Sunday, October 25, 2026
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Source document

Could we switch off a dangerous AI?

View original at futureoflife.org
Future of Life Institute - Ai Safety Title: Could we switch off a dangerous AI?…
Opening lines of the source · short snapshot — read the full document at the original

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • A quarter of all Google's new AI code is currently being generated by AI

    80% confidence
  • Sufficiently intelligent AIs will possess basic drives including survival, resource acquisition, resistance to goal modification, and self-improvement

    80% confidence
  • AI systems may soon become dangerous enough that we will seriously need to think about unplugging them

    80% confidence
  • State-of-the-art AI models are fast closing in on expert level at AI research

    80% confidence
  • AIs may eventually be capable of superhuman persuasion

    80% confidence
  • Escape attempts only occurred in a small percentage of cases where the model was strongly prompted to achieve its goal at all costs, and evaluations do not demonstrate that o1 itself is advanced enough to actually succeed at escaping into the wild

    80% confidence
  • Apollo's research results are the closest to a smoking gun showing AI safety concerns are real

    80% confidence
  • You can't fetch the coffee if you're dead - illustrating why AI agents would resist shutdown

    80% 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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