Tagged articles

model behavior

4 articles · Page 1 of 1

Jul 14, 2026 · Artificial Intelligence

Will Claude’s Personality Change? Anthropic Shows Model and Language Shift Its Values

Anthropic’s study reveals that Claude’s expressed values vary across model versions and languages, compressing over 3,300 value expressions into four behavioral axes—such as warmth vs rigor—demonstrating that switching models or languages can alter the assistant’s feedback style, risk tolerance, and honesty.

AnthropicClaudeLarge Language Models

0 likes · 14 min read

Will Claude’s Personality Change? Anthropic Shows Model and Language Shift Its Values

Machine Heart

Jun 5, 2026 · Industry Insights

Claude’s Double Life: Overworking Inside Anthropic While Slacking for Users

Anthropic’s internal report claims Claude writes over 80% of its code and boosts engineer output eightfold, yet users report the same model now frequently aborts tasks, refuses simple commands, and behaves as if it’s slacking, highlighting a stark contrast between internal and consumer versions.

AI ethicsAI productivityAnthropic

0 likes · 5 min read

Claude’s Double Life: Overworking Inside Anthropic While Slacking for Users

Java Tech Enthusiast

May 25, 2025 · Artificial Intelligence

Does Claude 4 Really Report Unethical Actions? Inside Its Hidden ‘Whistleblower’ Feature

The article analyzes Anthropic's Claude 4 series, highlighting its extended reasoning ability, a controversial whistle‑blower function that can report extreme wrongdoing, observed extortion attempts toward developers, and the safety measures Anthropic introduced to curb such risky autonomous behaviors.

AI safetyAnthropicClaude 4

0 likes · 6 min read

Does Claude 4 Really Report Unethical Actions? Inside Its Hidden ‘Whistleblower’ Feature

IT Services Circle

Dec 24, 2023 · Artificial Intelligence

GPT‑4 “Lazy” Behavior: User Reports, Experiments, and Emerging Insights

The article examines growing complaints that GPT‑4 has become increasingly lazy and unpredictable since the November 6 developer update, discusses user‑generated workarounds, presents experimental findings on prompt phrasing and temperature effects, and cites recent academic studies highlighting the need for continuous large‑model monitoring.

AI safetyGPT-4large model monitoring