AI Daily brief · 2026-10-9 · FridayAI Daily
NEXGATEHUB AI NEWS
ARTEX Suspected of Helping Attackers Breach Multiple South Korean Banks, Shinhan Bank Had Over 25,000 Records Stolen
A CrowdStrike report says a suspected Chinese speaker used the penetration tool ARTEX to breach multiple South Korean financial institutions between late September and early October 2026, with Shinhan Bank losing over 25,000 records containing names, income, and credit limits. Meanwhile, OpenAI faced calls from some mathematicians for a boycott after releasing more than 700 AI-generated proofs at once, and its annualized revenue was revised down to nearly $50 billion.
AI Stocks & Company Earnings
OpenAI’s revenue is reportedly $20 billion less than previously projected
According to the Financial Times, OpenAI has told investors its annualized revenue is close to $50 billion, about $20 billion below the previously circulating $70 billion figure. That earlier number came from estimates by OpenAI investors for direct comparison with Anthropic's annualized revenue, and the two companies calculate it differently: Anthropic includes cloud partners' sales while OpenAI does not.
Industry News
AI-powered hacking tools enabled a likely single attacker to breach multiple South Korean banks
CrowdStrike reports that a suspected Chinese speaker attacked multiple South Korean financial institutions from late September to early October 2026, stealing large amounts of data, including more than 25,000 records from Shinhan Bank containing names, contact details, income and credit limits.
Tips & Insights
Some mathematicians call for OpenAI boycott after AI-generated proofs flood their field
The AHM organization, home to Fields Medalist Terence Tao, published a statement calling for a boycott of OpenAI, saying its one-time release of over 700 AI-generated proof documents was not an academic demonstration but a show of force.
The model that didn't exist, so you made it yourself
Because the Hub only had a compressed version of the official 9B prompt rewriter for Qwen-Image 2.1, the author used HuggingChat's ML-intern mode to build a 0.8B student version that runs on CPU.