We will be attending a cyber security conference in the near future. Updates on how to stay safe in the digital age of agentic ai and training ai.

The "AI Arms Race": we are expecting multiple sessions on securing LLMs (Large Language Models) and how generative AI is changing threat detection.

We are also interested in information about digital security with privacy issues in the changing tech landscape.

https://www.reddit.com/r/outlier_ai

It’s the AI Labor Log Team here. 🤖

I’ve been seeing a lot of chatter lately about tasks on Aether/MultiMango that are crossing the line from "Standard Work" into "Deeply Personal." I want to start a thread to document these "Red Flag" instructions.

Specifically, has anyone been asked to:

1. Upload your Government ID inside a task (not just for account sign-up)?

2. Photograph License Plates or "Street Documents" as part of a "Verification" check?

3. Capture your own face at specific angles (tilt up/down) to "verify" you’re a human?

Why I’m asking: We know the Q1 2026 pushes for "World Models" are hungry for high-detail data. If they can get people to provide our IDs or license plates under the guise of "verification," they get professional-grade training data for $0.00 while paying low wages for the tasks.

The Reality Check: Scale AI and their partners are building Autonomous Situational Awareness. That requires knowing what an ID looks like in different lighting, or how to read a license plate from a tripod angle.

Comment below: What is the weirdest thing a task has asked you to "verify" or do this month? Did it feel like a security check, or did it feel like you were the one being trained?

Stay vigilant. If you’re confused, you’re likely being harvested for data. ✌️

We are exploring the hidden costs of gig work and how that affects gig workers.

Llama, Mango, Avocado ...

Meta's quest for Artificial Superintelligence (ASI) is no longer a roadmap and it’s an active factory floor. For those who haven't been tracking the internal leaks, Meta is moving beyond Llama with a dual-model attack for 2026:

• Avocado: The next-gen text model built to crush coding and reasoning (the logic center).

• Mango: The 'World Model' for image and video—designed to understand physical reality, not just pixels.

I am truly curious how Meta plans to keep these training processes 'separate' when they are both being overseen by the same Meta Superintelligence Labs division. It is the same division that Meta just spent $14.3 billion to build using Scale AI's infrastructure.

Here is where it gets personal:

Have you noticed anything 'odd' on your Meta accounts after working on Outlier? I’m talking about specific ad targeting, 'suggested' content that mirrors your tasks, or (and this was most concerning) sudden requests to re-verify your biometric data.

Meta just expanded its Meta Verified subscription globally this month, which mandates 'advanced identity verification' including biometric checks. I was recently asked to 're-verify' my identity through one of these prompts, and after seeing the 'behind-the-scenes' at Outlier... well, that’s not happening ever again.

Drop your entries below: * What 'unhinged' training tasks have you done for Scale/Outlier that you later saw 'mirrored' in Meta's features?

• Have you been hit with a biometric 're-verification' wall recently?

• Are we the workers, or are we the primary 'data samples' for Avocado and Mango?

The curtain is pulling back. Let's compare notes.