Extropic's chip promises a 10,000x energy leap

PLUS: ChatGPT lands on macOS and multi-agent coding arrives

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A new startup named Extropic is taking on AI's massive energy problem with a thermodynamic chip architecture. The company claims its new hardware, which handles probability instead of traditional processing, can run models with 10,000 times less energy.

The design trades some precision for this huge energy reduction. But with development kits already shipping to AI labs, will this new approach be the key to unlocking AI capabilities currently blocked by massive power needs?PRESENTED BY LINDY AI

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Today in AI:

Character AI announced it will block users under 18 from open-ended chats starting in late November, in response to growing legal pressure.

Google simplified app creation with "vibe coding" in AI Studio, allowing users to build applications from prompts using Gemini models without needing deep API knowledge.

Amazon equipped its delivery drivers with AI-powered smart glasses that display navigation information and package details directly in their line of sight.

OpenAI eyes a move into music generation, with reports indicating it is developing a tool that uses text and audio prompts to create custom soundtracks and jingles.

Top Stories:

  • Extropic’s 10,000x energy-saving AI chip

  • ChatGPT arrives on macOS as a native app

  • The rise of multi-agent AI coding assistants

What's new? Extropic just introduced a thermodynamic chip architecture that handles probability calculations instead of traditional processing. The company claims the hardware can run AI models using 10,000x less energy than current GPUs.

What matters?

  • Instead of working step-by-step, Extropic's chips generate probable solutions directly, trading some precision for a massive reduction in energy use.

  • The startup has already shipped its first development kit to AI labs and weather companies, along with open-source tools for researchers to test the approach.

  • Founded by ex-Google researcher Guillaume Verdon, famously revealed as the X personality @BasedBeffJezos, the company is tackling AI's progress-limiting energy demands head-on.

Why it matters?

This new hardware represents a fundamental shift away from traditional chip designs that are hitting energy limits. If successful at scale, this approach could unlock new AI capabilities currently constrained by massive power requirements.

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What's new? OpenAI has acquired Software Applications, Incorporated to build a native ChatGPT application for macOS. This move will embed the AI directly into the operating system for deeper workflow integration.

What matters?

  • The new native desktop app moves ChatGPT beyond the browser, allowing it to run more efficiently and interact directly with other macOS applications.

  • This deep integration enables users to automate tasks across different programs, such as summarizing a document and drafting an email reply without switching windows.

  • The acquisition positions ChatGPT as a direct competitor to other integrated assistants, aiming to become an essential OS-level assistant for all desktop activities.

Why it matters?

This development transforms ChatGPT from a tool you visit into a proactive assistant embedded throughout your workflow. It signals a major shift toward AI becoming a fundamental layer of the desktop experience.

What's new? AI-native code editor Cursor has released its 2.0 platform, introducing its first proprietary coding model, Composer, and support for multi-agent workflows.

What matters?

  • Composer is Cursor's first in-house model, generating code approximately 4x faster than rival systems and marking the company's move away from relying on third-party AIs.

  • The updated platform allows developers to manage up to eight AI assistants working in parallel, enabling them to tackle different parts of a project simultaneously without interference.

  • Additional capabilities like integrated web browsing for documentation lookups and voice commands aim to create a more seamless development environment.

Why it matters?

This platform shifts the developer's role from writing every line of code to directing and reviewing the work of multiple AI agents. Success in this new paradigm will depend less on pure coding ability and more on architectural judgment and quality control.

PRESENTED BY MINDSTREAM

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