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?

Jun 10, 2026

Anthropic Releases Claude Fable 5, First Public Mythos-Class AI Model

Anthropic has released Claude Fable 5, the first Mythos-class AI model available to the general public. The model tops coding benchmarks with 80.3% on SWE-Bench Pro and can perform codebase-wide migrations in a single day — but comes with new safety guardrails that route sensitive queries to a weaker model.

Jun 9, 2026

Trump Signs AI Security Order Requiring 30-Day Review of Frontier Models

President Trump signed an executive order mandating a voluntary 30-day pre-release cybersecurity review for frontier AI models, a direct response to Anthropic's Mythos model. The order creates a Treasury-led clearinghouse for vulnerability scanning and marks a shift from the administration's deregulatory stance toward federal AI oversight.

May 27, 2026

Anthropic's Mythos AI Finds 10,000 High-Severity Flaws in Critical Software

Anthropic's Claude Mythos Preview has discovered more than 10,000 high- or critical-severity vulnerabilities across systemically important software in its first month — but the real bottleneck is now human capacity to triage and patch the flood of findings.