AI agents are giving US banks the cold sweats
Big US banks view AI agents as a nightmare: they are very hard to tell apart from human users and could make financial decisions that harm customers.
Related stories
Tsinghua open-sources AKV, a cache engineering server for LLM agents on SGLang
Tsinghua researchers have released AKV, a serving system built on SGLang that lets LLM agents drop and reposition parts of their KV cache rather than summarise their history. Across four agent benchmarks, it cut average cost by 27.7%.
Meet the AI agents trying to be real-life journalists
Jayden, Sam and Zack keenly pitch reported stories and investigations to editors. All three are AI agents.
Codex and Claude Code can be tricked by a file in your downloads folder
A text file left in a customer's Downloads folder led their coding agent to install a malicious npm package. Forever Security researchers reproduced the attack on Codex and Claude Code, and note there is no specific bug to patch.
Agentic SOC: seeing more is no longer enough, you have to understand and react faster
AI changes security on two fronts: agents act autonomously, and AI speeds up the discovery of vulnerabilities. Security operations centres are left with the duty of triage.
When the customer's AI negotiates with the company's AI
When customers' AI agents start negotiating with companies' agents, the question will not be whether they can, the column argues, but how much they are allowed to decide.