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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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LLMs1 min read
arXiv:2609.11128v1 Announce Type: new Abstract: In disinformation datasets, narratives are often understood as recurring interpretive patterns that group texts under narrative labels. Recent work formalized narrative mining as inductivel...
From arXiv cs.CL
Research1 min read
OpenDiscoveryTrace provides a public dataset of 558 AI scientist trajectories, capturing the reasoning process of 124 scientific tasks across drug discovery and other domains. Analysis reveals significant behavioral differences between models, particularly highlighting error profiles and confidence levels, enabling more robust evaluation.
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.
From arXiv cs.AI
Research1 min read
A new framework automates the discovery of vulnerabilities in agentic AI systems through a seven-domain taxonomy and automated red teaming. Empirical validation across CrewAI and AutoGen reveals significant governance and privacy risks, highlighting the need for proactive safety measures.
From arXiv cs.AI
Research1 min read
AutoFyn is a new agent harness utilizing Expert Iteration, updating a frozen model through persistent state changes based on verified reward signals. Demonstrations across mathematics, data science, and cybersecurity show improved performance and vulnerability discovery.
From arXiv cs.AI
Research1 min read
A new commentary details the convergence of AI, autonomous agents, and quantum computing to accelerate materials science discovery. Researchers believe this represents a tipping point for transformative advances and productive disruption in the chemical sciences.
From arXiv cs.AI
Research1 min read
The paper models indirect prompt injection as a test-time search over an attack surface, emphasizing the role of attacker compute and strategy management in vulnerability discovery.
From arXiv cs.AI
Research1 min read
Microsoft Research introduced GigaPath-Flash and GigaTIME-Flash, which lower computational requirements while maintaining performance, enabling larger-scale pathology studies.
From Microsoft Research
Research1 min read
Google commits $40M in AI tokens and credits for the Genesis Mission
From Google DeepMind 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.
