Snapshot · 21 Sept

OpenAI

company · 24h

Fear & trust

52.2NEUTRAL
Fear mass
23
Trust mass
1
Polarisation
11

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

  • Deepfakes & deception9%
  • Jobs & economy4%
  • Existential risk0%
  • Privacy & data0%

Last 14 days

Based on 88 documents (effective sample 75) over 24h.

Source evidence · last 7 days

Ne
News RSS ·
OpenAI and Microsoft knew they were starting a ‘doom loop’ for the web. Recently unsealed court documents in the New York Times' case against OpenAI and Microsoft are pretty damning. The companies' own documentation warned that it was starting a "doom loop" that would damage the web, characterized its scraping of data to train its models as the "largest theft of labor in human history," and that it […]
GD
GDELT ·
Security researchers used Anthropic Claude to breach OpenAI internal systems · Digg
Ne
News RSS ·
UN says AI safeguards can’t wait for certainty. Governments need to rein in increasingly capable AI agents before their risks are fully understood, a United Nations scientific panel warned in the global organization's first major assessment of OpenAI's hack of Hugging Face earlier this year. The report cements AI's place on the global diplomatic agenda this week as leaders gather in New York […]

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.