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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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Research1 min read
arXiv:2609.13466v1 Announce Type: new Abstract: Enterprise AI adoption has reached 78% of organizations globally, yet the infrastructure to govern that adoption has not kept pace. This paper identifies and characterizes the attestation d...
From arXiv cs.AI
Agents1 min read
This post details four patterns for automating user-level custom permissions in Amazon Quick, enabling least-privilege access enforcement. These patterns cover user registration, account defaults, event-driven automation, and retroactive updates.
From AWS machine learning blog
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
Agents1 min read
Jamf implemented real-time, per-user cost enforcement for Amazon Bedrock using IAM policies, Athena, and Lambda, enabling tiered model limits without disrupting sessions.
From AWS machine learning blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
