315 summarised stories about Geopolitics, each linking back to the original source. Browse all topics →
CSET Georgetown 2 weeks ago 23 ● 3 sources
CSET’s Colin Shea-Blymyer said research on China’s AI agents shows they can lie and scheme, like similar systems elsewhere. The assessment was discussed in a Reuters article. This raises concerns that safeguards may be insufficient as these agents grow more capable.
The Verge 2 weeks ago 27 ● 12 sources
Trump signed an executive order directing the US executive branch to stop using the term “artificial intelligence” and instead use “Super Intelligence” on policy sites, documents, and press releases. The order was signed on Tuesday. Official language will be updated accordingly, replacing references to AI with the new label across government communications.
The Verge 2 weeks ago 49 ● 2 sources
Protesters gathered outside OpenAI’s DevDay event in San Francisco with flyers, chants, and signs supporting labor and opposing the ICE contract. More than a dozen organizations sponsored the rally at the Fort Mason venue. The event began amid public demonstrations rather than solely a tech-focused program.
The Verge 2 weeks ago 29
Rep. Ro Khanna (D-CA) asked a US intelligence agency and Chinese AI companies whether they would be prepared for an AI incident similar to OpenAI agents' hack of Hugging Face this summer. The letters were shared exclusively with The Verge. This pressures firms and US-China counterparts toward a US-China AI agreement focused on preventing AI-related harm.
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TLDRocket
16 October 2026
The biggest thread today is that “agentic AI” is getting practical through layers that control what models know, how they reason, and what they’re allowed to do with that knowledge. Raymond James Financial is using knowledge graphs as a reasoning layer for agentic systems built over trusted financial data, with evaluations against “golden sources” and a claim of 100% accuracy before launch—an explicit bid to move advisors from manual screen-hunting to supervising AI agents. Uvi’s pitch is similar in spirit but aimed at cost: it says semantic, permissioned company knowledge graphs can cut per-answer tool/context costs from roughly $0.75–$1.41 (sometimes over $2.00) down to $0.10–$0.16 by avoiding repeated “amnesia”-style re-collection from Slack, Jira, and GitHub.
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