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The biggest local LLM on your machine is useless if it can't call a single tool, no matter how many parameters it has

More parameters doesn't always mean more capabilities.

Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information

Harness-1 suggests that the future of agentic AI lies in building better environments for models to work within, rather than ...
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Customers can now design merch with Alexa for Shopping on Amazon

From personalized pet portraits on tumblers to matching group shirts, the new feature uses AI to turn ideas into designs ...
winbuzzer.com

Perplexity Lets AI Agents Write Their Own Search Code

Perplexity introduced Search as Code as a reference architecture for AI-written Python search workflows, following its 2025 real-time Search API. The new approach shifts the pitch from repeatedly ...
IEEE

Semantic-Aware Informative Path Planning for Efficient Object Search Using Mobile Robot

Abstract: In this article, a novel informative path planning (IPP) framework is proposed for efficient robotic object search. We innovatively reformulate the object search into an IPP problem, which ...