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Dear Plex User,

We want you to be aware of an incident involving your Plex account information yesterday. While we believe the actual impact of this incident is limited, we want to ensure you have the right information and tools to keep your account secure.

What happened

Yesterday, we discovered suspicious activity on one of our databases. We immediately began an investigation and it does appear that a third-party was able to access a limited subset of data that includes emails, usernames, and encrypted passwords. Even though all account passwords that could have been accessed were hashed and secured in accordance with best practices, out of an abundance of caution we are requiring all Plex accounts to have their password reset. Rest assured that credit card and other payment data are not stored on our servers at all and were not vulnerable in this incident.

What we're doing

We've already addressed the method that this third-party employed to gain access to the system, and we're doing additional reviews to ensure that the security of all of our systems is further hardened to prevent future incursions. While the account passwords were secured in accordance with best practices, we're requiring all Plex users to reset their password.

What you can do

Long story short, we kindly request that you reset your Plex account password immediately. When doing so, there's a checkbox to "Sign out connected devices after password change." This will additionally sign out all of your devices (including any Plex Media Server you own) and require you to sign back in with your new password. This is a headache, but we recommend doing so for increased security. We have created a support article with step-by-step instructions on how to reset your password [here](https://support.plex.tv/articles/account-requires-password-reset/?utm_source=Plex&utm_medium=email&utm_content=reset_password&utm_campaign=sql_db_password_reset).

We'd also like to remind you that no one at Plex will ever reach out to you to ask for a password or credit card number over email. For further account protection, we also recommend enabling [two-factor authentication](https://support.plex.tv/articles/two-factor-authentication/?utm_source=Plex&utm_medium=email&utm_content=reset_password&utm_campaign=sql_db_password_reset) on your Plex account if you haven't already done so.

Lastly, we sincerely apologize to you for any inconvenience this situation may cause. We take pride in our security system and want to assure you that we are doing everything we can to swiftly remedy this incident and prevent future incidents from occurring. We are all too aware that third-parties will continue to attempt to infiltrate IT infrastructures around the world, and rest assured we at Plex will never be complacent in hardening our security and defenses.

For step-by-step instructions on how to reset your password, visit: https://support.plex.tv/articles/account-requires-password-reset Thank you,

The Plex Security Team

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# Comments: 9

We are seeing tons of AI-generated images from Dall-E, StableDiffusion, Midjourney, etc. flooding the internet.

This will only increase.

Not every such images has a distinct mark that denotes it as AI-generated. They could be mistaken for real photograph or real work of (digital) art by a human. Especially by an algorithm.

I also understand a lot of today's cutting-edge models are trained on images scraped from the web. Not sure what curation happens but it cannot be foolproof.

Will future AI models that generate "realistic" images feed on this as input and generate images that mimic some of these attributes -- creating some kind of feedback loop that will eco for generations of models?

Has anyone already thought of such issues -- not just with images but with AI-generated text, data, music, etc.

Curious to know what is the thinking of this group here.

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Points: 81

# Comments: 93

Our website: https://www.sievedata.com/

Hey HN! I'm one of the founders of a startup called Sieve, and at a high level we're building ML infrastructure focused on video data. Think about it as something similar to Databricks or what Tesla's ML data engine looks like internally, but focused on video and built for software engineers and data scientists who may not know the ins and outs of deep learning and infrastructure. We're a team of recent Cal grads with experience at many ML companies (Scale AI, NVIDIA, Niantic, Microsoft) and within a year, have multiple large paying customers.

Video is becoming a huge thing with apps like TikTok and Zoom taking over, and smart cameras being installed everywhere from homes, to farms, fleets, warehouses, retail stores, and more. We think we have the potential to position ourselves as the company that brings ML infrastructure to the masses of software companies just getting started on their journeys.

We're currently building out our founding team.

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