Georgia
Rally attendee steals the show by mimicking Trump's gestures
Trump's 50 percent Canada tariffs: What to know Rally attendee steals the show by mimicking Trump's gestures NewsFeed Rally attendee steals the show by mimicking Trump's gestures A rally attendee seated directly behind US President Donald Trump drew attention by appearing to mimic the president's signature hand gestures and facial expressions throughout a campaign speech in Marietta, Georgia. Is this Italy's'George Floyd moment'?
Ballots Have Been Seized Across the US. No One Knows What Will Happen Next
Ballots Have Been Seized Across the US. So far this year, authorities have seized or demanded ballots from elections in four states. Experts fear the trend could throw the midterms into chaos unless courts draw a line. As US voters look to the November midterms, the Trump administration is obsessed with looking back to past elections, seizing ballots cast years ago in several states in search, it claims, of fraud or other malfeasance. But experts believe the goal may be more varied. The seizures began in January when FBI agents armed with a warrant raided an election facility in Fulton County, Georgia, and grabbed 600 boxes of ballots from 2020.
NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning
Lu, Haoran, Fang, Luyang, Zhong, Wenxuan, Ma, Ping
Multi-agent language systems are often built as hand-designed workflows, where agents are assigned semantic roles and communication protocols are specified in advance. We propose NeuroMAS, a method that first treats a multi-agent language system as a trainable and scalable neural-network-like architecture with LLM agents as nodes and intermediate textual signals as edges. In NeuroMAS, agent nodes are role-free but structure-aware: the topology only determines how information can flow in general, while reinforcement learning training determines how nodes communicate, specialize, and coordinate. This formulation shifts multi-agent design from workflow engineering toward architecture design, where depth, width, connectivity, and growth protocol become scalable sources of capability. Further, we provide a theoretical perspective showing why such modular textual computation is more parameter-efficient when tasks admit hierarchical decompositions. Experiments show that NeuroMAS improves significantly over both inference-time and trained multi-agent baselines. We further find that organizational scaling is path-dependent: larger systems can be challenging to train from scratch, but become feasible when grown progressively from smaller trained systems. These results suggest that learned neural multi-agent systems are a promising scaling axis for LLMs.
A Conspiracy Theory About QR Codes Has Led to Chaos Ahead of Georgia's Midterms
A Conspiracy Theory About QR Codes Has Led to Chaos Ahead of Georgia's Midterms The state of Georgia banned the use of QR codes for elections, based in part on the assertions of a man who's boosted false claims about Israel and 9/11. Now no one knows how ballots will be counted. QR codes are at the center of the latest conspiracy theory in Georgia's elections. And it's largely thanks to Garland Favorito, a man who has spent decades trying to get people to listen to his conspiracy theories about insecure voting machines being used to rig elections in Georgia. When Georgia became the epicenter of election denial conspiracy theories in 2020, Favorito became an overnight superstar in the election denial community, and an integral part of the vast network of groups across the country that sprang up to promote the baseless claim that US elections are rigged.