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?
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Apr 30, 2026
Anthropic Nears $900B Valuation with Upcoming Funding Round
Anthropic is eyeing a $900 billion valuation with its latest funding round expected to close within two weeks. The AI company is raising $50 billion to support massive computing needs before an anticipated IPO later this year. Existing investors since 2024 may skip this round, holding out for IPO gains.
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.
Apr 24, 2026
OpenAI Shifts Focus Amid Fierce Competition: Inside Sam Altman's Strategic Pivot
OpenAI, pressured by rivals like Anthropic and Google, trims non-core projects to boost financial discipline. Under Sam Altman's leadership, the company concentrates on monetizable AI tools amid IPO plans. The challenge: balancing innovation with revenue demands.