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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
La Agente 'Optima' is an agentic framework that manages Bayesian optimization campaigns across systems, maintaining a persistent state and separating reasoning from execution, improving automation and auditability.
From arXiv cs.AI
Research1 min read
PerfReasoning assesses LLMs as performance reasoners and code generators, with models achieving up to 90% accuracy on reasoning tasks. Construction of models remains challenging, especially for smaller configurations.
From arXiv cs.AI
LLMs1 min read
The study examines how structural priming influences language model sentence completions, highlighting effects across syntactic, lexical, and semantic levels.
From arXiv cs.CL
LLMs1 min read
A framework for training language models to refuse harmful or targeted queries, improving safety boundaries while maintaining factual answering capabilities.
From arXiv cs.CL
LLMs1 min read
A new evaluation scheme based on the Hüllermeier-Rifqi Index assesses phonetic encoding algorithms' conformity to word-based transcriptions in IPA, using normalized edit distance and a random string adjustment.
From arXiv cs.CL
LLMs1 min read
LETHE is a self-referential system implemented in SuperCollider that evolves audio parameters through a GAN-like process without external datasets or supervision.
From arXiv cs.CL
LLMs1 min read
A multi-resolution framework is proposed for interpreting human activity traces in workplace agents, capturing different temporal scales for better understanding and prediction.
From arXiv cs.CL
Research1 min read
Research shows that as few as one or two tokens per reasoning trajectory can incentivize reasoning ability, matching or surpassing full-token training across various models and tasks.
From arXiv cs.AI
Research1 min read
Introduces Harbor Adapters for evaluating agents across over 80 benchmarks and presents Harbor-Index, a curated set of challenging tasks for comprehensive assessment.
From arXiv cs.AI
LLMs1 min read
TRILOGUE is a large-scale trilingual benchmark for spoken dialogue fact-checking, including audio, transcripts, and turn-level labels across English, Russian, and Kazakh.
From arXiv cs.CL
Research1 min read
The Corporate Language Model (CLM) transforms enterprise knowledge into an ontologically grounded foundation, enabling reasoning and executable actions within organizational contexts.
From arXiv cs.AI
LLMs1 min read
arXiv:2609.04404v1 Announce Type: new Abstract: ASR systems sometimes produce fluent text that is unrelated to the speech they receive. We view these hallucinations as one possible consequence of a broader grounding failure, in which the...
From arXiv cs.CL
Research1 min read
Iris-mini and Iris-pro are search agents trained at 35B and 397B parameters, respectively, using a data pipeline and training recipe involving RL and supervised fine-tuning. Results are evaluated with and without inference-time context management.
From arXiv cs.AI
Research1 min read
A training-free method using low-rank projection of decoder activations significantly lowers hallucination rates in Whisper during inference, with minimal impact on speech recognition accuracy.
From arXiv cs.AI
Research1 min read
EXAONE Finance introduces an attention-free architecture for financial forecasting, replacing self-attention with linear-time operators and improving robustness to missing data across diverse asset classes.
From arXiv cs.AI
Research1 min read
ResLearn-XR introduces a residual learning approach with a two-stage structure for modeling XR network traffic and estimating QoE risk, improving accuracy over single-stage methods.
From arXiv cs.AI
LLMs1 min read
A unified assessment shows post-training methods generally improve cross-lingual consistency across models and benchmarks, with some sensitivity to answer format and language coverage.
From arXiv cs.CL
Models1 min read
An AI initiative was launched to help Ukrainian news organizations enhance innovation, resilience, and independent journalism efforts.
From OpenAI news
LLMs1 min read
OpenAI's research efforts have accelerated significantly in 2026, with increased use of coding agents and internal model access, notably after late July when GPT-6 Astra was released to employees.
From Simon Willison
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.
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.
