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.

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.

Aug 10, 2026

Can You Become Emotionally Dependent on an AI Therapist?

Apr 27, 2026

OpenAI's Five Principles for AI Development Prioritize Ethical Innovation

OpenAI has laid out its five-principle framework for developing AI responsibly. This includes democratizing AI access, empowering users, fostering universal prosperity, ensuring resilience, and maintaining adaptability. Builders should take note, as these principles could influence AI's role in shaping future tech and policy landscapes.

Apr 24, 2026

Why AI Won't Rattle Apple's iPhone Ecosystem: Perplexity CEO Weighs In

Perplexity CEO Aravind Srinivas dismisses AI's potential to disrupt Apple's iPhone, citing three core advantages: digital passport, Apple Silicon, and brand trust.

Apr 24, 2026

AI Missteps in Healthcare: Lessons From Benjamin Riley's Story

Benjamin Riley's recount of his father's reliance on a flawed AI-generated medical report highlights the dangers of AI in healthcare. Dr. Adam Kittai and Dr. David Bond reveal the report was "nonsense," posing fatal risks. AI's misguided advice emphasizes the need for cautious AI applications, especially in medical circumstances.