AI now control your PC

PLUS: Mochi-1, a powerful open-source AI video model is here and you should know about it

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This day was coming.

I knew we are going to witness an AI software controlling our computers for us and doing all the tasks we want it to perform.

Anthropic’s newly upgraded Claude Sonnet 3.5 can actually do that.

In today’s post I will share with you everything you need to know with other interesting AI stories.

In today’s post:

  • Anthropic’s upgrade to Claude Sonnet 3.5

  • xAI launches API

  • Mochi-1, AI video model

  • Trending AI tools

🤖 ANTHROPIC UPGRADE

What this new upgrade bring to the table?

Here’s everything you need to know:

Anthropic has just released Claude 3.5 Sonnet, a major update to its AI model that can now control desktop applications via a new "Computer Use" API. This means the AI can emulate human actions on a PC, such as keystrokes and mouse clicks, to perform tasks like managing emails, conducting research, and navigating software.

New upgrade, new benchmarks!

Key Features:

  • Desktop Automation: Claude 3.5 Sonnet interacts with apps, mimicking user actions like clicking, typing, and scrolling to complete tasks on your computer.

  • Advanced Performance: With enhanced coding abilities, it can self-correct and work through complex tasks, making it ideal for a wide range of applications.

  • Versatile API (: Developers can access the Computer Use API through Anthropic’s platform, Amazon Bedrock, or Google Cloud's Vertex AI.

And some limitations ):

  • Error-Prone: Though powerful, the model can struggle with basic tasks like scrolling and zooming, and may miss short-lived notifications.

  • Security Concerns: While steps have been taken to prevent misuse, the model’s ability to access and manipulate apps raises concerns about privacy and safety.

This release marks a significant step toward AI-powered virtual assistants that can handle back-office tasks autonomously, but it’s still early days. For now, developers are encouraged to explore the model with caution, as Anthropic continues to refine its capabilities and safety features.

Read the full story here

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💻 xAI Launch API

What is this for? I think it’s Grok…

Let me share everything I know about this:

Elon Musk’s AI startup, xAI, has officially launched its API, offering access to the company’s generative AI model, Grok.

The API currently supports grok-beta, priced at $5 per million input tokens and $15 per million output tokens (approximately 750,000 words). Despite being in its early stages, the API supports function calling, enabling integration with tools like databases and search engines.

Key highlights include:

  • Pricing: $5 per million input tokens and $15 per million output tokens.

  • Model: The grok-beta model, though it’s unclear if this is the latest Grok 2 model used on X.

  • Functionality: Supports function calling for integration with external tools, with future support hinted for vision models that analyze both text and images.

xAI’s Grok model, known for its “rebellious streak,” has already been integrated into X Premium+ services, offering users unique features like image generation and summarizing news (though not without errors). While the API launch aims to accelerate xAI’s growth, the startup faces stiff competition from AI giants like OpenAI and Anthropic. I’m excited about this…

Read the full story here

🎥 Mochi-1, AI video model

Genmo’s new AI video model is free to use…

Let me share with you what I know briefly in a non-robotic way….(:

Mochi-1 is Genmo’s latest entry into the AI video space, an open-source model released under the Apache 2.0 license, allowing anyone to use, tweak, and improve it. As the generative AI landscape becomes increasingly competitive, Genmo is betting on openness to set them apart.

The standout feature of Mochi-1 is its focus on motion, which many AI-generated videos currently lack.

Paras Jain, Genmo’s CEO, explained that video’s essence is movement, and Mochi-1 has been specifically trained to handle that challenge.

Unlike other models that mix video, text, and images in training, Mochi-1 was trained solely on video, giving it a more realistic understanding of physics and motion.

Prompt adherence has also been a major focus, ensuring the model accurately follows user instructions.

While the current version is limited to 480p resolution, its open-source nature means that anyone can contribute to improving it, potentially making it run on lower-powered hardware in the future.

Mochi-1 may not be perfect yet, but its open-source approach and commitment to motion realism make it a promising tool for anyone looking to push the boundaries of AI-generated video. It’s a starting point with great potential.

Try this here for free at Genmo’s site

TOOLS

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