AI1 min read
AI labs need better security than just outside audits
Anthropic CEO Dario Amodei wants outside groups to audit AI safety. Experts say fixing network security basics is more effective.
From TechCrunch AI
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AI1 min read
Anthropic CEO Dario Amodei wants outside groups to audit AI safety. Experts say fixing network security basics is more effective.
From TechCrunch AI
Research1 min read
Research identifies a limitation of range-based confidence gates in continual learning for embodied agents, preventing useful updates. A new admission-audit protocol, incorporating historical-reference promotion and missed-opportunity metrics, offers a more robust approach to managing update streams.
From arXiv cs.AI
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.
Research1 min read
The Agent Incident Registry (AIR) is a new, source-linked catalog containing over 10,000 records of AI agent failures. It provides detailed information and labels for agent-related events, supporting case retrieval and evaluation-scope auditing.
From arXiv cs.AI
LLMs1 min read
Large language models exhibit a deceptive failure mode when auditing documents, producing confident fabrications in large batches. This research highlights the need for bounded batch sizes and mechanical verification for reliable document quality assessment.
From arXiv cs.CL
Research1 min read
The study audits identity handoffs in grounded language-model pipelines, highlighting how object selection impacts retrieval accuracy and downstream performance.
From arXiv cs.AI
Research1 min read
A new test-time method enhances LLM explanation faithfulness by removing uncredited concepts from input, applicable without model modifications, and tested across datasets and models.
From arXiv cs.AI
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.
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