Models1 min read
OpenAI reports on research acceleration through coding agents
OpenAI shares early data on how coding agents are impacting research velocity, task complexity, and agent usage within the organization.
From OpenAI news
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Results for “ai research”
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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LLMs1 min read
NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science
NVIDIA announced BioNeMo NIM microservices for protein structure prediction integrated with Claude Science, enabling scalable AI-driven research workflows.
From NVIDIA technical blog
Research1 min read
Google DeepMind introduces double-blind AI evaluation method
DeepMind has piloted the first double-blind evaluation process for AI systems, aiming to improve assessment objectivity and reliability in model performance testing.
From Google DeepMind blog
Models1 min read
Study examines ChatGPT and critical thinking impact on student performance
A randomized study of over 1,000 students analyzed the effects of ChatGPT and critical-thinking training on assignment outcomes.
From OpenAI news
Models1 min read
Google AI introduces AMIE for real-time clinical video consultations
AMIE is a research medical AI system capable of real-time clinical video consultations, demonstrated in a first-of-its-kind study.
From Google AI blog
AI1 min read
Alexander Rakhlin appointed director of MIT Statistics and Data Science Center
Alexander Rakhlin, an expert in machine learning, statistics, and computation, has been named director of the MIT Statistics and Data Science Center, succeeding Professor Ankur Moitra.
From MIT News: artificial intelligence
AI1 min read
Daniela Rus awarded Bavarian High-Tech Prize for AI and robotics work
Daniela Rus, director of CSAIL and MIT professor, received the Bavarian Minister-President's High-Tech Prize for her contributions to robotics, AI, and autonomous systems.
From MIT News: artificial intelligence
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
Every post is a routed request
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.