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submitted 2 weeks ago* (last edited 2 weeks ago) by Pro@programming.dev to c/Technology@programming.dev
 

Today we’re introducing two AI updates

new AI-powered search results carousel to suggest videos and topic descriptions by creators across YouTube. Imagine searching for “best beaches in Hawaii” — you could see an AI-generated carousel highlighting clips from videos showcasing the best snorkel spots and volcanic beaches

AI-powered search results carousel in action.

our conversational AI tool will be expanding to some non-Premium users in the US.

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submitted 2 weeks ago* (last edited 2 weeks ago) by Pro@programming.dev to c/technology@lemmy.world
 

Today we’re introducing two AI updates

new AI-powered search results carousel to suggest videos and topic descriptions by creators across YouTube. Imagine searching for “best beaches in Hawaii” — you could see an AI-generated carousel highlighting clips from videos showcasing the best snorkel spots and volcanic beaches

AI-powered search results carousel in action.

our conversational AI tool will be expanding to some non-Premium users in the US.

 
 
 

Developing a new video conferencing application often begins with a peer-to-peer setup using WebRTC, facilitating direct data exchange between clients. While effective for small demonstrations, this method encounters scalability hurdles with increased participants. The data transmission load for each client escalates significantly in proportion to the number of users, as each client is required to send data to every other client except themselves (n-1).

In the scaling of video conferencing applications, Selective Forwarding Units (SFUs) are essential. Essentially a media stream routing hub, an SFU receives media and data flows from participants and intelligently determines which streams to forward. By strategically distributing media based on network conditions and participant needs, this mechanism minimizes bandwidth usage and greatly enhances scalability. Nearly every video conferencing application today uses SFUs.

In 2024, we announced Cloudflare Realtime (then called Cloudflare Calls), our suite of WebRTC products, and we also released Orange Meets, an open source video chat application built on top of our SFU.

We also realized that use of an SFU often comes with a privacy cost, as there is now a centralized hub that could see and listen to all the media contents, even though its sole job is to forward media bytes between clients as a data plane.

We believe end-to-end encryption should be the industry standard for secure communication and that’s why today we’re excited to share that we’ve implemented and open sourced end-to-end encryption in Orange Meets. Our generic implementation is client-only, so it can be used with any WebRTC infrastructure. Finally, our new designated committer distributed algorithm is verified in a bounded model checker to verify this algorithm handles edge cases gracefully.

 

In deepin 25, AI is no longer a distant feature; it's an intelligent companion integrated into the system, always attuned to your needs.

 

In deepin 25, AI is no longer a distant feature; it's an intelligent companion integrated into the system, always attuned to your needs.

 

In deepin 25, AI is no longer a distant feature; it's an intelligent companion integrated into the system, always attuned to your needs.

 

We all know the feeling: having spent a little too much time on our phones, scrolling aimlessly and without purpose. But what exactly are we dissatisfied with when we talk about “too much screen time”? And why is it so difficult to do something about it?

A new research project from the University of Copenhagen has investigated precisely these questions – and the answers are both surprising and thought-provoking.

 

In a pivotal moment for artificial intelligence and copyright law, Meta has secured a bittersweet partial fair use victory in its defense of a 'piracy' lawsuit filed by several book authors. While granting Meta summary judgment on specific claims, the court outlined how copyright challenges against AI developers might succeed in the future. The decision emphasizes the critical importance of proving potential market harm, specifically by AI-generated books.

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