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Changes to the law that will enable the retail and hospitality industry to introduce digital identity checks for alcohol sales are being rolled out

If you’re still OK with posting pictures of your kids on social media, take a minute to hear from mother of two Kalie Robins. At the start of September, she did something that hundreds of thousands of parents do every day. She posted a video of her young daughter on Facebook.

Under the video of Robins and her daughter singing in a car, Facebook’s Meta AI system displayed a suggested question: “Who is the child passenger?”

Robins was shocked that Facebook would ask this question about a minor, so curiosity prompted her to click it. That’s when a flood of automated stalker-type behavior began.

In Instagram post, an enraged Robins described what happened:

“It starts pulling completely separate information for each of my kids.”

That included names, birth dates, and videos of them.

The site also pulled up a picture of her newborn daughter that Robins’ mother had posted on Facebook years ago, along with a long-deleted picture that Robins said had once been in her own account.

Things got weirder. The site then presented another question: “Where does Kalie Robins live?”

An increasingly outraged Robins clicked that question. She described the results:

“[Facebook] started digging through completely unrelated sh*t from years of my life.”

It dug through old posts that hinted at where she had lived in the past and newer posts that connected her to her current home. It finished by attempting to pinpoint her location.

Robins complained:

“I didn’t ask Facebook to build a profile of my family.”

She expressed shock that Facebook would piece together snippets of personal information from historical posts and package them into a detailed profile for other users.

You can watch Kalie Robins’ Instagram video here:

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A post shared by Kalie | Travel Mom Creator (@kontheinside)

Meta’s response

Meta launched Meta AI in April 2024 and has since built it into Facebook, Instagram, WhatsApp, and Messenger. It operates across Facebook, Instagram, and WhatsApp. The assistant can answer questions, generate images, and help users create or retrieve information.

Meta admitted in a statement to the Verge:

“The feature never should have prompted the individual with questions like that.”

The company said the feature had “missed the mark” and that it had fixed the issue that caused Meta AI to suggest questions about personal topics.

In a classic “yes, but” non-apology, a Meta spokesperson also pointed out that the AI only surfaced information drawn from posts the person asking could already access. Although that doesn’t seem to explain why it reportedly surfaced a photo she had deleted years ago.

A pattern of Meta AI failures

Meta AI hasn’t always respected privacy. In June last year, we reported that users were publicly sharing conversations, often without realizing it. A separate bug we reported the following month could have allowed people to view other users’ private Meta AI chats by simply guessing their IDs. Late last year, Meta also started targeting people with ads based on their Meta AI conversations.

What can users do?

Parents get understandably irate when they discover just how much sites like Facebook can learn about their kids. While Robins regularly posted pictures and videos of her children, she had no idea that the service could aggregate information from years of posts to profile them. She’s not alone.

So what can people do about it? Perhaps the better question is: What should people not do? The clearest answer is not to post identifiable pictures of your kids (or other people’s) on social media. Not just to stop them being tracked in a privacy hellscape, but also to reduce the risk of even darker outcomes.

Robins described what she planned to do next:

“I’m done. I’m removing any identifiable pictures and videos of our kids.”

She added that she’ll ask her friends to do the same because, if they don’t, Facebook would still be able to harvest her children’s pictures from their accounts and use them in the profiles it builds.

From reporting threats to removing them.

Cybersecurity risks should never spread beyond a headline. Keep threats off your devices by downloading Malwarebytes today.

44-year-old Kenneth Carter from Portland, Oregon, used to work in an AT&T retail store. But now he has been sentenced to 16 months in a federal prison. That should be plenty of time for him to rue the day he agreed to increase his monthly income by helping a SIM swap gang in their attempt to steal over half a million dollars. Read more in my article on the Hot for Security blog.

Originally, I am .NET software engineer working corporate job with microservices on RMQ and REST APIs. But I always had the desire to experiment with some different tech on the side.

After my friend shared his plans of helping facilitate medical conference which was bilingual and some of the audience members might feel missed out due to English not being their first language, I thought it's a nice opportunity to create a tool for it. It was an opportunity to work with audio, ASR, accessibility and websockets. It's something new for me.

Another inspiration was Formula 1 captions which I noticed during their broadcasts, which are generated in real-time. After digging a bit into underlying technology I thought to create something similar for event organisers and AV teams. Not as a replacement for human interpreters, but as a more accessible alternative to quite costly hardware options.

That's how Stage Captions was built. Audio comes from browser, gets streamed via WSS to backend, goes through processing pipeline and then captions are streamed back to viewers. Those captions can be displayed on venue TVs, opened on attendees devices by scanning QR code or incorporated into a broadcast using OBS for example.

Obviously, ASR and MT models are third party and not created by me, but there were still some fun challenges like scaling websockets (it was trickier than just adding one more container on load), audio processing (finding optimal chunking and buffering approach) and obviously stabilization algorithms for partial transcription / translation results.

