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Insane Clown Posse’s Shaggy 2 Dope Confronts AI Version of Himself

Insane Clown Posse’s Joseph Utsler, better known by his stage persona Shaggy 2 Dope, has an AI clone — and apparently, he’s a fan.

Hosted on the Google-backed Character. AI service — which, as a sidebar, Futurism has investigated extensively, repeatedly finding horrible things — the ICP cofounder’s digital doppelganger sounds like a slightly robotic version of the real thing.

The effect is so uncanny that Mr. Dope himself decided to hit the AI up and bring it onto his livestreamed vlog, “The Shaggy Show.”

Ex OpenAI Researcher REVEALS What AGI Will Be Like, New Humanoids And More

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00:01 New Chinese Humanoid Robot (LimX Dynamics)
01:47 Artificial Superintelligence (ASI) Discussion.
03:57 Sam Altman’s 2025 Predictions.
06:53 Geoffrey Hinton Supports Elon Musk’s Lawsuit Against OpenAI
09:11 O1 Model Surpasses Doctors in Diagnoses.
12:09 DeepSeek V3: A Cost-Effective Alternative to GPT-4
14:53 “Reproduce” Paper: Recreating OpenAI’s Reasoning.
15:41 Meta’s Large Concept Models (LCMs)
17:42 AGI Release Insights from OpenAI Employee.
19:45 Google CEO Gears Up for a Big 2025
23:28 Alibaba’s 70B Model.
24:30 OpenAI’s AGI Definition: $100 Billion in Profits.
25:24 Matrix One Humanoid Robot.

Links From Todays Video:

Chinese LimX humanoid robot CL2 reminds me of the new Atlas model
byu/torb insingularity

https://gizmodo.com/godfather-of-ai-throws-support-behind-el…2000544349
https://www.cnbc.com/2024/12/27/google-ceo-pichai-tells-empl…-2025.html.

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The Rise Of Unpredictable AI: Will AI Test Human Control In 2025?

This behavior highlights a critical issue: even systems designed for seemingly harmless tasks can produce unforeseen outcomes when granted enough autonomy.

The challenges posed by AI today are reminiscent of automated trading systems in financial markets. Algorithms designed to optimize trades have triggered flash crashes —sudden, extreme market volatility occurring within seconds, too fast for human intervention to correct.

Similarly, modern AI systems are built to optimize tasks at extraordinary speeds. Without robust controls, their growing complexity and autonomy could unleash consequences no one anticipated—just as automated trading once disrupted financial markets.