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23 articles
A Stanford study reveals that multi-agent AI systems' advantages often stem from increased compute rather than inherent collaboration, with notable exceptions where specialized agents deliver superior results.
Peter Bailis, former CTO of Workday, has left his executive role to join Anthropic as a technical staff member, focusing on reinforcement learning engineering.
Demis Hassabis says Google DeepMind had to return to its startup roots after merging with Google Brain to maintain innovation pace.
Learn how Google AI's PaperOrchestra uses multiple AI agents to automate research paper writing, saving researchers time and effort.
This explainer explores the OpenAI Safety Fellowship, a new initiative to fund external researchers working on AI safety and alignment. Learn why AI safety is crucial as systems become more powerful, and how this program supports responsible AI development.
Learn how Sakana AI's new tool, Sakana Marlin, uses artificial intelligence to automate weeks of business research in just hours. This explainer breaks down how AI research assistants work and why they matter for decision-making.
Salesforce AI Research introduces VoiceAgentRAG, a dual-agent memory router that cuts voice RAG retrieval latency by 316 times, enhancing conversational AI responsiveness.
Researchers from Meta, Cornell, and CMU introduce TinyLoRA, a 13-parameter fine-tuning method that achieves 91.8% accuracy on GSM8K using Qwen2.5-7B.
Microsoft is hiring leading AI researchers from the Allen Institute for AI and the University of Washington to strengthen its Superintelligence team led by Mustafa Suleyman.
Yann LeCun introduces LeWorldModel (LeWM), a new framework targeting JEPA collapse in pixel-based predictive world modeling. This advancement could significantly improve how AI systems learn meaningful representations from raw visual data.
Learn to build a basic AI research agent that generates, verifies, and revises mathematical proofs using natural language processing techniques.
Thinking Machines Lab has secured a multi-year deal with Nvidia worth at least one gigawatt of compute power, along with a strategic investment that positions the company at the forefront of AI research.