For several years now, technologists have rung alarm bells about the potential for advanced AI systems to cause catastrophic damage to the human race.

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.”
Researchers developed a “waveform movement” technology enabling robots to express emotions through natural facial gestures.
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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
OpenAI’s Sébastien Bubeck says GPT-4 already outperformed human doctors at diagnosis, but there are cases in which o1 is nearly twice as accurate as humans pic.twitter.com/zhg0Xuop5t
— Tsarathustra (@tsarnick) December 27, 2024
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.
will AGI be announced publically?
OpenAI Ex-Researcher Daniel Kokotajlo predicts 3 important scenarios:
- before we see robots like plumbers, AGI research will already be automated for over a year
- superintelligent systems in data centers will surpass human abilities in every… pic.twitter.com/qbj77p0jYR
— Haider. (@slow_developer) December 31, 2024
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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.