India's Copyright Office has ruled that an artificial intelligence system cannot be named as the author of an image, even when the image meets the legal threshold for originality. The decision concerned Stephen Thaler's DABUS system and a work titled A Recent Entrance to Paradise. After the Delhi High Court asked the office to resolve the application, the registrar accepted that the picture could qualify as an original work but rejected DABUS as its author under Indian law. Thaler was recognized as the person who caused the work to be created. His application failed because he declined to replace the machine's name with his own.

The ruling locates a boundary that image generators obscure. Authorship remains attached to a person who can license the work, defend it, receive payment and answer for its use. A registration form becomes part of the creative process. Its empty name field decides whether an image can enter the legal economy. For artists using generative systems, the decision gives weight to documented human choices in prompting, selection, editing and presentation. Those acts can establish the person behind the result. Studios that advertise autonomous creation face a different problem. Presenting the machine as creator may weaken the human claim needed to circulate the work as property. India's ruling leaves the global dispute open and makes institutional responsibility visible. The image may come from a system; the rights still require someone who can sign.

Princeton economist Markus Brunnermeier told central bankers at Jackson Hole that AI trading agents could understand and exploit monetary policy faster than officials can respond. His paper described a possible Federal Reserve with two press conferences, one offering an anchoring narrative to people and another supplying training data to machines. He also warned that central banks might become deliberately less predictable to stop automated traders from gaming policy signals. The argument appeared at the Kansas City Fed's annual symposium, where financial innovation was the stated subject. Brunnermeier called the imbalance “asymmetric understanding,” a condition in which markets equipped with advanced agents may read the central bank better than the bank reads them.

An interest-rate statement already moves bond and currency prices within moments of publication. An agent can parse each word, compare it with years of data and place trades while reporters are still forming questions. Transparency then reaches the public at unequal speeds. Dividing communication into a human narrative and a machine-readable feed would formalize two audiences for the same public decision. The feed would become market infrastructure, shaped for institutions able to train systems on it, while households encounter the decision later through mortgages, savings and pension values. Any such arrangement would require a public release time, an open data format, equal-access rules and a record of which automated trades were placed before the human conference ended.

Meta is testing robots that can swap network cables, power-cycle servers, reseat components and inspect equipment inside data centers in Iowa and Ohio, WIRED reported. The trials include supervised dual-armed machines and wheeled platforms at the Prometheus campus. One worker estimated that a successful cable robot could absorb up to 80 percent of some technicians' workloads. Current machines remain slower than people, need frequent charging, struggle with loose cables and sometimes require a person to open doors or move them between buildings. One inspection robot cannot distinguish red from green indicator lights. Meta declined to discuss the tests; a spokesperson said the company is investing in training and hiring because skilled workers remain scarce.

Every chatbot request depends on racks that must be connected, inspected and restarted when software cannot recover them remotely. A technician recognizes a damaged connector, incorrect cable tension and the irregularities that turn a routine reset into a longer repair. Automating those gestures may reduce heavy lifting and repetitive rounds while shrinking the entry-level work through which technicians learn the building. If Meta redesigns racks, doors and cabling around robotic access, the data center becomes legible first to its machines and afterward to the people supervising them. For now, the robot that restarts a server may still need a worker to untangle its cable, interpret the warning light and let it through the next door.