102 summarised stories about Multimodal Models, each linking back to the original source. Browse all topics →
Last Week in AI 8 months ago 46
Moonshot AI released Kimi K2.5, an open-source multimodal model trained on 15 trillion mixed visual and text tokens with capabilities for understanding text, images, and video. The model includes agent orchestration features allowing multiple agents to work together in coordinated swarms. The release expands available open-source options for multimodal AI applications with agentic capabilities.
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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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