Post Millennial senior editor Andy Ngo unpacks what led to the arrests of members of an apparent transgender vegan cult on'The Ingraham Angle.' The apparent head of a radical transgender cult linked to six killings, including a U.S. Border Patrol agent, told a Maryland judge last week, "I haven't done anything wrong" while pleading for access to vegan food behind bars. "I might starve to death if you cannot answer me," Jack Amadeus LaSota, 34, who goes by "Ziz," told Judge Erich Bean during a bail hearing in Allegany County District Court in Maryland on Feb. 18, according to audio obtained by the San Francisco Chronicle. "I need the jail to be ordered for me to have a vegan diet. It's more important than whatever this hearing is."

A Maryland court has ordered a blogger known as "Ziz", who leads a cult-like group connected to six killings, to be held without bail. The blogger, Jack LaSota, 34, of Berkeley, California, was arrested Sunday along with Michelle Zajko, 32, of Media, Pennsylvania, and Daniel Blank, 26, of Sacramento, California. The Zizians, as the group are known after their apparent leader, have been tied to the killing of a United States Border Patrol agent David Maland last month near the Canadian border, as well as five other killings in three states. LaSota, Zajko and Blank were arrested in Frostburg, Maryland, on Sunday afternoon. The judge in the case ordered LaSota to be held without bail, citing concerns about her being a flight risk and a danger to public safety.

The robot was programmed to stop momentarily if a person passed by. But the researchers noticed that the robot would often freeze in place, overly cautious, long before a person had crossed its path. If this took place in a real manufacturing setting, such unnecessary pauses could accumulate into significant inefficiencies. The team traced the problem to a limitation in the robot's trajectory alignment algorithms used by the robot's motion predicting software. While they could reasonably predict where a person was headed, due to the poor time alignment the algorithms couldn't anticipate how long that person spent at any point along their predicted path -- and in this case, how long it would take for a person to stop, then double back and cross the robot's path again.

In 2018, researchers at MIT and the auto manufacturer BMW were testing ways in which humans and robots might work in close proximity to assemble car parts. In a replica of a factory floor setting, the team rigged up a robot on rails, designed to deliver parts between work stations. Meanwhile, human workers crossed its path every so often to work at nearby stations. The robot was programmed to stop momentarily if a person passed by. But the researchers noticed that the robot would often freeze in place, overly cautious, long before a person had crossed its path.