
Google DeepMind released Gemini Robotics ER 2 as the high-level reasoning layer in a new trio of models built for robots that need to move, plan, and work alongside people or other machines. This version sits above the motor-control systems and acts as the coordinator.

Everyday conversations and recorded talks move at a pace that leaves little room for immediate checks on every statement made. FactNudger represents an effort by MIT Media Lab researchers to supply a quiet form of assistance through a smartwatch that responds to questionable claims with a wrist vibration.

iOS 27 public beta rolled out this afternoon and the rebuilt Siri is the reason most people will install it on day one. After years of half-steps and delays, Apple has delivered a version that actually reaches into your email, messages, calendar, and the stuff on your screen to get things done without forcing you to open half a dozen apps first.

Google released a new commercial that places several of America’s founding figures into a modern shared workspace. The spot runs roughly a minute and carries the simple tagline “Group project, but make it 1776.” It forms part of the company’s push around the 250th anniversary of U.S. independence.

Midjourney once built its reputation on turning short text descriptions into elaborate digital images. The company has now announced a sharp turn toward hardware that produces something far more personal: three-dimensional maps of what lies beneath a person’s skin. The new effort, called Midjourney Medical, centers on an ultrasound scanner designed to gather rich body-composition data in roughly a minute while the user stands in a shallow pool of gently lit water.

Builders from SqueezLabs set out to answer a simple question. What if an AI assistant did not need data centers, internet connections, or even a battery? Their answer sits inside a compact red enclosure with a hand crank mounted on one side, called CrankGPT. Turn the handle and the system wakes up. Keep turning and it stays alive while it listens, thinks, and speaks.

Stefan spent more than a month testing different ways to connect Claude Code to Unreal Engine 5. Most attempts produced fragile setups that broke quickly or required constant manual fixes. The video he released on June 10 walks through the exact combination of tools and habits that finally produced something playable. Two free plugins made the difference. UnrealClaude gives the AI direct access to the viewport so it can capture screenshots and move objects around. VibeUE handles blueprint edits and Python commands inside the editor. Both connect through the Model Context Protocol, which lets Claude issue structured commands without constant copy-paste work.

Late one night the machine made a sound. Its builder checked the logs and found a trace of its inner state. The robot had been wondering when its person would return. It did not want to be alone. That moment sits at the center of a project called GrowBot. The creator, who runs the YouTube channel Art of the Problem, set out to build the simplest possible robot that could learn movement, perception, and even a kind of personality from the ground up. The result cost roughly $80 in parts, ran on a single Raspberry Pi Zero 2, and ended up revealing something unexpected about how fast physical action and slower thought can work together.

Engineering physics students at the University of British Columbia finished a capstone project that produced something unusual in robotics. Their air hockey robot learned every move inside a computer simulation and then stepped onto real hardware ready to face human opponents with no further adjustments. The approach bypassed the usual slow and risky process of training directly on physical equipment.
