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Ranked signal · finite reading
One shared ranking. Scan what changed, save what matters, and stop when the finish line appears.
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This story is wild. The short version: OpenAI were running a cybersecurity test against an unreleased model, with the model's guardrail features turned off. Rather than solve the test, the model broke its way out of O... Context & related coverage →
We revamped how we benchmark Deep Agents. Here's the eval setup we run in Harbor across coding, conversation, and retrieval, and how we use it to ship changes. Context & related coverage →
NemoClaw Deep Agents blueprint, LangSmith Sandboxes free trial, Fleet Slack integration, voice tracing, OpenWiki Brains, and RLMs in Deep Agents. See what's new at LangChain Context & related coverage →
Long-horizon tasks require sustained perception, reasoning, and exploration, and are a persistent challenge for large language model (LLM) agents. This gap is reflected in their limited performance on continual learni... Context & related coverage →
While Large Language Models (LLMs) excel at many tasks, they frequently struggle with complex reasoning that requires long-horizon planning and iterative error correction. Furthermore, standard single-stream prompting... Context & related coverage →
Are AI labs pelicanmaxxing? Excellent piece of work by Dylan Castillo, who took a deep-dive into the frequently pondered question of whether the AI labs have been deliberately training models to draw pelicans riding b... Context & related coverage →
China says AI progress driven by ‘self-reliance’ amid Moonshot AI copying Anthropic allegations Anadolu Ajansı Context & related coverage →
Expedia Group has introduced STAR, an internal AI-assisted observability platform that helps engineers investigate production incidents using service telemetry and LLMs. Built with FastAPI, Datadog, Celery, Redis, and... Context & related coverage →
Cross-Project Defect Prediction (CPDP) involves building models using data from external projects, called training projects, to predict modules from the target project. However, traditional CPDP methods suffer from th... Context & related coverage →
Release 0.146.0-alpha.5 Context & related coverage →
The bottleneck in a mature SOC is rarely analyst triage; rather, it is the detection-engineering team's ability to keep the rule base aligned with a threat landscape that evolves faster than rules can be written. Lear... Context & related coverage →
Full-parameter post-training of trillion-parameter-scale MoE models introduces substantial system-level challenges for large-scale distributed training, including severe memory pressure, non-overlapped communication o... Context & related coverage →