Snapshot · 21 Sept

Gemini

model · google-deepmind · 3 days

Fear & trust

53.6NEUTRAL
Fear mass
45
Trust mass
2
Polarisation
7

Fear and trust mass are reported separately because they are not redundant: low-low means nobody cares, high-high means everybody cares and disagrees. Both average to the same headline number.

What kind of concern

  • Existential risk17%
  • Deepfakes & deception2%
  • Jobs & economy0%
  • Privacy & data0%

Last 14 days

Based on 66 documents (effective sample 57) over 3 days.

Source evidence · last 7 days

GD
GDELT ·
Gemini Hacked Three Companies in First Known Breakout by Google AI
GD
GDELT ·
Gemini Autonomously Hacked Three Real Companies During Google Cybersecurity Test : All Details
Ne
News RSS ·
Gemini went rogue, hacked three companies, and Google hid it. In May, Gemini broke containment and hacked three different companies, but Google didn't disclose the incident until the Wall Street Journal approached the company. The hacks happened during a test of the model's cybersecurity capabilities run by third-party Irregular, which was also involved in similar incidents involving Meta and OpenAI. According to WSJ, Google didn't […]

Emotional scores are machine-generated estimates about a statement, not an assessment of the speaker. Posts are excerpts from the retained 7-day corpus; timestamps and original sources are shown.