Updated Jun 1
Aug 21, 2026
How to Benchmark LLMs: Five Mistakes That Skew Your Results
Most in‑house model comparisons are run in a way that guarantees a misleading answer. Not a wrong one exactly, and rarely a dishonest one. Just an answer that would have come out differently if the person running it had pressed enter a second time.
tech industry
Aug 19, 2026
AI Agent Development Services: How instinctools Approaches the Work
AI Agent Development Services at instinctools: How the Work Gets Done Meta description: How instinctools approaches AI agent development services — discovery, tool layer engineering, evaluation cycles, monitoring, and knowledge transfer that produces lasting capability.
tech industry
Aug 14, 2026
Infrastructure for Continuous Web Data Collection
A one‑off scrape is a weekend project. Running the same collection job every hour for three years is an infrastructure problem, and most teams underestimate how different those two things are. Continuous collection breaks in ways that batch jobs don't. Sites redesign their markup, rate limits tighten overnight, and the IP pool that worked in March gets flagged by June. The stack has to absorb all of it without a human watching the logs. Here's what the working parts look like when a pipeline actually holds up.
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Related News
Jun 12, 2026
Perplexity Moves Deep Research Into Computer, Routing Tasks Across 20+ AI Models
Perplexity has moved its Deep Research capability into Computer, its multi-model orchestration system that breaks complex questions into subtasks and routes them across 20+ frontier AI models. The upgrade produces work-ready reports, decks, and dashboards.
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Jun 12, 2026
Perplexity AI Fights Amazon in Court That Will Decide If a 1986 Law Can Stop AI Agents
The Ninth Circuit is grappling with whether a 1986 anti-hacking statute can block AI agents from accessing websites — a case that could define the legal boundaries of agentic AI for every builder deploying autonomous tools.
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Jun 10, 2026
Perplexity CEO Sets 2028 IPO Target, Betting AI Search Can Wait While Rivals Rush In
Perplexity CEO Aravind Srinivas confirmed the AI search company will go public in 2028, deliberately waiting while OpenAI, Anthropic, and SpaceX race to Wall Street this year. With $500 million in annualized revenue and 100 million monthly active users, Perplexity is betting that building the business now beats rushing the IPO window.
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