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

Time to unfollow them, I guess.

285
submitted 2 weeks ago* (last edited 2 weeks ago) by Pro@programming.dev to c/technology@lemmy.world
 

Time to unfollow them, I guess.

 

Can the cops get your online data? In short, yes. There are a variety of US federal and state laws which give law enforcement powers to obtain information that you provided to online services. But, there are steps you as a user and/or as a service provider can take to improve online privacy.

Law enforcement demanding access to your private online data goes back to the beginning of the internet. In fact, one of EFF’s first cases, Steve Jackson Games v. Secret Service, exemplified the now all-too-familiar story where unfounded claims about illegal behavior resulted in overbroad seizures of user messages. But it’s not the ’90s anymore, the internet has become an integral part of everyone’s life. Everyone now relies on organizations big and small to steward our data, from huge service providers like Google, Meta, or your ISP, to hobbyists hosting a blog or Mastodon server.

There is no “cloud,” just someone else's computer—and when the cops come knocking on their door, these hosts need to be willing to stand up for privacy, and know how to do so to the fullest extent under the law. These legal limits are also important for users to know, not only to mitigate risks in their security plan when choosing where to share data, but to understand whether these hosts are going to bat for them. Taking action together, service hosts and users can curb law enforcement getting more data than they’re allowed, protecting not just themselves but targeted populations, present and future.

This is distinct from law enforcement’s methods of collecting public data, such as the information now being collected on student visa applicants. Cops may use social media monitoring tools and sock puppet accounts to collect what you share publicly, or even within “private” communities. Police may also obtain the contents of communication in other ways that do not require court authorization, such as monitoring network traffic passively to catch metadata and possibly using advanced tools to partially reveal encrypted information. They can even outright buy information from online data brokers. Unfortunately there are few restrictions or oversight for these practices—something EFF is fighting to change.

Below however is a general breakdown of the legal processes used by US law enforcement for accessing private data, and what categories of private data these processes can disclose. Because this is a generalized summary, it is neither exhaustive nor should be considered legal advice. Please seek legal help if you have specific data privacy and security needs.

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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.

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