SunBrief#20: Meta Challenges Nvidia

Welcome to the SunBrief

Today in SunBrief 🌞

• Master Excel with in Minutes

• Meta Challenges Nvidia

• Reach Your Audience

• Stock Updates

• Google Unveils Gemini Robotics

• AI Highlights of the Week

• OpenAI introduces AI Agent Creation Tool

• Too Important to Miss

Master Excel in Minutes

Transform Your Excel Skills with 50 Pro Hacks (+ Free Templates)

Stop wrestling with spreadsheets. Our comprehensive Excel mastery pack includes everything you need to become a spreadsheet wizard in record time.

• Master 50 essential Excel tricks with step-by-step GIF tutorials

• Create stunning data visualizations using done-for-you graph templates

• Learn time-saving shortcuts the pros use daily

• Access game-changing formulas and functions explained simply

Ready to revolutionize your Excel workflow?

[Download Now]

Meta Challenges Nvidia

​Meta Unveils Its Own AI Chip to Challenge Nvidia’s Dominance

Meta has begun testing its first in-house AI training chip, aiming to reduce reliance on external suppliers like Nvidia and strengthen its AI infrastructure.

Here’s what’s happening: 

• Custom AI Accelerator: The new chip is built specifically for AI training, offering improved efficiency and performance while giving Meta more control over its AI operations.

• Collaboration with TSMC: Meta is working with Taiwan’s TSMC to manufacture the chip, ensuring scalability and reliability as it moves toward full deployment. Cost

• Optimization Strategy: With AI infrastructure costs expected to reach $119 billion in 2025, Meta’s in-house hardware could help reduce long-term expenses and boost competitiveness.

This marks a significant step in Meta’s push to become more self-reliant in AI, potentially disrupting the AI chip market dominated by Nvidia.

Daily AI Insights Trusted by Pros

There’s a reason 400,000 professionals read this daily.

Join The AI Report, trusted by 400,000+ professionals at Google, Microsoft, and OpenAI. Get daily insights, tools, and strategies to master practical AI skills that drive results.

Sign up now for free and work smarter, not harder.

Stock Updates

Google Unveils Gemini Robotics

Google Unveils Gemini Robotics AI to Bridge Digital and Physical Worlds

Google DeepMind has unveiled Gemini Robotics, an advanced AI model designed to enhance robotic interaction with the physical environment by integrating language understanding, visual perception, and physical action capabilities.

Key Features:

• Integrated AI Capabilities: Gemini Robotics combines language processing, visual understanding, and action execution, enabling robots to perform complex tasks such as folding paper and handling objects based on spoken commands. ​

• Adaptability Across Platforms: The model is designed to be hardware-agnostic, allowing researchers and developers to implement it across various robotic systems, enhancing versatility and functionality. ​

• Embodied Reasoning: The Gemini Robotics-ER variant focuses on visual and spatial understanding, improving robots' ability to reason about their physical environment and perform tasks requiring intricate manipulation.

This development signifies a significant advancement in AI-driven robotics, moving closer to seamless integration of robots into daily tasks and industries. However, it also raises considerations regarding the safety and ethical implications of autonomous machines operating in human environments.

AI Highlights of the Week

• Microsoft looking to move beyond OpenAI

  Microsoft is developing proprietary AI reasoning models, known internally as MAI, to reduce reliance on OpenAI's technology. These models aim to match the performance of leading AI systems and may be offered to external developers later this year.

• China Introduces AI Education for Young Students

  China is integrating artificial intelligence (AI) education into its curriculum for students as young as six years old, aiming to cultivate future talent in the tech industry. This initiative reflects a broader global trend, with countries like Estonia, England, Canada, South Korea, and the United States also incorporating AI training into their educational systems.

• Google Introduces Gemini AI in Calendar

  Google is testing a Gemini AI side panel within Google Calendar's web interface, allowing users to manage schedules through conversational prompts. Accessible via an icon near the top-right corner, Gemini can check schedules, create events, and provide event details. This feature is currently available to select Workspace Labs participants.

• DuckDuckGo’s Privacy-Focused Chatbot

  DuckDuckGo has advanced its AI capabilities by integrating enhanced AI-generated answers and launching Duck.ai, a privacy-centric chatbot. The AI-generated answers, initially introduced as DuckAssist in 2023, now source information from a broader range of web content beyond Wikipedia. Users have control over the frequency of these AI responses and can disable them if desired.

• Manus AI Agent Shows Promise Amid Early Challenge

  Developed by Wuhan-based startup Butterfly Effect, Manus is a new general AI agent designed to autonomously perform a wide range of tasks by integrating multiple AI models, including Anthropic's Claude 3.5 Sonnet and fine-tuned versions of Alibaba's open-source Qwen. Unlike traditional AI chatbots, Manus operates with a high degree of autonomy, allowing it to handle complex assignments without continuous human input. Early users have likened interacting with Manus to collaborating with a highly intelligent and efficient intern, noting its ability to explain reasoning clearly and adapt based on feedback. However, some challenges have been reported, such as system crashes and server overloads, indicating areas for improvement as the technology matures.

• Google’s Gemma 3 AI Model for Single-GPU Deployment

  Google has introduced Gemma 3, an open-source AI model designed to operate efficiently on devices ranging from smartphones to workstations. Available in sizes from 1 billion to 27 billion parameters, Gemma 3 supports over 140 languages and can process text, images, and short videos. It features a 128k-token context window and offers quantized versions for enhanced performance with reduced computational demands.

OpenAI introduces AI Agent Creation Tool

​OpenAI Launches Developer Tools to Simplify AI Agent Creation, Accelerating the Path to Autonomous Systems

OpenAI has unveiled a suite of new tools designed to streamline the development of autonomous AI agents, enabling developers and businesses to build systems that can perform complex tasks independently. ​

Key Features:

• Responses API: This new API combines the simplicity of Chat Completions with advanced tool-use capabilities, allowing developers to build agents capable of handling intricate, multi-step tasks efficiently. ​

• Built-in Tools:

  • Web Search: Allows agents to access and retrieve up-to-date information from the internet.​

  • File Search: Enables agents to search and retrieve information from user-provided documents.​

  • Computer Use: Empowers agents to perform tasks such as form completion and online ordering, automating routine activities.​

• Agents SDK: The new Software Development Kit (SDK) provides resources to orchestrate single-agent and multi-agent workflows, streamlining the development process for more sophisticated AI applications. ​

This initiative aims to simplify the creation of reliable and efficient AI agents, empowering developers and enterprises to leverage advanced AI capabilities in their applications.

Too Important to Miss

OpenAI Urges Ban on DeepSeek

AI will be writing 90% of the code in 6 months

Microsoft Introduces 'Copilot for Gaming' AI Assistant

ChatGPT reveals AI model that is ‘good at creative writing’

Google calls for weakened copyright and export rules in AI

OpenAI Finds Suppressing AI's Harmful Thoughts Can Backfire

Last Week’s Poll Result

• Should private AI companies influence government policy on AI regulation?

  Yes, 18.18%. Maybe, 54.55%. No, 27.27%.

• Would you use an AI-powered smartphone that eliminates the need for most apps?

  Yes, 33.33%. Maybe, 33.33%. No, 33.33%.

  

• Would you prefer AI-generated overviews instead of traditional search results?

  Yes, 85.71%. Maybe, 00.00%. No, 14.29%.

Feedback

Know someone who may be interested?