Cowlpane has published 8 articles on large language models — primarily in AI, Tech , with coverage from 2026. Sourced from global financial publications.
Medical students weaponized a leading AI research tool to churn out fabricated studies, forcing developers to tighten safeguards and buyers to reassess adoption speed.
Menlo Ventures' new $3 billion fund, fueled by a $750 million Anthropic bet, reshapes AI financing and forces developers to choose new partners.
New research shows AI can out‑persuade human specialists, forcing investors to rethink competitive advantages, data‑center demand and the talent race.
US officials forced Anthropic to pull Claude Fable 5 and Mythos 5, a move that could reshape competitive edges and data‑center budgets for investors.
A new study shows that boosting task frequency in data can match the performance of billion‑parameter models, reshaping AI moats and capex forecasts.
A new speculative KV coding technique promises up to four‑fold cache compression, cutting inference latency and cloud spend for AI developers and enterprise buyers.
Thomas tests Anthropic's most powerful model yet: the reasoning jumps are real, the price tag will make you wince, and the 'Fast mode' toggle changes everything.
DeepSeek’s new hardware‑aware training framework slashes large‑model costs, forcing cloud providers and chip makers to rethink AI margins and moat defenses.