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On 2026-08-05 @0xDevShah announced Detect-3B Omni, a new multi-modal…

2026-08-05 · 18:33 UTC ·@0xDevShah ·1 min read

Brief

Detect-3B Omni is a newly announced multi-modal classifier from @0xDevShah (2026-08-05) positioned for real-time spotting of manipulated audio, video, and images to defend platforms from AI media fraud. The post cites recent AI voice-clone attacks on hedge funds—attackers cloned voices from calls to impersonate coworkers; Point72 was hit, Two Sigma ($75B AUM) blocked it, Citadel declined to comment.

Why it matters

On 2026-08-05 @0xDevShah announced Detect-3B Omni, a new multi-modal classification model that claims real-time detection of manipulated audio, video, and images and is being offered to companies globally to protect platforms from AI media fraud.

Key details

  • A linked thread details hackers using AI voice cloning to attack hedge funds: attackers recorded calls, cloned voice/tone/phrasing, then called employees posing as coworkers to request access; Point72 said it was hit (told investors Wednesday), Two Sigma ($75B AUM) blocked the attempt, Citadel declined to comment.
Source evidence

We are building a whole new category of classification models. Introducing Detect-3B Omni, our most powerful multi-modal model designed to spot manipulated audio, video, and images in real-time.

We are helping companies globally to protect their platforms against AI media fraud. DMs are open!

Video

NIK (@ns123abc)

🚨 BREAKING: Hackers Used AI Voice Clones to Attack Wall Street’s Biggest Hedge Funds

> listen in on a phone call
> clone the voice, tone, even the phrasing
> call an employee as their “coworker”
> “hey can you give me access real quick”
> walk straight into a hedge fund’s systems

Point72: told investors Wednesday they were hit. Still reviewing.

Two Sigma ($75B AUM): says they blocked it.

Citadel: declined to comment 💀

— https://nitter.net/ns123abc/status/2085060406825898229#m