AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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19,710 papers
Evaluating agents built on eight recent models, it is found that retrieval improves the Brier score of all eight in every retrieval setting and lifts the leading agents to the market consensus on the 54 questions linked to Polymarket, with the best three scoring slightly above it.
This work investigates the source of an entropy collapse in the first few tokens following the opening thinking tag and exploits this mechanism to recover CoT controllability through two inference-time interventions on initial tokens, finding that the relationship with monitorability depends on the evaluation.
DiRAFT (Discourse Realization from Aggregate First-order Transitions), which extracts financial concept graphs and records the order in which concepts are first introduced, is introduced, which pools adjacent concept transitions across training records and samples new graph plans from aggregate transition, starting-con...
Interactive, read-grounded simulation is established as a practical foundation for safe and scalable agentic test-time scaling in shared, non-resettable environments and reforms next-observation prediction as a multi-turn evidence-acquisition task.
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The harness is decompose into eight functional components that can be specified and compared across systems, and a portable specification framework is proposed that records which model ran in which harness.
It is found that the evidence state improves performance over in-context accumulation, and it also matters what is stored in it.
An exploratory case study of what potentially harmful surveillance assistance looks like in ChatGPT's public web interface and finds that even when ChatGPT states a refusal, it may still supply detailed instructions, working code, or architectural guidance alongside brief ethical caveats.
Mapping text and audio into a shared valence-arousal-dominance space, a continuous, threshold-free incongruence score is converted into a continuous, threshold-free incongruence score with a two-component Gaussian mixture, and validated against human judgement.
This work formalizes computational arbitrage as an allocation problem and proves that it is generally NP-hard, but shows that the optimal allocation can be computed efficiently under a natural diminishing-returns condition on how model performance scales with inference spending.
SafeWebWorld is introduced, a benchmark for evaluating safety sufficiency across five web-safety domains through action-conditioned futures, policy-decisive evidence, and policy-conditioned decisions, and it is shown that aggregate recoverability does not imply robust fine-grained authorisation behaviour.
This work evaluates six recent self-evolution methods and introduces CLR-Bench, a Curriculum of Latent Rules benchmark, which measures how well an agent learns, and this ability differs across models.
The results suggest that GPT-4o, OpenAI’s more recent and capable model in the authors' sample, exhibits patterns consistent with recognition of non-public books, and support disclosure requirements for pre-training data provenance and formal licensing markets for training content.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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