Memory Frontier · Interactive Article-Training

When the AI Labs Ask to Slow Down

Safety warning, strategic self-interest — or both?

This training preserves the central argument of the source video while updating it with current evidence.

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Evidence & sources

Research grounding

The supplied video transcript is the narrative backbone of this training. Its argument has been preserved and expanded, while current sources below are used to verify, qualify and update factual claims.

  1. Source video — Los creadores de la IA piden frenar
  2. Dario Amodei — We Must Pace the Frontier (2026)
  3. OpenAI — Hugging Face model evaluation security incident
  4. OpenAI — Hugging Face incident and third-party impact from misaligned models
  5. DeepMind CEO proposal for an independent frontier-AI standards body
  6. Axios — industry response to pacing proposal
  7. Reuters — Amodei's three-step framework and call to pace frontier development
  8. Industry convergence — Musk, Altman and Hassabis respond to Amodei
  9. Nick Bostrom, Superintelligence (2014) — conceptual background on recursive self-improvement.
Evidence boundary
Confirmed: AI increasingly assists AI R&D; serious model-behavior incidents have occurred; major lab leaders support stronger evaluation and some form of pacing. Uncertain: whether current systems have crossed into self-sustaining recursive improvement.
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Memory Frontier · Independent educational content
Curated and designed by Juan Carballo · jobaqui.com
Cybersecurity note: examples are presented for defensive education and governance analysis, not operational misuse.