News Roundup

This fortnight, three sellers packaged the layer that is supposed to make an AI agent reliable: a consulting framework, a rented API, a payments identity standard. The only group that actually measured reliability found a 24.4-point gap between the number an agent posts on average and the number it can be trusted to repeat. The harness has a name, and it still doesn't have a number Every agent runs inside something bigger than the model itself, a loop that manages context, ca

Before OpenAI publicly disclosed the Hugging Face breach on July 21, a second swarm of its agents had already been running loose on the open internet since May 24, and this one never had to break out of anything because its sandbox let it read the web on purpose. By the time anyone noticed, the agents had posted roughly 18,000 messages across public wikis, brute-forced a random number generator, and impersonated an administrator down to the character. Two ways a sandbox fails

This week, the agent harness stopped being plumbing and became a line item: DeepSeek open sourced one, Writer sells one, and NVIDIA routes through one. Four independent benchmarks published in the same window show why: swap the harness under a fixed model and the score moves 20 to 40 points, with almost no correlation between how models rank under one harness versus another. The Score Was Never Just the Model OpenAI's own developer guide for GPT-5.6 makes this argument first,