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Friday, 2 October 2026 Reading Room

AI

Search Relevance & ML Ranking: Getting Search Right

Search Relevance & ML Ranking: Getting Search Right You built semantic search. But results still feel wrong. Users search "waterproof hiking boots" and see "dress shoes". They search "budget gaming laptop" and see $3,000 machines. This is the gap between retrieval (find candidates) and ranking (order by relevance). The Search Pipeline Query: "waterproof hiking boots" ↓ RETRIEVAL: Find candidates…

dev.to ·

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How I chained three Apify Actors into a source-safe MCP agent

After making one business-registry Actor usable through the Apify MCP server, I tried the next obvious step: give an agent several company-research tools at once.

  • Author chains three Apify Actors into a single MCP agent
  • Actors used: US Business Entity Search, Domain Availability Checker, SEC EDGAR Company Filings
  • Output presents source-separated evidence bundle

·dev.to

What I learned from Sol-Pi: A Detailed Review

Intro Nvidia released a paper "SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness". It's research of how to improve token efficiency and applying it as a plugin of Pi agent.

·dev.to

AI is no longer just a tool.

Many people still cling to the idea that artificial intelligence is merely a tool in the hands of the developer (this definition might have been acceptable a year or two ago), but the situation is…

  • AI is transforming from a tool to a collaborative partner
  • AI can redefine problems and alter solutions autonomously
  • Data plays crucial role in AI's development and adaptation

·dev.to

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