33 related articles

After Perplexity's Windows desktop app migrated from standalone to MS Store version, the right-click spell correction menu disappeared. This article analyzes the root causes involving MSIX sandbox mechanisms and offers practical solutions.

Two papers flagged for fake authors still received oral presentation slots at top conferences, exposing systemic peer review failures in the AI era.

Firecrawl releases new /search API using a dedicated model to extract precise excerpts, achieving 10x token efficiency and 94.7% SimpleQA accuracy for AI agents.

Perplexity stuck in Computer Mode and can't switch back to normal search? This article analyzes the technical causes including server-side preference stickiness and platform differences, with practical solutions.

Veteran AI practitioner Remy breaks down the leap from chat models to AI agents: how agents work, the three pillars of context, tools, and skills, MCP connections, and hands-on architecture to make you a 100x employee.

T-Head open-sources AI software stack T-Head SAIL at WAIC to lower the barrier for domestic chip development; Kimi K3 tops the WebDev leaderboard; Qwen 3.8 Max Preview cuts prices aggressively; Moonshot prepares a Hong Kong IPO; and Oracle switches its data center to a fuel cell microgrid.

Upgraded Cursor and can't find the classic file tree? Learn two quick methods to switch back from Agent mode using the Open Edit Window button or File menu.

Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.

Model performance gaps are closing. Real competitive advantage lies in portable AI agent architecture. Learn how to build a workspace that works across Claude Code, Codex, and beyond — no vendor lock-in.

Perplexity Pro users report that custom MCP connectors silently switch models to Claude Sonnet, ignoring frontend selections like Grok or GPT. Support denies it.

Microsoft Build deep dive: how to deploy AI agents in Teams multi-user collaboration. A three-pillar framework—Manners, Privacy, Polish—covering emoji reactions, targeted messages, Adaptive Cards, and more for enterprise agent developers.

A complete guide to deploying LLMs locally on RobotCore Mini using Ollama — covering model pulling, CLI verification, Web backend setup, and LAN access.
Deep Dive into AI Agent Skill Design: …
A deep dive into Skill design philosophy from Anthropic's Claude Code team and Perplexity's Agent team, covering the Tax Test, Gotchas Flywheel, progressive disclosure, and Eval-First practices for building high-quality AI Agent skill systems.

A comprehensive guide to preparing for the National Mathematical Modeling Contest: covering the essence of modeling, judging rules, topic selection, AI usage guidelines, and a four-day schedule to boost your chances of winning.

A user who got Perplexity Pro via Revolut Metal found their premium quota slashed from the promised hundreds a day to just 10, with support silent after a 48-hour promise. A deep dive into AI subscription opacity and third-party channel disputes.

Airtel partnered with Perplexity to offer users a free one-year Pro subscription, but the renewal charging mechanism worries many. This article breaks down the billing logic of operator-bundled subscriptions and offers practical self-protection tips.

Is Perplexity Pro worth paying for? This guide compares ChatGPT Plus, Claude Pro, and Google Gemini across research, writing, and coding to help you choose the right AI subscription.

How did Ollama grow from a niche open-source project into developers' default choice for running local LLMs? This article breaks down its rise across product design, technical strategy, and ecosystem building.

Players widely distrust Steam's AI disclosure labels, suspecting developers hide AI usage. We examine the three root causes and how the games industry can rebuild trust.

Tencent Hunyuan and Tsinghua jointly release DiscoBench, the first benchmark evaluating search agents' dynamic ambiguity clarification. Covering 463 ambiguity instances across 11 domains, it reveals real weaknesses of mainstream LLMs.