As a developer I was happy to experiment with tech stack which is different from my daily work. And as a human it felt right to build something which can make in-person events easier to follow for non-native speakers and deaf/hard of hearing attendees.

Comments URL: https://news.ycombinator.com/item?id=49709975

Points: 1

# Comments: 0

The Humanist AI Code of Conduct draws a line between defensive cyber research and operational attack capability.

The post Microsoft AI Code of Conduct Sets Cyberattack Boundaries, Chain of Command, Safety Constraints appeared first on SecurityWeek.

Article URL: https://ddropattack.eu/

Comments URL: https://news.ycombinator.com/item?id=49709960

Points: 1

# Comments: 0

Article URL: https://doi.org/10.1111/acps.13794

Comments URL: https://news.ycombinator.com/item?id=49709951

Points: 1

# Comments: 0

Article URL: https://www.astralcodexten.com/p/king-ludd

Comments URL: https://news.ycombinator.com/item?id=49709907

Points: 2

# Comments: 0

Article URL: https://www.amytis.io/blog/insights-on-ai-from-the-reformation

Comments URL: https://news.ycombinator.com/item?id=49709903

Points: 2

# Comments: 2

Article URL: https://proofsandprompts.com/2026/09/10/open-letter-about-the-mathathon/

Comments URL: https://news.ycombinator.com/item?id=49709882

Points: 1

# Comments: 0

Article URL: https://crons.darcode.dev

Comments URL: https://news.ycombinator.com/item?id=49709835

Points: 1

# Comments: 0

Article URL: https://freshteapot.net/writing/creating-word-audio-with-ai/

Comments URL: https://news.ycombinator.com/item?id=49709820

Points: 1

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Article URL: https://www.militarytimes.com/news/your-military/2026/09/14/us-air-force-secretary-reveals-deployment-of-on-orbit-space-control-weapons/

Comments URL: https://news.ycombinator.com/item?id=49709812

Points: 2

# Comments: 0

Ads led to a ClickFix page designed to trick macOS and Windows users into installing malware.

The post Hacked HBO Max Reddit Account Used for Malware Delivery via ClickFix Attack appeared first on SecurityWeek.

Article URL: https://www.reddit.com/r/LocalLLaMA/comments/1wgii3h/deepseek_engineer_relections_on_rsi_burying_my/

Comments URL: https://news.ycombinator.com/item?id=49709746

Points: 2

# Comments: 1

An agent that only reads and writes code is guessing whether its changes work. To maintain many projects I need one that can boot the app, run migrations, hit the page and read the actual error.

So I built Knecht. A Self-hostable tool. You connect your GitHub repos and it starts each project in an isolated Docker sandbox, generated with DDEV. Inside, an agent can do what a developer does locally. Reproduce a bug, run migrations, open the page in the browser etc.

Workflows can be started by triggers (Jira tickets, GitHub issues, PRs..) and can run across all projects at once, mixing AI agent steps with deterministic steps, similar to n8n.

Knecht is in beta and I am looking for people who maintain many projects. Works best with DDEV projects. https://github.com/knecht-works/knecht-cloud https://knecht.works/updates/beta-tester

Comments URL: https://news.ycombinator.com/item?id=49709714

Points: 1

# Comments: 0

Article URL: https://jensrantil.github.io/posts/challenging-ai/

Comments URL: https://news.ycombinator.com/item?id=49709711

Points: 1

# Comments: 0

Article URL: https://self.cv/en

Comments URL: https://news.ycombinator.com/item?id=49709695

Points: 1

# Comments: 1

Article URL: https://www.nytimes.com/2026/09/12/us/influencers-social-media-algorithm.html

Comments URL: https://news.ycombinator.com/item?id=49709688

Points: 3

# Comments: 0

Hi,

I wanted to share a project I've building for a while. QuantSupport is a quant library that comtemplates curve construction, simulation and risk analytics for a different asset classes (equity, rates, fx, FI).

https://github.com/jmelo11/quantsupport

It's goal is to be a realistic production tool for financial institutions, instead of being another analytics library as many other tools are. For this, it leverages automatic differentiation from the ground up to obtain risk functionalities (sensitivites), essential for real trading setups.

The library features other engines, like and XVA engine and a scripting language for structuring more complex payoff structures.

Also, its available an example in the following repo:

https://github.com/jmelo11/derivative_structuring

where LLMs leverage the scripting functionalities of the library to provide pricing and insights to user prompted requests, allowing model-consitent results and showing the flexibility of the library.

I like to think that is reaching a more mature state, but to know for sure, it would be very helpful to get feedback from people from the quant space. Any feedback is highly appreciated.

Comments URL: https://news.ycombinator.com/item?id=49709680

Points: 1

# Comments: 0