Systems and Methods for Interacting and Interfacing with an Artificial Intelligence System

A hand-held computing device, comprising:

• an elongated, cylindrical body having a first end and a second end that is opposite the first end along a longitudinal axis of the body;
• a display screen positioned at the first end of the body;
• one or more processors;
• and
• one or more non-transitory computer-readable media that collectively store instructions that when executed by the one or more processors cause the hand-held computing device to:
• receive data descriptive of a virtual object, wherein the virtual object has a virtual location in three-dimensional space;
• display a portion of the virtual object on the display screen, wherein the portion of the virtual object displayed on the display screen has a virtual location that is along a projection of the longitudinal axis from the second end of the body at a current pose of the body;
• and
• in response to movement of the body from the current pose to a new pose, update the display screen such that the display screen displays a new portion of the virtual object that has a virtual location that is along the projection of the longitudinal axis from the second end at the new pose of the body.

A computing system, comprising:

• an elongated, cylindrical body having an end;
• a screen disposed adjacent the end;
• a machine-learned model configured to produce an output and a confidence value associated with the output;
• one or more processors;
• and
• one or more non-transitory computer-readable media that collectively store instructions that when executed by the one or more processors cause the computing system to display a confidence graphic on the screen that graphically describes the confidence value associated with the output of the machine-learned model.

A computing system, comprising:

• a machine-learned model configured to receive an input;
• one or more processors;
• and
• one or more non-transitory computer-readable media that collectively store instructions that when executed by the one or more processors cause the computing system to:
• selectively collect information about a surrounding environment;
• input at least a portion of the collected information into the machine-learned model as the input;
• selectively switch from one of a plurality of data collection modes to another of the plurality of data collection modes, the data collection modes comprising a permissible collection mode and a prohibited collection mode, wherein in the permissible collection mode, the computing system is permitted to collect information from the surrounding environment, and wherein in the prohibited collection mode, the computing system is prohibited from collecting information from the surrounding environment;
• and
• provide an indication of a current data collection mode of the computing system, the current data collection mode being selected from the plurality of data collection modes.