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 ...
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 ...

Your Chrome searches could soon bypass Google Search entirely

For years now, Google Chrome has shaped our Google Search muscle memory. Whenever you're scrambling to Google Search ...

Jeff Bezos Is Funding a Wild Hunt for the Brain’s ‘Core Algorithm’

With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons ...

I cofounded an app that made over $1 million in the last year. We pivoted 5 times and made one big mistake before finding success.

A startup cofounder explains the mistake that delayed his search for a successful app idea.
InfoQ

Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG

In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an ...
DecryptOpinion

DuckDuckGo Launched Duck AI. Now Their Hit Product is 'No AI'

As Google buries its search results under AI-generated answers, DuckDuckGo believes a growing number of users just want the ...