Surveillance
3 items across 2 editions · appeared in the last 2 editions in a row. First seen Fri 11 Sep, last seen Sat 12 Sep.
- Defense News reported on 11 September at 05:38 pm that DIU's "Space Threat Intelligence Synthesis Engine" solicitation closes on 24 September, and asks for "a latency delay of no more than five seconds — and preferably no more than two seconds" between data arriving and results displaying, with throughput of "20 to 30 megabytes per minute, with bursts of up to five gigabytes".
- The software must fuse "massive streams of multi-source data, including live video, satellite imagery, radar and sensor feeds, geospatial data, and classified intelligence reports".
- DIU's stated reason is that "Existing tools struggle to distinguish closely spaced objects, track emerging threats, and keep threat models current" — an unusually plain admission of where current space-domain awareness falls short.
- This is a solicitation, not an award; no vendor has been selected and no contract value is stated.
- Published 10 September, the evaluation measures intelligence targeting and conventional weapons capability across Claude Mythos Preview, Mythos 5, Opus 5 and Sonnet 5, plus open-weights Kimi K3 and GLM 5.2. On 6,000 YFCC100M Flickr images, Mythos Preview reached a 37.0 km median error with 23.7% of images placed within 1 km, against 181 km for Opus 5, 384 km for Sonnet 5 and 385 km for Kimi K3; Anthropic compares this to 151 km for top GeoGuessr players.
- On text geolocation from anonymised GeoText tweets covering 1,697 users, median error ranged from 20.1 km (Mythos Preview) to 31.3 km (Sonnet 5), and 135 users — 8% of the corpus — were reliably placed within 1 km by at least one model. On account linkage across synthetic social media, Mythos Preview processed median 37,000-word samples in about 11 minutes, against roughly 2.5 hours for human analysts.
- On simulated drone terminal guidance against a parked high-visibility vehicle, Opus 5 struck the target on 80% of runs, Mythos Preview 70%, Mythos 5 53%, Kimi K3 15% and Sonnet 5 5%. Across all nine difficulty settings Opus 5 hit on 20% of 540 launches. Under GPS denial, only Opus 5 kept about a third of flights inside five metres.
- Anthropic frames these as capability ceilings for isolated models and notes human teams with internet access would likely do better. The drone work is in simulation, not flight, and the report does not disclose what mitigations follow. The open-weights results matter most: Kimi K3 trails the frontier but is not far behind on photo geolocation, and cannot be withdrawn.
- Announced 10 September at the International Space Summit in Paris: a $1 billion programme called Altair-Next Gen, led by UAE-based Marlan Space and Loft Orbital, to field a 50-satellite constellation running AI hardware in orbit, scaling from a ten-satellite demonstration. Ten satellites are in production in Abu Dhabi, with first launches in October 2026.
- Mistral supplies the onboard models providing reasoning and natural-language tasking, and powers services in an AI application store; BlackSky is the programme's highest-resolution optical provider. The constellation carries both radar and optical sensors for government and commercial customers.
- The claimed advantage is latency: analysing imagery on orbit and transmitting results in seconds, rather than downlinking raw imagery for ground processing hours later. Stated initial applications are maritime domain awareness, wildfire detection, disaster response, and port and critical infrastructure protection.
- No power, compute capacity or per-satellite cost figures were published, and the $1 billion is a programme value across a consortium rather than committed spend. Maritime domain awareness and infrastructure monitoring are dual-use by nature.