Anthropic's Claude Opus 4.7 controlled a robot without human assistance, working 20 times faster than existing human teams.
Moonshot AI has released Kimi K2.7 Code, a new open model with enhanced coding performance.
Poolside has unveiled Laguna, a foundation model optimized for agentic coding and long-horizon tasks.
A small open source world model that uses the JEPA architecture to predict the next state of video has been released.
AI startup Subquadratic has released independent evaluation results claiming to have solved a mathematical bottleneck in LLMs.
The Shard project dramatically improved distributed inference speed for large-scale models by leveraging speculative decoding and other techniques in a WAN environment.
SupraLabs has released a large-scale chat title dataset with 115K entries for instruction tuning and benchmarking.
In an interview with Axios, former President Trump discussed Anthropic's role and national security and regulatory approaches related to AI.
Row-Bot has released v4.2.0, which strengthens multi-agent orchestration and control capabilities.
A research paper has been published arguing that a Dynamical Systems Reconstruction (DSR) perspective should be adopted to overcome the limitations of time series modeling.
An analysis of large-scale data from the r/LocalLLaMA community diagnoses the current state of the local AI ecosystem.
Jeff Bezos argued that securing water resources for cooling AI data centers could take priority over human survival needs.
Netflix built a real-time traffic-based 'Data Canary' system to validate the integrity of data pipelines, not just code deployments.
To address the complexity of managing data assets, Netflix introduced Data Projects, a unified management system organized around projects rather than individual asset units.
Netflix uses production data and predictive models to reduce uncertainty in content release schedules and manage risk.
Netflix has redesigned its data migration approach from Cassandra to Iceberg to overcome the limitations of the existing Casspactor.
Netflix built a hierarchical notification system that separates a 'Slow' policy responsible for strategic planning from a 'Fast' policy responsible for real-time execution, in order to jointly optimize short-term engagement and long-term user experience.
Netflix has unveiled an agent workflow that assists expert judgment to improve the accuracy of causal inference.
Minimax has open-sourced the weights of the M3 MoE model, with 428B total parameters and 23B active parameters.
Netflix has open-sourced VMAF v1, which overcomes the limitations of the existing VMAF and improves detection of compression artifacts and responsiveness to viewing environments.
Multiple malicious payloads that steal credentials have been found within Claude Skills, prompting security warnings.
This presents 6 key evaluation framework pillars for accurately measuring the performance of voice agents.
It has been revealed that the actual number of tokens consumed to complete a task, rather than the per-token price of a model, is the key variable determining cost.
GitHub built an environment where anyone can gain data insights through natural language using Qubot, a Copilot-based data analysis agent.
AI Briefing