Introduction to AI News
Welcome to Get The Gist, where every weekday we share an easy-to-read summary of the latest and greatest developments in AI — news, innovations, and trends — all delivered in under 5 minutes!
Today’s Edition
In today’s edition:
- Microsoft Introduces Interactive Ads for Copilot Users
- Google Adds More Gemini AI Features to Meet and Chat
- Microsoft Testing a New “Press to Talk” Feature for Copilot
And more AI news…
Meta’s AI Chip Development
The Gist: Meta is testing its first in-house AI chip to cut costs and lessen reliance on NVIDIA, with plans to scale production if successful.
Key Details
- The chip is part of Meta’s MTIA series and is being manufactured by TSMC.
- It is optimized for AI tasks, making it more efficient than general GPUs.
- Meta aims to deploy in-house chips for AI training and inference by 2026.
- AI-related spending makes up a significant portion of the company’s projected $114–$119 billion expenses for 2025.
Microsoft’s Interactive Ads for Copilot
The Gist: Microsoft is rolling out new ad formats tailored for Copilot’s AI chat experience, offering brands more interactive ways to engage users.
Key Details
- Showroom Ads provide an immersive shopping experience where users can explore products and ask questions.
- Dynamic Filters help users refine product searches with AI-driven recommendations.
Conclusion
The advancements in AI technology are continuous, with companies like Meta and Microsoft pushing the boundaries of what AI can do. From developing in-house AI chips to introducing interactive ads, these innovations aim to make AI more accessible, efficient, and interactive for users.
FAQs
- Q: What is Meta’s goal with its in-house AI chip?
A: Meta aims to cut costs and lessen its reliance on NVIDIA by developing its own AI chip. - Q: What are the new ad formats introduced by Microsoft for Copilot?
A: Microsoft has introduced Showroom Ads and Dynamic Filters to provide an immersive and interactive experience for users. - Q: How does Meta plan to use its in-house AI chips?
A: Meta plans to deploy its in-house chips for AI training and inference by 2026.
