Extropic’s New Chip, Cursor New Coding Model 2.0, 1X NEO Home Robot

Extropic’s Chip Claims AI Energy Breakthrough

Extropic just introduced thermodynamic sampling units (TSU), a new chip architecture that handles probability calculations instead of traditional processing, claiming the hardware can run AI models using 10,000x less energy than current GPUs.

The details:

• Instead of working step-by-step like traditional GPUs, Extropic\’s chips generate probable solutions directly, trading precision for lower energy use
• The startup shipped its first development kit to AI labs and weather companies, plus open-source tools for researchers to test the approach
• Extropic will ship its Z-1 chip next year, designed to run a new type of diffusion model that creates images and videos by removing noise over multiple steps
• Founded by former Google quantum researchers, Extropic believes that energy limits will cap AI progress unless the industry abandons its current chip designs

Why it matters: Led by Guillaume Verdon (revealed as the popular @BasedBeffJezos on X), Extropic has been teasing a paradigm shift in AI hardware for years—and today looks like a first major public step towards that vision. The 10,000x energy efficiency claim, if proven at scale, could fundamentally reshape AI economics and make massive model deployments viable.

Cursor Launches New Coding Model, 2.0 Platform

The Cursor just released Composer, the company\’s first proprietary coding model that nears frontier capabilities with SOTA speed—alongside an overhauled 2.0 platform designed to run multiple AI agents simultaneously.

The details:

• Composer achieves top-level intelligence while generating code roughly 4x faster than rival systems, completing most tasks in under 30 seconds
• The 2.0 platform release lets developers run up to eight AI assistants independently at the same time without interference
• Additional capabilities include integrated web browsing for documentation lookup, a native browser tool for testing, voice commands, and more
• Composer is Cursor\’s first in-house model, marking the startup\’s first move away from relying exclusively on third-party AI coding systems

Why it matters: Cursor is betting on a future where engineers spend more time directing multiple AI agents and reviewing work instead of directly coding—shifting skillsets from pure coding ability to judgment, architecture decisions, and quality control. The 4x speed advantage and multi-agent orchestration represent that vision becoming real.

1X Debuts NEO Home Robot for $499/Month

The 1X just opened pre-orders for NEO, its bipedal home robot built to automate everyday chores with a tap or a voice command. Shipping next year in the U.S., NEO arrives loaded with autonomous skills—but it doesn\’t come alone.

The details:

• Early adopters can purchase NEO for $20K or opt for a $499/month rental plan; first deliveries start in 2026
• NEO autonomously handles basics like opening doors, fetching items, and turning lights on/off, with skills added over time via software updates
• Control is conversational: NEO uses a built-in large language model to understand speech, gestures, and context for natural, hands-free operation
• For complex or bespoke tasks, 1X provides human teleoperation with safeguards like blurring people and user-defined no-go zones

Why it matters: The human-in-the-loop setup is a trade-off: NEO works now instead of waiting years for perfect autonomy. Not everyone\’s comfortable with a remote operator in VR, but 1X says that\’s how it gets smarter, faster. This pricing makes home robots accessible beyond early adopter luxury tier.

Also read about: OpenAI Microsoft deal renegotiation, Adobe Goes Big on AI, and Elon Musk’s Grokipedia

Jigar Chaudhary

Jigar Chaudhary is the Editor-in-Chief at UrviumAI, where he oversees coverage of artificial intelligence news, tools, and in-depth studies. With over 5 years of experience analyzing AI and robotics, he focuses on maintaining high editorial standards, accurate reporting, and clear explanations to help readers understand how AI is shaping the future.