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GLM-5.3 scores 160, beats GPT-5.4 on Cyber ECI

, 5 items in AI Policy and Ethical Considerations, 3 min read

In this digest (5 items)

GLM-5.3 achieved a score of 160 on the Cyber ECI, surpassing OpenAI’s GPT-5.4 released in March. A 6-9 month lag in stable objective time is described as a growing amount.

Key points

  • Lag: consistently behind in stable objective time (“6-9 months”) is a growing amount.

  • Benchmark: Zai’s GLM-5.3 scored 160, beating OpenAI’s GPT-5.4 on the Cyber ECI.

Sources

Anthropic AI expectations gap – staff predict 80% of model building by 2027

Anthropic employees median expect AI to handle 80% of building models by end-2027. Survey shows staff anticipate far higher AI productivity and automation than US adults, with 91% expecting AI to make Nobel-level discoveries by 2030 and over half expecting AI to do at least 80% of their own work by 2030.

Key points

  • Median staff expectation: AI will do 80% of building models by end of 2027.

  • 91% of Anthropic staff expect AI to make a Nobel-level discovery by 2030.

Sources

Super Intelligence Force inaugural meeting, risk report direction

Super Intelligence Force met on Oct 15 and commissioned a risk report from an advisory council chaired by David Sacks. It also created a working group on implementing White House-brokered governance commitments by leading AI developers and set tasks for senior officials.

Key points

  • Inaugural meeting held Oct 15.

  • Advisory council chaired by David Sacks tasked with risk report.

Sources

Rampart Edge release 10x smaller, more accurate

Rampart Edge is released as an on-device privacy model that is 10x smaller, more accurate, and runs on almost any device. The announcement notes it is built into America.gov and available as open source.

Key points

  • Size: 10x smaller than previous model.

  • Accuracy: more accurate than previous model.

  • Compatibility: runs on almost any device.

Sources

NOAA winter outlook predicts warmer, wetter US

NOAA winter outlook predicts warmer- and wetter-than-average conditions across large parts of the United States due to a very strong El Niño. The tweet links to a read-more article.

Key points

  • Forecast: warmer-than-average conditions in large parts of the United States

  • Forecast: wetter-than-average conditions in large parts of the United States

Sources