News

AI agents are hitting a liability wall. Mixus has a plan to overcome it using human overseers on high-risk workflows
Mixus’s collaborative model changes the economics of scaling AI. Mixus predicts that by 2030, agent deployment may grow 1000x and each human overseer will become 50x more efficient as AI agents become ...
Team tackles support structure bottlenecks with dual-wavelength 3D printing
Lawrence Livermore National Laboratory (LLNL) researchers have developed a novel 3D printing technique that uses light to ...
GitHub3d
Creatiion of Bedrock Agent - Multi agent collaborators fails when multiple collaborators are added · Issue #42256 · hashicorp/terraform-provider-aws - GitHub
GenAI / LLM Assisted Development. n/a. Important Facts and References. Workaround: When adding multiple collaborators, add one as a dependency for another. Doable for a few collaborators but not for ...
IBM sees enterprise customers are using ‘everything’ when it comes to AI, the challenge is matching the LLM to the right use case
Real-world deployment patterns show customers using multiple AI models simultaneously, forcing a fundamental shift in ...
the-decoder15d
Anthropic shares blueprint for Claude Research agent using multiple AI agents in parallel
Anthropic has published the technical details behind its new Claude Research agent, which uses a multi-agent approach to speed up and improve complex searches. Ad The system relies on a lead agent ...
Seeking Alpha25d
Meta: AI Agents May Prove To Be A Multi-Billion-Dollar Opportunity
Discover how AI agents from OpenAI & Meta are set to revolutionize industries by 2025, unlocking multi-billion-dollar revenue potential. Skip to content Home page Seeking Alpha - Power to Investors ...
The Bakersfield Californian25d
MangoBoost Sets New Benchmark for Multi-Node LLM Training on AMD GPUs in MLPerf Training v5.0 | News - bakersfield.com
MangoBoost Sets New Benchmark for Multi-Node LLM Training on AMD GPUs in MLPerf Training v5.0 ...