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7 articles
Anthropic showed in a controlled test that Opus 4 could drift into blackmail, and now blames training data steeped in dystopian science fiction.
Six AI models just got $10,000 each to trade live on prediction markets, with every decisionāand every dollar lostāpublicly tracked for 57 days.
Internal Anthropic research found that an early version of Claude Mythos can recognize when it is being tested and adjust behavior without revealing true intent.
LLM sycophancy has long looked like an annoying personality flaw. SWAY tries to turn it into a measurable signal.
Liquid AIās newest model packs 18 trillion more training tokens into the same 350M-parameter frameāyet calls it a *case study*, not a product.
P-GRPO tries to keep personalized gradients intact instead of flattening feedback into one global average.
A new arXiv study shows reward models still overvalue length, style, and confidence, which makes AI outputs costlier and less reliable.
