia, OpenAI, Anthropic, xAI, Google, cloud service providers, biotechnology companies, and chip companies will become potential suppliers and co-developers of the DOE AI system.

The Genesis Plan Marks a Clear Shift

So far, the development of cutting-edge AI has primarily been driven by private laboratories. With the launch of the Genesis plan, the U.S. is clearly building a nationally-led AI backbone network to serve the fields of science, energy, and security:

  • Coordinated by the Department of Energy (DOE) to establish a national-level "AI Science Platform"

  • National laboratories and supercomputers will become part of a unified AI technology stack

  • Models, AI agents, and robotic laboratories are viewed as strategic infrastructure, not just tools

The next questions are: Who will provide the computing power and models? How will intellectual property and data be shared? How quickly will other countries launch initiatives similar to the Genesis plan?

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