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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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Models1 min read
OpenAI has evolved Habitat into a globally distributed storage platform handling 1 billion ChatGPT users and 22 million requests per second. This scaling represents a significant advancement in supporting the operational demands of large language model deployments.
From OpenAI news
LLMs1 min read
arXiv:2609.10993v1 Announce Type: new Abstract: Multilingual large language models (mLLMs) contain a small fraction of feed-forward neurons that are sensitive to particular languages, commonly termed language-specific neurons. Existing w...
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.CL
LLMs2 min read
arXiv:2609.10830v1 Announce Type: new Abstract: When a language model finds a sentence unusually cheap to predict, it is tempting to conclude that the sentence was in its training data. Almost every published test of that inference has h...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.11020v1 Announce Type: new Abstract: We study K/V-cache interventions -- transplanting a target-conditioned K/V trajectory into a source-persona generation -- as a structured surface for persona control in decoder-only languag...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.11067v1 Announce Type: new Abstract: Large language models are increasingly used as judges to measure social bias in text, yet the passages they judge are often noisy, containing typos, informal spelling, and broken punctuatio...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.10810v1 Announce Type: new Abstract: Minimal-edit Grammatical Error Correction (GEC) is a challenging task for zero- and few-shot prompted Large Language Models (LLMs), which systematically overcorrect and degrade $F_{0.5}$ by...
From arXiv cs.CL
LLMs1 min read
NCP-ArchPreview, a 8.9B parameter model, achieves competitive performance through a combined approach of next-token prediction and next-concept prediction. This architecture demonstrates significant efficiency gains and offers adaptable latent space capabilities for downstream tasks.
From arXiv cs.CL
LLMs1 min read
arXiv:2609.10893v1 Announce Type: new Abstract: Recent advances in large language models have transformed human-computer interaction. Despite their fluency, these models often produce texts that are grammatically correct but semantically...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.10758v1 Announce Type: new Abstract: Multilingual large language models (LLMs) are increasingly used for open-ended text generation, yet their behaviour in low-resource languages remains poorly understood. In this work, we que...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.11029v1 Announce Type: new Abstract: Large language models are typically trained under uniform token weighting, which allows frequent and low-information tokens to dominate learning and can increase the tendency to memorize su...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.10792v1 Announce Type: new Abstract: Transformer-based models excel at Automatic Readability Assessment (ARA), yet feature-based models remain in active use because their predictions tie back to linguistic properties. This mat...
From arXiv cs.CL
LLMs1 min read
The Qiushi Engine team conducted a research program using BabyLM 2026 Strict-Small, achieving an Overall score of 42.25 across two generations. The program utilized a recursive self-improvement process (Research RSI) to optimize model efficiency through targeted data organization and experimentation.
From arXiv cs.CL
Agents1 min read
TwelveLabs Marengo Embed 3.0 is available in Amazon Bedrock Knowledge Bases, allowing fully managed natural language search for video, image, and audio content. This walkthrough demonstrates building a knowledge base and running semantic queries against media assets.
From AWS machine learning blog
LLMs1 min read
Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as...
From NVIDIA technical blog
Agents1 min read
This blog post details a workflow for automating the process of extracting data from an RFI workbook using Amazon Quick Automate. The process involves reading from S3, using natural language prompts, refining the workflow through conversation, and generating CSV output back to S3, reducing development time from days to hours.
From AWS machine learning blog
Agents1 min read
A new detector on Amazon Bedrock allows any large language model to identify Personally Identifiable Information (PII). This configurable detector adapts to new entity types without retraining and surpasses existing tools in performance.
From AWS machine learning blog
Models1 min read
A researcher’s lab employs Codex and ChatGPT to analyze genomes, both living and extinct, in the search for new antimicrobial compounds. This approach leverages large language models for rapid candidate identification, addressing the challenge of drug-resistant infections.
From OpenAI news
Models1 min read
The Data agent is available within ChatGPT Work. It allows users to connect company data and build interactive dashboards using natural language, uncovering insights with AI.
From OpenAI news
LLMs1 min read
SocialRL improves language model social intelligence through multi-turn reinforcement learning and a nuanced reward design. The framework achieves a 9.2% average improvement in goal achievement across benchmarks, demonstrating effective long-horizon planning and relationship management.
From arXiv cs.CL
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.
