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The Download: The Pentagon’s new AI plans, and next-gen nuclear reactors

View original at technologyreview.com
MIT Technology Review - Ai Research Title: The Download: The Pentagon’s new AI plans, and next-gen nuclear reactors Date: 2026-03-18 12:38 Source: https://www.technologyreview.com/2026/03/18/1134371/the-download-the-pentagons-new-ai-plans-and-next-gen-nuclear-reactors/ <p><em>This is today’s edition of </em><a href="ht…
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What we drew from this source

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  • The Pentagon plans to set up secure environments for generative AI companies to train military-specific versions of their models on classified data

    60% confidence
  • Allowing AI models to train on and learn from classified data is a major new development that presents unique security risks

    60% confidence
  • OpenClaw is now the largest, most popular, the most successful open-sourced project in the history of humanity and is definitely the next ChatGPT

    60% confidence
  • AI models like Anthropic's Claude are already used to answer questions in classified settings, including for analyzing targets in Iran

    60% confidence
  • Training on classified data would embed sensitive intelligence—like surveillance reports or battlefield assessments—into the models themselves

    60% confidence
  • An approaching wave of new nuclear reactors could introduce fresh challenges to nuclear waste management

    60% confidence
  • The Pentagon wants to mass-produce the Lucas kamikaze drones it used to strike Iran

    60% confidence
  • Uncrewed narco subs could move more cocaine over longer distances without putting human smugglers at risk of capture

    60% confidence
  • US officials say Anthropic can't be trusted with warfighting systems

    60% confidence
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Enterprise Software Races to Govern and Consolidate Around Agentic AI
Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
We flag conflicts openly ›
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